diff --git a/.github/workflows/Nightly_Perf_Env_CI.yml b/.github/workflows/Nightly_Perf_Env_CI.yml index 184730f52..22f025971 100644 --- a/.github/workflows/Nightly_Perf_Env_CI.yml +++ b/.github/workflows/Nightly_Perf_Env_CI.yml @@ -217,6 +217,7 @@ jobs: if: always() run: | if [[ "${{ job.status }}" == "failure" || "${{ job.status }}" == "cancelled" ]]; then echo "status=${{ job.status }}" >> $GITHUB_OUTPUT; fi + finalize_nightly: name: finalize nightly runs-on: ubuntu-latest @@ -314,3 +315,84 @@ jobs: echo "if [[ \"\$(sudo podman images -q quay.io/ebattat/benchmark-runner 2> /dev/null)\" != \"\" ]]; then sudo podman rmi -f \$(sudo podman images -q quay.io/ebattat/benchmark-runner 2> /dev/null); fi" > "$RUNNER_PATH/remove_image.sh" scp -r "$RUNNER_PATH/remove_image.sh" provision:"/tmp/remove_image.sh" ssh -t provision "chmod +x /tmp/remove_image.sh;/tmp/./remove_image.sh;rm -f /tmp/remove_image.sh" + + update_grafana_dashboard: + # update grafana dashboard with latest product versions/ grafonnet code + name: update_grafana_dashboard + needs: [ initialize_nightly, workload, finalize_nightly ] + runs-on: ubuntu-latest + steps: + - name: Checkout repository + uses: actions/checkout@v3 + - name: Install dependencies + run: | + python -m pip install --upgrade pip + if [[ -f requirements.txt ]]; then pip install -r requirements.txt; fi + + - name: Update latest product versions in main.libsonnet + env: + MAIN_LIBSONNET_PATH: ${{ secrets.PERF_MAIN_LIBSONNET_PATH }} + ELASTICSEARCH: ${{ secrets.PERF_ELASTICSEARCH }} + ELASTICSEARCH_PORT: ${{ secrets.PERF_ELASTICSEARCH_PORT }} + ELASTICSEARCH_USER: ${{ secrets.PERF_ELASTICSEARCH_USER }} + ELASTICSEARCH_PASSWORD: ${{ secrets.PERF_ELASTICSEARCH_PASSWORD }} + run: | + python "$GITHUB_WORKSPACE"/grafonnet_generator/grafana/update_versions_main_libsonnet.py + + - name: Generate grafana dashboard.json using grafonnet container + run: | + sudo podman run --rm --name run_grafonnet -v "$GITHUB_WORKSPACE"/benchmark_runner/grafana/perf:/app --privileged quay.io/ebattat/run_grafonnet:latest + + - name: Check for changes in dashboard.json + id: json_check_changes + run: | + git diff --quiet "$GITHUB_WORKSPACE"/benchmark_runner/grafana/perf/dashboard.json || echo "changes=true" >> "$GITHUB_OUTPUT" + + - name: Update the Grafana dashboard if any changes are detected in dashboard.json + if: steps.json_check_changes.outputs.changes == 'true' + env: + PERF_GRAFANA_URL: ${{ secrets.PERF_GRAFANA_URL }} + PERF_GRAFANA_API_KEY: ${{ secrets.PERF_GRAFANA_API_KEY }} + GRAFANA_JSON: ${{ secrets.PERF_GRAFANA_JSON }} + run: | + # Backup dashboard.json before before adding dashboard version by Python code + cp -p "$GITHUB_WORKSPACE"/benchmark_runner/grafana/perf/dashboard.json "$GITHUB_WORKSPACE"/benchmark_runner/grafana/perf/dashboard_backup.json + # Updates new product versions and override Grafana dashboard + python "$GITHUB_WORKSPACE"/benchmark_runner/grafana/update_grafana_dashboard.py + # Revert dashboard.json after adding dashboard version by Python code + cp -p "$GITHUB_WORKSPACE"/benchmark_runner/grafana/perf/dashboard_backup.json "$GITHUB_WORKSPACE"/benchmark_runner/grafana/perf/dashboard.json + + - name: Commit dashboard.json if any changes are detected + if: steps.json_check_changes.outputs.changes == 'true' + run: | + git checkout main + git config --global user.email "${{ secrets.EMAIL }}" + git config --global user.name "${{ secrets.USER_NAME }}" + git add "$GITHUB_WORKSPACE"/benchmark_runner/grafana/perf/dashboard.json + git commit -m "Update grafana json file" + + # Pull the latest changes from the remote main branch + git pull origin main + + # Push the changes to the remote main branch + git push + + - name: Check if adding new products versions in main.libsonnet + id: libsonnet_check_changes + run: | + git diff --quiet "$GITHUB_WORKSPACE"/benchmark_runner/grafana/perf/jsonnet/main.libsonnet || echo "changes=true" >> "$GITHUB_OUTPUT" + + - name: Commit main.libsonnet if any changes are detected + if: steps.libsonnet_check_changes.outputs.changes == 'true' + run: | + git checkout main + git config --global user.email "${{ secrets.EMAIL }}" + git config --global user.name "${{ secrets.USER_NAME }}" + git add "$GITHUB_WORKSPACE"/benchmark_runner/grafana/perf/jsonnet/main.libsonnet + git commit -m "Update grafana json file" + + # Pull the latest changes from the remote main branch + git pull origin main + + # Push the changes to the remote main branch + git push diff --git a/.github/workflows/Perf_Env_Build_Test_CI.yml b/.github/workflows/Perf_Env_Build_Test_CI.yml index fe575e94a..4a27daa83 100644 --- a/.github/workflows/Perf_Env_Build_Test_CI.yml +++ b/.github/workflows/Perf_Env_Build_Test_CI.yml @@ -135,6 +135,9 @@ jobs: IBM_BUCKET: ${{ secrets.IBM_BUCKET }} IBM_KEY: ${{ secrets.IBM_KEY }} RUN_ARTIFACTS_URL: ${{ secrets.PERF_RUN_ARTIFACTS_URL }} + GRAFANA_URL: ${{ secrets.PERF_GRAFANA_URL }} + GRAFANA_API_KEY: ${{ secrets.PERF_GRAFANA_API_KEY }} + GRAFANA_JSON: ${{ secrets.PERF_GRAFANA_JSON }} run: | # Install Dockerfile content for pytest # install oc/kubectl @@ -261,9 +264,90 @@ jobs: echo '⌛ Wait 30 sec till image will be updated in quay.io' sleep 30 + update_grafana_dashboard: + # update grafana dashboard with latest product versions/ grafonnet code + name: update_grafana_dashboard + needs: [ unittest, integration_test, pypi_upload, pypi_validate ] + runs-on: ubuntu-latest + steps: + - name: Checkout repository + uses: actions/checkout@v3 + - name: Install dependencies + run: | + python -m pip install --upgrade pip + if [[ -f requirements.txt ]]; then pip install -r requirements.txt; fi + + - name: Update latest product versions in main.libsonnet + env: + MAIN_LIBSONNET_PATH: ${{ secrets.PERF_MAIN_LIBSONNET_PATH }} + ELASTICSEARCH: ${{ secrets.PERF_ELASTICSEARCH }} + ELASTICSEARCH_PORT: ${{ secrets.PERF_ELASTICSEARCH_PORT }} + ELASTICSEARCH_USER: ${{ secrets.PERF_ELASTICSEARCH_USER }} + ELASTICSEARCH_PASSWORD: ${{ secrets.PERF_ELASTICSEARCH_PASSWORD }} + run: | + python "$GITHUB_WORKSPACE"/grafonnet_generator/grafana/update_versions_main_libsonnet.py + + - name: Generate grafana dashboard.json using grafonnet container + run: | + sudo podman run --rm --name run_grafonnet -v "$GITHUB_WORKSPACE"/benchmark_runner/grafana/perf:/app --privileged quay.io/ebattat/run_grafonnet:latest + + - name: Check for changes in dashboard.json + id: json_check_changes + run: | + git diff --quiet "$GITHUB_WORKSPACE"/benchmark_runner/grafana/perf/dashboard.json || echo "changes=true" >> "$GITHUB_OUTPUT" + + - name: Update the Grafana dashboard if any changes are detected in dashboard.json + if: steps.json_check_changes.outputs.changes == 'true' + env: + PERF_GRAFANA_URL: ${{ secrets.PERF_GRAFANA_URL }} + PERF_GRAFANA_API_KEY: ${{ secrets.PERF_GRAFANA_API_KEY }} + GRAFANA_JSON: ${{ secrets.PERF_GRAFANA_JSON }} + run: | + # Backup dashboard.json before before adding dashboard version by Python code + cp -p "$GITHUB_WORKSPACE"/benchmark_runner/grafana/perf/dashboard.json "$GITHUB_WORKSPACE"/benchmark_runner/grafana/perf/dashboard_backup.json + # Updates new product versions and override Grafana dashboard + python "$GITHUB_WORKSPACE"/benchmark_runner/grafana/update_grafana_dashboard.py + # Revert dashboard.json after adding dashboard version by Python code + cp -p "$GITHUB_WORKSPACE"/benchmark_runner/grafana/perf/dashboard_backup.json "$GITHUB_WORKSPACE"/benchmark_runner/grafana/perf/dashboard.json + + - name: Commit dashboard.json if any changes are detected + if: steps.json_check_changes.outputs.changes == 'true' + run: | + git checkout main + git config --global user.email "${{ secrets.EMAIL }}" + git config --global user.name "${{ secrets.USER_NAME }}" + git add "$GITHUB_WORKSPACE"/benchmark_runner/grafana/perf/dashboard.json + git commit -m "Update grafana json file" + + # Pull the latest changes from the remote main branch + git pull origin main + + # Push the changes to the remote main branch + git push + + - name: Check if adding new products versions in main.libsonnet + id: libsonnet_check_changes + run: | + git diff --quiet "$GITHUB_WORKSPACE"/benchmark_runner/grafana/perf/jsonnet/main.libsonnet || echo "changes=true" >> "$GITHUB_OUTPUT" + + - name: Commit main.libsonnet if any changes are detected + if: steps.libsonnet_check_changes.outputs.changes == 'true' + run: | + git checkout main + git config --global user.email "${{ secrets.EMAIL }}" + git config --global user.name "${{ secrets.USER_NAME }}" + git add "$GITHUB_WORKSPACE"/benchmark_runner/grafana/perf/jsonnet/main.libsonnet + git commit -m "Update grafana json file" + + # Pull the latest changes from the remote main branch + git pull origin main + + # Push the changes to the remote main branch + git push + bump_version: name: bump_version - needs: [unittest, integration_test, pypi_upload, pypi_validate, quay_upload] + needs: [unittest, integration_test, pypi_upload, pypi_validate, quay_upload, update_grafana_dashboard] runs-on: ubuntu-latest strategy: matrix: @@ -283,8 +367,8 @@ jobs: version=$(python3 setup.py --version) git checkout main pip install bumpversion - git config --global user.email ${{ secrets.EMAIL }} - git config --global user.name ${{ secrets.USER_NAME }} + git config --global user.email "${{ secrets.EMAIL }}" + git config --global user.name "${{ secrets.USER_NAME }}" git config pull.rebase false # merge (the default strategy) bumpversion patch # GITHUB_REPOSITORY already taken => GIT_REPOSITORY @@ -295,7 +379,7 @@ jobs: e2e: name: e2e - needs: [unittest, integration_test, pypi_upload, pypi_validate, quay_upload, bump_version] + needs: [unittest, integration_test, pypi_upload, pypi_validate, quay_upload, update_grafana_dashboard, bump_version] runs-on: ubuntu-latest strategy: # run one job every time @@ -373,4 +457,3 @@ jobs: ssh -t provision "podman run --rm -t -e WORKLOAD='${{ matrix.workload }}' -e KUBEADMIN_PASSWORD='$KUBEADMIN_PASSWORD' -e PIN_NODE_BENCHMARK_OPERATOR='$PIN_NODE_BENCHMARK_OPERATOR' -e PIN_NODE1='$PIN_NODE1' -e PIN_NODE2='$PIN_NODE2' -e ELASTICSEARCH='$ELASTICSEARCH' -e ELASTICSEARCH_PORT='$ELASTICSEARCH_PORT' -e ELASTICSEARCH_USER='$ELASTICSEARCH_USER' -e ELASTICSEARCH_PASSWORD='$ELASTICSEARCH_PASSWORD' -e IBM_REGION_NAME='$IBM_REGION_NAME' -e IBM_ENDPOINT_URL='$IBM_ENDPOINT_URL' -e IBM_ACCESS_KEY_ID='$IBM_ACCESS_KEY_ID' -e IBM_SECRET_ACCESS_KEY='$IBM_SECRET_ACCESS_KEY' -e IBM_BUCKET='$IBM_BUCKET' -e IBM_KEY='$IBM_KEY' -e RUN_ARTIFACTS_URL='$RUN_ARTIFACTS_URL' -e BUILD_VERSION='$build_version' -e RUN_TYPE='test_ci' -e TIMEOUT='2000' -e log_level='INFO' -v '$CONTAINER_KUBECONFIG_PATH':'$CONTAINER_KUBECONFIG_PATH' --privileged 'quay.io/ebattat/benchmark-runner:v$build_version'" ssh -t provision "podman rmi -f 'quay.io/ebattat/benchmark-runner:v$build_version'" echo '>>>>>>>>>>>>>>>>>>>>>>>>>> End E2E workload: ${{ matrix.workload }} >>>>>>>>>>>>>>>>>>>>>>>>>>>>' - diff --git a/.github/workflows/Perf_Env_PR_Test_CI.yml b/.github/workflows/Perf_Env_PR_Test_CI.yml index 98a7bc2e9..f6695fb39 100644 --- a/.github/workflows/Perf_Env_PR_Test_CI.yml +++ b/.github/workflows/Perf_Env_PR_Test_CI.yml @@ -148,6 +148,9 @@ jobs: IBM_BUCKET: ${{ secrets.IBM_BUCKET }} IBM_KEY: ${{ secrets.IBM_KEY }} RUN_ARTIFACTS_URL: ${{ secrets.PERF_RUN_ARTIFACTS_URL }} + GRAFANA_URL: ${{ secrets.PERF_GRAFANA_URL }} + GRAFANA_API_KEY: ${{ secrets.PERF_GRAFANA_API_KEY }} + GRAFANA_JSON: ${{ secrets.PERF_GRAFANA_JSON }} run: | # Install Dockerfile content for pytest # install oc/kubectl diff --git a/.gitignore b/.gitignore index e6f77ccdf..658d15553 100644 --- a/.gitignore +++ b/.gitignore @@ -200,6 +200,11 @@ fabric.properties # Editor-based Rest Client .idea/httpRequests +# Terraform +.terraform +.terraform.lock.hcl +terraform.tfstate + # custom file configuration /benchmark_runner/main/empty_environment_variables.py /benchmark_runner/main/empty_test_environment_variables.py diff --git a/HOW_TO.md b/HOW_TO.md index a434a09bf..e29870dd0 100644 --- a/HOW_TO.md +++ b/HOW_TO.md @@ -226,10 +226,10 @@ any template .yaml files. 6. Save & test 2. Open grafana dashboard benchmark-runner-report: 1. Open grafana - 2. Create(+) -> import -> paste [grafana/func/benchmark-runner-report.json](grafana/func/benchmark-runner-report.json) -> Load - 3. Create panel from scratch or duplicate existing on (stressng/uperf) + 2. Create(+) -> import -> paste [grafana/func/dashboard.json](benchmark_runner/grafana/func/dashboard.json) -> Load + 3. Create panel from scratch or duplicate existing on (e.g. uperf) 4. Configure the workload related metrics - 5. Save dashboard -> share -> Export -> view json -> Copy to clipboard -> override existing one [grafana/func/benchmark-runner-report.json](grafana/func/benchmark-runner-report.json) + 5. Save dashboard -> share -> Export -> view json -> Copy to clipboard -> override existing one [grafana/func/dashboard.json](benchmark_runner/grafana/func/dashboard.json) ### Data template diff --git a/README.md b/README.md index d39e6fb36..ef4067a14 100644 --- a/README.md +++ b/README.md @@ -128,10 +128,9 @@ SAVE RUN ARTIFACTS LOCAL: ## Grafana dashboards There are 2 grafana dashboards templates: -1. [grafana/func/benchmark-runner-ci-status-report.json](grafana/func/benchmark-runner-ci-status-report.json) - ![](media/benchmark-runner-ci-status.png) -2. [grafana/func/benchmark-runner-report.json](grafana/func/benchmark-runner-report.json) - ![](media/benchmark-runner-report.png) +1. [FuncCi dashboard](benchmark_runner/grafana/func/dashboard.json) +2. [PerfCi dashboard](benchmark_runner/grafana/perf/dashboard.json) +** PerfCi dashboard is generated automatically in [Build GitHub actions](https://github.com/redhat-performance/benchmark-runner/blob/main/.github/workflows/Perf_Env_Build_Test_CI.yml) from [main.libsonnet](benchmark_runner/grafana/perf/jsonnet/main.libsonnet) ** After importing json in grafana, you need to configure elasticsearch data source. (for more details: see [HOW_TO.md](HOW_TO.md)) diff --git a/benchmark_runner/common/grafana/__init__.py b/benchmark_runner/common/grafana/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/benchmark_runner/common/grafana/grafana_operations.py b/benchmark_runner/common/grafana/grafana_operations.py new file mode 100644 index 000000000..673990cc0 --- /dev/null +++ b/benchmark_runner/common/grafana/grafana_operations.py @@ -0,0 +1,106 @@ + +import requests +import json +import logging + +logging.basicConfig(level=logging.INFO) + + +class GrafanaOperations: + """ + This class is responsible for Grafana operations + """ + def __init__(self, grafana_url: str, grafana_api_key: str, grafana_json_path: str): + self.grafana_url = grafana_url + self.grafana_api_key = grafana_api_key + self.grafana_json_path = grafana_json_path + self.dashboard_data = {} + self.logger = logging.getLogger(__name__) + + def fetch_all_dashboards(self): + """ + This method fetches all dashboards + :return: + """ + dashboard_list = [] + headers = { + "Authorization": f"Bearer {self.grafana_api_key}", + } + + try: + response = requests.get(f"{self.grafana_url}/api/search", headers=headers) + + if response.status_code == 200: + dashboards = response.json() + for dashboard in dashboards: + dashboard_list.append(f"Dashboard ID: {dashboard['id']}, Title: {dashboard['title']}") + else: + raise Exception(f"Failed to fetch dashboards. Status code: {response.status_code}. Message: {response.text}") + return dashboard_list + except requests.exceptions.RequestException as e: + raise Exception(f"Error fetching dashboards: {e}") + + def increment_dashboard_version(self): + """ + This method increments dashboard version + :return: + """ + self.dashboard_data["version"] = self.get_latest_dashboard_version() + + def read_dashboard_json(self): + """ + This method reads dashboard from json into dictionary + :return: + """ + with open(self.grafana_json_path, 'r') as f: + self.dashboard_data = json.load(f) + + def write_dashboard_json(self): + """ + This method writes dashboard data into json + :return: + """ + with open(self.grafana_json_path, 'w') as json_file: + json.dump(self.dashboard_data, json_file, indent=2) + + def get_latest_dashboard_version(self): + """ + This method get latest dashboard version + :return: + """ + headers = { + "Authorization": f"Bearer {self.grafana_api_key}", + } + try: + response = requests.get(f"{self.grafana_url}/api/dashboards/uid/{self.dashboard_data['uid']}", headers=headers) + response_json = response.json() + return response_json['dashboard']['version'] + + except requests.exceptions.RequestException as e: + raise Exception(f"Error fetching dashboard version: {e}") + + def override_dashboard(self): + """ + This method overrides dashboard with new json + :return: + """ + headers = { + "Authorization": f"Bearer {self.grafana_api_key}", + "Content-Type": "application/json", + } + try: + response = requests.post( + f"{self.grafana_url}/api/dashboards/db", + headers=headers, + json={"dashboard": self.dashboard_data}, + ) + + if response.status_code == 200: + self.logger.info(f"Dashboard '{self.dashboard_data['title']}' overridden successfully.") + else: + # The 412 status code is used when a newer dashboard already exists. + raise Exception( + f"Failed to override dashboard '{self.dashboard_data['title']}'. Status code: {response.status_code}. Message: {response.text}") + + except requests.exceptions.RequestException as e: + raise Exception(f"Error overriding dashboard '{self.dashboard_data['title']}': {e}") diff --git a/benchmark_runner/common/grafana/update_grafana_last_value_mappings.py b/benchmark_runner/common/grafana/update_grafana_last_value_mappings.py new file mode 100644 index 000000000..fd578fce3 --- /dev/null +++ b/benchmark_runner/common/grafana/update_grafana_last_value_mappings.py @@ -0,0 +1,117 @@ + +import json +from datetime import datetime, timedelta + +from benchmark_runner.main.environment_variables import environment_variables +from benchmark_runner.common.elasticsearch.elasticsearch_operations import ElasticSearchOperations + + +class UpdateGrafanaLastValueMappings: + """ + This class updates grafana dashboard with last value mappings from ElasticSearch + """ + # Prevent error messages from being saved instead of versions in case of a connection issue + MAX_VERSION_LEN = 20 + + def __init__(self, main_libsonnet_path: str): + # Stamp start/ end value mapping for extract value mapping + self.start_value_mapping = "//START_VALUE_MAPPING_227" + self.end_value_mapping = "//END_VALUE_MAPPING_227" + self._environment_variables_dict = environment_variables.environment_variables_dict + self.elasticsearch = ElasticSearchOperations(es_host=self._environment_variables_dict.get('elasticsearch', ''), + es_port=self._environment_variables_dict.get('elasticsearch_port', ''), + es_user=self._environment_variables_dict.get('elasticsearch_user', ''), + es_password=self._environment_variables_dict.get('elasticsearch_password', '')) + self.main_libsonnet_path = main_libsonnet_path + self.value_mappings = self.get_value_mappings() + + def get_last_elasticsearch_versions(self, last_days=7): + """ + This method fetched new version from ElasticSearch + :param last_days: default fetch 7 days + :return: + """ + new_versions = {} + current_datetime = datetime.now() + start_datetime = current_datetime - timedelta(days=last_days) + + ids = self.elasticsearch.get_index_ids_between_dates(index='ci-status', start_datetime=start_datetime, + end_datetime=current_datetime) + + display_versions = ['ocp_version', 'cnv_version', 'kata_version', 'kata_rpm_version', 'odf_version'] + for id in ids: + data = self.elasticsearch.get_elasticsearch_index_by_id(index='ci-status', id=id) + for version, value in data['_source'].items(): + if version in display_versions and value not in new_versions.values() and len(value) < self.MAX_VERSION_LEN: + new_versions[value.replace(".", "").replace("-", "")] = value + + return new_versions + + def get_value_mappings(self): + """ + This method gets value mappings from main.libsonnet + :return: + """ + # Initialize a flag to indicate whether the lines are within the desired range + within_range = False + mapping_lines = [] + + # Read the content of the file and store lines between start and end patterns in a list + with open(self.main_libsonnet_path, 'r') as file: + for line in file: + if self.start_value_mapping in line.strip(): + within_range = True + continue # Skip storing the start line + elif self.end_value_mapping in line.strip(): + within_range = False + continue # Skip storing the end line + if within_range: + mapping_lines.append(line.strip()) + + # Join the lines to create the final string + content_string = ''.join(mapping_lines) + + # Convert the string into a dictionary using json.loads() + return json.loads(content_string) + + def update_value_mappings_last_versions(self, last_versions: dict): + """ + This method updated value mapping with last versions + :param last_versions: + :return: + """ + # Sort the dictionary by "index" values and convert it to a list of tuples + sorted_mapping = sorted(self.value_mappings.items(), key=lambda x: x[1]['index']) + # Get the maximum index value and the corresponding key + max_index, max_key = sorted_mapping[-1][1]['index'], sorted_mapping[-1][0] + + num = 1 + for key, value in last_versions.items(): + if not self.value_mappings.get(key): + self.value_mappings[key] = {"index": int(max_index) + num, "text": value} + num += 1 + + def update_main_libsonnet(self): + """ + This method updated last versions in main.libsonnet + :return: + """ + # Read the content of the file and store it in a list + with open(self.main_libsonnet_path, 'r') as file: + lines = file.readlines() + # Find the indices of the lines between start and end + start_index = None + end_index = None + for i, line in enumerate(lines): + if self.start_value_mapping in line: + start_index = i + elif self.end_value_mapping in line: + end_index = i + + # Replace the lines between start and end with the dictionary + if start_index is not None and end_index is not None: + lines[start_index + 1:end_index] = [f'\t\t\t\t {json.dumps(self.value_mappings, indent=None)} \n'] + + # Write the modified content back to the file + with open(self.main_libsonnet_path, 'w') as file: + file.writelines(lines) diff --git a/benchmark_runner/grafana/Dockerfile b/benchmark_runner/grafana/Dockerfile new file mode 100644 index 000000000..b70e55d2a --- /dev/null +++ b/benchmark_runner/grafana/Dockerfile @@ -0,0 +1,18 @@ +FROM quay.io/centos/centos:stream9 + +WORKDIR /app + +ENV TERRAFORM_VERSION=1.5.4 + +RUN dnf update -y && \ + dnf install -y git go wget unzip && \ + go install github.com/google/go-jsonnet/cmd/jsonnet@latest && \ + go install -a github.com/jsonnet-bundler/jsonnet-bundler/cmd/jb@latest && \ + wget https://releases.hashicorp.com/terraform/${TERRAFORM_VERSION}/terraform_${TERRAFORM_VERSION}_linux_amd64.zip && \ + unzip terraform_${TERRAFORM_VERSION}_linux_amd64.zip && \ + mv terraform /usr/local/bin/ && \ + rm terraform_${TERRAFORM_VERSION}_linux_amd64.zip + +ENV PATH="/root/go/bin:${PATH}" + +CMD ["/bin/sh", "-c", "terraform init; make; terraform destroy -auto-approve > /dev/null 2>&1"] diff --git a/benchmark_runner/grafana/__init__.py b/benchmark_runner/grafana/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/grafana/func/benchmark-runner-report.json b/benchmark_runner/grafana/func/benchmark-runner-report.json similarity index 100% rename from grafana/func/benchmark-runner-report.json rename to benchmark_runner/grafana/func/benchmark-runner-report.json diff --git a/grafana/func/benchmark-runner-summary-line-report-final.json b/benchmark_runner/grafana/func/benchmark-runner-summary-line-report-final.json similarity index 100% rename from grafana/func/benchmark-runner-summary-line-report-final.json rename to benchmark_runner/grafana/func/benchmark-runner-summary-line-report-final.json diff --git a/grafana/func/FuncCl-Regression-Summary.json b/benchmark_runner/grafana/func/dashboard.json similarity index 100% rename from grafana/func/FuncCl-Regression-Summary.json rename to benchmark_runner/grafana/func/dashboard.json diff --git a/grafana/func/system-metrics-report.json b/benchmark_runner/grafana/func/system-metrics-report.json similarity index 100% rename from grafana/func/system-metrics-report.json rename to benchmark_runner/grafana/func/system-metrics-report.json diff --git a/benchmark_runner/grafana/perf/Makefile b/benchmark_runner/grafana/perf/Makefile new file mode 100644 index 000000000..2069d55a8 --- /dev/null +++ b/benchmark_runner/grafana/perf/Makefile @@ -0,0 +1,6 @@ +# jsonnet/jsonnetfile.lock.json - representing a specific grafonnet version and not latest +apply: + @cd jsonnet/ && \ + jb install && \ + cd ../ && \ + terraform apply -auto-approve | python3 extract_dashboard.py > dashboard.json diff --git a/benchmark_runner/grafana/perf/dashboard.json b/benchmark_runner/grafana/perf/dashboard.json new file mode 100644 index 000000000..58c9a1f5e --- /dev/null +++ b/benchmark_runner/grafana/perf/dashboard.json @@ -0,0 +1,8580 @@ +{ + "links": [ + { + "asDropdown": false, + "icon": "info", + "includeVars": false, + "keepTime": false, + "targetBlank": true, + "title": "Details", + "type": "link", + "url": "https://docs.google.com/spreadsheets/d/1eSOmyZKJ6f0RIHN0zJNnH-S2YrqrU0oyzp7PNSQvksE/edit#gid=0" + }, + { + "asDropdown": false, + "icon": "bolt", + "includeVars": false, + "keepTime": false, + "targetBlank": true, + "title": "Issues", + "type": "link", + "url": "https://docs.google.com/spreadsheets/d/1vZtg0Gj8IxKPGLWAkB4iD1O59u_WA4ky5P7gGX6xW3M/edit#gid=0" + } + ], + "liveNow": false, + "panels": [ + { + "datasource": { + "type": "datasource", + "uid": "-- Mixed --" + }, + "gridPos": { + "h": 6, + "w": 5, + "x": 0, + "y": 0 + }, + "id": 1, + "options": { + "content": "\n

