hequn8128 opened a new pull request #11470: [FLINK-16671][python] Support for defining scopes and variables on Python metric group URL: https://github.com/apache/flink/pull/11470 ## What is the purpose of the change This pull request supports for defining scopes and variables on Python metric group, i.e., adding `get_metric_group()` on `FunctionContext`, adding `add_group`, `get_scope_components`, `get_all_variables` and `get_metric_identifier` in `MetricGroup`. ## Brief change log - Adds `get_metric_group()` on `FunctionContext` - Adds `add_group`, `get_scope_components`, `get_all_variables` and `get_metric_identifier` in `MetricGroup` - Adds `python.udf.metric.enabled` configuration to enable or disable metric for Python UDFs. ## Verifying this change This change added tests and can be verified as follows: - Adds tests in `testUDFProtoConstructedProperlyForSingleUDF` to verify the metric group proto info. - Adds test_metric to verify operations in Python MetricGroup. - Adds test_metric_it_case to verify metric group info which is passed from Java to Python ## 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) - The runtime per-record code paths (performance sensitive): (no) - Anything that affects deployment or recovery: JobManager (and its components), Checkpointing, Kubernetes/Yarn/Mesos, ZooKeeper: (no) - The S3 file system connector: (no) ## Documentation - Does this pull request introduce a new feature? (yes) - If yes, how is the feature documented? (PythonDocs, Note: more documentation will be added in [FLINK-16674](https://issues.apache.org/jira/browse/FLINK-16674))
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