[STRMHELP-230] Metric Collision#21060
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sethsaperstein-lyft wants to merge 41 commits into
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…dev-requirenment.txt
…conversion in TupleTypeInfo
Add `python_requires` to Flink setup.cfg
Translate version to be compatible with Java build
Copy Hive JAR into apache-flink-libraries build
update zk version to 3.5.6
Read/write JAR to lib directory
Use libpath in JAR
unlink the symlink
Revert unlinking before symlink
Stop explicitly calling out JAR
This reverts commit 365ffa8.
Revert "update zk version to 3.5.6"
[RTOP-645] [backport] Job and Execution status metrics
…sm is higher than partitions in KafkaSource Before this commit the enumerator signalled the leftover source readers without a partition to finish. This caused that checkpointing was not possible anymore because it is only supported if all tasks are running or FLIP-147 is enabled. This closes apache#17330
[STRMHELP-206] [FLINK-24347] [backport]
apache flink libraries version
* add getter for global watermark manager * DRY * DRY test * additional logging and feature flag * fix log * metric for isIdle * change noOp to updateLocalWatermark * remove unused import
* bump zk version * update to 3.5.10 * Commit for release 1.13-lyft202209211663788204 * try to make proper zk version available * Revert "Commit for release 1.13-lyft202209211663788204" This reverts commit c0fc93f. * Commit for release 1.13-lyft202209211663790698 * Revert "Commit for release 1.13-lyft202209211663790698" This reverts commit 086ef31. * change to flink 3.5.6
Unpin `cloudpickle` in Lyft 1.13 Release
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overview
Define gauge metric once during KinesisDataFetcher init to avoid reinstantiating and thus causing naming collision
What is the purpose of the change
(For example: This pull request makes task deployment go through the blob server, rather than through RPC. That way we avoid re-transferring them on each deployment (during recovery).)
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