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"options": "ci_date.keyword" + }, + "properties": [ + { + "id": "custom.width", + "value": 227 + }, + { + "id": "displayName", + "value": "Date" + } + ] + }, + { + "matcher": { + "id": "byName", + "options": "kind.keyword" + }, + "properties": [ + { + "id": "custom.width", + "value": 100 + }, + { + "id": "displayName", + "value": "Kind" + } + ] + }, + { + "matcher": { + "id": "byName", + "options": "run_artifacts_url.keyword" + }, + "properties": [ + { + "id": "custom.width", + "value": 1000 + }, + { + "id": "displayName", + "value": "Artifacts Link" + } + ] + }, + { + "matcher": { + "id": "byName", + "options": "Average" + }, + "properties": [ + { + "id": "displayName", + "value": "Average Rate" + } + ] + }, + { + "matcher": { + "id": "byName", + "options": "Run.keyword" + }, + "properties": [ + { + "id": "custom.width", + "value": 140 + }, + { + "id": "displayName", + "value": "Run" + } + ] + }, + { + "matcher": { + "id": "byName", + "options": "Threads" + }, + "properties": [ + { + "id": "custom.width", + "value": 100 + }, + { + "id": "displayName", + "value": "Thread" + } + ] + } + ] + }, + "gridPos": { + "h": 5, + "w": 24, + "x": 0, + "y": 97 + }, + "id": 38, + "links": [ + { + "targetBlank": true, + "title": "link", + "url": "${__data.fields[\"run_artifacts_url.keyword\"]}" + } + ], + "options": { + "footer": { + "fields": [ + "" + ], + "reducer": [ + "sum" + ], + "show": false + }, + "showHeader": true + }, + "pluginVersion": "v10.0.0", + "targets": [ + { + "alias": "", + "bucketAggs": [ + { + "field": "ci_date.keyword", + "id": "8", + "settings": { + "min_doc_count": "1", + "order": "desc", + "orderBy": "_term", + "size": "10" + }, + "type": "terms" + }, + { + "field": "kind.keyword", + "id": "9", + "settings": { + "min_doc_count": "1", + "order": "desc", + "orderBy": "_term", + "size": "10" + }, + "type": "terms" + }, + { + "field": "scale", + "id": "100", + "settings": { + "min_doc_count": "1", + "order": "desc", + "orderBy": "_term", + "size": "10" + }, + "type": "terms" + }, + { + "field": "run_artifacts_url.keyword", + "id": "11", + "settings": { + "min_doc_count": "1", + "order": "desc", + "orderBy": "_term", + "size": "10" + }, + "type": "terms" + } + ], + "metrics": [ + { + "field": "Rate", + "id": "1", + "type": "avg" + } + ], + "query": "scale:240", + "refId": "A", + "timeField": "timestamp" + } + ], + "title": "bootstorm artifacts", + "transformations": [ + { + "id": "organize", + "options": { + "excludeByName": { + "Average": true + }, + "indexByName": { }, + "renameByName": { } + } + } + ], + "type": "table" + }, + { + "datasource": "Elasticsearch-windows-results", + "desc": "ci_date.keyword", + "fieldConfig": { + "defaults": { + "decimals": 1, + "mappings": [ ], + "min": 0, + "thresholds": { + "mode": "percentage", + "steps": [ + { + "color": "semi-dark-red" + }, + { + "color": "light-orange", + "value": 50 + }, + { + "color": "super-light-green", + "value": 80 + }, + { + "color": "dark-green", + "value": 90 + }, + { + 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+ "field": "scale", + "id": "10", + "settings": { + "min_doc_count": "1", + "order": "desc", + "orderBy": "_term", + "size": "10" + }, + "type": "terms" + }, + { + "field": "run_artifacts_url.keyword", + "id": "11", + "settings": { + "min_doc_count": "1", + "order": "desc", + "orderBy": "_term", + "size": "10" + }, + "type": "terms" + } + ], + "metrics": [ + { + "field": "Rate", + "id": "1", + "type": "avg" + } + ], + "query": "scale:120", + "refId": "A", + "timeField": "timestamp" + } + ], + "title": "Windows artifacts", + "transformations": [ + { + "id": "organize", + "options": { + "excludeByName": { + "Average": true + }, + "indexByName": { }, + "renameByName": { } + } + } + ], + "type": "table" + }, + { + "datasource": "Elasticsearch-ci-status", + "gridPos": { + "h": 4, + "w": 5, + "x": 19, + "y": 107 + }, + "id": 40, + "links": [ + { + "targetBlank": true, + "title": "PerfCI", + "url": "https://github.com/redhat-performance/benchmark-runner/actions" + } + ], + "options": { + "content": "![Cloud Governance](https://github.com/redhat-performance/benchmark-runner/blob/main/media/benchmark_runner.png?raw=true \"Tooltip Text\")\n", + "mode": "markdown" + }, + "pluginVersion": "v10.0.0", + "targets": [ + { + "alias": "", + "bucketAggs": [ + { + "field": "timestamp", + "id": "2", + "settings": { + "interval": "auto" + }, + "type": "date_histogram" + } + ], + "metrics": [ + { + "id": "1", + "type": "count" + } + ], + "query": "", + "refId": "A", + "timeField": "timestamp" + } + ], + "title": "", + "type": "text" + } + ], + "title": "Artifacts", + "type": "row" + } + ], + "refresh": "", + "schemaVersion": 34, + "style": "dark", + "tags": [ ], + "templating": { + "list": [ + { + "allValue": "", + "datasource": "Elasticsearch-hammerdb-results", + "hide": 0, + "includeAll": true, + "multi": true, + "name": "ocp_version", + "query": "{\"find\":\"terms\",\"field\":\"ocp_version.keyword\"}", + "refresh": 2, + "regex": "", + "sort": 6, + "type": "query" + }, + { + "allValue": "", + "datasource": "Elasticsearch-hammerdb-results", + "hide": 0, + "includeAll": true, + "multi": true, + "name": "db_type", + "query": "{\"find\":\"terms\",\"field\":\"db_type.keyword\"}", + "refresh": 2, + "regex": "", + "sort": 1, + "type": "query" + }, + { + "allValue": "", + "datasource": "Elasticsearch-hammerdb-results", + "hide": 0, + "includeAll": true, + "multi": true, + "name": "current_worker", + "query": "{\"find\":\"terms\",\"field\":\"current_worker\"}", + "refresh": 2, + "regex": "", + "sort": 1, + "type": "query" + }, + { + "allValue": "", + "datasource": "Elasticsearch-hammerdb-results", + "hide": 0, + "includeAll": true, + "multi": true, + "name": "kind", + "query": "{\"find\":\"terms\",\"field\":\"kind.keyword\"}", + "refresh": 2, + "regex": "", + "sort": 1, + "type": "query" + }, + { + "allValue": "", + "datasource": "Elasticsearch-vdbench-results", + "hide": 0, + "includeAll": true, + "multi": true, + "name": "vdbench_type", + "query": "{\"find\":\"terms\",\"field\":\"Run.keyword\"}", + "refresh": 2, + "regex": "", + "sort": 6, + "type": "query" + } + ] + }, + "time": { + "from": "now-45d", + "to": "now" + }, + "timepicker": { }, + "timezone": "", + "title": "PerfCI-Regression-Summary", + "uid": "T4775LKnzzmichey", + "weekStart": "" +} diff --git a/benchmark_runner/grafana/perf/dashboard.tf b/benchmark_runner/grafana/perf/dashboard.tf new file mode 100644 index 000000000..5a2cd92ff --- /dev/null +++ b/benchmark_runner/grafana/perf/dashboard.tf @@ -0,0 +1,20 @@ +terraform { + required_providers { + jsonnet = { + source = "alxrem/jsonnet" + version = ">= 2.2.0" + } + } +} + +provider "jsonnet" { + jsonnet_path = "${path.cwd}/jsonnet/vendor" +} + +data "jsonnet_file" "dashboard" { + source = "${path.cwd}/jsonnet/main.libsonnet" +} + +output "dashboard" { + value = data.jsonnet_file.dashboard.rendered +} diff --git a/benchmark_runner/grafana/perf/extract_dashboard.py b/benchmark_runner/grafana/perf/extract_dashboard.py new file mode 100644 index 000000000..3024cc834 --- /dev/null +++ b/benchmark_runner/grafana/perf/extract_dashboard.py @@ -0,0 +1,19 @@ +import re +import sys +import json + +input_text = sys.stdin.read() + +match = re.search(r'dashboard = < > 100% new peak

