[SPARK-30394] Skip collecting stats in DetermineTableStats rule when hive table is convertible to datasource tables

• Type: Improvement
• Status: In Progress
• Priority: Major
• Resolution: Unresolved
• Affects Version/s: 3.1.0
• Component/s: SQL
• Assignee: Unassigned
• Reporter: liupengcheng
• Created: 31/Dec/19 03:53
• Updated: 30/Apr/20 16:48

Description

Currently, if `spark.sql.statistics.fallBackToHdfs` is enabled, then spark will scan hdfs files to collect table stats in `DetermineTableStats` rule. But this can be expensive and not accurate(only file size on disk, not accounting compression factor), acutually we can skip this if this hive table can be converted to datasource table(parquet etc.), and do better estimation in `HadoopFsRelation`.

BeforeSPARK-28573, the implementation will update the CatalogTableStatistics, which will cause the improper stats(for parquet, this size is greatly smaller than real size in memory) be used in joinSelection when the hive table can be convert to datasource table.

In our production environment, user's highly compressed parquet table can cause OOMs when doing `broadcastHashJoin` due to this improper stats.

Issue Links

• links to: GitHub Pull Request #27055