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Fix changelog and docs - mention removal of statsdExporter (#304)
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# Description

We missed documenting that the statsd-exporter is now part of the images.



Co-authored-by: Lars Francke <[email protected]>
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lfrancke and lfrancke committed Jul 25, 2023
1 parent 0c21907 commit 1cf554d
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4 changes: 3 additions & 1 deletion CHANGELOG.md
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Expand Up @@ -90,7 +90,9 @@
- `operator-rs` `0.27.1` -> `0.30.1` ([#208])
- `operator-rs` `0.30.1` -> `0.31.0` ([#216]).
- Updated stackable image versions ([#193]).
- [BREAKING] Use Product image selection instead of version. `spec.version` has been replaced by `spec.image` ([#206]).
- [BREAKING] Use Product image selection instead of version ([#206]).
- `spec.version` has been replaced by `spec.image`.
- `spec.statsdExporterVersion` has been removed, the statsd-exporter is now part of the images itself
- Fixed the RoleGroup `selector`. It was not used before. ([#208])
- Refactored LDAP related code to use new `LdapAuthenticationProvider` functionality ([#216])

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3 changes: 1 addition & 2 deletions docs/modules/airflow/pages/getting_started/first_steps.adoc
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Expand Up @@ -56,7 +56,6 @@ Where:

- `metadata.name` contains the name of the Airflow cluster
- the label of the Docker image provided by Stackable must be set in `spec.version`
- `spec.statsdExporterVersion` must contain the tag of a statsd-exporter Docker image in the Stackable repository.
- `spec.executor`: this setting determines how the cluster will run (for more information see https://airflow.apache.org/docs/apache-airflow/stable/executor/index.html#executor-types): the `CeleryExecutor`
is the recommended setting although `SequentialExecutor` (all jobs run in one process in series) and `LocalExecutor`
(whereby all jobs are run on one node, using whatever parallelism is possible) are also supported
Expand Down Expand Up @@ -159,4 +158,4 @@ include::example$getting_started/code/getting_started.sh[tag=check-dag]

== What's next

Look at the xref:usage-guide/index.adoc[] to find out more about configuring your Airflow cluster and loading your own DAG files.
Look at the xref:usage-guide/index.adoc[] to find out more about configuring your Airflow cluster and loading your own DAG files.

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