\n

90% - 100% of peak

\n

80% - 90% of peak

\n

50% - 80% of peak

\n

0% - 50% of peak

\n\n\n ') + + g.panel.text.options.withMode("html") + + + g.panel.text.withPluginVersion() + + + g.panel.text.withTargets([ + + elasticsearch.withAlias('') + + + elasticsearch.withBucketAggs([ + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('2') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + ]) + + + g.panel.text.datasource.withType('elasticsearch') + + g.panel.text.datasource.withUid('cd4b9568-576c-4528-b200-89b91a098410') + + + elasticsearch.withMetrics([ + elasticsearch.metrics.Count.withId('1') + + elasticsearch.metrics.Count.withType('count') + + ]) + + + elasticsearch.withQuery('') + + elasticsearch.withRefId('A') + + elasticsearch.withTimeField('timestamp') + + + ]), + + //////////////////////////////////////////// + g.panel.text.new('') + + g.panel.text.panelOptions.withDescription("") + + + g.panel.text.gridPos.withH(6) + + g.panel.text.gridPos.withW(5) + + g.panel.text.gridPos.withX(19) + + g.panel.text.gridPos.withY(0) + + + g.panel.text.withId('187') + + + g.panel.text.options.withContent('![Cloud Governance](https://www.cielhr.com/wp-content/uploads/2019/10/PerformancewSpace-1080x675.png \"Tooltip Text\")\n') + + g.panel.text.options.withMode("markdown") + + + g.panel.text.withPluginVersion() + + + + g.panel.text.withTargets([ + + elasticsearch.withAlias('') + + + elasticsearch.withBucketAggs([ + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('2') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + ]) + + + g.panel.text.datasource.withType('elasticsearch') + + g.panel.text.datasource.withUid('cd4b9568-576c-4528-b200-89b91a098410') + + + elasticsearch.withMetrics([ + elasticsearch.metrics.Count.withId('1') + + elasticsearch.metrics.Count.withType('count') + + ]) + + + elasticsearch.withQuery('') + + elasticsearch.withRefId('A') + + elasticsearch.withTimeField('timestamp') + + + ]), + + + + + + + + //////////////////////////////////////// + stateTimeline.new('Product Versions') + + + + stateTimeline.withDescription("OVN - 09/19") + + + stateTimeline.queryOptions.withDatasource('Elasticsearch-ci-status') + + stateTimeline.standardOptions.color.withFixedColor('#132dc3') + + stateTimeline.standardOptions.color.withMode('fixed') + + stateTimeline.fieldConfig.defaults.custom.withFillOpacity(85) + + stateTimeline.fieldConfig.defaults.custom.withLineWidth(0) + + + stateTimeline.fieldConfig.defaults.withMappings([ + stateTimeline.valueMapping.RegexMap.withOptions( + //START_VALUE_MAPPING_227 + {"0": {"index": 0, "text": "fail"}, "1": {"index": 1, "text": "pass"}, "102": {"index": 13, "text": "1.0.2"}, "110": {"index": 14, "text": "1.1.0"}, "120": {"index": 15, "text": "1.2.0"}, "121": {"index": 16, "text": "1.2.1"}, "130": {"index": 45, "text": "1.3.0"}, "131": {"index": 117, "text": "1.3.1"}, "132": {"index": 76, "text": "1.3.2"}, "133": {"index": 77, "text": "1.3.3"}, "140": {"index": 118, "text": "1.4.0"}, "483": {"index": 0, "text": "4.8.3"}, "484": {"index": 1, "text": "4.8.4"}, "485": {"index": 2, "text": "4.8.5"}, "486": {"index": 3, "text": "4.8.6"}, "487": {"index": 4, "text": "4.8.7"}, "488": {"index": 5, "text": "4.8.8"}, "3025": {"index": 86, "text": "3.0.2-5"}, "3026": {"index": 119, "text": "3.0.2-6"}, "4102": {"index": 33, "text": "4.10.2"}, "4104": {"index": 34, "text": "4.10.4"}, "4105": {"index": 35, "text": "4.10.5"}, "4106": {"index": 36, "text": "4.10.6"}, "4108": {"index": 37, "text": "4.10.8"}, "4109": {"index": 38, "text": "4.10.9"}, "4114": {"index": 54, "text": "4.11.4"}, "4115": {"index": 55, "text": "4.11.5"}, "4116": {"index": 56, "text": "4.11.6"}, "4117": {"index": 57, "text": "4.11.7"}, "4118": {"index": 58, "text": "4.11.8"}, "4119": {"index": 59, "text": "4.11.9"}, "4120": {"index": 68, "text": "4.12.0"}, "4121": {"index": 69, "text": "4.12.1"}, "4122": {"index": 70, "text": "4.12.2"}, "4124": {"index": 80, "text": "4.12.4"}, "4130": {"index": 106, "text": "4.13.0"}, "4131": {"index": 109, "text": "4.13.1"}, "4132": {"index": 110, "text": "4.13.2"}, "4133": {"index": 111, "text": "4.13.3"}, "4814": {"index": 6, "text": "4.8.14"}, "4932": {"index": 8, "text": "4.9.3-2"}, "4947": {"index": 9, "text": "4.9.4-7"}, "4955": {"index": 10, "text": "4.9.5-5"}, "4961": {"index": 11, "text": "4.9.6-1"}, "4972": {"index": 12, "text": "4.9.7-2"}, "41002": {"index": 30, "text": "4.10.0-rc.2"}, "41003": {"index": 31, "text": "4.10.0-rc.3"}, "41007": {"index": 32, "text": "4.10.0-rc.7"}, "41010": {"index": 39, "text": "4.10.10"}, "41011": {"index": 40, "text": "4.10.11"}, "41012": {"index": 41, "text": "4.10.12"}, "41013": {"index": 42, "text": "4.10.13"}, "41014": {"index": 43, "text": "4.10.14"}, "41015": {"index": 44, "text": "4.10.15"}, "41016": {"index": 21, "text": "4.10.1-6"}, "41021": {"index": 28, "text": "4.10.2-1"}, "41023": {"index": 29, "text": "4.10.2-3"}, "41054": {"index": 49, "text": "4.10.5-4"}, "41066": {"index": 48, "text": "4.10.6-6"}, "41110": {"index": 60, "text": "4.11.10"}, "41111": {"index": 61, "text": "4.11.11"}, "41112": {"index": 62, "text": "4.11.12"}, "41113": {"index": 63, "text": "4.11.13"}, "41114": {"index": 64, "text": "4.11.14"}, "41144": {"index": 78, "text": "4.11.4-4"}, "41159": {"index": 79, "text": "4.11.5-9"}, "41206": {"index": 65, "text": "4.12.0.6"}, "41207": {"index": 66, "text": "4.12.0.7"}, "41208": {"index": 67, "text": "4.12.0.8"}, "41218": {"index": 73, "text": "4.12.1-8"}, "41224": {"index": 85, "text": "4.12.2-4"}, "41304": {"index": 102, "text": "4.13.0-rc.4"}, "41305": {"index": 103, "text": "4.13.0-rc.5"}, "41307": {"index": 104, "text": "4.13.0-rc.7"}, "41308": {"index": 105, "text": "4.13.0-rc.8"}, "49211": {"index": 7, "text": "4.9.2-11"}, "410129": {"index": 22, "text": "4.10.1-29"}, "410136": {"index": 23, "text": "4.10.1-36"}, "410160": {"index": 24, "text": "4.10.1-60"}, "410170": {"index": 25, "text": "4.10.1-70"}, "410197": {"index": 26, "text": "4.10.1-97"}, "411115": {"index": 52, "text": "4.11.1-15"}, "411121": {"index": 51, "text": "4.11.1-21"}, "411135": {"index": 46, "text": "4.11.1-35"}, "411142": {"index": 47, "text": "4.11.1-42"}, "411605": {"index": 53, "text": "4.11.6-5"}, "412116": {"index": 74, "text": "4.12.1-16"}, "412119": {"index": 84, "text": "4.12.1-19"}, "412122": {"index": 75, "text": "4.12.1-22"}, "412139": {"index": 82, "text": "4.12.1-39"}, "412140": {"index": 81, "text": "4.12.1-40"}, "412317": {"index": 121, "text": "4.12.3-17"}, "413014": {"index": 101, "text": "4.13.0-ec.4"}, "413118": {"index": 113, "text": "4.13.1-18"}, "413140": {"index": 114, "text": "4.13.1-40"}, "4100683": {"index": 17, "text": "4.10.0-683"}, "4100688": {"index": 18, "text": "4.10.0-688"}, "4100700": {"index": 19, "text": "4.10.0-700"}, "4100729": {"index": 20, "text": "4.10.0-729"}, "4101101": {"index": 27, "text": "4.10.1-101"}, "4110137": {"index": 50, "text": "4.11.0-137"}, "4120173": {"index": 83, "text": "4.12.0-173"}, "4120777": {"index": 71, "text": "4.12.0-777"}, "4120781": {"index": 72, "text": "4.12.0-781"}, "4131154": {"index": 115, "text": "4.13.1-154"}, "41301586": {"index": 88, "text": "4.13.0-1586"}, "41301649": {"index": 89, "text": "4.13.0-1649"}, "41301666": {"index": 91, "text": "4.13.0-1666"}, "41301689": {"index": 90, "text": "4.13.0-1689"}, "41301782": {"index": 92, "text": "4.13.0-1782"}, "41301856": {"index": 93, "text": "4.13.0-1856"}, "41301938": {"index": 94, "text": "4.13.0-1938"}, "41301943": {"index": 95, "text": "4.13.0-1943"}, "41302115": {"index": 96, "text": "4.13.0-2115"}, "41302176": {"index": 97, "text": "4.13.0-2176"}, "41302229": {"index": 98, "text": "4.13.0-2229"}, "41302251": {"index": 99, "text": "4.13.0-2251"}, "41302269": {"index": 100, "text": "4.13.0-2269"}, "4130ec3": {"index": 87, "text": "4.13.0-ec.3"}, "CNV": {"index": 112, "text": "CNV"}, "KATA": {"index": 116, "text": "KATA"}, "OCP": {"index": 108, "text": "OCP"}, "ODF": {"index": 120, "text": "ODF"}, "Product Versions": {"index": 107, "text": "Product Versions"}, "4136": {"index": 122, "text": "4.13.6"}, "413360": {"index": 123, "text": "4.13.3-60"}, "41244": {"index": 126, "text": "4.12.4-4"}, "4134": {"index": 130, "text": "4.13.4"}, "4131206": {"index": 131, "text": "4.13.1-206"}, "4131214": {"index": 132, "text": "4.13.1-214"}, "41323": {"index": 133, "text": "4.13.2-3"}, "413273": {"index": 134, "text": "4.13.2-73"}, "41338": {"index": 135, "text": "4.13.3-8"}, "413267": {"index": 136, "text": "4.13.2-67"}, "4137": {"index": 137, "text": "4.13.7"}, "4133166": {"index": 138, "text": "4.13.3-166"}, "141": {"index": 139, "text": "1.4.1"}, "41252": {"index": 140, "text": "4.12.5-2"}, "4138": {"index": 141, "text": "4.13.8"}, "4133203": {"index": 142, "text": "4.13.3-203"}, "4139": {"index": 143, "text": "4.13.9"}, "413426": {"index": 145, "text": "4.13.4-26"}, "4133266": {"index": 146, "text": "4.13.3-266"}} + //END_VALUE_MAPPING_227 + ) + + stateTimeline.valueMapping.RegexMap.withType('value') + + + ]) + + + stateTimeline.fieldConfig.defaults.thresholds.withMode('absolute') + + stateTimeline.fieldConfig.defaults.thresholds.withSteps([ + g.panel.alertGroups.thresholdStep.withColor('green') + + g.panel.alertGroups.thresholdStep.withValue(null) + + ]) + + + stateTimeline.fieldConfig.withOverrides([ + stateTimeline.fieldOverride.byName.new('Ci Status') + + g.panel.table.fieldOverride.byName.withProperty('color', {"mode": "continuous-RdYlGr"}) + ]) + + + stateTimeline.gridPos.withH(6) + + stateTimeline.gridPos.withW(24) + + stateTimeline.gridPos.withX(0) + + stateTimeline.gridPos.withY(6) + + + stateTimeline.withId(171) + + stateTimeline.queryOptions.withInterval("1d") + + + stateTimeline.panelOptions.withLinks([ + stateTimeline.link.withTargetBlank(true) + + stateTimeline.link.withTitle('OCP version') + + stateTimeline.link.withUrl('https://openshift-release.apps.ci.l2s4.p1.openshiftapps.com/') + + ]) + + + stateTimeline.options.withAlignValue("right") + + stateTimeline.options.legend.withDisplayMode("hidden") + + stateTimeline.options.legend.withPlacement("bottom") + + stateTimeline.options.withMergeValues(true) + + stateTimeline.options.withRowHeight(0.85) + + stateTimeline.options.withShowValue("always") + + stateTimeline.options.tooltip.withMode("single") + + + stateTimeline.withPluginVersion() + + + g.panel.stateTimeline.withTargets([ + + elasticsearch.withAlias('Openshift') + + elasticsearch.withBucketAggs([ + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('2') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + ]) + + + + elasticsearch.withHide(false) + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('ci_minutes_time') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.settings.withScript('Integer.parseInt(\"0\"+doc["ocp_version.keyword"].value.replace(\".\",\"\").replace(\"r\",\"\").replace(\"c\",\"\").replace(\"f\",\"\").replace(\"-\",\"\").replace(\"e\",\"1\").replace(\"c\",\"\").replace(\"r\",\"\"))') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + + elasticsearch.withQuery('_exists_:ocp_version AND ocp_version:$ocp_version') + + elasticsearch.withRefId('A') + + elasticsearch.withTimeField('timestamp'), + + //// + + elasticsearch.withAlias('CNV Nightly op.') + + elasticsearch.withBucketAggs([ + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('2') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + ]) + + + elasticsearch.withHide(false) + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('ci_minutes_time') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.settings.withScript('(doc["cnv_version.keyword"].value.indexOf(\" \") == -1) ? Integer.parseInt(\"0\"+doc["cnv_version.keyword"].value.replace(\".\",\"\").replace(\"r\",\"\").replace(\"c\",\"\").replace(\"f\",\"\").replace(\"-\",\"\")) : 0') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + + elasticsearch.withQuery('_exists_:cnv_version AND ocp_version:$ocp_version') + + elasticsearch.withRefId('C') + + elasticsearch.withTimeField('timestamp'), + + //// + elasticsearch.withAlias('KATA op.') + + elasticsearch.withBucketAggs([ + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('2') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + ]) + + + elasticsearch.withHide(false) + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('ci_minutes_time') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.settings.withScript('(doc["kata_version.keyword"].value.indexOf(\" \") == -1) ? Integer.parseInt(doc["kata_version.keyword"].value.replace(\".\",\"\")) : 0') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + + elasticsearch.withQuery('_exists_:kata_version AND ocp_version:$ocp_version') + + elasticsearch.withRefId('D') + + elasticsearch.withTimeField('timestamp'), + + //// + elasticsearch.withAlias('Kata rpm') + + elasticsearch.withBucketAggs([ + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('2') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + ]) + + + + elasticsearch.withHide(false) + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('ci_minutes_time') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.settings.withScript('Integer.parseInt(\"0\"+doc["kata_rpm_version.keyword"].value.replace(\".\",\"\").replace(\"r\",\"\").replace(\"c\",\"\").replace(\"f\",\"\").replace(\"-\",\"\").replace(\"e\",\"1\").replace(\"c\",\"\").replace(\"r\",\"\"))') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + + elasticsearch.withQuery('_exists_:kata_rpm_version AND ocp_version:$ocp_version') + + elasticsearch.withRefId('F') + + elasticsearch.withTimeField('timestamp'), + + //// + elasticsearch.withAlias('ODF op.') + + elasticsearch.withBucketAggs([ + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('2') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + ]) + + + + elasticsearch.withHide(false) + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('ci_minutes_time') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.settings.withScript('((doc["odf_version.keyword"].size() != 0) ? ((doc["odf_version.keyword"].value.indexOf(\" \") == -1) ? Integer.parseInt(\"0\"+doc["odf_version.keyword"].value.replace(\".\",\"\").replace(\"r\",\"\").replace(\"c\",\"\").replace(\"f\",\"\").replace(\"-\",\"\")) : 0) : 0)') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + + elasticsearch.withQuery('_exists_:odf_version AND ocp_version:$ocp_version') + + elasticsearch.withRefId('E') + + elasticsearch.withTimeField('timestamp'), + + //// + elasticsearch.withAlias('ODF # disks') + + elasticsearch.withBucketAggs([ + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('2') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + ]) + + + elasticsearch.withHide(false) + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('odf_disk_count') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withSettings({}) + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + + elasticsearch.withQuery('ocp_version:$ocp_version') + + elasticsearch.withRefId('B') + + elasticsearch.withTimeField('timestamp'), + //// + elasticsearch.withAlias('Ci Status') + + elasticsearch.withBucketAggs([ + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('2') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + ]) + + + elasticsearch.withHide(false) + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('status#') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withSettings({}) + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + + elasticsearch.withQuery('ocp_version:$ocp_version') + + elasticsearch.withRefId('B') + + elasticsearch.withTimeField('timestamp') + + ]), + +////////////////////////////////////////// + g.panel.row.new("Hammerdb") + + g.panel.row.withCollapsed(value=true) + + + g.panel.row.gridPos.withH(1) + + g.panel.row.gridPos.withW(24) + + g.panel.row.gridPos.withX(0) + + g.panel.row.gridPos.withY(12) + + + g.panel.row.withId(136) + + g.panel.row.withPanels([ + + g.panel.stateTimeline.new('HammerDB KTPM') + + stateTimeline.queryOptions.withDatasource('Elasticsearch-hammerdb-results') + + + stateTimeline.standardOptions.color.withMode('thresholds') + + stateTimeline.fieldConfig.defaults.custom.withFillOpacity(70) + + stateTimeline.fieldConfig.defaults.custom.withLineWidth(0) + + + stateTimeline.fieldConfig.defaults.withMappings([]) + + stateTimeline.standardOptions.withMin(0) + + stateTimeline.fieldConfig.defaults.thresholds.withMode('percentage') + + stateTimeline.fieldConfig.defaults.thresholds.withSteps([ + stateTimeline.thresholdStep.withColor('dark-red'), + + stateTimeline.thresholdStep.withColor('semi-dark-orange') + + stateTimeline.thresholdStep.withValue(50), + + stateTimeline.thresholdStep.withColor('super-light-green') + + stateTimeline.thresholdStep.withValue(80), + + stateTimeline.thresholdStep.withColor('dark-green') + + stateTimeline.thresholdStep.withValue(90), + + stateTimeline.thresholdStep.withColor('dark-blue') + + stateTimeline.thresholdStep.withValue(100) + + ]) + + stateTimeline.fieldConfig.withOverrides([]) + + + stateTimeline.gridPos.withH(38) + + stateTimeline.gridPos.withW(24) + + stateTimeline.gridPos.withX(0) + + stateTimeline.gridPos.withY(13) + + + stateTimeline.withId(120) + + stateTimeline.withInterval('1d') + + + stateTimeline.panelOptions.withLinks([ + stateTimeline.link.withTargetBlank(true) + + stateTimeline.link.withTitle('artifacts link') + + stateTimeline.link.withUrl('https://grafana-perf-chmf5l4sh776bznl3b.ibm.rhperfscale.org/d/T4775LKnzzmichey/regression-summary?orgId=1&viewPanel=128') + + ]) + + + stateTimeline.options.withAlignValue('center') + + stateTimeline.options.legend.withDisplayMode('list') + + stateTimeline.options.legend.withPlacement('bottom') + + stateTimeline.options.withMergeValues(value = false) + + stateTimeline.options.withRowHeight(value = 0.9) + + stateTimeline.options.withShowValue('always') + + stateTimeline.options.tooltip.withMode('single') + + + stateTimeline.withPluginVersion() + + + + g.panel.stateTimeline.withTargets([ + elasticsearch.withAlias('{{term db_type.keyword}} : {{term current_worker}} threads : {{term kind.keyword}}: {{term storage_type.keyword}}') + + + elasticsearch.withBucketAggs([ + elasticsearch.bucketAggs.Terms.withField('db_type.keyword') + + elasticsearch.bucketAggs.Terms.withId('3') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('asc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + + elasticsearch.bucketAggs.Terms.withField('current_worker') + + elasticsearch.bucketAggs.Terms.withId('4') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('asc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + + elasticsearch.bucketAggs.Terms.withField('storage_type.keyword') + + elasticsearch.bucketAggs.Terms.withId('5') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + + elasticsearch.bucketAggs.Terms.withField('kind.keyword') + + elasticsearch.bucketAggs.Terms.withId('6') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('2') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + + + + ]) + + + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('tpm') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.settings.withScript('_value/1000') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + + ]) + + elasticsearch.withQuery('_exists_:tpm AND db_type:$db_type AND current_worker:$current_worker AND kind:$kind AND ocp_version:$ocp_version') + + elasticsearch.withRefId('A') + + elasticsearch.withTimeField('timestamp') + ]) + + + + + + ]), + + + + + + + + ////////////////////////////////////////// + + + + + + + + g.panel.row.new("Uperf") + + + g.panel.row.withCollapsed(value=true) + + + g.panel.row.gridPos.withH(1) + + g.panel.row.gridPos.withW(24) + + g.panel.row.gridPos.withX(0) + + g.panel.row.gridPos.withY(13) + + + g.panel.row.withId(138) + + g.panel.row.withPanels([ + + g.panel.stateTimeline.new('Uperf Latency (usecs)') + + stateTimeline.queryOptions.withDatasource('Elasticsearch-uperf-results') + + + g.panel.stateTimeline.withDescription('Lower is better') + + + stateTimeline.standardOptions.color.withMode('thresholds') + + stateTimeline.fieldConfig.defaults.custom.withFillOpacity(70) + + stateTimeline.fieldConfig.defaults.custom.withLineWidth(0) + + + stateTimeline.fieldConfig.defaults.withDecimals(1) + + stateTimeline.fieldConfig.defaults.withMappings([]) + + stateTimeline.standardOptions.withMax(-1) + + stateTimeline.fieldConfig.defaults.thresholds.withMode('percentage') + + stateTimeline.fieldConfig.defaults.thresholds.withSteps([ + stateTimeline.thresholdStep.withColor('dark-blue'), + + stateTimeline.thresholdStep.withColor('dark-green') + + stateTimeline.thresholdStep.withValue(1), + + stateTimeline.thresholdStep.withColor('super-light-green') + + stateTimeline.thresholdStep.withValue(10), + + stateTimeline.thresholdStep.withColor('semi-dark-orange') + + stateTimeline.thresholdStep.withValue(20), + + stateTimeline.thresholdStep.withColor('dark-red') + + stateTimeline.thresholdStep.withValue(50) + + ]) + + stateTimeline.fieldConfig.withOverrides([]) + + + stateTimeline.gridPos.withH(15) + + stateTimeline.gridPos.withW(24) + + stateTimeline.gridPos.withX(0) + + stateTimeline.gridPos.withY(52) + + + stateTimeline.withId(116) + + stateTimeline.withInterval('1d') + + + stateTimeline.panelOptions.withLinks([ + stateTimeline.link.withTargetBlank(true) + + stateTimeline.link.withTitle('artifacts link') + + stateTimeline.link.withUrl('https://grafana-perf-chmf5l4sh776bznl3b.ibm.rhperfscale.org/d/T4775LKnzzmichey/perfci-regression-summary?orgId=1&viewPanel=129') + + ]) + + + stateTimeline.options.withAlignValue('center') + + stateTimeline.options.legend.withDisplayMode('list') + + stateTimeline.options.legend.withPlacement('bottom') + + stateTimeline.options.withMergeValues(value = false) + + stateTimeline.options.withRowHeight(value = 0.9) + + stateTimeline.options.withShowValue('always') + + stateTimeline.options.tooltip.withMode('single') + + + g.panel.stateTimeline.withTargets([ + elasticsearch.withAlias('msg size: {{term read_message_size}} :{{term num_threads}}th: {{term kind.keyword}}') + + + elasticsearch.withBucketAggs([ + elasticsearch.bucketAggs.Terms.withField('read_message_size') + + elasticsearch.bucketAggs.Terms.withId('4') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('asc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + + elasticsearch.bucketAggs.Terms.withField('num_threads') + + elasticsearch.bucketAggs.Terms.withId('5') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('asc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + + elasticsearch.bucketAggs.Terms.withField('kind.keyword') + + elasticsearch.bucketAggs.Terms.withId('6') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('2') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + + + + ]) + + + stateTimeline.datasource.withType('elasticsearch') + + stateTimeline.datasource.withUid('cd4b9568-576c-4528-b200-89b91a098410') + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Average.withField('norm_ltcy') + + elasticsearch.metrics.MetricAggregationWithSettings.Average.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.Average.withSettings({}) + + elasticsearch.metrics.MetricAggregationWithSettings.Average.withType('avg') + + + ]) + + +elasticsearch.withQuery('_exists_:norm_ltcy AND read_message_size:(64 OR 1024 OR 8192) AND num_threads:(1) AND test_type:rr AND norm_ltcy:<1000 AND kind:$kind AND ocp_version:$ocp_version') + +elasticsearch.withRefId('A') + +elasticsearch.withTimeField('timestamp'), + + //// + + + elasticsearch.withAlias('msg size: {{term read_message_size}} :{{term num_threads}}th: {{term kind.keyword}}') + + + elasticsearch.withBucketAggs([ + elasticsearch.bucketAggs.Terms.withField('read_message_size') + + elasticsearch.bucketAggs.Terms.withId('3') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('asc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + + elasticsearch.bucketAggs.Terms.withField('num_threads') + + elasticsearch.bucketAggs.Terms.withId('4') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('asc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + + elasticsearch.bucketAggs.Terms.withField('kind.keyword') + + elasticsearch.bucketAggs.Terms.withId('5') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('2') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + stateTimeline.datasource.withType('elasticsearch') + + stateTimeline.datasource.withUid('cd4b9568-576c-4528-b200-89b91a098410') + + + elasticsearch.withHide(false) + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Average.withField('norm_ltcy') + + elasticsearch.metrics.MetricAggregationWithSettings.Average.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.Average.settings.withScript('_value*8') + + elasticsearch.metrics.MetricAggregationWithSettings.Average.withType('avg') + + + ]) + + +elasticsearch.withQuery('_exists_:norm_ltcy AND read_message_size:(64 OR 1024 OR 8192) AND num_threads:(8) AND test_type:rr AND norm_ltcy:<1000 AND kind:$kind AND ocp_version:$ocp_version') + +elasticsearch.withRefId('B') + +elasticsearch.withTimeField('timestamp') + + + + ]), + + g.panel.stateTimeline.new('Uperf Throughput (Gbits/s)') + + stateTimeline.queryOptions.withDatasource('Elasticsearch-uperf-results') + + + stateTimeline.standardOptions.color.withMode('thresholds') + + stateTimeline.fieldConfig.defaults.custom.withFillOpacity(70) + + stateTimeline.fieldConfig.defaults.custom.withLineWidth(0) + + + stateTimeline.fieldConfig.defaults.withDecimals(1) + + stateTimeline.fieldConfig.defaults.withMappings([]) + + stateTimeline.standardOptions.withMin(0) + + stateTimeline.fieldConfig.defaults.thresholds.withMode('percentage') + + stateTimeline.fieldConfig.defaults.thresholds.withSteps([ + stateTimeline.thresholdStep.withColor('semi-dark-red'), + + stateTimeline.thresholdStep.withColor('semi-dark-orange') + + stateTimeline.thresholdStep.withValue(50), + + stateTimeline.thresholdStep.withColor('super-light-green') + + stateTimeline.thresholdStep.withValue(80), + + stateTimeline.thresholdStep.withColor('dark-green') + + stateTimeline.thresholdStep.withValue(90), + + stateTimeline.thresholdStep.withColor('dark-blue') + + stateTimeline.thresholdStep.withValue(100) + + ]) + + stateTimeline.fieldConfig.withOverrides([]) + + + stateTimeline.gridPos.withH(15) + + stateTimeline.gridPos.withW(24) + + stateTimeline.gridPos.withX(0) + + stateTimeline.gridPos.withY(67) + + + stateTimeline.withId(115) + + stateTimeline.withInterval('1d') + + + stateTimeline.panelOptions.withLinks([ + stateTimeline.link.withTitle('artifacts link') + + stateTimeline.link.withUrl('https://grafana-perf-chmf5l4sh776bznl3b.ibm.rhperfscale.org/d/T4775LKnzzmichey/regression-summary?orgId=1&viewPanel=129') + + ]) + + + stateTimeline.options.withAlignValue('center') + + stateTimeline.options.legend.withDisplayMode('list') + + stateTimeline.options.legend.withPlacement('bottom') + + stateTimeline.options.withMergeValues(value = false) + + stateTimeline.options.withRowHeight(value = 0.9) + + stateTimeline.options.withShowValue('always') + + stateTimeline.options.tooltip.withMode('single') + + + g.panel.stateTimeline.withTargets([ + elasticsearch.withAlias('msg size: {{term read_message_size}} :{{term num_threads}}th: {{term kind.keyword}}') + + + elasticsearch.withBucketAggs([ + elasticsearch.bucketAggs.Terms.withField('read_message_size') + + elasticsearch.bucketAggs.Terms.withId('4') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('asc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + + elasticsearch.bucketAggs.Terms.withField('num_threads') + + elasticsearch.bucketAggs.Terms.withId('5') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('asc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + + elasticsearch.bucketAggs.Terms.withField('kind.keyword') + + elasticsearch.bucketAggs.Terms.withId('6') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('2') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + + + + ]) + + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Average.withField('norm_byte') + + elasticsearch.metrics.MetricAggregationWithSettings.Average.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.Average.settings.withScript('_value*8/1000000000') + + elasticsearch.metrics.MetricAggregationWithSettings.Average.withType('avg') + + + ]) + + +elasticsearch.withQuery('_exists_:norm_ops AND read_message_size:(64 OR 1024 OR 8192) AND num_threads:(1 OR 8) AND test_type:stream AND kind:$kind AND ocp_version:$ocp_version') + +elasticsearch.withRefId('A') + +elasticsearch.withTimeField('timestamp') + + ]) + + + ]), + + + + + + + + ////////////////////////////////////////// + + + + + + + g.panel.row.new("Vdbench") + + g.panel.row.withCollapsed(value=true) + + + g.panel.row.gridPos.withH(1) + + g.panel.row.gridPos.withW(24) + + g.panel.row.gridPos.withX(0) + + g.panel.row.gridPos.withY(14) + + + g.panel.row.withId(142) + + g.panel.row.withPanels([ + + g.panel.stateTimeline.new('vdbench (IOPS)') + + stateTimeline.queryOptions.withDatasource('Elasticsearch-vdbench-results') + + + stateTimeline.standardOptions.color.withMode('thresholds') + + stateTimeline.fieldConfig.defaults.custom.withFillOpacity(70) + + stateTimeline.fieldConfig.defaults.custom.withLineWidth(0) + + + stateTimeline.fieldConfig.defaults.withMappings([]) + + stateTimeline.standardOptions.withMin(0) + + stateTimeline.fieldConfig.defaults.thresholds.withMode('percentage') + + stateTimeline.fieldConfig.defaults.thresholds.withSteps([ + stateTimeline.thresholdStep.withColor('dark-red'), + + stateTimeline.thresholdStep.withColor('semi-dark-orange') + + stateTimeline.thresholdStep.withValue(50), + + stateTimeline.thresholdStep.withColor('light-green') + + stateTimeline.thresholdStep.withValue(80), + + stateTimeline.thresholdStep.withColor('dark-green') + + stateTimeline.thresholdStep.withValue(90), + + stateTimeline.thresholdStep.withColor('dark-blue') + + stateTimeline.thresholdStep.withValue(100) + + ]) + + stateTimeline.fieldConfig.withOverrides([]) + + + stateTimeline.gridPos.withH(48) + + stateTimeline.gridPos.withW(24) + + stateTimeline.gridPos.withX(0) + + stateTimeline.gridPos.withY(83) + + + stateTimeline.withId(132) + + stateTimeline.withInterval('1d') + + + stateTimeline.panelOptions.withLinks([ + stateTimeline.link.withTargetBlank(true) + + stateTimeline.link.withTitle('artifacts link') + + stateTimeline.link.withUrl('https://grafana-perf-chmf5l4sh776bznl3b.ibm.rhperfscale.org/d/T4775LKnzzmichey/perfci-regression-summary?orgId=1&from=now-45d&to=now&viewPanel=133'), + + stateTimeline.link.withTitle('scale log link') + + stateTimeline.link.withUrl('https://grafana-perf-chmf5l4sh776bznl3b.ibm.rhperfscale.org/d/T4775LKnzzmichey/perfci-regression-summary?orgId=1&from=now-45d&to=now&viewPanel=195') + + ]) + + + stateTimeline.options.withAlignValue('center') + + stateTimeline.options.legend.withDisplayMode('list') + + stateTimeline.options.legend.withPlacement('bottom') + + stateTimeline.options.withMergeValues(value = false) + + stateTimeline.options.withRowHeight(value = 0.9) + + stateTimeline.options.withShowValue('always') + + stateTimeline.options.tooltip.withMode('single') + + + g.panel.stateTimeline.withTargets([ + elasticsearch.withAlias('{{term Run.keyword}} : {{term Threads}}th : 1 {{term kind.keyword}}') + + + elasticsearch.withBucketAggs([ + elasticsearch.bucketAggs.Terms.withField('Run.keyword') + + elasticsearch.bucketAggs.Terms.withId('2') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + + elasticsearch.bucketAggs.Terms.withField('kind.keyword') + + elasticsearch.bucketAggs.Terms.withId('3') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.Terms.withField('Threads') + + elasticsearch.bucketAggs.Terms.withId('4') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('5') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + + + + ]) + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Average.withField('Rate') + + elasticsearch.metrics.MetricAggregationWithSettings.Average.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.Average.withType('avg') + + ]) + + +elasticsearch.withQuery("!SCALE AND !Run.keyword='fillup' AND kind:$kind AND Run:$vdbench_type AND ocp_version:$ocp_version") + +elasticsearch.withRefId('A') + +elasticsearch.withTimeField('timestamp'), + + //// + + + elasticsearch.withAlias('Total {{term kind.keyword}} Memory (GB) [384GB]') + + + elasticsearch.withBucketAggs([ + elasticsearch.bucketAggs.Terms.withField('kind.keyword') + + elasticsearch.bucketAggs.Terms.withId('6') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('5') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + + elasticsearch.withHide(false) + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('total_Memory') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.settings.withScript('_value/1000000000') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + + ]) + + +elasticsearch.withQuery("!SCALE AND !Run.keyword='fillup' AND kind:$kind AND Run:$vdbench_type AND ocp_version:$ocp_version") + +elasticsearch.withRefId('B') + +elasticsearch.withTimeField('timestamp'), + + //// + + elasticsearch.withAlias('Total {{term kind.keyword}} %CPU [240 cores]') + + + elasticsearch.withBucketAggs([ + + elasticsearch.bucketAggs.Terms.withField('kind.keyword') + + elasticsearch.bucketAggs.Terms.withId('6') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('5') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + + elasticsearch.withHide(false) + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('total_CPU') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + +elasticsearch.withQuery("!SCALE AND !Run.keyword='fillup' AND kind:$kind AND Run:$vdbench_type AND ocp_version:$ocp_version") + +elasticsearch.withRefId('C') + +elasticsearch.withTimeField('timestamp'), + + //// + + + elasticsearch.withAlias('{{term Run.keyword}} : {{term Threads}}th :{{term scale}} {{term kind.keyword}}s') + + + elasticsearch.withBucketAggs([ + elasticsearch.bucketAggs.Terms.withField('Run.keyword') + + elasticsearch.bucketAggs.Terms.withId('2') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.Terms.withField('kind.keyword') + + elasticsearch.bucketAggs.Terms.withId('3') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.Terms.withField('Threads') + + elasticsearch.bucketAggs.Terms.withId('4') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.Terms.withField('scale') + + elasticsearch.bucketAggs.Terms.withId('6') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('5') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + + elasticsearch.withHide(false) + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Average.withField('Rate') + + elasticsearch.metrics.MetricAggregationWithSettings.Average.