diqiu50 opened a new pull request, #13615: URL: https://github.com/apache/gravitino/pull/13615
### What changes were proposed in this pull request? Upgrade Kyuubi Spark Hive connector from 1.11.0 to 1.12.0, add an integration test for dynamic partition pruning, and document the supported table formats. ### Why are the changes needed? Kyuubi 1.12.0 supports DPP in HiveScan, so partitioned Hive tables can be pruned at runtime. Fix: #13614 ### Does this PR introduce _any_ user-facing change? DPP applies to Hive tables read by the Hive SerDe reader. Parquet and ORC tables need `spark.sql.kyuubi.hive.connector.read.convertMetastoreParquet/Orc=false` to use DPP. ### How was this patch tested? - New IT `SparkHiveCatalogIT#testDynamicPartitionPruning` verifies only the matching partition is scanned, on Spark 3.5 and 4.0. - Existing Spark 3.5/4.0 Hive ITs and unit tests pass. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
