Mrart opened a new pull request, #21527:
URL: https://github.com/apache/flink/pull/21527
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## What is the purpose of the change
In the case of large-scale start and stop jobs, constantly reading data from
etcd can cause a bottleneck in etcd performance. We can increase
resourceversion=0 in watch to reduce data read from etcd.
## Brief change log
- * Add withResourceVersion("0") in
Fabric8FlinkKubeClient#watchPodsAndDoCallback
## Verifying this change
Please make sure both new and modified tests in this PR follows the
conventions defined in our code quality guide:
https://flink.apache.org/contributing/code-style-and-quality-common.html#testing
*(Please pick either of the following options)*
This change is a trivial rework / code cleanup without any test coverage.
*(or)*
This change is already covered by existing tests, such as *(please describe
tests)*.
*(or)*
This change added tests and can be verified as follows:
*(example:)*
- *Added integration tests for end-to-end deployment with large payloads
(100MB)*
- *Extended integration test for recovery after master (JobManager)
failure*
- *Added test that validates that TaskInfo is transferred only once across
recoveries*
- *Manually verified the change by running a 4 node cluster with 2
JobManagers and 4 TaskManagers, a stateful streaming program, and killing one
JobManager and two TaskManagers during the execution, verifying that recovery
happens correctly.*
## Does this pull request potentially affect one of the following parts:
- Dependencies (does it add or upgrade a dependency): (no)
- The public API, i.e., is any changed class annotated with
`@Public(Evolving)`: ( no)
- The serializers: （no / don't)
- The runtime per-record code paths (performance sensitive): (no)
- Anything that affects deployment or recovery: JobManager (and its
components), Checkpointing, Kubernetes/Yarn, ZooKeeper: (no )
- The S3 file system connector: (no)
## Documentation
- Does this pull request introduce a new feature? (no)
- If yes, how is the feature documented? (not documented)
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