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.Average.withType('avg') + + + ]) + + +elasticsearch.withQuery("!SCALE AND !Run.keyword='fillup' AND kind:$kind AND Run:$vdbench_type AND ocp_version:$ocp_version") + +elasticsearch.withRefId('D') + +elasticsearch.withTimeField('timestamp'), + + + //// + + elasticsearch.withAlias('Total {{term kind.keyword}} Memory (GB) [384GB]') + + + elasticsearch.withBucketAggs([ + + elasticsearch.bucketAggs.Terms.withField('kind.keyword') + + elasticsearch.bucketAggs.Terms.withId('2') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('5') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + + elasticsearch.withHide(false) + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('total_Memory') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.settings.withScript('_value/1000000000') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + + ]) + + +elasticsearch.withQuery("!SCALE AND !Run.keyword='fillup' AND kind:$kind AND Run:$vdbench_type AND ocp_version:$ocp_version") + +elasticsearch.withRefId('E') + +elasticsearch.withTimeField('timestamp'), + + //// + + elasticsearch.withAlias('Total {{term kind.keyword}} %CPU [240 cores]') + + + elasticsearch.withBucketAggs([ + + elasticsearch.bucketAggs.Terms.withField('kind.keyword') + + elasticsearch.bucketAggs.Terms.withId('2') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('5') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + + elasticsearch.withHide(false) + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('total_CPU') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withSettings({}) + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + + ]) + + +elasticsearch.withQuery("!SCALE AND !Run.keyword='fillup' AND kind:$kind AND Run:$vdbench_type AND ocp_version:$ocp_version") + +elasticsearch.withRefId('F') + +elasticsearch.withTimeField('timestamp'), + + + + + ]), + + //// + + g.panel.stateTimeline.new('vdbench Latency (sec)') + + stateTimeline.queryOptions.withDatasource('Elasticsearch-vdbench-results') + + + + g.panel.stateTimeline.withDescription('Lower is better') + + + stateTimeline.standardOptions.color.withMode('thresholds') + + stateTimeline.fieldConfig.defaults.custom.withFillOpacity(70) + + stateTimeline.fieldConfig.defaults.custom.withLineWidth(0) + + + stateTimeline.fieldConfig.defaults.withDecimals(1) + + stateTimeline.fieldConfig.defaults.withMappings([]) + + stateTimeline.standardOptions.withMax(-1) + + stateTimeline.fieldConfig.defaults.thresholds.withMode('percentage') + + stateTimeline.fieldConfig.defaults.thresholds.withSteps([ + stateTimeline.thresholdStep.withColor('dark-blue'), + + stateTimeline.thresholdStep.withColor('dark-green') + + stateTimeline.thresholdStep.withValue(1), + + stateTimeline.thresholdStep.withColor('super-light-green') + + stateTimeline.thresholdStep.withValue(10), + + stateTimeline.thresholdStep.withColor('semi-dark-orange') + + stateTimeline.thresholdStep.withValue(20), + + stateTimeline.thresholdStep.withColor('dark-red') + + stateTimeline.thresholdStep.withValue(50) + + ]) + + stateTimeline.fieldConfig.withOverrides([]) + + + stateTimeline.gridPos.withH(50) + + stateTimeline.gridPos.withW(24) + + stateTimeline.gridPos.withX(0) + + stateTimeline.gridPos.withY(131) + + + stateTimeline.withId(134) + + stateTimeline.withInterval('1d') + + + stateTimeline.panelOptions.withLinks([ + stateTimeline.link.withTargetBlank(true) + + stateTimeline.link.withTitle('artifacts link') + + stateTimeline.link.withUrl('https://grafana-perf-chmf5l4sh776bznl3b.ibm.rhperfscale.org/d/T4775LKnzzmichey/perfci-regression-summary?orgId=1&editPanel=133&from=now-45d&to=now') + + ]) + + + stateTimeline.options.withAlignValue('center') + + stateTimeline.options.legend.withDisplayMode('list') + + stateTimeline.options.legend.withPlacement('bottom') + + stateTimeline.options.withMergeValues(value = false) + + stateTimeline.options.withRowHeight(value = 0.9) + + stateTimeline.options.withShowValue('always') + + stateTimeline.options.tooltip.withMode('single') + + + g.panel.stateTimeline.withTargets([ + elasticsearch.withAlias('{{term Run.keyword}} : {{term Threads}}th : 1 {{term kind.keyword}}') + + elasticsearch.withBucketAggs([ + elasticsearch.bucketAggs.Terms.withField('Run.keyword') + + elasticsearch.bucketAggs.Terms.withId('2') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.Terms.withField('kind.keyword') + + elasticsearch.bucketAggs.Terms.withId('3') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.Terms.withField('Threads') + + elasticsearch.bucketAggs.Terms.withId('4') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('5') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + + + + ]) + + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Average.withField('Resp') + + elasticsearch.metrics.MetricAggregationWithSettings.Average.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.Average.withType('avg') + + + ]) + + +elasticsearch.withQuery("!SCALE AND !Run.keyword='fillup' AND kind:$kind AND Run:$vdbench_type AND ocp_version:$ocp_version") + +elasticsearch.withRefId('A') + +elasticsearch.withTimeField('timestamp'), + + //// + + + elasticsearch.withAlias('"Total {{term kind.keyword}} Memory (GB) [384GB]') + + elasticsearch.withBucketAggs([ + + elasticsearch.bucketAggs.Terms.withField('kind.keyword') + + elasticsearch.bucketAggs.Terms.withId('3') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('5') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + ]) + + + elasticsearch.withHide(false) + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('total_Memory') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.settings.withScript('_value/1000000000') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + + ]) + + +elasticsearch.withQuery("!SCALE AND !Run.keyword='fillup' AND kind:$kind AND Run:$vdbench_type AND ocp_version:$ocp_version") + +elasticsearch.withRefId('B') + +elasticsearch.withTimeField('timestamp'), + + //// + + + + elasticsearch.withAlias('Total {{term kind.keyword}} %CPU [240 cores]') + + elasticsearch.withBucketAggs([ + + elasticsearch.bucketAggs.Terms.withField('kind.keyword') + + elasticsearch.bucketAggs.Terms.withId('3') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('5') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + ]) + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('total_CPU') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withSettings({}) + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + +elasticsearch.withQuery("!SCALE AND !Run.keyword='fillup' AND kind:$kind AND Run:$vdbench_type AND ocp_version:$ocp_version") + +elasticsearch.withRefId('D') + +elasticsearch.withTimeField('timestamp'), + + //// + + + elasticsearch.withAlias('{{term Run.keyword}} : {{term Threads}}th :{{term scale}} {{term kind.keyword}}s') + + elasticsearch.withBucketAggs([ + elasticsearch.bucketAggs.Terms.withField('Run.keyword') + + elasticsearch.bucketAggs.Terms.withId('2') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.Terms.withField('kind.keyword') + + elasticsearch.bucketAggs.Terms.withId('3') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.Terms.withField('Threads') + + elasticsearch.bucketAggs.Terms.withId('4') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.Terms.withField('scale') + + elasticsearch.bucketAggs.Terms.withId('6') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('5') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + ]) + + + elasticsearch.withHide(false) + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Average.withField('Resp') + + elasticsearch.metrics.MetricAggregationWithSettings.Average.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.Average.withType('avg') + + + ]) + + +elasticsearch.withQuery("SCALE AND !Run.keyword='fillup' AND kind:$kind AND Run:$vdbench_type AND ocp_version:$ocp_version") + +elasticsearch.withRefId('C') + +elasticsearch.withTimeField('timestamp'), + + //// + + + elasticsearch.withAlias('Total {{term kind.keyword}} Memory (GB) [384GB]') + + elasticsearch.withBucketAggs([ + + elasticsearch.bucketAggs.Terms.withField('kind.keyword') + + elasticsearch.bucketAggs.Terms.withId('3') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('5') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + ]) + + + elasticsearch.withHide(false) + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('total_Memory') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.settings.withScript('_value/1000000000') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + +elasticsearch.withQuery("SCALE AND !Run.keyword='fillup' AND kind:$kind AND Run:$vdbench_type AND ocp_version:$ocp_version") + +elasticsearch.withRefId('E') + +elasticsearch.withTimeField('timestamp'), + + //// + + elasticsearch.withAlias('Total {{term kind.keyword}} %CPU [240 cores]') + + elasticsearch.withBucketAggs([ + + elasticsearch.bucketAggs.Terms.withField('kind.keyword') + + elasticsearch.bucketAggs.Terms.withId('3') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('5') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + ]) + + + elasticsearch.withHide(false) + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('total_CPU') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withSettings({}) + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + +elasticsearch.withQuery("SCALE AND !Run.keyword='fillup' AND kind:$kind AND Run:$vdbench_type AND ocp_version:$ocp_version") + +elasticsearch.withRefId('F') + +elasticsearch.withTimeField('timestamp') + + //// + + + + ]) + + + + ]), + + ////////////////////////////// + + g.panel.row.new("Clusterbuster - Cpusoaker") + + g.panel.row.withCollapsed(value=true) + + + g.panel.row.gridPos.withH(1) + + g.panel.row.gridPos.withW(24) + + g.panel.row.gridPos.withX(0) + + g.panel.row.gridPos.withY(15) + + + g.panel.row.withId(180) + + + g.panel.row.withPanels([ + g.panel.stateTimeline.new('Cpusoaker') + + stateTimeline.queryOptions.withDatasource('Elasticsearch-clusterbuster-cpusoaker-results') + + g.panel.stateTimeline.withDescription('Higher is better') + + + stateTimeline.standardOptions.color.withMode('thresholds') + + stateTimeline.fieldConfig.defaults.custom.withFillOpacity(70) + + stateTimeline.fieldConfig.defaults.custom.withLineWidth(0) + + + stateTimeline.fieldConfig.defaults.withMappings([]) + + stateTimeline.standardOptions.withMin(0) + + stateTimeline.fieldConfig.defaults.thresholds.withMode('percentage') + + stateTimeline.fieldConfig.defaults.thresholds.withSteps([ + stateTimeline.thresholdStep.withColor('red'), + + stateTimeline.thresholdStep.withColor('semi-dark-orange') + + stateTimeline.thresholdStep.withValue(50), + + stateTimeline.thresholdStep.withColor('super-light-green') + + stateTimeline.thresholdStep.withValue(80), + + stateTimeline.thresholdStep.withColor('dark-green') + + stateTimeline.thresholdStep.withValue(90), + + stateTimeline.thresholdStep.withColor('dark-blue') + + stateTimeline.thresholdStep.withValue(100) + + ]) + + stateTimeline.fieldConfig.withOverrides([]) + + + stateTimeline.gridPos.withH(10) + + stateTimeline.gridPos.withW(24) + + stateTimeline.gridPos.withX(0) + + stateTimeline.gridPos.withY(182) + + + stateTimeline.withId(192) + + stateTimeline.withInterval('1d') + + + stateTimeline.panelOptions.withLinks([ + stateTimeline.link.withTitle('artifacts link') + + stateTimeline.link.withUrl('https://grafana-perf-chmf5l4sh776bznl3b.ibm.rhperfscale.org/d/T4775LKnzzmichey/regression-summary?orgId=1&from=now-45d&to=now&viewPanel=150') + + ]) + + + stateTimeline.options.withAlignValue('left') + + stateTimeline.options.legend.withDisplayMode('list') + + stateTimeline.options.legend.withPlacement('bottom') + + stateTimeline.options.withMergeValues(value = false) + + stateTimeline.options.withRowHeight(value = 0.7) + + stateTimeline.options.withShowValue('auto') + + stateTimeline.options.tooltip.withMode('single') + + + g.panel.stateTimeline.withTargets([ + elasticsearch.withAlias('Max {{term test_description.runtime.keyword}}') + + + elasticsearch.withBucketAggs([ + + elasticsearch.bucketAggs.Terms.withField('test_description.runtime.keyword') + + elasticsearch.bucketAggs.Terms.withId('8') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('7') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + elasticsearch.withHide(false) + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('test_description.pods') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('6') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + +elasticsearch.withQuery("") + +elasticsearch.withRefId('A') + +elasticsearch.withTimeField('timestamp'), + + + ////// + + + elasticsearch.withAlias('CPU Iterations/sec {{term test_description.runtime.keyword}}') + + + elasticsearch.withBucketAggs([ + + elasticsearch.bucketAggs.Terms.withField('test_description.runtime.keyword') + + elasticsearch.bucketAggs.Terms.withId('8') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('7') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + elasticsearch.withHide(false) + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('iterations_cpu_sec') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('6') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.settings.withScript('_value/1000000') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + +elasticsearch.withQuery("") + +elasticsearch.withRefId('B') + +elasticsearch.withTimeField('timestamp') + + ]) + + stateTimeline.withTransformations([ + stateTimeline.transformation.withId('calculateField') + + stateTimeline.transformation.withOptions({ + "alias": "Diff Max ( runc - kata)", + "binary": { + "left": "Max runc", + "operator": "-", + "reducer": "sum", + "right": "Max kata" + }, + "mode": "reduceRow", + "reduce": { + "include": [ + "Max kata", + "Max runc" + ], + "reducer": "range" + } + }), + stateTimeline.transformation.withId('calculateField') + + stateTimeline.transformation.withOptions({ + "alias": "Diff CPU( kata / runc)", + "binary": { + "left": "CPU Iterations/sec kata", + "operator": "/", + "reducer": "sum", + "right": "CPU Iterations/sec runc" + }, + "mode": "binary", + "reduce": { + "include": [ + "CPU Iterations/sec runc", + "CPU Iterations/sec kata" + ], + "reducer": "diff" + } + }), + stateTimeline.transformation.withId('organize') + + stateTimeline.transformation.withOptions({ + "excludeByName": { + "CPU Iterations/sec clusterbuster-ci": true, + "Diff Max ( runc - kata)": true, + "Max clusterbuster-ci": true + }, + "indexByName": { + "CPU Iterations/sec clusterbuster-ci": 5, + "CPU Iterations/sec kata": 3, + "CPU Iterations/sec runc": 2, + "Diff CPU( kata / runc)": 6, + "Diff Max ( runc - kata)": 1, + "Max clusterbuster-ci": 4, + "Max kata": 8, + "Max runc": 7, + "Time": 0 + }, + "renameByName": {} + }), + stateTimeline.transformation.withId('convertFieldType') + + stateTimeline.transformation.withOptions({ + "conversions": [ + { + "destinationType": "number", + "targetField": "Ratio Last( kata/ runc)" + }, + { + "destinationType": "number", + "targetField": "Diff CPU( kata / runc)" + } + ], + "fields": {} + }), + + + + + + + + ]), + + + //////////////////////////////// + + g.panel.stateTimeline.new('') + + stateTimeline.queryOptions.withDatasource('Elasticsearch-clusterbuster-cpusoaker-results') + + g.panel.stateTimeline.withDescription('Lower is better') + + + stateTimeline.standardOptions.color.withMode('thresholds') + + stateTimeline.fieldConfig.defaults.custom.withFillOpacity(70) + + stateTimeline.fieldConfig.defaults.custom.withLineWidth(0) + + + stateTimeline.fieldConfig.defaults.withDecimals(1) + + stateTimeline.fieldConfig.defaults.withMappings([]) + + stateTimeline.standardOptions.withMax(-1) + + stateTimeline.fieldConfig.defaults.thresholds.withMode('percentage') + + stateTimeline.fieldConfig.defaults.thresholds.withSteps([ + stateTimeline.thresholdStep.withColor('dark-blue'), + + stateTimeline.thresholdStep.withColor('dark-green') + + stateTimeline.thresholdStep.withValue(1), + + stateTimeline.thresholdStep.withColor('super-light-green') + + stateTimeline.thresholdStep.withValue(10), + + stateTimeline.thresholdStep.withColor('semi-dark-orange') + + stateTimeline.thresholdStep.withValue(20), + + stateTimeline.thresholdStep.withColor('dark-red') + + stateTimeline.thresholdStep.withValue(50) + + ]) + + stateTimeline.fieldConfig.withOverrides([]) + + + stateTimeline.gridPos.withH(3) + + stateTimeline.gridPos.withW(24) + + stateTimeline.gridPos.withX(0) + + stateTimeline.gridPos.withY(192) + + + stateTimeline.withId(191) + + stateTimeline.withInterval('1d') + + + stateTimeline.panelOptions.withLinks([ + stateTimeline.link.withTitle('artifacts link') + + stateTimeline.link.withUrl('https://grafana-perf-chmf5l4sh776bznl3b.ibm.rhperfscale.org/d/T4775LKnzzmichey/regression-summary?orgId=1&from=now-45d&to=now&viewPanel=150') + + ]) + + + stateTimeline.options.withAlignValue('left') + + stateTimeline.options.legend.withDisplayMode('list') + + stateTimeline.options.legend.withPlacement('bottom') + + stateTimeline.options.withMergeValues(value = false) + + stateTimeline.options.withRowHeight(value = 0.7) + + stateTimeline.options.withShowValue('auto') + + stateTimeline.options.tooltip.withMode('single') + + + g.panel.stateTimeline.withTargets([ + elasticsearch.withAlias('Max {{term test_description.runtime.keyword}}') + + + elasticsearch.withBucketAggs([ + + elasticsearch.bucketAggs.Terms.withField('test_description.runtime.keyword') + + elasticsearch.bucketAggs.Terms.withId('8') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('7') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('test_description.pods') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('6') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + +elasticsearch.withQuery("") + +elasticsearch.withRefId('A') + +elasticsearch.withTimeField('timestamp'), + + + ////// + + ]) + + stateTimeline.withTransformations([ + stateTimeline.transformation.withId('calculateField') + + stateTimeline.transformation.withOptions({ + "alias": "Diff Max ( runc - kata)", + "binary": { + "left": "Max runc", + "operator": "-", + "reducer": "sum", + "right": "Max kata" + }, + "mode": "reduceRow", + "reduce": { + "include": [ + "Max kata", + "Max runc" + ], + "reducer": "range" + } + }), + stateTimeline.transformation.withId('calculateField') + + stateTimeline.transformation.withOptions({ + "alias": "Diff CPU( kata / runc)", + "binary": { + "left": "CPU Iterations/sec kata", + "operator": "/", + "reducer": "sum", + "right": "CPU Iterations/sec runc" + }, + "mode": "binary", + "reduce": { + "include": [ + "CPU Iterations/sec runc", + "CPU Iterations/sec kata" + ], + "reducer": "diff" + } + }), + stateTimeline.transformation.withId('organize') + + stateTimeline.transformation.withOptions({ + "excludeByName": { + "CPU Iterations/sec clusterbuster-ci": true, + "Diff Max ( runc - kata)": false, + "Max clusterbuster-ci": true, + "Max kata": true, + "Max runc": true, + "Time": false + }, + "indexByName": { + "CPU Iterations/sec kata": 14, + "CPU Iterations/sec runc": 13, + "Diff CPU( kata - runc)": 15, + "Diff First( kata - runc)": 6, + "Diff Max ( runc - kata)": 3, + "Diff Memory( kata - runc)": 12, + "First start (sec) kata": 5, + "First start (sec) runc": 4, + "Last start (sec) kata": 8, + "Last start (sec) runc": 7, + "Max kata": 2, + "Max runc": 1, + "Memory (GB) kata": 11, + "Memory (GB) runc": 10, + "Ratio Last( kata/ runc)": 9, + "Time": 0 + }, + "renameByName": {} + }), + stateTimeline.transformation.withId('convertFieldType') + + stateTimeline.transformation.withOptions({ + "conversions": [ + { + "destinationType": "number", + "targetField": "Ratio Last( kata/ runc)" + }, + { + "destinationType": "number", + "targetField": "Diff CPU( kata / runc)" + } + ], + "fields": {} + }), + + + + + + + + ]), + + //////////////////////////////// + + g.panel.stateTimeline.new('') + + stateTimeline.queryOptions.withDatasource('Elasticsearch-clusterbuster-cpusoaker-results') + + g.panel.stateTimeline.withDescription('Lower is better') + + + stateTimeline.standardOptions.color.withMode('thresholds') + + stateTimeline.fieldConfig.defaults.custom.withFillOpacity(70) + + stateTimeline.fieldConfig.defaults.custom.withLineWidth(0) + + + stateTimeline.fieldConfig.defaults.withMappings([]) + + stateTimeline.standardOptions.withMax(-1) + + stateTimeline.fieldConfig.defaults.thresholds.withMode('percentage') + + stateTimeline.fieldConfig.defaults.thresholds.withSteps([ + stateTimeline.thresholdStep.withColor('dark-blue'), + + stateTimeline.thresholdStep.withColor('dark-green') + + stateTimeline.thresholdStep.withValue(1), + + stateTimeline.thresholdStep.withColor('super-light-green') + + stateTimeline.thresholdStep.withValue(10), + + stateTimeline.thresholdStep.withColor('light-red') + + stateTimeline.thresholdStep.withValue(20), + + stateTimeline.thresholdStep.withColor('dark-red') + + stateTimeline.thresholdStep.withValue(50) + + ]) + + stateTimeline.fieldConfig.withOverrides([]) + + + stateTimeline.gridPos.withH(10) + + stateTimeline.gridPos.withW(24) + + stateTimeline.gridPos.withX(0) + + stateTimeline.gridPos.withY(195) + + + stateTimeline.withId(185) + + stateTimeline.withInterval('1d') + + + stateTimeline.panelOptions.withLinks([ + stateTimeline.link.withTitle('artifacts link') + + stateTimeline.link.withUrl('https://grafana-perf-chmf5l4sh776bznl3b.ibm.rhperfscale.org/d/T4775LKnzzmichey/regression-summary?orgId=1&from=now-45d&to=now&viewPanel=150') + + ]) + + + stateTimeline.options.withAlignValue('left') + + stateTimeline.options.legend.withDisplayMode('list') + + stateTimeline.options.legend.withPlacement('bottom') + + stateTimeline.options.withMergeValues(value = false) + + stateTimeline.options.withRowHeight(value = 0.9) + + stateTimeline.options.withShowValue('auto') + + stateTimeline.options.tooltip.withMode('single') + + + g.panel.stateTimeline.withTargets([ + elasticsearch.withAlias('First start (sec) {{term test_description.runtime.keyword}}') + + + elasticsearch.withBucketAggs([ + + elasticsearch.bucketAggs.Terms.withField('test_description.runtime.keyword') + + elasticsearch.bucketAggs.Terms.withId('8') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('7') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('first_pod_start') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('6') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + +elasticsearch.withQuery("") + +elasticsearch.withRefId('A') + +elasticsearch.withTimeField('timestamp'), + + + //////// + + elasticsearch.withAlias('Last start (sec) {{term test_description.runtime.keyword}}') + + + elasticsearch.withBucketAggs([ + + elasticsearch.bucketAggs.Terms.withField('test_description.runtime.keyword') + + elasticsearch.bucketAggs.Terms.withId('8') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('7') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('last_pod_start') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('6') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + +elasticsearch.withQuery("") + +elasticsearch.withRefId('B') + +elasticsearch.withTimeField('timestamp'), + + + /////// + + elasticsearch.withAlias('Memory (MB) {{term test_description.runtime.keyword}}') + + + elasticsearch.withBucketAggs([ + + elasticsearch.bucketAggs.Terms.withField('test_description.runtime.keyword') + + elasticsearch.bucketAggs.Terms.withId('8') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('7') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('memory_per_pod') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('6') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.settings.withScript('_value/1000000') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + +elasticsearch.withQuery("") + +elasticsearch.withRefId('C') + +elasticsearch.withTimeField('timestamp'), + + + + + + ////// + + ]) + + stateTimeline.withTransformations([ + stateTimeline.transformation.withId('calculateField') + + stateTimeline.transformation.withOptions({ + "alias": "Diff First( kata - runc)", + "mode": "reduceRow", + "reduce": { + "include": [ + "First start (sec) runc", + "First start (sec) kata" + ], + "reducer": "diff" + }, + "replaceFields": false + }), + stateTimeline.transformation.withId('calculateField') + + stateTimeline.transformation.withOptions({ + "alias": "Ratio Last( kata/ runc)", + "binary": { + "left": "Last start (sec) kata", + "operator": "/", + "reducer": "sum", + "right": "Last start (sec) runc" + }, + "mode": "binary", + "reduce": { + "include": [ + "Last start (sec) runc", + "Last start (sec) kata" + ], + "reducer": "diff" + } + }), + stateTimeline.transformation.withId('calculateField') + + stateTimeline.transformation.withOptions({ + "alias": "Diff Memory( kata - runc)", + "binary": { + "left": "Memory (GB) runc", + "operator": "-", + "reducer": "sum", + "right": "Memory (GB) kata" + }, + "mode": "reduceRow", + "reduce": { + "include": [ + "Memory (MB) runc", + "Memory (MB) kata" + ], + "reducer": "diff" + } + }), + stateTimeline.transformation.withId('organize') + + stateTimeline.transformation.withOptions({ + "excludeByName": { + "First start (sec) clusterbuster-ci": true, + "Last start (sec) clusterbuster-ci": true, + "Memory (MB) clusterbuster-ci": true + }, + "indexByName": { + "Diff First( kata - runc)": 3, + "Diff Memory( kata - runc)": 11, + "First start (sec) clusterbuster-ci": 7, + "First start (sec) kata": 2, + "First start (sec) runc": 1, + "Last start (sec) clusterbuster-ci": 8, + "Last start (sec) kata": 5, + "Last start (sec) runc": 4, + "Memory (MB) clusterbuster-ci": 12, + "Memory (MB) kata": 10, + "Memory (MB) runc": 9, + "Ratio Last( kata/ runc)": 6, + "Time": 0 + }, + "renameByName": {} + }), + stateTimeline.transformation.withId('convertFieldType') + + stateTimeline.transformation.withOptions({ + "conversions": [ + { + "destinationType": "number", + "targetField": "Ratio Last( kata/ runc)" + }, + { + "destinationType": "number", + "targetField": "Diff CPU( kata / runc)" + } + ], + "fields": {} + }), + + + + + + + + ]), + + + + + + + + + ]), + + + + + /////////////////////////////// + + g.panel.row.new("Clusterbuster - FIO") + + g.panel.row.withCollapsed(value=true) + + + g.panel.row.gridPos.withH(1) + + g.panel.row.gridPos.withW(24) + + g.panel.row.gridPos.withX(0) + + g.panel.row.gridPos.withY(16) + + + g.panel.row.withId(148) + + + g.panel.row.withPanels([ + + g.panel.stateTimeline.new('FIO (IOPS/Throughtput)') + + stateTimeline.queryOptions.withDatasource('Elasticsearch-clusterbuster-fio-results') + + g.panel.stateTimeline.withDescription('Higher is better') + + + stateTimeline.standardOptions.color.withMode('thresholds') + + stateTimeline.fieldConfig.defaults.custom.withFillOpacity(70) + + stateTimeline.fieldConfig.defaults.custom.withLineWidth(0) + + + stateTimeline.fieldConfig.defaults.withMappings([]) + + stateTimeline.standardOptions.withMin(0) + + stateTimeline.fieldConfig.defaults.thresholds.withMode('percentage') + + stateTimeline.fieldConfig.defaults.thresholds.withSteps([ + stateTimeline.thresholdStep.withColor('red'), + + stateTimeline.thresholdStep.withColor('semi-dark-orange') + + stateTimeline.thresholdStep.withValue(50), + + stateTimeline.thresholdStep.withColor('super-light-green') + + stateTimeline.thresholdStep.withValue(80), + + stateTimeline.thresholdStep.withColor('dark-green') + + stateTimeline.thresholdStep.withValue(90), + + stateTimeline.thresholdStep.withColor('dark-blue') + + stateTimeline.thresholdStep.withValue(100) + + ]) + + stateTimeline.fieldConfig.withOverrides([]) + + + stateTimeline.gridPos.withH(15) + + stateTimeline.gridPos.withW(24) + + stateTimeline.gridPos.withX(0) + + stateTimeline.gridPos.withY(183) + + + stateTimeline.withId(167) + + stateTimeline.withInterval('1d') + + + stateTimeline.panelOptions.withLinks([ + stateTimeline.link.withTitle('artifacts link') + + stateTimeline.link.withUrl('https://grafana-perf-chmf5l4sh776bznl3b.ibm.rhperfscale.org/d/T4775LKnzzmichey/regression-summary?orgId=1&from=now-45d&to=now&viewPanel=150') + + ]) + + stateTimeline.options.withAlignValue('center') + + stateTimeline.options.legend.withDisplayMode('list') + + stateTimeline.options.legend.withPlacement('bottom') + + stateTimeline.options.withMergeValues(value = false) + + stateTimeline.options.withRowHeight(value = 0.9) + + stateTimeline.options.withShowValue('always') + + stateTimeline.options.tooltip.withMode('single') + + + g.panel.stateTimeline.withTargets([ + elasticsearch.withAlias('read.iops: {{term test_description.runtime.keyword}}') + + + elasticsearch.withBucketAggs([ + + elasticsearch.bucketAggs.Terms.withField('test_description.runtime.keyword') + + elasticsearch.bucketAggs.Terms.withId('8') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('7') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('read.iops') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('6') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.settings.withScript('_value/1000') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + +elasticsearch.withQuery('') + +elasticsearch.withRefId('A') + +elasticsearch.withTimeField('timestamp'), + + + ////// + + + elasticsearch.withAlias('write.iops: {{term test_description.runtime.keyword}}') + + + elasticsearch.withBucketAggs([ + + elasticsearch.bucketAggs.Terms.withField('test_description.runtime.keyword') + + elasticsearch.bucketAggs.Terms.withId('8') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('7') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('write.iops') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('6') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.settings.withScript('_value/1000') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + +elasticsearch.withQuery('') + +elasticsearch.withRefId('B') + +elasticsearch.withTimeField('timestamp'), + + + ////// + + + elasticsearch.withAlias('total.iops: {{term test_description.runtime.keyword}}') + + + elasticsearch.withBucketAggs([ + + elasticsearch.bucketAggs.Terms.withField('test_description.runtime.keyword') + + elasticsearch.bucketAggs.Terms.withId('8') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('7') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + elasticsearch.withHide(false) + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('total.iops') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('6') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.settings.withScript('_value/1000') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + +elasticsearch.withQuery('') + +elasticsearch.withRefId('C') + +elasticsearch.withTimeField('timestamp'), + + + ////// + + elasticsearch.withAlias('read.throughput: {{term test_description.runtime.keyword}}') + + + elasticsearch.withBucketAggs([ + + elasticsearch.bucketAggs.Terms.withField('test_description.runtime.keyword') + + elasticsearch.bucketAggs.Terms.withId('8') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('7') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + elasticsearch.withHide(false) + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('read.throughput') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('6') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.settings.withScript('_value/1000000') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + +elasticsearch.withQuery('') + +elasticsearch.withRefId('D') + +elasticsearch.withTimeField('timestamp'), + + + ////// + + elasticsearch.withAlias('write.throughput: {{term test_description.runtime.keyword}}') + + + elasticsearch.withBucketAggs([ + + elasticsearch.bucketAggs.Terms.withField('test_description.runtime.keyword') + + elasticsearch.bucketAggs.Terms.withId('8') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('7') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + elasticsearch.withHide(false) + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('write.throughput') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('6') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.settings.withScript('_value/1000000') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + +elasticsearch.withQuery('') + +elasticsearch.withRefId('E') + +elasticsearch.withTimeField('timestamp'), + + + ////// + + + elasticsearch.withAlias('total.throughput: {{term test_description.runtime.keyword}}') + + + elasticsearch.withBucketAggs([ + + elasticsearch.bucketAggs.Terms.withField('test_description.runtime.keyword') + + elasticsearch.bucketAggs.Terms.withId('8') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('7') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + elasticsearch.withHide(false) + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('total.throughput') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('6') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.settings.withScript('_value/1000000') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + +elasticsearch.withQuery('') + +elasticsearch.withRefId('F') + +elasticsearch.withTimeField('timestamp') + + ]) + + + stateTimeline.withTransformations([ + stateTimeline.transformation.withId('calculateField') + + stateTimeline.transformation.withOptions({ + "alias": "read.iops kata/runc", + "binary": { + "left": "read.iops: kata", + "operator": "/", + "reducer": "sum", + "right": "read.iops: runc" + }, + "mode": "binary", + "reduce": { + "include": [ + "read.iops: runc", + "read.iops: kata" + ], + "reducer": "diffperc" + } + }), + stateTimeline.transformation.withId('calculateField') + + stateTimeline.transformation.withOptions({ + "alias": "write.iops kata/runc", + "binary": { + "left": "write.iops: kata", + "operator": "/", + "reducer": "sum", + "right": "write.iops: runc" + }, + "mode": "binary", + "reduce": { + "include": [ + "write.iops: runc", + "write.iops: kata" + ], + "reducer": "sum" + } + }), + stateTimeline.transformation.withId('calculateField') + + stateTimeline.transformation.withOptions({ + "alias": "total.iops kata/runc", + "binary": { + "left": "total.iops: kata", + "operator": "/", + "reducer": "sum", + "right": "total.iops: runc" + }, + "mode": "binary", + "reduce": { + "reducer": "sum" + } + }), + stateTimeline.transformation.withId('calculateField') + + stateTimeline.transformation.withOptions({ + "alias": "read.throughput kata/runc", + "binary": { + "left": "read.throughput: kata", + "operator": "/", + "reducer": "sum", + "right": "read.throughput: runc" + }, + "mode": "binary", + "reduce": { + "reducer": "sum" + } + }), + stateTimeline.transformation.withId('calculateField') + + stateTimeline.transformation.withOptions({ + "alias": "write.throughput kata/runc", + "binary": { + "left": "write.throughput: kata", + "operator": "/", + "reducer": "sum", + "right": "write.throughput: runc" + }, + "mode": "binary", + "reduce": { + "reducer": "sum" + } + }), + stateTimeline.transformation.withId('calculateField') + + stateTimeline.transformation.withOptions({ + "alias": "total.throughput kata/runc", + "binary": { + "left": "total.throughput: kata", + "operator": "/", + "reducer": "sum", + "right": "total.throughput: runc" + }, + "mode": "binary", + "reduce": { + "reducer": "sum" + } + }), + stateTimeline.transformation.withId('organize') + + stateTimeline.transformation.withOptions({ + "excludeByName": { + "read.iops: clusterbuster-ci": true, + "read.throughput: clusterbuster-ci": true, + "total.iops: clusterbuster-ci": true, + "total.throughput: clusterbuster-ci": true, + "write.iops: clusterbuster-ci": true, + "write.throughput: clusterbuster-ci": true + }, + "indexByName": { + "Time": 0, + "read.iops kata/runc": 3, + "read.iops: kata": 2, + "read.iops: runc": 1, + "read.throughput kata/runc": 12, + "read.throughput: kata": 11, + "read.throughput: runc": 10, + "total.iops kata/runc": 9, + "total.iops: kata": 8, + "total.iops: runc": 7, + "total.throughput kata/runc": 18, + "total.throughput: kata": 17, + "total.throughput: runc": 16, + "write.iops kata/runc": 6, + "write.iops: kata": 5, + "write.iops: runc": 4, + "write.throughput kata/runc": 15, + "write.throughput: kata": 14, + "write.throughput: runc": 13 + }, + "renameByName": {} + }), + stateTimeline.transformation.withId('convertFieldType') + + stateTimeline.transformation.withOptions({ + "conversions": [ + { + "destinationType": "number", + "targetField": "read.iops kata/runc" + }, + { + "destinationType": "number", + "targetField": "write.iops kata/runc" + }, + { + "destinationType": "number", + "targetField": "total.iops kata/runc" + }, + { + "destinationType": "number", + "targetField": "read.throughput kata/runc" + }, + { + "destinationType": "number", + "targetField": "write.throughput kata/runc" + }, + { + "destinationType": "number", + "targetField": "total.throughput kata/runc" + } + ], + "fields": {} + }), + + + + + + + + ]), + + + + + ]), + + + /////////////////////////////// + + + + g.panel.row.new("Clusterbuster - Files") + + g.panel.row.withCollapsed(value=true) + + + g.panel.row.gridPos.withH(1) + + g.panel.row.gridPos.withW(24) + + g.panel.row.gridPos.withX(0) + + g.panel.row.gridPos.withY(17) + + + g.panel.row.withId(182) + + + g.panel.row.withPanels([ + + g.panel.stateTimeline.new('Files (sec)') + + stateTimeline.queryOptions.withDatasource('Elasticsearch-clusterbuster-files-results') + + g.panel.stateTimeline.withDescription('Lower is better') + + + stateTimeline.standardOptions.color.withMode('thresholds') + + stateTimeline.fieldConfig.defaults.custom.withFillOpacity(70) + + stateTimeline.fieldConfig.defaults.custom.withLineWidth(0) + + + stateTimeline.fieldConfig.defaults.withDecimals(2) + + stateTimeline.fieldConfig.defaults.withMappings([]) + + stateTimeline.standardOptions.withMax(-1) + + stateTimeline.fieldConfig.defaults.thresholds.withMode('percentage') + + stateTimeline.fieldConfig.defaults.thresholds.withSteps([ + stateTimeline.thresholdStep.withColor('dark-blue'), + + stateTimeline.thresholdStep.withColor('dark-green') + + stateTimeline.thresholdStep.withValue(1), + + stateTimeline.thresholdStep.withColor('super-light-green') + + stateTimeline.thresholdStep.withValue(10), + + stateTimeline.thresholdStep.withColor('semi-dark-orange') + + stateTimeline.thresholdStep.withValue(20), + + stateTimeline.thresholdStep.withColor('dark-red') + + stateTimeline.thresholdStep.withValue(50) + + ]) + + stateTimeline.fieldConfig.withOverrides([]) + + + stateTimeline.gridPos.withH(16) + + stateTimeline.gridPos.withW(24) + + stateTimeline.gridPos.withX(0) + + stateTimeline.gridPos.withY(184) + + + stateTimeline.withId(165) + + stateTimeline.withInterval('1d') + + + stateTimeline.panelOptions.withLinks([ + stateTimeline.link.withTitle('artifacts link') + + stateTimeline.link.withUrl('https://grafana-perf-chmf5l4sh776bznl3b.ibm.rhperfscale.org/d/T4775LKnzzmichey/regression-summary?orgId=1&from=now-45d&to=now&viewPanel=150') + + ]) + + stateTimeline.options.withAlignValue('left') + + stateTimeline.options.legend.withDisplayMode('list') + + stateTimeline.options.legend.withPlacement('bottom') + + stateTimeline.options.withMergeValues(value = false) + + stateTimeline.options.withRowHeight(value = 0.9) + + stateTimeline.options.withShowValue('auto') + + stateTimeline.options.tooltip.withMode('single') + + + g.panel.stateTimeline.withTargets([ + elasticsearch.withAlias('create: 4096: {{term test_description.runtime.keyword}}') + + + elasticsearch.withBucketAggs([ + + elasticsearch.bucketAggs.Terms.withField('test_description.runtime.keyword') + + elasticsearch.bucketAggs.Terms.withId('8') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('7') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('create.elapsed_time') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('6') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + +elasticsearch.withQuery('test_description.filesize:4096') + +elasticsearch.withRefId('A') + +elasticsearch.withTimeField('timestamp'), + + + ////// + + + elasticsearch.withAlias('create: 262,144: {{term test_description.runtime.keyword}}') + + + elasticsearch.withBucketAggs([ + + elasticsearch.bucketAggs.Terms.withField('test_description.runtime.keyword') + + elasticsearch.bucketAggs.Terms.withId('8') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('7') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('create.elapsed_time') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('6') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + +elasticsearch.withQuery('test_description.filesize:262144') + +elasticsearch.withRefId('G') + +elasticsearch.withTimeField('timestamp'), + + + ////// + + + elasticsearch.withAlias('read : 4096: {{term test_description.runtime.keyword}}') + + + elasticsearch.withBucketAggs([ + + elasticsearch.bucketAggs.Terms.withField('test_description.runtime.keyword') + + elasticsearch.bucketAggs.Terms.withId('8') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('7') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + elasticsearch.withHide(false) + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('read.elapsed_time') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('6') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + +elasticsearch.withQuery('test_description.filesize:4096') + +elasticsearch.withRefId('C') + +elasticsearch.withTimeField('timestamp'), + + + ////// + + elasticsearch.withAlias('read : 262,144: {{term test_description.runtime.keyword}}') + + + elasticsearch.withBucketAggs([ + + elasticsearch.bucketAggs.Terms.withField('test_description.runtime.keyword') + + elasticsearch.bucketAggs.Terms.withId('8') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('7') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + elasticsearch.withHide(false) + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('read.elapsed_time') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('6') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + +elasticsearch.withQuery('test_description.filesize:262144') + +elasticsearch.withRefId('I') + +elasticsearch.withTimeField('timestamp'), + + + ////// + + elasticsearch.withAlias('remove : 4096: {{term test_description.runtime.keyword}}') + + + elasticsearch.withBucketAggs([ + + elasticsearch.bucketAggs.Terms.withField('test_description.runtime.keyword') + + elasticsearch.bucketAggs.Terms.withId('8') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('7') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + elasticsearch.withHide(false) + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('remove.elapsed_time') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('6') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + +elasticsearch.withQuery('test_description.filesize:4096') + +elasticsearch.withRefId('E') + +elasticsearch.withTimeField('timestamp'), + + + ////// + + + elasticsearch.withAlias('remove : 262,144: {{term test_description.runtime.keyword}}') + + + elasticsearch.withBucketAggs([ + + elasticsearch.bucketAggs.Terms.withField('test_description.runtime.keyword') + + elasticsearch.bucketAggs.Terms.withId('8') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('7') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + elasticsearch.withHide(false) + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('remove.elapsed_time') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('6') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + +elasticsearch.withQuery('test_description.filesize:262144') + +elasticsearch.withRefId('K') + +elasticsearch.withTimeField('timestamp') + + ]) + + + stateTimeline.withTransformations([ + stateTimeline.transformation.withId('calculateField') + + stateTimeline.transformation.withOptions({ + "alias": "create 4096 kata/runc", + "binary": { + "left": "create: 4096: kata", + "operator": "/", + "reducer": "sum", + "right": "create: 4096: runc" + }, + "mode": "binary", + "reduce": { + "reducer": "sum" + } + }), + stateTimeline.transformation.withId('calculateField') + + stateTimeline.transformation.withOptions({ + "alias": "create 262,144 kata/runc", + "binary": { + "left": "create: 262,144: kata", + "operator": "/", + "reducer": "sum", + "right": "create: 262,144: runc" + }, + "mode": "binary", + "reduce": { + "reducer": "sum" + } + }), + stateTimeline.transformation.withId('calculateField') + + stateTimeline.transformation.withOptions({ + "alias": "read 4096 kata/runc", + "binary": { + "left": "read : 4096: kata", + "operator": "/", + "reducer": "sum", + "right": "read : 4096: runc" + }, + "mode": "binary", + "reduce": { + "reducer": "sum" + } + }), + stateTimeline.transformation.withId('calculateField') + + stateTimeline.transformation.withOptions({ + "alias": "read 262,144 kata/runc", + "binary": { + "left": "read : 262,144: kata", + "operator": "/", + "reducer": "sum", + "right": "read : 262,144: runc" + }, + "mode": "binary", + "reduce": { + "reducer": "sum" + } + }), + stateTimeline.transformation.withId('calculateField') + + stateTimeline.transformation.withOptions({ + "alias": "remove 4096 kata/runc", + "binary": { + "left": "remove : 4096: kata", + "operator": "/", + "reducer": "sum", + "right": "remove : 4096: runc" + }, + "mode": "binary", + "reduce": { + "reducer": "sum" + } + }), + stateTimeline.transformation.withId('calculateField') + + stateTimeline.transformation.withOptions({ + "alias": "remove 262,144 kata/runc", + "binary": { + "left": "remove : 262,144: kata", + "operator": "/", + "reducer": "sum", + "right": "remove : 262,144: runc" + }, + "mode": "binary", + "reduce": { + "reducer": "sum" + } + }), + stateTimeline.transformation.withId('organize') + + stateTimeline.transformation.withOptions({ + "excludeByName": { + "create: 262,144: clusterbuster-ci": true, + "create: 4096: clusterbuster-ci": true, + "read : 262,144: clusterbuster-ci": true, + "read : 4096: clusterbuster-ci": true, + "remove : 262,144: clusterbuster-ci": true, + "remove : 4096: clusterbuster-ci": true + }, + "indexByName": { + "Time": 0, + "create 262,144 kata/runc": 6, + "create 4096 kata/runc": 3, + "create: 262,144: kata": 5, + "create: 262,144: runc": 4, + "create: 4096: kata": 2, + "create: 4096: runc": 1, + "read 262,144 kata/runc": 12, + "read 4096 kata/runc": 9, + "read : 262,144: kata": 11, + "read : 262,144: runc": 10, + "read : 4096: kata": 8, + "read : 4096: runc": 7, + "remove 262,144 kata/runc": 18, + "remove 4096 kata/runc": 15, + "remove : 262,144: kata": 17, + "remove : 262,144: runc": 16, + "remove : 4096: kata": 14, + "remove : 4096: runc": 13 + }, + "renameByName": {} + }), + stateTimeline.transformation.withId('convertFieldType') + + stateTimeline.transformation.withOptions({ + "conversions": [ + { + "destinationType": "number", + "targetField": "create 4096 kata/runc" + }, + { + "destinationType": "number", + "targetField": "create 262,144 kata/runc" + }, + { + "destinationType": "number", + "targetField": "read 4096 kata/runc" + }, + { + "destinationType": "number", + "targetField": "read 262,144 kata/runc" + }, + { + "destinationType": "number", + "targetField": "remove 4096 kata/runc" + }, + { + "destinationType": "number", + "targetField": "remove 262,144 kata/runc" + } + ], + "fields": {} + }), + + + + + + + + ]), + + + + + ]), + + + /////////////////////////////// + + + g.panel.row.new("Clusterbuster - Uperf") + + g.panel.row.withCollapsed(value=true) + + + g.panel.row.gridPos.withH(1) + + g.panel.row.gridPos.withW(24) + + g.panel.row.gridPos.withX(0) + + g.panel.row.gridPos.withY(18) + + + g.panel.row.withId(184) + + + g.panel.row.withPanels([ + + g.panel.stateTimeline.new('Uperf (Latency)') + + stateTimeline.queryOptions.withDatasource('Elasticsearch-clusterbuster-uperf-results') + + g.panel.stateTimeline.withDescription('Lower is better') + + + stateTimeline.standardOptions.color.withMode('thresholds') + + stateTimeline.fieldConfig.defaults.custom.withFillOpacity(70) + + stateTimeline.fieldConfig.defaults.custom.withLineWidth(0) + + + stateTimeline.fieldConfig.defaults.withDecimals(2) + + stateTimeline.fieldConfig.defaults.withMappings([]) + + stateTimeline.standardOptions.withMax(-1) + + stateTimeline.fieldConfig.defaults.thresholds.withMode('percentage') + + stateTimeline.fieldConfig.defaults.thresholds.withSteps([ + stateTimeline.thresholdStep.withColor('dark-blue'), + + stateTimeline.thresholdStep.withColor('dark-green') + + stateTimeline.thresholdStep.withValue(1), + + stateTimeline.thresholdStep.withColor('super-light-green') + + stateTimeline.thresholdStep.withValue(10), + + stateTimeline.thresholdStep.withColor('semi-dark-orange') + + stateTimeline.thresholdStep.withValue(20), + + stateTimeline.thresholdStep.withColor('dark-red') + + stateTimeline.thresholdStep.withValue(50) + + ]) + + stateTimeline.fieldConfig.withOverrides([]) + + + stateTimeline.gridPos.withH(9) + + stateTimeline.gridPos.withW(24) + + stateTimeline.gridPos.withX(0) + + stateTimeline.gridPos.withY(185) + + + stateTimeline.withId(169) + + stateTimeline.withInterval('1d') + + + stateTimeline.panelOptions.withLinks([ + stateTimeline.link.withTitle('artifacts link') + + stateTimeline.link.withUrl('https://grafana-perf-chmf5l4sh776bznl3b.ibm.rhperfscale.org/d/T4775LKnzzmichey/regression-summary?orgId=1&from=now-45d&to=now&viewPanel=150') + + ]) + + stateTimeline.options.withAlignValue('left') + + stateTimeline.options.legend.withDisplayMode('list') + + stateTimeline.options.legend.withPlacement('bottom') + + stateTimeline.options.withMergeValues(value = false) + + stateTimeline.options.withRowHeight(value = 0.7) + + stateTimeline.options.withShowValue('auto') + + stateTimeline.options.tooltip.withMode('single') + + + g.panel.stateTimeline.withTargets([ + elasticsearch.withAlias('latency: {{term test_description.msgsize}}: {{term test_description.runtime.keyword}}') + + + elasticsearch.withBucketAggs([ + elasticsearch.bucketAggs.Terms.withField('test_description.msgsize') + + elasticsearch.bucketAggs.Terms.withId('8') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('asc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.Terms.withField('test_description.runtime.keyword') + + elasticsearch.bucketAggs.Terms.withId('9') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('7') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('max_time_op') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('6') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.settings.withScript('_value*1000') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + +elasticsearch.withQuery('') + +elasticsearch.withRefId('A') + +elasticsearch.withTimeField('timestamp'), + + + ////// + + + ]) + + + stateTimeline.withTransformations([ + stateTimeline.transformation.withId('calculateField') + + stateTimeline.transformation.withOptions({ + "alias": "rate:64 kata/runc", + "binary": { + "left": "rate: 64: kata", + "operator": "/", + "reducer": "sum", + "right": "rate: 64: runc" + }, + "mode": "binary", + "reduce": { + "include": [ + "rate: 64: runc", + "rate: 64: kata" + ], + "reducer": "sum" + }, + "replaceFields": false + }), + stateTimeline.transformation.withId('calculateField') + + stateTimeline.transformation.withOptions({ + "alias": "rate:1024 kata/runc", + "binary": { + "left": "rate: 1024: kata", + "operator": "/", + "reducer": "sum", + "right": "rate: 1024: runc" + }, + "mode": "binary", + "reduce": { + "include": [ + "rate: 1024: runc", + "rate: 1024: kata" + ], + "reducer": "sum" + } + }), + stateTimeline.transformation.withId('calculateField') + + stateTimeline.transformation.withOptions({ + "alias": "rate:8192 kata/runc", + "binary": { + "left": "rate: 8192: kata", + "operator": "/", + "reducer": "sum", + "right": "rate: 8192: runc" + }, + "mode": "binary", + "reduce": { + "reducer": "sum" + } + }), + stateTimeline.transformation.withId('organize') + + stateTimeline.transformation.withOptions({ + "excludeByName": { + "latency: 1024: clusterbuster-ci": true, + "latency: 64: clusterbuster-ci": true, + "latency: 8192: clusterbuster-ci": true + }, + "indexByName": { + "Time": 0, + "rate: 1024: kata": 5, + "rate: 1024: runc": 4, + "rate: 64: kata": 2, + "rate: 64: runc": 1, + "rate: 8192: kata": 8, + "rate: 8192: runc": 7, + "rate:1024 kata/runc": 6, + "rate:64 kata/runc": 3, + "rate:8192 kata/runc": 9 + }, + "renameByName": {} + }), + stateTimeline.transformation.withId('convertFieldType') + + stateTimeline.transformation.withOptions({ + "conversions": [ + { + "destinationType": "number", + "targetField": "rate:64 kata/runc" + }, + { + "destinationType": "number", + "targetField": "rate:1024 kata/runc" + }, + { + "destinationType": "number", + "targetField": "rate:8192 kata/runc" + } + ], + "fields": {} + }), + + + + + + + + ]), + + /////////////// + + + + g.panel.stateTimeline.new('Uperf (Throughput)') + + stateTimeline.queryOptions.withDatasource('Elasticsearch-clusterbuster-uperf-results') + + g.panel.stateTimeline.withDescription('Higher is better') + + + stateTimeline.standardOptions.color.withMode('thresholds') + + stateTimeline.fieldConfig.defaults.custom.withFillOpacity(70) + + stateTimeline.fieldConfig.defaults.custom.withLineWidth(0) + + + stateTimeline.fieldConfig.defaults.withMappings([]) + + stateTimeline.standardOptions.withMin(0) + + stateTimeline.fieldConfig.defaults.thresholds.withMode('percentage') + + stateTimeline.fieldConfig.defaults.thresholds.withSteps([ + stateTimeline.thresholdStep.withColor('red'), + + stateTimeline.thresholdStep.withColor('semi-dark-orange') + + stateTimeline.thresholdStep.withValue(50), + + stateTimeline.thresholdStep.withColor('super-light-green') + + stateTimeline.thresholdStep.withValue(80), + + stateTimeline.thresholdStep.withColor('dark-green') + + stateTimeline.thresholdStep.withValue(90), + + stateTimeline.thresholdStep.withColor('dark-blue') + + stateTimeline.thresholdStep.withValue(100) + + ]) + + stateTimeline.fieldConfig.withOverrides([]) + + + stateTimeline.gridPos.withH(12) + + stateTimeline.gridPos.withW(24) + + stateTimeline.gridPos.withX(0) + + stateTimeline.gridPos.withY(194) + + + stateTimeline.withId(174) + + stateTimeline.withInterval('1d') + + + stateTimeline.panelOptions.withLinks([ + stateTimeline.link.withTitle('artifacts link') + + stateTimeline.link.withUrl('https://grafana-perf-chmf5l4sh776bznl3b.ibm.rhperfscale.org/d/T4775LKnzzmichey/regression-summary?orgId=1&from=now-45d&to=now&viewPanel=150') + + ]) + + stateTimeline.options.withAlignValue('left') + + stateTimeline.options.legend.withDisplayMode('list') + + stateTimeline.options.legend.withPlacement('bottom') + + stateTimeline.options.withMergeValues(value = false) + + stateTimeline.options.withRowHeight(value = 0.7) + + stateTimeline.options.withShowValue('auto') + + stateTimeline.options.tooltip.withMode('single') + + + g.panel.stateTimeline.withTargets([ + elasticsearch.withAlias('rate: {{term test_description.msgsize}}: {{term test_description.runtime.keyword}}') + + + elasticsearch.withBucketAggs([ + elasticsearch.bucketAggs.Terms.withField('test_description.msgsize') + + elasticsearch.bucketAggs.Terms.withId('8') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('asc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.Terms.withField('test_description.runtime.keyword') + + elasticsearch.bucketAggs.Terms.withId('9') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('7') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('rate') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('6') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.settings.withScript('_value/1000000') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + +elasticsearch.withQuery('') + +elasticsearch.withRefId('A') + +elasticsearch.withTimeField('timestamp'), + + + ////// + + + ]) + + + stateTimeline.withTransformations([ + stateTimeline.transformation.withId('calculateField') + + stateTimeline.transformation.withOptions({ + "alias": "rate: 64 kata/runc", + "binary": { + "left": "rate: 64: kata", + "operator": "/", + "reducer": "sum", + "right": "rate: 64: runc" + }, + "mode": "binary", + "reduce": { + "include": [ + "rate: 64: runc", + "rate: 64: kata" + ], + "reducer": "sum" + } + }), + stateTimeline.transformation.withId('calculateField') + + stateTimeline.transformation.withOptions({ + "alias": "rate: 1024: kata/runc", + "binary": { + "left": "rate: 1024: kata", + "operator": "/", + "reducer": "sum", + "right": "rate: 1024: runc" + }, + "mode": "binary", + "reduce": { + "reducer": "sum" + } + }), + stateTimeline.transformation.withId('calculateField') + + stateTimeline.transformation.withOptions({ + "alias": "rate:8192: kata/runc", + "binary": { + "left": "rate: 8192: kata", + "operator": "/", + "reducer": "sum", + "right": "rate: 8192: runc" + }, + "mode": "binary", + "reduce": { + "include": [ + "rate: 8192: runc", + "rate: 8192: kata" + ], + "reducer": "sum" + } + }), + stateTimeline.transformation.withId('organize') + + stateTimeline.transformation.withOptions({ + "excludeByName": { + "rate: 1024: clusterbuster-ci": true, + "rate: 64: clusterbuster-ci": true, + "rate: 8192: clusterbuster-ci": true + }, + "indexByName": { + "Time": 0, + "rate: 1024: kata": 5, + "rate: 1024: kata/runc": 6, + "rate: 1024: runc": 4, + "rate: 64 kata/runc": 3, + "rate: 64: kata": 2, + "rate: 64: runc": 1, + "rate: 8192: kata": 8, + "rate: 8192: runc": 7, + "rate:8192: kata/runc": 9 + }, + "renameByName": {} + }), + stateTimeline.transformation.withId('convertFieldType') + + stateTimeline.transformation.withOptions({ + "conversions": [ + { + "destinationType": "number", + "targetField": "rate: 64 kata/runc" + }, + { + "destinationType": "number", + "targetField": "rate: 1024: kata/runc" + }, + { + "destinationType": "number", + "targetField": "rate:8192: kata/runc" + } + ], + "fields": {} + }), + + + + + + + + ]) + ]), + + + + + + + + /////////////////////////////// + + + + + + g.panel.row.new("Clusterbuster - release") + + g.panel.row.withCollapsed(value=true) + + + g.panel.row.gridPos.withH(1) + + g.panel.row.gridPos.withW(24) + + g.panel.row.gridPos.withX(0) + + g.panel.row.gridPos.withY(19) + + + g.panel.row.withId(157) + + + g.panel.row.withPanels([ + g.panel.stateTimeline.new('clusterbuster-cpusoaker [OVN - 09/19]') + + stateTimeline.queryOptions.withDatasource('Elasticsearch-clusterbuster-cpusoaker-release-results') + + g.panel.stateTimeline.withDescription('OVN - 09/19') + + + stateTimeline.standardOptions.color.withMode('thresholds') + + stateTimeline.fieldConfig.defaults.custom.withFillOpacity(70) + + stateTimeline.fieldConfig.defaults.custom.withLineWidth(0) + + + stateTimeline.fieldConfig.defaults.withMappings([]) + + stateTimeline.standardOptions.withMin(0) + + stateTimeline.fieldConfig.defaults.thresholds.withMode('percentage') + + stateTimeline.fieldConfig.defaults.thresholds.withSteps([ + stateTimeline.thresholdStep.withColor('red'), + + stateTimeline.thresholdStep.withColor('semi-dark-orange') + + stateTimeline.thresholdStep.withValue(50), + + stateTimeline.thresholdStep.withColor('super-light-green') + + stateTimeline.thresholdStep.withValue(80), + + stateTimeline.thresholdStep.withColor('dark-green') + + stateTimeline.thresholdStep.withValue(90), + + stateTimeline.thresholdStep.withColor('dark-blue') + + stateTimeline.thresholdStep.withValue(100) + + ]) + + stateTimeline.fieldConfig.withOverrides([]) + + + stateTimeline.gridPos.withH(36) + + stateTimeline.gridPos.withW(24) + + stateTimeline.gridPos.withX(0) + + stateTimeline.gridPos.withY(261) + + + stateTimeline.withId(164) + + stateTimeline.withInterval('1d') + + + stateTimeline.panelOptions.withLinks([ + stateTimeline.link.withTitle('artifacts link') + + stateTimeline.link.withUrl('https://grafana-perf-chmf5l4sh776bznl3b.ibm.rhperfscale.org/d/T4775LKnzzmichey/regression-summary?orgId=1&from=1659592686997&to=1663480686997&viewPanel=166') + + ]) + + + stateTimeline.options.withAlignValue('left') + + stateTimeline.options.legend.withDisplayMode('list') + + stateTimeline.options.legend.withPlacement('bottom') + + stateTimeline.options.withMergeValues(value = false) + + stateTimeline.options.withRowHeight(value = 0.9) + + stateTimeline.options.withShowValue('auto') + + stateTimeline.options.tooltip.withMode('single') + + + g.panel.stateTimeline.withTargets([ + elasticsearch.withAlias('pod: max') + + + elasticsearch.withBucketAggs([ + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('7') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + stateTimeline.datasource.withType('elasticsearch') + + stateTimeline.datasource.withUid('cd4b9568-576c-4528-b200-89b91a098410') + + + elasticsearch.withHide(false) + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('test_description.pods') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('6') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + +elasticsearch.withQuery("test_description.runtime='runc'") + +elasticsearch.withRefId('A') + +elasticsearch.withTimeField('timestamp'), + + + ////// + + + elasticsearch.withAlias('kata: max') + + + elasticsearch.withBucketAggs([ + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('7') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + stateTimeline.datasource.withType('elasticsearch') + + stateTimeline.datasource.withUid('cd4b9568-576c-4528-b200-89b91a098410') + + + elasticsearch.withHide(false) + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('test_description.pods') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('6') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + +elasticsearch.withQuery("test_description.runtime='kata'") + +elasticsearch.withRefId('B') + +elasticsearch.withTimeField('timestamp'), + + + ////// + + + elasticsearch.withAlias('pod: Memory per pod (MB)') + + + elasticsearch.withBucketAggs([ + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('7') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + stateTimeline.datasource.withType('elasticsearch') + + stateTimeline.datasource.withUid('cd4b9568-576c-4528-b200-89b91a098410') + + + elasticsearch.withHide(false) + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('memory_per_pod') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('6') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.settings.withScript('_value/1000000') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + +elasticsearch.withQuery("test_description.runtime='runc'") + +elasticsearch.withRefId('C') + +elasticsearch.withTimeField('timestamp'), + + + ////// + + + elasticsearch.withAlias('kata: Memory per kata (MB)') + + + elasticsearch.withBucketAggs([ + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('7') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + stateTimeline.datasource.withType('elasticsearch') + + stateTimeline.datasource.withUid('cd4b9568-576c-4528-b200-89b91a098410') + + + elasticsearch.withHide(false) + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('memory_per_pod') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('6') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.settings.withScript('_value/1000000') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + +elasticsearch.withQuery("test_description.runtime='kata'") + +elasticsearch.withRefId('D') + +elasticsearch.withTimeField('timestamp'), + + ////// + + + elasticsearch.withAlias('"pod: start per seconds') + + + elasticsearch.withBucketAggs([ + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('7') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + stateTimeline.datasource.withType('elasticsearch') + + stateTimeline.datasource.withUid('cd4b9568-576c-4528-b200-89b91a098410') + + + elasticsearch.withHide(false) + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('pod_starts_per_second') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('6') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + +elasticsearch.withQuery("test_description.runtime='runc'") + +elasticsearch.withRefId('E') + +elasticsearch.withTimeField('timestamp'), + + + ////// + + + elasticsearch.withAlias('kata: start per seconds') + + + elasticsearch.withBucketAggs([ + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('7') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + stateTimeline.datasource.withType('elasticsearch') + + stateTimeline.datasource.withUid('cd4b9568-576c-4528-b200-89b91a098410') + + + elasticsearch.withHide(false) + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('pod_starts_per_second') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('6') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + +elasticsearch.withQuery("test_description.runtime='kata'") + +elasticsearch.withRefId('F') + +elasticsearch.withTimeField('timestamp'), + + + ////// + + + elasticsearch.withAlias('pod: Iteration cpu sec') + + + elasticsearch.withBucketAggs([ + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('7') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + stateTimeline.datasource.withType('elasticsearch') + + stateTimeline.datasource.withUid('cd4b9568-576c-4528-b200-89b91a098410') + + + elasticsearch.withHide(false) + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('iterations_cpu_sec') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('6') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.settings.withScript('_value/1000000') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + +elasticsearch.withQuery("test_description.runtime='runc'") + +elasticsearch.withRefId('G') + +elasticsearch.withTimeField('timestamp'), + + + ////// + + + elasticsearch.withAlias('kata: Iteration cpu sec') + + + elasticsearch.withBucketAggs([ + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('7') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + stateTimeline.datasource.withType('elasticsearch') + + stateTimeline.datasource.withUid('cd4b9568-576c-4528-b200-89b91a098410') + + + elasticsearch.withHide(false) + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('iterations_cpu_sec') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('6') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.settings.withScript('_value/1000000') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + +elasticsearch.withQuery("test_description.runtime='kata'") + +elasticsearch.withRefId('H') + +elasticsearch.withTimeField('timestamp'), + + + ////// + + + elasticsearch.withAlias('pod: Iteration sec') + + + elasticsearch.withBucketAggs([ + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('7') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + stateTimeline.datasource.withType('elasticsearch') + + stateTimeline.datasource.withUid('cd4b9568-576c-4528-b200-89b91a098410') + + + elasticsearch.withHide(false) + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('iterations_sec') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('6') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.settings.withScript('_value/1000000') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + +elasticsearch.withQuery("test_description.runtime='runc'") + +elasticsearch.withRefId('I') + +elasticsearch.withTimeField('timestamp'), + + + ////// + + + elasticsearch.withAlias('kata: Iteration sec') + + + elasticsearch.withBucketAggs([ + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('7') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + stateTimeline.datasource.withType('elasticsearch') + + stateTimeline.datasource.withUid('cd4b9568-576c-4528-b200-89b91a098410') + + + elasticsearch.withHide(false) + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('iterations_sec') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('6') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.settings.withScript('_value/1000000') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + +elasticsearch.withQuery("test_description.runtime='kata'") + +elasticsearch.withRefId('J') + +elasticsearch.withTimeField('timestamp') + + + ]), + + + + + + + ///////////////////////////////////////////// + + + + + + g.panel.stateTimeline.new('clusterbuster-files: elapsed_time: Direct/ 64 dirs/files') + + stateTimeline.queryOptions.withDatasource('Elasticsearch-clusterbuster-files-release-results') + + + stateTimeline.standardOptions.color.withMode('thresholds') + + stateTimeline.fieldConfig.defaults.custom.withFillOpacity(70) + + stateTimeline.fieldConfig.defaults.custom.withLineWidth(0) + + + stateTimeline.fieldConfig.defaults.withMappings([]) + + stateTimeline.standardOptions.withMin(0) + + stateTimeline.fieldConfig.defaults.thresholds.withMode('percentage') + + stateTimeline.fieldConfig.defaults.thresholds.withSteps([ + stateTimeline.thresholdStep.withColor('red'), + + stateTimeline.thresholdStep.withColor('semi-dark-orange') + + stateTimeline.thresholdStep.withValue(50), + + stateTimeline.thresholdStep.withColor('super-light-green') + + stateTimeline.thresholdStep.withValue(80), + + stateTimeline.thresholdStep.withColor('dark-green') + + stateTimeline.thresholdStep.withValue(90), + + stateTimeline.thresholdStep.withColor('dark-blue') + + stateTimeline.thresholdStep.withValue(100) + + ]) + + stateTimeline.fieldConfig.withOverrides([]) + + + stateTimeline.gridPos.withH(36) + + stateTimeline.gridPos.withW(24) + + stateTimeline.gridPos.withX(0) + + stateTimeline.gridPos.withY(297) + + + stateTimeline.withId(153) + + stateTimeline.withInterval('1d') + + + stateTimeline.panelOptions.withLinks([ + stateTimeline.link.withTitle('artifacts link') + + stateTimeline.link.withUrl('https://grafana-perf-chmf5l4sh776bznl3b.ibm.rhperfscale.org/d/T4775LKnzzmichey/regression-summary?orgId=1&from=now-45d&to=now&viewPanel=150') + + ]) + + + stateTimeline.options.withAlignValue('left') + + stateTimeline.options.legend.withDisplayMode('list') + + stateTimeline.options.legend.withPlacement('bottom') + + stateTimeline.options.withMergeValues(value = false) + + stateTimeline.options.withRowHeight(value = 0.9) + + stateTimeline.options.withShowValue('auto') + + stateTimeline.options.tooltip.withMode('single') + + + g.panel.stateTimeline.withTargets([ + elasticsearch.withAlias('pod: create: filesize 4096') + + + elasticsearch.withBucketAggs([ + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('7') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('create.elapsed_time') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('6') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + +elasticsearch.withQuery("test_description.runtime='runc' and test_description.filesize:4096") + +elasticsearch.withRefId('A') + +elasticsearch.withTimeField('timestamp'), + + + ////// + + + elasticsearch.withAlias('kata: create: filesize 4096') + + + elasticsearch.withBucketAggs([ + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('7') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + elasticsearch.withHide(false) + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('create.elapsed_time') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('6') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + +elasticsearch.withQuery("test_description.runtime='kata' and test_description.filesize:4096") + +elasticsearch.withRefId('B') + +elasticsearch.withTimeField('timestamp'), + + + ////// + + + elasticsearch.withAlias('pod: read : filesize 4096') + + + elasticsearch.withBucketAggs([ + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('7') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + elasticsearch.withHide(false) + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('read.elapsed_time') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('6') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + +elasticsearch.withQuery("test_description.runtime='runc' and test_description.filesize:4096") + +elasticsearch.withRefId('C') + +elasticsearch.withTimeField('timestamp'), + + + ////// + + + elasticsearch.withAlias('kata: read: filesize 4096') + + + elasticsearch.withBucketAggs([ + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('7') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + elasticsearch.withHide(false) + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('read.elapsed_time') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('6') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + +elasticsearch.withQuery("test_description.runtime='kata' and test_description.filesize:4096") + +elasticsearch.withRefId('D') + +elasticsearch.withTimeField('timestamp'), + + ////// + + + elasticsearch.withAlias('pod: remove : filesize 4096') + + + elasticsearch.withBucketAggs([ + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('7') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + elasticsearch.withHide(false) + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('remove.elapsed_time') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('6') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + +elasticsearch.withQuery("test_description.runtime='runc' and test_description.filesize:4096") + +elasticsearch.withRefId('E') + +elasticsearch.withTimeField('timestamp'), + + + ////// + + + elasticsearch.withAlias('kata: remove: filesize 4096') + + + elasticsearch.withBucketAggs([ + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('7') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + elasticsearch.withHide(false) + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('remove.elapsed_time') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('6') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + +elasticsearch.withQuery("test_description.runtime='kata' and test_description.filesize:4096") + +elasticsearch.withRefId('F') + +elasticsearch.withTimeField('timestamp'), + + + ////// + + + elasticsearch.withAlias('pod: create: filesize 262,144') + + + elasticsearch.withBucketAggs([ + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('7') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + elasticsearch.withHide(false) + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('create.elapsed_time') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('6') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + +elasticsearch.withQuery("test_description.runtime='runc' and test_description.filesize:262144") + +elasticsearch.withRefId('G') + +elasticsearch.withTimeField('timestamp'), + + + ////// + + + elasticsearch.withAlias('kata: create: filesize 262,144') + + + elasticsearch.withBucketAggs([ + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('7') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + elasticsearch.withHide(false) + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('create.elapsed_time') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('6') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + +elasticsearch.withQuery("test_description.runtime='kata' and test_description.filesize:262144") + +elasticsearch.withRefId('H') + +elasticsearch.withTimeField('timestamp'), + + + ////// + + + elasticsearch.withAlias('pod: read : filesize 262,144') + + + elasticsearch.withBucketAggs([ + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('7') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + elasticsearch.withHide(false) + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('read.elapsed_time') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('6') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + +elasticsearch.withQuery("test_description.runtime='runc' and test_description.filesize:262144") + +elasticsearch.withRefId('I') + +elasticsearch.withTimeField('timestamp'), + + + ////// + + + elasticsearch.withAlias('kata: read : filesize 262,144') + + + elasticsearch.withBucketAggs([ + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('7') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + elasticsearch.withHide(false) + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('read.elapsed_time') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('6') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + +elasticsearch.withQuery("test_description.runtime='kata' and test_description.filesize:262144") + +elasticsearch.withRefId('J') + +elasticsearch.withTimeField('timestamp'), + + + ////// + + + elasticsearch.withAlias('pod: remove : filesize 262,144') + + + elasticsearch.withBucketAggs([ + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('7') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + