Addresses leaks, perf degradation observed during testing. These were regressions from the original rfc-15 PoC implementation.
* Pass a single instance of HoodieTableMetadata everywhere
* Fix tests and add config for enabling metrics
- Removed special casing of assumeDatePartitioning inside FSUtils#getAllPartitionPaths()
- Consequently, IOException is never thrown and many files had to be adjusted
- More diligent handling of open file handles in metadata table
- Added config for controlling reuse of connections
- Added config for turning off fallback to listing, so we can see tests fail
- Changed all ipf listing code to cache/amortize the open/close for better performance
- Timelineserver also reuses connections, for better performance
- Without timelineserver, when metadata table is opened from executors, reuse is not allowed
- HoodieMetadataConfig passed into HoodieTableMetadata#create as argument.
- Fix TestHoodieBackedTableMetadata#testSync
* [HUDI-1479] Use HoodieEngineContext to parallelize fetching of partition paths
* Adding testClass for FileSystemBackedTableMetadata
Co-authored-by: Nishith Agarwal <nagarwal@uber.com>
* [HUDI-1481] add structured streaming and delta streamer clustering unit test
* [HUDI-1399] support a independent clustering spark job to asynchronously clustering
* [HUDI-1399] support a independent clustering spark job to asynchronously clustering
* [HUDI-1498] Read clustering plan from requested file for inflight instant (#2389)
* [HUDI-1399] support a independent clustering spark job with schedule generate instant time
Co-authored-by: satishkotha <satishkotha@uber.com>
* Added ability to pass in `properties` to payload methods, so they can perform table/record specific merges
* Added default methods so existing payload classes are backwards compatible.
* Adding DefaultHoodiePayload to honor ordering while merging two records
* Fixing default payload based on feedback
* Fix flaky MOR unit test
* Update Spark APIs to make it be compatible with both spark2 & spark3
* Refactor bulk insert v2 part to make Hudi be able to compile with Spark3
* Add spark3 profile to handle fasterxml & spark version
* Create hudi-spark-common module & refactor hudi-spark related modules
Co-authored-by: Wenning Ding <wenningd@amazon.com>
