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Posted to issues@spark.apache.org by "liupengcheng (Jira)" <ji...@apache.org> on 2019/12/31 03:54:00 UTC

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

liupengcheng created SPARK-30394:
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             Summary: Skip collecting stats in DetermineTableStats rule when hive table is convertible to  datasource tables
                 Key: SPARK-30394
                 URL: https://issues.apache.org/jira/browse/SPARK-30394
             Project: Spark
          Issue Type: Improvement
          Components: SQL
    Affects Versions: 2.3.2, 3.0.0
            Reporter: liupengcheng


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 in some cases, acutually we can skip this if this hive table can be converted to datasource table(parquet etc.).

Before[SPARK-28573|https://issues.apache.org/jira/browse/SPARK-28573], the implementaion will update the CatalogTableStatistics, which will cause the improper stats 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.



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