elasticsearch.withHide(false) + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('remove.elapsed_time') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('6') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + +elasticsearch.withQuery("test_description.runtime='runc' and test_description.filesize:262144") + +elasticsearch.withRefId('K') + +elasticsearch.withTimeField('timestamp'), + + + ////// + + + elasticsearch.withAlias('kata: remove: filesize 262,144') + + + elasticsearch.withBucketAggs([ + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('7') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + elasticsearch.withHide(false) + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('remove.elapsed_time') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('6') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + +elasticsearch.withQuery("test_description.runtime='kata' and test_description.filesize:262144") + +elasticsearch.withRefId('K') + +elasticsearch.withTimeField('timestamp') + + + ]), + + + + + + + + ///////////////////////////////////////////// + + + + + + g.panel.stateTimeline.new('clusterbuster-fio') + + stateTimeline.queryOptions.withDatasource('Elasticsearch-clusterbuster-fio-release-results') + + + stateTimeline.standardOptions.color.withMode('thresholds') + + stateTimeline.fieldConfig.defaults.custom.withFillOpacity(70) + + stateTimeline.fieldConfig.defaults.custom.withLineWidth(0) + + + stateTimeline.fieldConfig.defaults.withMappings([]) + + stateTimeline.standardOptions.withMin(0) + + stateTimeline.fieldConfig.defaults.thresholds.withMode('percentage') + + stateTimeline.fieldConfig.defaults.thresholds.withSteps([ + stateTimeline.thresholdStep.withColor('red'), + + stateTimeline.thresholdStep.withColor('semi-dark-orange') + + stateTimeline.thresholdStep.withValue(50), + + stateTimeline.thresholdStep.withColor('super-light-green') + + stateTimeline.thresholdStep.withValue(80), + + stateTimeline.thresholdStep.withColor('dark-green') + + stateTimeline.thresholdStep.withValue(90), + + stateTimeline.thresholdStep.withColor('dark-blue') + + stateTimeline.thresholdStep.withValue(100) + + ]) + + stateTimeline.fieldConfig.withOverrides([]) + + + stateTimeline.gridPos.withH(36) + + stateTimeline.gridPos.withW(24) + + stateTimeline.gridPos.withX(0) + + stateTimeline.gridPos.withY(333) + + + stateTimeline.withId(168) + + stateTimeline.withInterval('1d') + + + stateTimeline.panelOptions.withLinks([ + stateTimeline.link.withTitle('artifacts link') + + stateTimeline.link.withUrl('https://grafana-perf-chmf5l4sh776bznl3b.ibm.rhperfscale.org/d/T4775LKnzzmichey/regression-summary?orgId=1&from=now-45d&to=now&viewPanel=150') + + ]) + + + stateTimeline.options.withAlignValue('left') + + stateTimeline.options.legend.withDisplayMode('list') + + stateTimeline.options.legend.withPlacement('bottom') + + stateTimeline.options.withMergeValues(value = false) + + stateTimeline.options.withRowHeight(value = 0.9) + + stateTimeline.options.withShowValue('auto') + + stateTimeline.options.tooltip.withMode('single') + + + g.panel.stateTimeline.withTargets([ + elasticsearch.withAlias('runc read') + + + elasticsearch.withBucketAggs([ + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('7') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('read.iops') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('6') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + +elasticsearch.withQuery("test_description.runtime='runc'") + +elasticsearch.withRefId('A') + +elasticsearch.withTimeField('timestamp'), + + + ////// + + + elasticsearch.withAlias('kata read') + + + elasticsearch.withBucketAggs([ + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('7') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + elasticsearch.withHide(false) + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('read.iops') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('6') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + +elasticsearch.withQuery("test_description.runtime='kata'") + +elasticsearch.withRefId('B') + +elasticsearch.withTimeField('timestamp') + ]), + + + + + + + ///////////////////////////////////////////// + + + + + + g.panel.stateTimeline.new('clusterbuster-uperf') + + stateTimeline.queryOptions.withDatasource('Elasticsearch-clusterbuster-uperf-release-results') + + + stateTimeline.standardOptions.color.withMode('thresholds') + + stateTimeline.fieldConfig.defaults.custom.withFillOpacity(70) + + stateTimeline.fieldConfig.defaults.custom.withLineWidth(0) + + + stateTimeline.fieldConfig.defaults.withMappings([]) + + stateTimeline.standardOptions.withMin(0) + + stateTimeline.fieldConfig.defaults.thresholds.withMode('percentage') + + stateTimeline.fieldConfig.defaults.thresholds.withSteps([ + stateTimeline.thresholdStep.withColor('red'), + + stateTimeline.thresholdStep.withColor('semi-dark-orange') + + stateTimeline.thresholdStep.withValue(50), + + stateTimeline.thresholdStep.withColor('super-light-green') + + stateTimeline.thresholdStep.withValue(80), + + stateTimeline.thresholdStep.withColor('dark-green') + + stateTimeline.thresholdStep.withValue(90), + + stateTimeline.thresholdStep.withColor('dark-blue') + + stateTimeline.thresholdStep.withValue(100) + + ]) + + stateTimeline.fieldConfig.withOverrides([]) + + + stateTimeline.gridPos.withH(36) + + stateTimeline.gridPos.withW(24) + + stateTimeline.gridPos.withX(0) + + stateTimeline.gridPos.withY(369) + + + stateTimeline.withId(170) + + stateTimeline.withInterval('1d') + + + stateTimeline.panelOptions.withLinks([ + stateTimeline.link.withTitle('artifacts link') + + stateTimeline.link.withUrl('https://grafana-perf-chmf5l4sh776bznl3b.ibm.rhperfscale.org/d/T4775LKnzzmichey/regression-summary?orgId=1&from=now-45d&to=now&viewPanel=150') + + ]) + + + stateTimeline.options.withAlignValue('left') + + stateTimeline.options.legend.withDisplayMode('list') + + stateTimeline.options.legend.withPlacement('bottom') + + stateTimeline.options.withMergeValues(value = false) + + stateTimeline.options.withRowHeight(value = 0.9) + + stateTimeline.options.withShowValue('auto') + + stateTimeline.options.tooltip.withMode('single') + + + g.panel.stateTimeline.withTargets([ + elasticsearch.withAlias('runc rate') + + + elasticsearch.withBucketAggs([ + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('7') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('rate') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('6') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.settings.withScript('_value/1000000') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + +elasticsearch.withQuery("test_description.runtime='runc'") + +elasticsearch.withRefId('A') + +elasticsearch.withTimeField('timestamp'), + + + ////// + + + elasticsearch.withAlias('kata rate') + + + elasticsearch.withBucketAggs([ + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('7') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.settings.withMinDocCount('0') + + elasticsearch.bucketAggs.DateHistogram.settings.withTimeZone('utc') + + elasticsearch.bucketAggs.DateHistogram.settings.withTrimEdges('0') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + elasticsearch.withHide(false) + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('rate') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('6') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.settings.withScript('_value/1000000') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + +elasticsearch.withQuery("test_description.runtime='kata'") + +elasticsearch.withRefId('B') + +elasticsearch.withTimeField('timestamp') + ]) + + + + ]), + + + + + + + + + + + + + + + + ////////////////////////////////////////////////////// + + + g.panel.row.new("BootStorm") + + g.panel.row.withCollapsed(value=true) + + + g.panel.row.gridPos.withH(1) + + g.panel.row.gridPos.withW(24) + + g.panel.row.gridPos.withX(0) + + g.panel.row.gridPos.withY(20) + + + g.panel.row.withId(176) + + + g.panel.row.withPanels([ + g.panel.stateTimeline.new('240 Fedora37 VMs(Sec)') + + stateTimeline.queryOptions.withDatasource('Elasticsearch-bootstorm-results') + + g.panel.stateTimeline.withDescription('Time till VM Login - Lower is better') + + + stateTimeline.standardOptions.color.withMode('thresholds') + + stateTimeline.fieldConfig.defaults.custom.withFillOpacity(77) + + stateTimeline.fieldConfig.defaults.custom.withLineWidth(0) + + + stateTimeline.fieldConfig.defaults.withDecimals(1) + + stateTimeline.fieldConfig.defaults.withMappings([ + stateTimeline.valueMapping.ValueMap.withOptions( + { + "0": { + "color": "transparent", + "index": 0, + "text": "." + } + } + ) + + stateTimeline.valueMapping.ValueMap.withType('value') + + ]) + + stateTimeline.standardOptions.withMax(-1) + + stateTimeline.fieldConfig.defaults.thresholds.withMode('percentage') + + stateTimeline.fieldConfig.defaults.thresholds.withSteps([ + stateTimeline.thresholdStep.withColor('dark-blue'), + + stateTimeline.thresholdStep.withColor('dark-green') + + stateTimeline.thresholdStep.withValue(1), + + stateTimeline.thresholdStep.withColor('super-light-green') + + stateTimeline.thresholdStep.withValue(10), + + stateTimeline.thresholdStep.withColor('semi-dark-orange') + + stateTimeline.thresholdStep.withValue(20), + + stateTimeline.thresholdStep.withColor('dark-red') + + stateTimeline.thresholdStep.withValue(50) + + ]) + + stateTimeline.standardOptions.withUnit('none') + + stateTimeline.fieldConfig.withOverrides([]) + + + stateTimeline.gridPos.withH(19) + + stateTimeline.gridPos.withW(24) + + stateTimeline.gridPos.withX(0) + + stateTimeline.gridPos.withY(187) + + + stateTimeline.withId(178) + + stateTimeline.withInterval('1d') + + + stateTimeline.panelOptions.withLinks([ + stateTimeline.link.withTargetBlank(true) + + stateTimeline.link.withTitle('artifacts link') + + stateTimeline.link.withUrl('https://grafana-perf-chmf5l4sh776bznl3b.ibm.rhperfscale.org/d/T4775LKnzzmichey/regression-summary?orgId=1&from=now-45d&to=now&viewPanel=190') + + ]) + + + stateTimeline.options.withAlignValue('center') + + stateTimeline.options.legend.withDisplayMode('hidden') + + stateTimeline.options.legend.withPlacement('bottom') + + stateTimeline.options.withMergeValues(value = false) + + stateTimeline.options.withRowHeight(value = 0.9) + + stateTimeline.options.withShowValue('always') + + stateTimeline.options.tooltip.withMode('single') + + + g.panel.stateTimeline.withTargets([ + elasticsearch.withAlias('Min') + + + elasticsearch.withBucketAggs([ + elasticsearch.bucketAggs.Terms.withField('scale') + + elasticsearch.bucketAggs.Terms.withId('3') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('2') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + elasticsearch.withHide(false) + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Min.withField('bootstorm_time') + + elasticsearch.metrics.MetricAggregationWithSettings.Min.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.Min.settings.withScript('_value/1000') + + elasticsearch.metrics.MetricAggregationWithSettings.Min.withType('min') + + ]) + + + elasticsearch.withQuery('scale:240 AND ocp_version:$ocp_version') + + elasticsearch.withRefId('A') + + elasticsearch.withTimeField('timestamp'), + + //// + + elasticsearch.withAlias('Max') + + + elasticsearch.withBucketAggs([ + elasticsearch.bucketAggs.Terms.withField('scale') + + elasticsearch.bucketAggs.Terms.withId('3') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('2') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + elasticsearch.withHide(false) + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('bootstorm_time') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.settings.withScript('_value/1000') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + + elasticsearch.withQuery('scale:240 AND ocp_version:$ocp_version') + + elasticsearch.withRefId('B') + + elasticsearch.withTimeField('timestamp'), + + //// + + + elasticsearch.withAlias('') + + + elasticsearch.withBucketAggs([ + elasticsearch.bucketAggs.Terms.withField('scale') + + elasticsearch.bucketAggs.Terms.withId('3') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('2') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + elasticsearch.withHide(false) + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Percentiles.withField('bootstorm_time') + + elasticsearch.metrics.MetricAggregationWithSettings.Percentiles.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.Percentiles.settings.withPercents(['25', '50', '75', '95', '99']) + + elasticsearch.metrics.MetricAggregationWithSettings.Percentiles.settings.withScript('_value/1000') + + elasticsearch.metrics.MetricAggregationWithSettings.Percentiles.withType('percentiles') + + ]) + + + elasticsearch.withQuery('scale:240 AND ocp_version:$ocp_version') + + elasticsearch.withRefId('C') + + elasticsearch.withTimeField('timestamp'), + + //// + + + elasticsearch.withAlias('AVG. 100 vms {{term node.keyword}}') + + + elasticsearch.withBucketAggs([ + elasticsearch.bucketAggs.Terms.withField('scale') + + elasticsearch.bucketAggs.Terms.withId('3') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.Terms.withField('node.keyword') + + elasticsearch.bucketAggs.Terms.withId('4') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('asc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('2') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + elasticsearch.withHide(false) + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Average.withField('bootstorm_time') + + elasticsearch.metrics.MetricAggregationWithSettings.Average.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.Average.settings.withScript('_value/1000') + + elasticsearch.metrics.MetricAggregationWithSettings.Average.withType('avg') + + ]) + + + elasticsearch.withQuery('scale:240 AND ocp_version:$ocp_version') + + elasticsearch.withRefId('D') + + elasticsearch.withTimeField('timestamp'), + + //// + + elasticsearch.withAlias('Memory(GB) [384GB]') + + + elasticsearch.withBucketAggs([ + elasticsearch.bucketAggs.Terms.withField('scale') + + elasticsearch.bucketAggs.Terms.withId('3') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('2') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + elasticsearch.withHide(false) + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('total_Memory') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.settings.withScript('_value/1000000000') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + + elasticsearch.withQuery('scale:240 AND ocp_version:$ocp_version') + + elasticsearch.withRefId('F') + + elasticsearch.withTimeField('timestamp'), + + //// + + elasticsearch.withAlias('Memory Worker-0 (GB) [128GB]') + + + elasticsearch.withBucketAggs([ + elasticsearch.bucketAggs.Terms.withField('scale') + + elasticsearch.bucketAggs.Terms.withId('3') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('2') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + elasticsearch.withHide(false) + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('worker-0_Memory') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.settings.withScript('_value/1000000000') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + + elasticsearch.withQuery('scale:240 AND ocp_version:$ocp_version') + + elasticsearch.withRefId('E') + + elasticsearch.withTimeField('timestamp'), + + //// + + + elasticsearch.withAlias('Memory Worker-1 (GB) [128GB]') + + + elasticsearch.withBucketAggs([ + elasticsearch.bucketAggs.Terms.withField('scale') + + elasticsearch.bucketAggs.Terms.withId('3') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('2') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + elasticsearch.withHide(false) + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('worker-1_Memory') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.settings.withScript('_value/1000000000') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + + elasticsearch.withQuery('scale:240 AND ocp_version:$ocp_version') + + elasticsearch.withRefId('G') + + elasticsearch.withTimeField('timestamp'), + + //// + + + + elasticsearch.withAlias('Memory Worker-2 (GB) [128GB]') + + + elasticsearch.withBucketAggs([ + elasticsearch.bucketAggs.Terms.withField('scale') + + elasticsearch.bucketAggs.Terms.withId('3') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('2') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + elasticsearch.withHide(false) + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('worker-2_Memory') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.settings.withScript('_value/1000000000') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + + elasticsearch.withQuery('scale:240 AND ocp_version:$ocp_version') + + elasticsearch.withRefId('H') + + elasticsearch.withTimeField('timestamp'), + + //// + + + + elasticsearch.withAlias('%CPU [240 cores]') + + + elasticsearch.withBucketAggs([ + elasticsearch.bucketAggs.Terms.withField('scale') + + elasticsearch.bucketAggs.Terms.withId('3') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('2') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + elasticsearch.withHide(false) + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('total_CPU') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withSettings({}) + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + + elasticsearch.withQuery('scale:240 AND ocp_version:$ocp_version') + + elasticsearch.withRefId('I') + + elasticsearch.withTimeField('timestamp'), + + //// + + + elasticsearch.withAlias('%CPU worker-0 [80 cores]') + + + elasticsearch.withBucketAggs([ + elasticsearch.bucketAggs.Terms.withField('scale') + + elasticsearch.bucketAggs.Terms.withId('3') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('2') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + elasticsearch.withHide(false) + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('worker-0_CPU') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withSettings({}) + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + + elasticsearch.withQuery('scale:240 AND ocp_version:$ocp_version') + + elasticsearch.withRefId('J') + + elasticsearch.withTimeField('timestamp'), + + //// + + + elasticsearch.withAlias('%CPU worker-1 [80 cores]') + + + elasticsearch.withBucketAggs([ + elasticsearch.bucketAggs.Terms.withField('scale') + + elasticsearch.bucketAggs.Terms.withId('3') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('2') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + elasticsearch.withHide(false) + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('worker-1_CPU') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withSettings({}) + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + + elasticsearch.withQuery('scale:240 AND ocp_version:$ocp_version') + + elasticsearch.withRefId('K') + + elasticsearch.withTimeField('timestamp'), + + //// + + elasticsearch.withAlias('%CPU worker-2 [80 cores]') + + + elasticsearch.withBucketAggs([ + elasticsearch.bucketAggs.Terms.withField('scale') + + elasticsearch.bucketAggs.Terms.withId('3') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('2') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + elasticsearch.withHide(false) + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('worker-2_CPU') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withSettings({}) + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + + elasticsearch.withQuery('scale:240 AND ocp_version:$ocp_version') + + elasticsearch.withRefId('L') + + elasticsearch.withTimeField('timestamp'), + + //// + + + elasticsearch.withAlias('VMs #') + + + elasticsearch.withBucketAggs([ + elasticsearch.bucketAggs.Terms.withField('scale') + + elasticsearch.bucketAggs.Terms.withId('3') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('2') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + elasticsearch.withHide(false) + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.UniqueCount.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.UniqueCount.withType('count') + + ]) + + + elasticsearch.withQuery('scale:240 AND ocp_version:$ocp_version') + + elasticsearch.withRefId('M') + + elasticsearch.withTimeField('timestamp') + + //// + + + + + + + + + + ]), + + //////////////////////// + + + g.panel.stateTimeline.new('120 Windows Server 2019 VMs virtio (Sec)') + + stateTimeline.queryOptions.withDatasource('Elasticsearch-windows-results') + + g.panel.stateTimeline.withDescription('Time till VM Login - Lower is better') + + + stateTimeline.standardOptions.color.withMode('thresholds') + + stateTimeline.fieldConfig.defaults.custom.withFillOpacity(77) + + stateTimeline.fieldConfig.defaults.custom.withLineWidth(0) + + + stateTimeline.fieldConfig.defaults.withDecimals(1) + + stateTimeline.fieldConfig.defaults.withMappings([ + stateTimeline.valueMapping.ValueMap.withOptions( + { + "0": { + "color": "transparent", + "index": 0, + "text": "." + } + } + ) + + stateTimeline.valueMapping.ValueMap.withType('value') + + ]) + + stateTimeline.standardOptions.withMax(-1) + + stateTimeline.fieldConfig.defaults.thresholds.withMode('percentage') + + stateTimeline.fieldConfig.defaults.thresholds.withSteps([ + stateTimeline.thresholdStep.withColor('dark-blue'), + + stateTimeline.thresholdStep.withColor('dark-green') + + stateTimeline.thresholdStep.withValue(1), + + stateTimeline.thresholdStep.withColor('super-light-green') + + stateTimeline.thresholdStep.withValue(10), + + stateTimeline.thresholdStep.withColor('semi-dark-orange') + + stateTimeline.thresholdStep.withValue(20), + + stateTimeline.thresholdStep.withColor('dark-red') + + stateTimeline.thresholdStep.withValue(50) + + ]) + + stateTimeline.standardOptions.withUnit('none') + + stateTimeline.fieldConfig.withOverrides([]) + + + stateTimeline.gridPos.withH(19) + + stateTimeline.gridPos.withW(24) + + stateTimeline.gridPos.withX(0) + + stateTimeline.gridPos.withY(206) + + + stateTimeline.withId(193) + + stateTimeline.withInterval('1d') + + + stateTimeline.panelOptions.withLinks([ + stateTimeline.link.withTargetBlank(true) + + stateTimeline.link.withTitle('artifacts link') + + stateTimeline.link.withUrl('https://grafana-perf-chmf5l4sh776bznl3b.ibm.rhperfscale.org/d/T4775LKnzzmichey/perfci-regression-summary?orgId=1&from=now-45d&to=now&viewPanel=194') + + ]) + + + stateTimeline.options.withAlignValue('center') + + stateTimeline.options.legend.withDisplayMode('hidden') + + stateTimeline.options.legend.withPlacement('bottom') + + stateTimeline.options.withMergeValues(value = false) + + stateTimeline.options.withRowHeight(value = 0.9) + + stateTimeline.options.withShowValue('always') + + stateTimeline.options.tooltip.withMode('single') + + + g.panel.stateTimeline.withTargets([ + elasticsearch.withAlias('Min') + + + elasticsearch.withBucketAggs([ + elasticsearch.bucketAggs.Terms.withField('scale') + + elasticsearch.bucketAggs.Terms.withId('3') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('2') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + elasticsearch.withHide(false) + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Min.withField('bootstorm_time') + + elasticsearch.metrics.MetricAggregationWithSettings.Min.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.Min.settings.withScript('_value/1000') + + elasticsearch.metrics.MetricAggregationWithSettings.Min.withType('min') + + ]) + + + elasticsearch.withQuery('scale:120 AND ocp_version:$ocp_version') + + elasticsearch.withRefId('A') + + elasticsearch.withTimeField('timestamp'), + + //// + + elasticsearch.withAlias('Max') + + + elasticsearch.withBucketAggs([ + elasticsearch.bucketAggs.Terms.withField('scale') + + elasticsearch.bucketAggs.Terms.withId('3') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('2') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + elasticsearch.withHide(false) + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('bootstorm_time') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.settings.withScript('_value/1000') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + + elasticsearch.withQuery('scale:120 AND ocp_version:$ocp_version') + + elasticsearch.withRefId('B') + + elasticsearch.withTimeField('timestamp'), + + //// + + + elasticsearch.withAlias('') + + + elasticsearch.withBucketAggs([ + elasticsearch.bucketAggs.Terms.withField('scale') + + elasticsearch.bucketAggs.Terms.withId('3') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('2') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + elasticsearch.withHide(false) + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Percentiles.withField('bootstorm_time') + + elasticsearch.metrics.MetricAggregationWithSettings.Percentiles.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.Percentiles.settings.withPercents(['25', '50', '75', '95', '99']) + + elasticsearch.metrics.MetricAggregationWithSettings.Percentiles.settings.withScript('_value/1000') + + elasticsearch.metrics.MetricAggregationWithSettings.Percentiles.withType('percentiles') + + ]) + + + elasticsearch.withQuery('scale:120 AND ocp_version:$ocp_version') + + elasticsearch.withRefId('C') + + elasticsearch.withTimeField('timestamp'), + + //// + + + elasticsearch.withAlias('AVG. 40 vms {{term node.keyword}}') + + + elasticsearch.withBucketAggs([ + elasticsearch.bucketAggs.Terms.withField('scale') + + elasticsearch.bucketAggs.Terms.withId('3') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.Terms.withField('node.keyword') + + elasticsearch.bucketAggs.Terms.withId('4') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('asc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('2') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + elasticsearch.withHide(false) + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Average.withField('bootstorm_time') + + elasticsearch.metrics.MetricAggregationWithSettings.Average.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.Average.settings.withScript('_value/1000') + + elasticsearch.metrics.MetricAggregationWithSettings.Average.withType('avg') + + ]) + + + elasticsearch.withQuery('scale:120 AND ocp_version:$ocp_version') + + elasticsearch.withRefId('D') + + elasticsearch.withTimeField('timestamp'), + + //// + + elasticsearch.withAlias('Memory(GB) [384GB]') + + + elasticsearch.withBucketAggs([ + elasticsearch.bucketAggs.Terms.withField('scale') + + elasticsearch.bucketAggs.Terms.withId('3') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('2') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + elasticsearch.withHide(false) + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('total_Memory') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.settings.withScript('_value/1000000000/2') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + + elasticsearch.withQuery('scale:120 AND ocp_version:$ocp_version') + + elasticsearch.withRefId('F') + + elasticsearch.withTimeField('timestamp'), + + //// + + elasticsearch.withAlias('Memory Worker-0 (GB) [128GB]') + + + elasticsearch.withBucketAggs([ + elasticsearch.bucketAggs.Terms.withField('scale') + + elasticsearch.bucketAggs.Terms.withId('3') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('2') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + elasticsearch.withHide(false) + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('worker-0_Memory') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.settings.withScript('_value/1000000000') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + + elasticsearch.withQuery('scale:240 AND ocp_version:$ocp_version') + + elasticsearch.withRefId('E') + + elasticsearch.withTimeField('timestamp'), + + //// + + + elasticsearch.withAlias('Memory Worker-1 (GB) [128GB]') + + + elasticsearch.withBucketAggs([ + elasticsearch.bucketAggs.Terms.withField('scale') + + elasticsearch.bucketAggs.Terms.withId('3') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('2') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + elasticsearch.withHide(false) + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('worker-1_Memory') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.settings.withScript('_value/1000000000/2') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + + elasticsearch.withQuery('scale:120 AND ocp_version:$ocp_version') + + elasticsearch.withRefId('G') + + elasticsearch.withTimeField('timestamp'), + + //// + + + + elasticsearch.withAlias('Memory Worker-2 (GB) [128GB]') + + + elasticsearch.withBucketAggs([ + elasticsearch.bucketAggs.Terms.withField('scale') + + elasticsearch.bucketAggs.Terms.withId('3') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('2') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + elasticsearch.withHide(false) + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('worker-2_Memory') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.settings.withScript('_value/1000000000/2') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + + elasticsearch.withQuery('scale:120 AND ocp_version:$ocp_version') + + elasticsearch.withRefId('H') + + elasticsearch.withTimeField('timestamp'), + + //// + + + + elasticsearch.withAlias('%CPU [240 cores]') + + + elasticsearch.withBucketAggs([ + elasticsearch.bucketAggs.Terms.withField('scale') + + elasticsearch.bucketAggs.Terms.withId('3') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('2') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + elasticsearch.withHide(false) + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('total_CPU') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withSettings({}) + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + + elasticsearch.withQuery('scale:120 AND ocp_version:$ocp_version') + + elasticsearch.withRefId('I') + + elasticsearch.withTimeField('timestamp'), + + //// + + + elasticsearch.withAlias('%CPU worker-0 [80 cores]') + + + elasticsearch.withBucketAggs([ + elasticsearch.bucketAggs.Terms.withField('scale') + + elasticsearch.bucketAggs.Terms.withId('3') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('2') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + elasticsearch.withHide(false) + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('worker-0_CPU') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withSettings({}) + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + + elasticsearch.withQuery('scale:120 AND ocp_version:$ocp_version') + + elasticsearch.withRefId('J') + + elasticsearch.withTimeField('timestamp'), + + //// + + + elasticsearch.withAlias('%CPU worker-1 [80 cores]') + + + elasticsearch.withBucketAggs([ + elasticsearch.bucketAggs.Terms.withField('scale') + + elasticsearch.bucketAggs.Terms.withId('3') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('2') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + elasticsearch.withHide(false) + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('worker-1_CPU') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withSettings({}) + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + + elasticsearch.withQuery('scale:120 AND ocp_version:$ocp_version') + + elasticsearch.withRefId('K') + + elasticsearch.withTimeField('timestamp'), + + //// + + elasticsearch.withAlias('%CPU worker-2 [80 cores]') + + + elasticsearch.withBucketAggs([ + elasticsearch.bucketAggs.Terms.withField('scale') + + elasticsearch.bucketAggs.Terms.withId('3') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('2') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + elasticsearch.withHide(false) + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('worker-2_CPU') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withSettings({}) + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + ]) + + + elasticsearch.withQuery('scale:120 AND ocp_version:$ocp_version') + + elasticsearch.withRefId('L') + + elasticsearch.withTimeField('timestamp'), + + //// + + + elasticsearch.withAlias('VMs #') + + + elasticsearch.withBucketAggs([ + elasticsearch.bucketAggs.Terms.withField('scale') + + elasticsearch.bucketAggs.Terms.withId('3') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('2') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + + + ]) + + + elasticsearch.withHide(false) + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.UniqueCount.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.UniqueCount.withType('count') + + ]) + + + elasticsearch.withQuery('scale:120 AND ocp_version:$ocp_version') + + elasticsearch.withRefId('M') + + elasticsearch.withTimeField('timestamp') + + //// + + + + + + + + + + ]) + + + + ]), + + + + g.panel.row.new("Artifacts") + + g.panel.row.withCollapsed(value=true) + + + g.panel.row.gridPos.withH(1) + + g.panel.row.gridPos.withW(24) + + g.panel.row.gridPos.withX(0) + + g.panel.row.gridPos.withY(21) + + + g.panel.row.withId(125) + + + g.panel.row.withPanels([ + g.panel.table.new("HammerDB artifacts") + + g.panel.table.queryOptions.withDatasource('Elasticsearch-hammerdb-results') + + g.panel.table.fieldConfig.defaults.thresholds.withMode('thresholds') + + + g.panel.table.panelOptions.withLinks([ + g.panel.table.link.withTargetBlank(true) + + g.panel.table.link.withTitle('link') + + g.panel.table.link.withUrl('${__data.fields[\'run_artifacts_url.keyword\']}') + + ]) + + + g.panel.table.fieldConfig.defaults.withMappings([]) + + g.panel.table.standardOptions.withMin(0) + + g.panel.table.fieldConfig.defaults.thresholds.withMode('percentage') + + g.panel.table.fieldConfig.defaults.thresholds.withSteps([ + g.panel.table.thresholdStep.withColor('semi-dark-red'), + + g.panel.table.thresholdStep.withColor('light-orange') + + g.panel.table.thresholdStep.withValue(50), + + g.panel.table.thresholdStep.withColor('super-light-green') + + g.panel.table.thresholdStep.withValue(80), + + g.panel.table.thresholdStep.withColor('dark-green') + + g.panel.table.thresholdStep.withValue(90), + + g.panel.table.thresholdStep.withColor('dark-blue') + + g.panel.table.thresholdStep.withValue(100) + + ]) + + g.panel.table.fieldConfig.withOverrides([ + g.panel.table.fieldOverride.byName.new('ci_date.keyword') + + g.panel.table.fieldOverride.byName.withProperty('custom.width',169) + + g.panel.table.fieldOverride.byName.withProperty('displayName','Date'), + + g.panel.table.fieldOverride.byName.new('db_type.keyword') + + g.panel.table.fieldOverride.byName.withProperty('custom.width',137) + + g.panel.table.fieldOverride.byName.withProperty('displayName','Database'), + + g.panel.table.fieldOverride.byName.new('current_worker') + + g.panel.table.fieldOverride.byName.withProperty('custom.width',134) + + g.panel.table.fieldOverride.byName.withProperty('displayName','Thread'), + + g.panel.table.fieldOverride.byName.new('kind.keyword') + + g.panel.table.fieldOverride.byName.withProperty('custom.width',159) + + g.panel.table.fieldOverride.byName.withProperty('displayName','Kind'), + + g.panel.table.fieldOverride.byName.new('run_artifacts_url.keyword') + + g.panel.table.fieldOverride.byName.withProperty('custom.width',1068) + + g.panel.table.fieldOverride.byName.withProperty('displayName','Artifacts Link'), + + g.panel.table.fieldOverride.byName.new('storage_type.keyword') + + g.panel.table.fieldOverride.byName.withProperty('displayName','Storage'), + + + + + ]) + + + g.panel.table.gridPos.withH(28) + + g.panel.table.gridPos.withW(24) + + g.panel.table.gridPos.withX(0) + + g.panel.table.gridPos.withY(22) + + + g.panel.table.withId(128) + + g.panel.table.queryOptions.withInterval('1d') + + g.panel.table.options.footer.TableFooterOptions.withFields('') + + g.panel.table.options.footer.TableFooterOptions.withReducer('sum') + + g.panel.table.options.footer.TableFooterOptions.withShow(false) + + g.panel.table.options.withShowHeader(true) + + g.panel.table.options.withSortBy([]) + + g.panel.table.withPluginVersion() + + + g.panel.stateTimeline.withTargets([ + elasticsearch.withAlias('') + + + elasticsearch.withBucketAggs([ + elasticsearch.bucketAggs.Terms.withField('ci_date.keyword') + + elasticsearch.bucketAggs.Terms.withId('6') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + + elasticsearch.bucketAggs.Terms.withField('db_type.keyword') + + elasticsearch.bucketAggs.Terms.withId('3') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('asc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + + elasticsearch.bucketAggs.Terms.withField('current_worker') + + elasticsearch.bucketAggs.Terms.withId('4') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('asc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + + elasticsearch.bucketAggs.Terms.withField('kind.keyword') + + elasticsearch.bucketAggs.Terms.withId('5') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('storage_type.keyword') + + elasticsearch.bucketAggs.DateHistogram.withId('2') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('run_artifacts_url.keyword') + + elasticsearch.bucketAggs.DateHistogram.withId('7') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms') + + + + + + ]) + + + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Max.withField('tpm') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.settings.withScript('_value/1000') + + elasticsearch.metrics.MetricAggregationWithSettings.Max.withType('max') + + + ]) + + elasticsearch.withQuery('_exists_:tpm AND db_type:$db_type AND current_worker:$current_worker AND kind:$kind') + + elasticsearch.withRefId('A') + + elasticsearch.withTimeField('timestamp') + ]), + + + + + + //////////////// + + + + + g.panel.table.new("Uperf artifacts") + + g.panel.table.queryOptions.withDatasource('Elasticsearch-uperf-results') + + g.panel.table.fieldConfig.defaults.thresholds.withMode('thresholds') + + g.panel.table.standardOptions.withDecimals(1) + + + g.panel.table.panelOptions.withLinks([ + g.panel.table.link.withTargetBlank(true) + + g.panel.table.link.withTitle('link') + + g.panel.table.link.withUrl('${__data.fields[\'run_artifacts_url.keyword\']}') + + ]) + + + g.panel.table.fieldConfig.defaults.withMappings([]) + + g.panel.table.standardOptions.withMin(0) + + g.panel.table.fieldConfig.defaults.thresholds.withMode('percentage') + + g.panel.table.fieldConfig.defaults.thresholds.withSteps([ + g.panel.table.thresholdStep.withColor('semi-dark-red'), + + g.panel.table.thresholdStep.withColor('light-orange') + + g.panel.table.thresholdStep.withValue(50), + + g.panel.table.thresholdStep.withColor('super-light-green') + + g.panel.table.thresholdStep.withValue(80), + + g.panel.table.thresholdStep.withColor('dark-green') + + g.panel.table.thresholdStep.withValue(90), + + g.panel.table.thresholdStep.withColor('dark-blue') + + g.panel.table.thresholdStep.withValue(100) + + ]) + + g.panel.table.fieldConfig.withOverrides([ + g.panel.table.fieldOverride.byName.new('ci_date.keyword') + + g.panel.table.fieldOverride.byName.withProperty('custom.width',169) + + g.panel.table.fieldOverride.byName.withProperty('displayName','Date'), + + g.panel.table.fieldOverride.byName.new('read_message_size') + + g.panel.table.fieldOverride.byName.withProperty('custom.width',167) + + g.panel.table.fieldOverride.byName.withProperty('displayName','Read Message Size'), + + g.panel.table.fieldOverride.byName.new('num_threads') + + g.panel.table.fieldOverride.byName.withProperty('custom.width',125) + + g.panel.table.fieldOverride.byName.withProperty('displayName','Thread'), + + g.panel.table.fieldOverride.byName.new('kind.keyword') + + g.panel.table.fieldOverride.byName.withProperty('custom.width',114) + + g.panel.table.fieldOverride.byName.withProperty('displayName','Kind'), + + g.panel.table.fieldOverride.byName.new('run_artifacts_url.keyword') + + g.panel.table.fieldOverride.byName.withProperty('custom.width',1068) + + g.panel.table.fieldOverride.byName.withProperty('displayName','Artifacts Link'), + + g.panel.table.fieldOverride.byName.new('Average') + + g.panel.table.fieldOverride.byName.withProperty('displayName','Average Gbits') + + + ]) + + + g.panel.table.gridPos.withH(15) + + g.panel.table.gridPos.withW(24) + + g.panel.table.gridPos.withX(0) + + g.panel.table.gridPos.withY(50) + + + g.panel.table.withId(129) + + g.panel.table.queryOptions.withInterval('1d') + + g.panel.table.options.footer.TableFooterOptions.withFields('') + + g.panel.table.options.footer.TableFooterOptions.withReducer('sum') + + g.panel.table.options.footer.TableFooterOptions.withShow(false) + + g.panel.table.options.withShowHeader(true) + + g.panel.table.options.withSortBy([]) + + g.panel.table.withPluginVersion() + + + g.panel.stateTimeline.withTargets([ + elasticsearch.withAlias('') + + + elasticsearch.withBucketAggs([ + elasticsearch.bucketAggs.Terms.withField('ci_date.keyword') + + elasticsearch.bucketAggs.Terms.withId('8') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('5') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + + elasticsearch.bucketAggs.Terms.withField('read_message_size') + + elasticsearch.bucketAggs.Terms.withId('4') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('asc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + + elasticsearch.bucketAggs.Terms.withField('num_threads') + + elasticsearch.bucketAggs.Terms.withId('5') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('asc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + + elasticsearch.bucketAggs.Terms.withField('kind.keyword') + + elasticsearch.bucketAggs.Terms.withId('6') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('run_artifacts_url.keyword') + + elasticsearch.bucketAggs.DateHistogram.withId('7') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms') + + ]) + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Average.withField('norm_byte') + + elasticsearch.metrics.MetricAggregationWithSettings.Average.