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closes #17
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src/main/java/org/gradoop/benchmarks/grouping/KeyedGroupingBenchmark.java
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src/main/java/org/gradoop/benchmarks/tpgm/PatternMatchingBenchmark.java
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| /* | ||
| * Copyright © 2014 - 2021 Leipzig University (Database Research Group) | ||
| * | ||
| * Licensed under the Apache License, Version 2.0 (the "License"); | ||
| * you may not use this file except in compliance with the License. | ||
| * You may obtain a copy of the License at | ||
| * | ||
| * http://www.apache.org/licenses/LICENSE-2.0 | ||
| * | ||
| * Unless required by applicable law or agreed to in writing, software | ||
| * distributed under the License is distributed on an "AS IS" BASIS, | ||
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| * See the License for the specific language governing permissions and | ||
| * limitations under the License. | ||
| */ | ||
| package org.gradoop.benchmarks.tpgm; | ||
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||
| import org.apache.commons.cli.CommandLine; | ||
| import org.apache.flink.api.common.typeinfo.TypeHint; | ||
| import org.apache.flink.api.java.DataSet; | ||
| import org.apache.flink.api.java.ExecutionEnvironment; | ||
| import org.apache.flink.api.java.tuple.Tuple2; | ||
| import org.apache.flink.core.fs.FileSystem; | ||
| import org.gradoop.temporal.model.impl.TemporalGraph; | ||
| import org.gradoop.temporal.model.impl.TemporalGraphCollection; | ||
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|
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| import java.io.IOException; | ||
| import java.util.concurrent.TimeUnit; | ||
|
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| /** | ||
| * Dedicated program to benchmark the query operator on temporal data. | ||
| * The benchmark is expected to be executed on the LDBC data set. | ||
| */ | ||
| public class PatternMatchingBenchmark extends BaseTpgmBenchmark { | ||
| /** | ||
| * Main program to run the benchmark. Arguments are the available options. | ||
| * Example: {@code /path/to/flink run -c org.gradoop.benchmarks.tpgm.PatternMatchingBenchmark | ||
| * path/to/gradoop-benchmarks.jar -i hdfs:///graph -f indexed -o hdfs:///output -c results.csv} | ||
| * <p> | ||
| * It is advisable to use the {@link org.gradoop.temporal.io.impl.csv.indexed.TemporalIndexedCSVDataSource} | ||
| * for a better performance by using parameter {@code -f indexed}. | ||
| * | ||
| * @param args program arguments | ||
| * @throws Exception in case of an error | ||
| */ | ||
| public static void main(String[] args) throws Exception { | ||
| CommandLine cmd = parseArguments(args, PatternMatchingBenchmark.class.getName()); | ||
|
|
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| if (cmd == null) { | ||
| return; | ||
| } | ||
|
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| readBaseCMDArguments(cmd); | ||
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| TemporalGraph graph = readTemporalGraph(INPUT_PATH, INPUT_FORMAT); | ||
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| ExecutionEnvironment env = graph.getConfig().getExecutionEnvironment(); | ||
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| String query = "MATCH (p:person)-[l:likes]->(c:comment), (c)-[r:replyOf]->(po:post) " + | ||
| "WHERE l.val_from.after(Timestamp(2012-06-01)) AND " + | ||
| " l.val_from.before(Timestamp(2012-06-02)) AND " + | ||
| " c.val_from.after(Timestamp(2012-05-30)) AND " + | ||
| " c.val_from.before(Timestamp(2012-06-02)) AND " + | ||
| " po.val_from.after(Timestamp(2012-05-30)) AND " + | ||
| " po.val_from.before(Timestamp(2012-06-02))"; | ||
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| TemporalGraphCollection results = graph.temporalQuery(query); | ||
|
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| // only count the results and write it to a csv file | ||
| DataSet<Tuple2<String, Long>> sum = results.getGraphHeads() | ||
| .map(g -> new Tuple2<>("G", 1L)).returns(new TypeHint<Tuple2<String, Long>>() {}) | ||
| // group by the element type (V or E) | ||
| .groupBy(0) | ||
| // sum the values | ||
| .sum(1); | ||
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| sum.writeAsCsv(appendSeparator(OUTPUT_PATH) + "count.csv", FileSystem.WriteMode.OVERWRITE); | ||
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| env.execute(PatternMatchingBenchmark.class.getSimpleName() + " - P: " + env.getParallelism()); | ||
| writeCSV(env); | ||
| } | ||
|
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| /** | ||
| * Method to create and add lines to a csv-file | ||
| * | ||
| * @param env given ExecutionEnvironment | ||
| * @throws IOException exception during file writing | ||
| */ | ||
| private static void writeCSV(ExecutionEnvironment env) throws IOException { | ||
| String head = String.format("%s|%s|%s|%s", "Parallelism", "dataset", "format", "Runtime(s)"); | ||
| String tail = String.format("%s|%s|%s|%s", env.getParallelism(), INPUT_PATH, INPUT_FORMAT, | ||
| env.getLastJobExecutionResult().getNetRuntime(TimeUnit.SECONDS)); | ||
| writeToCSVFile(head, tail); | ||
| } | ||
| } |
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