cfb1706eaa
### What changes were proposed in this pull request? Add optimizer rule PruneHiveTablePartitions pruning hive table partitions based on filters on partition columns. Doing so, the total size of pruned partitions may be small enough for broadcast join in JoinSelection strategy. ### Why are the changes needed? In JoinSelection strategy, spark use the "plan.stats.sizeInBytes" to decide whether the plan is suitable for broadcast join. Currently, "plan.stats.sizeInBytes" does not take "pruned partitions" into account, so it may miss some broadcast join and take sort-merge join instead, which will definitely impact join performance. This PR aim at taking "pruned partitions" into account for hive table in "plan.stats.sizeInBytes" and then improve performance by using broadcast join if possible. ### Does this PR introduce any user-facing change? no ### How was this patch tested? Added unit tests. This is based on #25919, credits should go to lianhuiwang and advancedxy. Closes #26805 from fuwhu/SPARK-15616. Authored-by: fuwhu <bestwwg@163.com> Signed-off-by: Wenchen Fan <wenchen@databricks.com> |
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| benchmarks | ||
| compatibility/src/test/scala/org/apache/spark/sql/hive/execution | ||
| src | ||
| pom.xml | ||