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.Average.settings.withScript('_value*8/1000000000') + + elasticsearch.metrics.MetricAggregationWithSettings.Average.withType('avg') + + + ]) + + elasticsearch.withQuery('_exists_:norm_ops AND read_message_size:(64 OR 1024 OR 8192) AND num_threads:(1 OR 8) AND test_type:stream') + + elasticsearch.withRefId('A') + + elasticsearch.withTimeField('uperf_ts') + ]), + + + + + ////////////////////// + + g.panel.table.new("vdbench artifacts") + + g.panel.table.queryOptions.withDatasource('Elasticsearch-vdbench-results') + + g.panel.table.fieldConfig.defaults.thresholds.withMode('thresholds') + + g.panel.table.standardOptions.withDecimals(1) + + + g.panel.table.panelOptions.withLinks([ + g.panel.table.link.withTargetBlank(true) + + g.panel.table.link.withTitle('link') + + g.panel.table.link.withUrl('${__data.fields[\'run_artifacts_url.keyword\']}') + + ]) + + + g.panel.table.fieldConfig.defaults.withMappings([]) + + g.panel.table.standardOptions.withMin(0) + + g.panel.table.fieldConfig.defaults.thresholds.withMode('percentage') + + g.panel.table.fieldConfig.defaults.thresholds.withSteps([ + g.panel.table.thresholdStep.withColor('semi-dark-red'), + + g.panel.table.thresholdStep.withColor('light-orange') + + g.panel.table.thresholdStep.withValue(50), + + g.panel.table.thresholdStep.withColor('super-light-green') + + g.panel.table.thresholdStep.withValue(80), + + g.panel.table.thresholdStep.withColor('dark-green') + + g.panel.table.thresholdStep.withValue(90), + + g.panel.table.thresholdStep.withColor('dark-blue') + + g.panel.table.thresholdStep.withValue(100) + + ]) + + g.panel.table.fieldConfig.withOverrides([ + + g.panel.table.fieldOverride.byName.new('ci_date.keyword') + + g.panel.table.fieldOverride.byName.withProperty('custom.width',227) + + g.panel.table.fieldOverride.byName.withProperty('displayName','Date'), + + g.panel.table.fieldOverride.byName.new('kind.keyword') + + g.panel.table.fieldOverride.byName.withProperty('custom.width',100) + + g.panel.table.fieldOverride.byName.withProperty('displayName','Kind'), + + g.panel.table.fieldOverride.byName.new('run_artifacts_url.keyword') + + g.panel.table.fieldOverride.byName.withProperty('custom.width',1000) + + g.panel.table.fieldOverride.byName.withProperty('displayName','Artifacts Link'), + + g.panel.table.fieldOverride.byName.new('Average') + + g.panel.table.fieldOverride.byName.withProperty('displayName','Average Rate'), + + g.panel.table.fieldOverride.byName.new('Run.keyword') + + g.panel.table.fieldOverride.byName.withProperty('custom.width',140) + + g.panel.table.fieldOverride.byName.withProperty('displayName','Run'), + + g.panel.table.fieldOverride.byName.new('Threads') + + g.panel.table.fieldOverride.byName.withProperty('custom.width',100) + + g.panel.table.fieldOverride.byName.withProperty('displayName','Thread'), + + g.panel.table.fieldOverride.byName.new('Artifacts Link') + + g.panel.table.fieldOverride.byName.withProperty('custom.width',1521) + + + ]) + + + g.panel.table.gridPos.withH(10) + + g.panel.table.gridPos.withW(24) + + g.panel.table.gridPos.withX(0) + + g.panel.table.gridPos.withY(65) + + + g.panel.table.withId(133) + + g.panel.table.queryOptions.withInterval('1d') + + g.panel.table.options.footer.TableFooterOptions.withFields('') + + g.panel.table.options.footer.TableFooterOptions.withReducer('sum') + + g.panel.table.options.footer.TableFooterOptions.withShow(false) + + g.panel.table.options.withShowHeader(true) + + g.panel.table.options.withSortBy([]) + + g.panel.table.withPluginVersion() + + + g.panel.stateTimeline.withTargets([ + elasticsearch.withAlias('') + + + elasticsearch.withBucketAggs([ + elasticsearch.bucketAggs.Terms.withField('ci_date.keyword') + + elasticsearch.bucketAggs.Terms.withId('4') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('5') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + + elasticsearch.bucketAggs.Terms.withField('kind.keyword') + + elasticsearch.bucketAggs.Terms.withId('7') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('run_artifacts_url.keyword') + + elasticsearch.bucketAggs.DateHistogram.withId('8') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms') + + ]) + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Average.withField('Rate') + + elasticsearch.metrics.MetricAggregationWithSettings.Average.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.Average.withType('avg') + + + ]) + + elasticsearch.withQuery("!SCALE AND !Run.keyword='fillup'") + + elasticsearch.withRefId('A') + + elasticsearch.withTimeField('timestamp') + ]) + + + stateTimeline.withTransformations([ + stateTimeline.transformation.withId('organize') + + stateTimeline.transformation.withOptions({ + "excludeByName": { + "Average": true + }, + "indexByName": {}, + "renameByName": {} + }) + + + ]), + + ////////////////// + + g.panel.table.new("vdbench scale artifacts") + + g.panel.table.queryOptions.withDatasource('Elasticsearch-vdbench-results') + + g.panel.table.fieldConfig.defaults.thresholds.withMode('thresholds') + + g.panel.table.standardOptions.withDecimals(1) + + + g.panel.table.panelOptions.withLinks([ + g.panel.table.link.withTargetBlank(true) + + g.panel.table.link.withTitle('link') + + g.panel.table.link.withUrl('${__data.fields[\"run_artifacts_url.keyword\"]}') + + ]) + + + g.panel.table.fieldConfig.defaults.withMappings([]) + + g.panel.table.standardOptions.withMin(0) + + g.panel.table.fieldConfig.defaults.thresholds.withMode('percentage') + + g.panel.table.fieldConfig.defaults.thresholds.withSteps([ + g.panel.table.thresholdStep.withColor('semi-dark-red'), + + g.panel.table.thresholdStep.withColor('light-orange') + + g.panel.table.thresholdStep.withValue(50), + + g.panel.table.thresholdStep.withColor('super-light-green') + + g.panel.table.thresholdStep.withValue(80), + + g.panel.table.thresholdStep.withColor('dark-green') + + g.panel.table.thresholdStep.withValue(90), + + g.panel.table.thresholdStep.withColor('dark-blue') + + g.panel.table.thresholdStep.withValue(100) + + ]) + + g.panel.table.fieldConfig.withOverrides([ + + g.panel.table.fieldOverride.byName.new('ci_date.keyword') + + g.panel.table.fieldOverride.byName.withProperty('custom.width',227) + + g.panel.table.fieldOverride.byName.withProperty('displayName','Date'), + + g.panel.table.fieldOverride.byName.new('kind.keyword') + + g.panel.table.fieldOverride.byName.withProperty('custom.width',100) + + g.panel.table.fieldOverride.byName.withProperty('displayName','Kind'), + + g.panel.table.fieldOverride.byName.new('run_artifacts_url.keyword') + + g.panel.table.fieldOverride.byName.withProperty('custom.width',1000) + + g.panel.table.fieldOverride.byName.withProperty('displayName','Artifacts Link'), + + g.panel.table.fieldOverride.byName.new('Average') + + g.panel.table.fieldOverride.byName.withProperty('displayName','Average Rate'), + + g.panel.table.fieldOverride.byName.new('Run.keyword') + + g.panel.table.fieldOverride.byName.withProperty('custom.width',140) + + g.panel.table.fieldOverride.byName.withProperty('displayName','Run'), + + g.panel.table.fieldOverride.byName.new('Threads') + + g.panel.table.fieldOverride.byName.withProperty('custom.width',100) + + g.panel.table.fieldOverride.byName.withProperty('displayName','Thread') + + + ]) + + + g.panel.table.gridPos.withH(10) + + g.panel.table.gridPos.withW(24) + + g.panel.table.gridPos.withX(0) + + g.panel.table.gridPos.withY(75) + + + g.panel.table.withId(195) + + g.panel.table.queryOptions.withInterval('1d') + + g.panel.table.options.footer.TableFooterOptions.withFields('') + + g.panel.table.options.footer.TableFooterOptions.withReducer('sum') + + g.panel.table.options.footer.TableFooterOptions.withShow(false) + + g.panel.table.options.withShowHeader(true) + + g.panel.table.options.sortBy.withDesc(true) + + g.panel.table.options.sortBy.withDesc('ci_date.keyword') + + + g.panel.table.withPluginVersion() + + + g.panel.stateTimeline.withTargets([ + elasticsearch.withAlias('') + + + elasticsearch.withBucketAggs([ + elasticsearch.bucketAggs.Terms.withField('ci_date.keyword') + + elasticsearch.bucketAggs.Terms.withId('4') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('5') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + + elasticsearch.bucketAggs.Terms.withField('Run.keyword') + + elasticsearch.bucketAggs.Terms.withId('5') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('Threads') + + elasticsearch.bucketAggs.DateHistogram.withId('6') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('kind.keyword') + + elasticsearch.bucketAggs.DateHistogram.withId('7') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('scale') + + elasticsearch.bucketAggs.DateHistogram.withId('8') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('run_artifacts_url.keyword') + + elasticsearch.bucketAggs.DateHistogram.withId('9') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + ]) + + elasticsearch.withHide(false) + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Average.withField('Rate') + + elasticsearch.metrics.MetricAggregationWithSettings.Average.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.Average.withType('avg') + + + ]) + + elasticsearch.withQuery("!Run.keyword='fillup'") + + elasticsearch.withRefId('A') + + elasticsearch.withTimeField('timestamp') + ]), + + + ////////////////// + + g.panel.table.new("clusterbuster artifacts") + + g.panel.table.queryOptions.withDatasource('Elasticsearch-clusterbuster-results') + + g.panel.table.fieldConfig.defaults.thresholds.withMode('thresholds') + + g.panel.table.standardOptions.withDecimals(1) + + + g.panel.table.panelOptions.withLinks([ + g.panel.table.link.withTargetBlank(true) + + g.panel.table.link.withTitle('link') + + g.panel.table.link.withUrl('${__data.fields[\"run_artifacts_url.keyword\"]}') + + ]) + + + g.panel.table.fieldConfig.defaults.withMappings([]) + + g.panel.table.standardOptions.withMin(0) + + g.panel.table.fieldConfig.defaults.thresholds.withMode('percentage') + + g.panel.table.fieldConfig.defaults.thresholds.withSteps([ + g.panel.table.thresholdStep.withColor('green'), + + g.panel.table.thresholdStep.withColor('red') + + g.panel.table.thresholdStep.withValue(80) + + ]) + + g.panel.table.fieldConfig.withOverrides([ + + g.panel.table.fieldOverride.byName.new('run_artifacts_url') + + g.panel.table.fieldOverride.byName.withProperty('custom.width',1600), + + g.panel.table.fieldOverride.byName.new('Date') + + g.panel.table.fieldOverride.byName.withProperty('custom.width',227) + + ]) + + + g.panel.table.gridPos.withH(6) + + g.panel.table.gridPos.withW(24) + + g.panel.table.gridPos.withX(0) + + g.panel.table.gridPos.withY(85) + + + g.panel.table.withId(150) + + g.panel.table.queryOptions.withInterval('1d') + + g.panel.table.options.footer.TableFooterOptions.withFields('') + + g.panel.table.options.footer.TableFooterOptions.withReducer('sum') + + g.panel.table.options.footer.TableFooterOptions.withShow(false) + + g.panel.table.options.withShowHeader(true) + + + g.panel.table.withPluginVersion() + + + g.panel.stateTimeline.withTargets([ + elasticsearch.withAlias('') + + + elasticsearch.withBucketAggs([ + elasticsearch.bucketAggs.Terms.withField('ci_date.keyword') + + elasticsearch.bucketAggs.Terms.withId('4') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('5') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + + elasticsearch.bucketAggs.Terms.withField('timestamp') + + elasticsearch.bucketAggs.Terms.withId('2') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('run_artifacts_url.keyword') + + elasticsearch.bucketAggs.DateHistogram.withId('3') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + ]) + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Average.withField('job_runtime') + + elasticsearch.metrics.MetricAggregationWithSettings.Average.withHide(false) + + elasticsearch.metrics.MetricAggregationWithSettings.Average.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.Average.withType('avg') + + + ]) + + elasticsearch.withQuery("") + + elasticsearch.withRefId('A') + + elasticsearch.withTimeField('timestamp') + ]) + + stateTimeline.withTransformations([ + stateTimeline.transformation.withId('organize') + + stateTimeline.transformation.withOptions({ + "excludeByName": { + "Average": true, + "_id": true, + "_index": true, + "_type": true, + "highlight": true, + "job_end": true, + "job_runtime": true, + "job_start": true, + "kata_version": true, + "openshift_version": true, + "result": true, + "run_host": true, + "sort": true, + "uuid": true + }, + "indexByName": { + "_id": 6, + "_index": 7, + "_type": 8, + "highlight": 9, + "job_end": 12, + "job_runtime": 10, + "job_start": 11, + "kata_version": 4, + "openshift_version": 3, + "result": 2, + "run_artifacts_url": 1, + "run_host": 5, + "sort": 13, + "timestamp": 0, + "uuid": 14 + }, + "renameByName": { + "Average": "Run time", + "run_artifacts_url": "Artifacts Link", + "run_artifacts_url.keyword": "Artifacts Link", + "timestamp": "Date" + } + }), + + + + + + + + ]), + + ////////////////// + + g.panel.table.new("clusterbuster release artifacts") + + g.panel.table.queryOptions.withDatasource('Elasticsearch-clusterbuster-release-results') + + g.panel.table.fieldConfig.defaults.thresholds.withMode('thresholds') + + g.panel.table.standardOptions.withDecimals(1) + + + g.panel.table.panelOptions.withLinks([ + g.panel.table.link.withTargetBlank(true) + + g.panel.table.link.withTitle('link') + + g.panel.table.link.withUrl('${__data.fields[\"run_artifacts_url.keyword\"]}') + + ]) + + + g.panel.table.fieldConfig.defaults.withMappings([]) + + g.panel.table.standardOptions.withMin(0) + + g.panel.table.fieldConfig.defaults.thresholds.withMode('percentage') + + g.panel.table.fieldConfig.defaults.thresholds.withSteps([ + g.panel.table.thresholdStep.withColor('green'), + + g.panel.table.thresholdStep.withColor('red') + + g.panel.table.thresholdStep.withValue(80) + + ]) + + g.panel.table.fieldConfig.withOverrides([ + + g.panel.table.fieldOverride.byName.new('run_artifacts_url') + + g.panel.table.fieldOverride.byName.withProperty('custom.width',1600), + + g.panel.table.fieldOverride.byName.new('Date') + + g.panel.table.fieldOverride.byName.withProperty('custom.width',227) + + + ]) + + + g.panel.table.gridPos.withH(6) + + g.panel.table.gridPos.withW(24) + + g.panel.table.gridPos.withX(0) + + g.panel.table.gridPos.withY(91) + + + g.panel.table.withId(166) + + g.panel.table.options.footer.TableFooterOptions.withFields('') + + g.panel.table.options.footer.TableFooterOptions.withReducer('sum') + + g.panel.table.options.footer.TableFooterOptions.withShow(false) + + g.panel.table.options.withShowHeader(true) + + + g.panel.table.withPluginVersion() + + + g.panel.stateTimeline.withTargets([ + elasticsearch.withAlias('') + + + elasticsearch.withBucketAggs([ + + elasticsearch.bucketAggs.Terms.withField('timestamp') + + elasticsearch.bucketAggs.Terms.withId('2') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('run_artifacts_url.keyword') + + elasticsearch.bucketAggs.DateHistogram.withId('3') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + ]) + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Average.withField('job_runtime') + + elasticsearch.metrics.MetricAggregationWithSettings.Average.withHide(false) + + elasticsearch.metrics.MetricAggregationWithSettings.Average.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.Average.withType('avg') + + + ]) + + elasticsearch.withQuery("") + + elasticsearch.withRefId('A') + + elasticsearch.withTimeField('timestamp') + ]) + + stateTimeline.withTransformations([ + stateTimeline.transformation.withId('organize') + + stateTimeline.transformation.withOptions({ + "excludeByName": { + "Average": true, + "_id": true, + "_index": true, + "_type": true, + "highlight": true, + "job_end": true, + "job_runtime": true, + "job_start": true, + "kata_version": true, + "openshift_version": true, + "result": true, + "run_host": true, + "sort": true, + "uuid": true + }, + "indexByName": { + "_id": 6, + "_index": 7, + "_type": 8, + "highlight": 9, + "job_end": 12, + "job_runtime": 10, + "job_start": 11, + "kata_version": 4, + "openshift_version": 3, + "result": 2, + "run_artifacts_url": 1, + "run_host": 5, + "sort": 13, + "timestamp": 0, + "uuid": 14 + }, + "renameByName": { + "Average": "Run time", + "run_artifacts_url": "Artifacts Link", + "run_artifacts_url.keyword": "Artifacts Link", + "timestamp": "Date" + } + }), + + + + + + + + ]), + + ////////////////// + + g.panel.table.new("bootstorm artifacts") + + g.panel.table.queryOptions.withDatasource('Elasticsearch-bootstorm-results') + + g.panel.table.fieldConfig.defaults.thresholds.withMode('thresholds') + + g.panel.table.standardOptions.withDecimals(1) + + + g.panel.table.panelOptions.withLinks([ + g.panel.table.link.withTargetBlank(true) + + g.panel.table.link.withTitle('link') + + g.panel.table.link.withUrl('${__data.fields[\"run_artifacts_url.keyword\"]}') + + ]) + + + g.panel.table.fieldConfig.defaults.withMappings([]) + + g.panel.table.standardOptions.withMin(0) + + g.panel.table.fieldConfig.defaults.thresholds.withMode('percentage') + + stateTimeline.fieldConfig.defaults.thresholds.withSteps([ + stateTimeline.thresholdStep.withColor('semi-dark-red'), + + stateTimeline.thresholdStep.withColor('light-orange') + + stateTimeline.thresholdStep.withValue(50), + + stateTimeline.thresholdStep.withColor('super-light-green') + + stateTimeline.thresholdStep.withValue(80), + + stateTimeline.thresholdStep.withColor('dark-green') + + stateTimeline.thresholdStep.withValue(90), + + stateTimeline.thresholdStep.withColor('dark-blue') + + stateTimeline.thresholdStep.withValue(100) + + ]) + + g.panel.table.fieldConfig.withOverrides([ + + g.panel.table.fieldOverride.byName.new('ci_date.keyword') + + g.panel.table.fieldOverride.byName.withProperty('custom.width',227) + + g.panel.table.fieldOverride.byName.withProperty('displayName','Date'), + + g.panel.table.fieldOverride.byName.new('kind.keyword') + + g.panel.table.fieldOverride.byName.withProperty('custom.width',100) + + g.panel.table.fieldOverride.byName.withProperty('displayName','Kind'), + + g.panel.table.fieldOverride.byName.new('run_artifacts_url.keyword') + + g.panel.table.fieldOverride.byName.withProperty('custom.width',1000) + + g.panel.table.fieldOverride.byName.withProperty('displayName','Artifacts Link'), + + g.panel.table.fieldOverride.byName.new('Average') + + g.panel.table.fieldOverride.byName.withProperty('displayName','Average Rate'), + + g.panel.table.fieldOverride.byName.new('Run.keyword') + + g.panel.table.fieldOverride.byName.withProperty('custom.width',140) + + g.panel.table.fieldOverride.byName.withProperty('displayName','Run'), + + g.panel.table.fieldOverride.byName.new('Threads') + + g.panel.table.fieldOverride.byName.withProperty('custom.width',100) + + g.panel.table.fieldOverride.byName.withProperty('displayName','Thread') + + + ]) + + + g.panel.table.gridPos.withH(5) + + g.panel.table.gridPos.withW(24) + + g.panel.table.gridPos.withX(0) + + g.panel.table.gridPos.withY(97) + + + g.panel.table.withId(190) + + g.panel.table.options.footer.TableFooterOptions.withFields('') + + g.panel.table.options.footer.TableFooterOptions.withReducer('sum') + + g.panel.table.options.footer.TableFooterOptions.withShow(false) + + g.panel.table.options.withShowHeader(true) + + g.panel.table.options.sortBy.withDesc(true) + + g.panel.table.options.sortBy.withDesc('ci_date.keyword') + + + g.panel.table.withPluginVersion() + + + g.panel.stateTimeline.withTargets([ + elasticsearch.withAlias('') + + + elasticsearch.withBucketAggs([ + + elasticsearch.bucketAggs.Terms.withField('ci_date.keyword') + + elasticsearch.bucketAggs.Terms.withId('8') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.Terms.withField('kind.keyword') + + elasticsearch.bucketAggs.Terms.withId('9') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.Terms.withField('scale') + + elasticsearch.bucketAggs.Terms.withId('100') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('run_artifacts_url.keyword') + + elasticsearch.bucketAggs.DateHistogram.withId('11') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + ]) + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Average.withField('Rate') + + elasticsearch.metrics.MetricAggregationWithSettings.Average.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.Average.withType('avg') + + + ]) + + elasticsearch.withQuery("scale:240") + + elasticsearch.withRefId('A') + + elasticsearch.withTimeField('timestamp') + ]) + + stateTimeline.withTransformations([ + stateTimeline.transformation.withId('organize') + + stateTimeline.transformation.withOptions({ + "excludeByName": { + "Average": true + }, + "indexByName": {}, + "renameByName": {} + }) + + + + + + + + ]), + + + ////////////////// + + g.panel.table.new("Windows artifacts") + + g.panel.table.queryOptions.withDatasource('Elasticsearch-windows-results') + + g.panel.table.fieldConfig.defaults.thresholds.withMode('thresholds') + + g.panel.table.standardOptions.withDecimals(1) + + + g.panel.table.panelOptions.withLinks([ + g.panel.table.link.withTargetBlank(true) + + g.panel.table.link.withTitle('link') + + g.panel.table.link.withUrl('${__data.fields[\"run_artifacts_url.keyword\"]}') + + ]) + + + g.panel.table.fieldConfig.defaults.withMappings([]) + + g.panel.table.standardOptions.withMin(0) + + g.panel.table.fieldConfig.defaults.thresholds.withMode('percentage') + + stateTimeline.fieldConfig.defaults.thresholds.withSteps([ + stateTimeline.thresholdStep.withColor('semi-dark-red'), + + stateTimeline.thresholdStep.withColor('light-orange') + + stateTimeline.thresholdStep.withValue(50), + + stateTimeline.thresholdStep.withColor('super-light-green') + + stateTimeline.thresholdStep.withValue(80), + + stateTimeline.thresholdStep.withColor('dark-green') + + stateTimeline.thresholdStep.withValue(90), + + stateTimeline.thresholdStep.withColor('dark-blue') + + stateTimeline.thresholdStep.withValue(100) + + ]) + + g.panel.table.fieldConfig.withOverrides([ + + g.panel.table.fieldOverride.byName.new('ci_date.keyword') + + g.panel.table.fieldOverride.byName.withProperty('custom.width',227) + + g.panel.table.fieldOverride.byName.withProperty('displayName','Date'), + + g.panel.table.fieldOverride.byName.new('kind.keyword') + + g.panel.table.fieldOverride.byName.withProperty('custom.width',100) + + g.panel.table.fieldOverride.byName.withProperty('displayName','Kind'), + + g.panel.table.fieldOverride.byName.new('run_artifacts_url.keyword') + + g.panel.table.fieldOverride.byName.withProperty('custom.width',1000) + + g.panel.table.fieldOverride.byName.withProperty('displayName','Artifacts Link'), + + g.panel.table.fieldOverride.byName.new('Average') + + g.panel.table.fieldOverride.byName.withProperty('displayName','Average Rate'), + + g.panel.table.fieldOverride.byName.new('Run.keyword') + + g.panel.table.fieldOverride.byName.withProperty('custom.width',140) + + g.panel.table.fieldOverride.byName.withProperty('displayName','Run'), + + g.panel.table.fieldOverride.byName.new('Threads') + + g.panel.table.fieldOverride.byName.withProperty('custom.width',100) + + g.panel.table.fieldOverride.byName.withProperty('displayName','Thread') + + ]) + + + g.panel.table.gridPos.withH(5) + + g.panel.table.gridPos.withW(24) + + g.panel.table.gridPos.withX(0) + + g.panel.table.gridPos.withY(102) + + + g.panel.table.withId(194) + + g.panel.table.withInterval('1d') + + + g.panel.table.options.footer.TableFooterOptions.withFields('') + + g.panel.table.options.footer.TableFooterOptions.withReducer('sum') + + g.panel.table.options.footer.TableFooterOptions.withShow(false) + + g.panel.table.options.withShowHeader(true) + + g.panel.table.options.sortBy.withDesc(true) + + g.panel.table.options.sortBy.withDesc('ci_date.keyword') + + + g.panel.table.withPluginVersion() + + + g.panel.stateTimeline.withTargets([ + elasticsearch.withAlias('') + + + elasticsearch.withBucketAggs([ + + elasticsearch.bucketAggs.Terms.withField('ci_date.keyword') + + elasticsearch.bucketAggs.Terms.withId('8') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.Terms.withField('kind.keyword') + + elasticsearch.bucketAggs.Terms.withId('9') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.Terms.withField('scale') + + elasticsearch.bucketAggs.Terms.withId('10') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + elasticsearch.bucketAggs.DateHistogram.withField('run_artifacts_url.keyword') + + elasticsearch.bucketAggs.DateHistogram.withId('11') + + elasticsearch.bucketAggs.Terms.settings.withMinDocCount('1') + + elasticsearch.bucketAggs.Terms.settings.withOrder('desc') + + elasticsearch.bucketAggs.Terms.settings.withOrderBy('_term') + + elasticsearch.bucketAggs.Terms.settings.withSize('10') + + elasticsearch.bucketAggs.Terms.withType('terms'), + + ]) + + + elasticsearch.withMetrics([ + elasticsearch.metrics.MetricAggregationWithSettings.Average.withField('Rate') + + elasticsearch.metrics.MetricAggregationWithSettings.Average.withId('1') + + elasticsearch.metrics.MetricAggregationWithSettings.Average.withType('avg') + + + ]) + + elasticsearch.withQuery("scale:120") + + elasticsearch.withRefId('A') + + elasticsearch.withTimeField('timestamp') + ]) + + stateTimeline.withTransformations([ + stateTimeline.transformation.withId('organize') + + stateTimeline.transformation.withOptions({ + "excludeByName": { + "Average": true + }, + "indexByName": {}, + "renameByName": {} + }) + + + + + + + + ]), + + ///////////// + + g.panel.text.new('') + + + g.panel.text.gridPos.withH(4) + + g.panel.text.gridPos.withW(5) + + g.panel.text.gridPos.withX(19) + + g.panel.text.gridPos.withY(107) + + + g.panel.text.withId('189') + + g.panel.text.withDatasource('Elasticsearch-ci-status') + + + g.panel.text.panelOptions.withLinks([ + g.panel.text.link.withTargetBlank(true) + + g.panel.text.link.withTitle('PerfCI') + + g.panel.text.link.withUrl('https://github.com/redhat-performance/benchmark-runner/actions') + + ]) + + + g.panel.text.options.withContent('![Cloud Governance](https://github.com/redhat-performance/benchmark-runner/blob/main/media/benchmark_runner.png?raw=true \"Tooltip Text\")\n') + + g.panel.text.options.withMode("markdown") + + + g.panel.text.withPluginVersion() + + + g.panel.text.withTargets([ + elasticsearch.withAlias('') + + + elasticsearch.withBucketAggs([ + elasticsearch.bucketAggs.DateHistogram.withField('timestamp') + + elasticsearch.bucketAggs.DateHistogram.withId('2') + + elasticsearch.bucketAggs.DateHistogram.settings.withInterval('auto') + + elasticsearch.bucketAggs.DateHistogram.withType('date_histogram') + ]) + + + + elasticsearch.withMetrics([ + elasticsearch.metrics.Count.withId('1') + + elasticsearch.metrics.Count.withType('count') + + ]) + + + elasticsearch.withQuery('') + + elasticsearch.withRefId('A') + + elasticsearch.withTimeField('timestamp') + + + ]), + + //////////////////////////////////////////// + + + + + + + ]) + + + + + + + + +]) diff --git a/benchmark_runner/grafana/update_grafana_dashboard.py b/benchmark_runner/grafana/update_grafana_dashboard.py new file mode 100644 index 000000000..55f6d1069 --- /dev/null +++ b/benchmark_runner/grafana/update_grafana_dashboard.py @@ -0,0 +1,13 @@ + +from benchmark_runner.common.grafana.grafana_operations import GrafanaOperations +from benchmark_runner.main.environment_variables import environment_variables + +# Update grafana perf dashboard +environment_variables_dict = environment_variables.environment_variables_dict +grafana_operations = GrafanaOperations(grafana_url=environment_variables_dict.get('grafana_url', ''), + grafana_api_key=environment_variables_dict.get('grafana_api_key', ''), + grafana_json_path=environment_variables_dict.get('grafana_json_path', '')) +# for debug: grafana_operations.fetch_all_dashboards() +grafana_operations.read_dashboard_json() +grafana_operations.increment_dashboard_version() +grafana_operations.override_dashboard() diff --git a/benchmark_runner/grafana/update_main_libsonnet_versions.py b/benchmark_runner/grafana/update_main_libsonnet_versions.py new file mode 100644 index 000000000..2ccfb9a18 --- /dev/null +++ b/benchmark_runner/grafana/update_main_libsonnet_versions.py @@ -0,0 +1,10 @@ + +from benchmark_runner.common.grafana.update_grafana_last_value_mappings import UpdateGrafanaLastValueMappings +from benchmark_runner.main.environment_variables import environment_variables + +# Update perf main.libsonnet with last versions +environment_variables_dict = environment_variables.environment_variables_dict +update_grafana_mappings_value = UpdateGrafanaLastValueMappings(main_libsonnet_path=environment_variables_dict.get('main_libsonnet_path', '')) +last_versions = update_grafana_mappings_value.get_last_elasticsearch_versions() +update_grafana_mappings_value.update_value_mappings_last_versions(last_versions=last_versions) +update_grafana_mappings_value.update_main_libsonnet() diff --git a/benchmark_runner/main/environment_variables.py b/benchmark_runner/main/environment_variables.py index 4626781fe..5eca70a53 100644 --- a/benchmark_runner/main/environment_variables.py +++ b/benchmark_runner/main/environment_variables.py @@ -193,6 +193,12 @@ def __init__(self): self._environment_variables_dict['bucket'] = EnvironmentVariables.get_env('IBM_BUCKET', '') self._environment_variables_dict['key'] = EnvironmentVariables.get_env('IBM_KEY', '') + # Grafana + self._environment_variables_dict['grafana_url'] = EnvironmentVariables.get_env('GRAFANA_URL', '') + self._environment_variables_dict['grafana_api_key'] = EnvironmentVariables.get_env('GRAFANA_API_KEY', '') + self._environment_variables_dict['grafana_json_path'] = EnvironmentVariables.get_env('GRAFANA_JSON_PATH', '') + self._environment_variables_dict['main_libsonnet_path'] = EnvironmentVariables.get_env('MAIN_LIBSONNET_PATH', '') + # Parameters below related to 'install_ocp()' # MANDATORY for OCP install: assisted installer version i.e. 'latest-4.11' or '4.11.16' : https://mirror.openshift.com/pub/openshift-v4/clients/ocp self._environment_variables_dict['install_ocp_version'] = EnvironmentVariables.get_env('INSTALL_OCP_VERSION', '') diff --git a/grafana/perf/PerfCI-Regression-Summary.json b/grafana/perf/PerfCI-Regression-Summary.json deleted file mode 100644 index 356630731..000000000 --- a/grafana/perf/PerfCI-Regression-Summary.json +++ /dev/null @@ -1,9084 +0,0 @@ -{ - "annotations": { - "list": [ - { - "builtIn": 1, - "datasource": "-- Grafana --", - "enable": true, - "hide": true, - "iconColor": "rgba(0, 211, 255, 1)", - "name": "Annotations & Alerts", - "target": { - "limit": 100, - "matchAny": false, - "tags": [], - "type": "dashboard" - }, - "type": "dashboard" - } - ] - }, - "editable": true, - "fiscalYearStartMonth": 0, - "graphTooltip": 0, - "id": 16, - "iteration": 1687460598233, - "links": [ - { - "asDropdown": false, - "icon": "info", - "includeVars": false, - "keepTime": false, - "tags": [], - "targetBlank": true, - "title": "Environment", - "tooltip": "", - "type": "link", - "url": "https://docs.google.com/spreadsheets/d/1eSOmyZKJ6f0RIHN0zJNnH-S2YrqrU0oyzp7PNSQvksE/edit#gid=0" - }, - { - "asDropdown": false, - "icon": "bolt", - "includeVars": false, - "keepTime": false, - "tags": [], - "targetBlank": true, - "title": "Issues", - "tooltip": "", - "type": "link", - "url": "https://docs.google.com/spreadsheets/d/1vZtg0Gj8IxKPGLWAkB4iD1O59u_WA4ky5P7gGX6xW3M/edit#gid=0" - }, - { - "asDropdown": false, - "icon": "cloud", - "includeVars": false, - "keepTime": false, - "tags": [], - "targetBlank": true, - "title": "Kibana", - "tooltip": "", - "type": "link", - "url": "https://kibana-perf-chmf841sh975bznl3b.ibm.rhperfscale.org" - }, - { - "asDropdown": false, - "icon": "dashboard", - "includeVars": false, - "keepTime": false, - "tags": [], - "targetBlank": false, - "title": "Func-Ci", - "tooltip": "", - "type": "link", - "url": "https://grafana-perf-chmf5l4sh776bznl3b.ibm.rhperfscale.org/d/1AZC4GxVz/funcci-regression-summary?orgId=1&from=now-45d&to=now" - }, - { - "asDropdown": false, - "icon": "cloud", - "includeVars": false, - "keepTime": false, - "tags": [], - "targetBlank": true, - "title": "LogsAnalyzer", - "tooltip": "LogsAnalyzer", - "type": "link", - "url": "https://jupyterlab-perf-chmf841sh776bznl3b.ibm.rhperfscale.org/lab/tree/templates" - } - ], - "liveNow": false, - "panels": [ - { - "gridPos": { - "h": 6, - "w": 5, - "x": 0, - "y": 0 - }, - "id": 188, - "options": { - "content": "\n

> 100% new peak

\n

90% - 100% of peak

\n

80% - 90% of peak

\n

50% - 80% of peak

\n

0% - 50% of peak

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"refresh": 2, - "regex": "", - "skipUrlSync": false, - "sort": 6, - "type": "query" - } - ] - }, - "time": { - "from": "now-45d", - "to": "now" - }, - "timepicker": {}, - "timezone": "", - "title": "PerfCI-Regression-Summary", - "uid": "T4775LKnzzmichey", - "version": 416, - "weekStart": "" -} \ No newline at end of file diff --git a/tests/integration/benchmark_runner/common/grafana/__init__.py b/tests/integration/benchmark_runner/common/grafana/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/tests/integration/benchmark_runner/common/grafana/test_grafana_operations.py b/tests/integration/benchmark_runner/common/grafana/test_grafana_operations.py new file mode 100644 index 000000000..de89eec87 --- /dev/null +++ b/tests/integration/benchmark_runner/common/grafana/test_grafana_operations.py @@ -0,0 +1,18 @@ + +from benchmark_runner.common.grafana.grafana_operations import GrafanaOperations +from tests.integration.benchmark_runner.test_environment_variables import * + + +def test_fetch_all_dashboards(): + """ + This method fetched all grafana dashboards + @return: + """ + if test_environment_variable.get('grafana_url'): + grafana_operations = GrafanaOperations(grafana_url=test_environment_variable.get('grafana_url', ''), + grafana_api_key=test_environment_variable.get('grafana_api_key', ''), + grafana_json=test_environment_variable.get('grafana_json', '')) + all_dashboards = grafana_operations.fetch_all_dashboards() + assert all_dashboards + else: + raise Exception('incorrect grafana url') diff --git a/tests/integration/benchmark_runner/test_environment_variables.py b/tests/integration/benchmark_runner/test_environment_variables.py index 181839ade..d997c81b1 100644 --- a/tests/integration/benchmark_runner/test_environment_variables.py +++ b/tests/integration/benchmark_runner/test_environment_variables.py @@ -23,6 +23,11 @@ def __get_test_environment_variable(): test_environment_variable['elasticsearch_password'] = EnvironmentVariables.get_env('ELASTICSEARCH_PASSWORD', '') test_environment_variable['timeout'] = int(EnvironmentVariables.get_env('TIMEOUT', '2000')) + # Grafana + test_environment_variable['grafana_url'] = EnvironmentVariables.get_env('GRAFANA_URL', '') + test_environment_variable['grafana_api_key'] = EnvironmentVariables.get_env('GRAFANA_API_KEY', '') + test_environment_variable['grafana_json'] = EnvironmentVariables.get_env('GRAFANA_JSON', '') + # end dynamic parameters - configure for local run ##################################################################################################