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thomasgx commented on SPARK-42988: ---------------------------------- Use the same sql to execute on hive and spark, insert hive multi-level partition table, and find that in the stage of inserting partitions, hive is much faster than spark, and spark processes one file at a time during the processing process. What is the optimization in this place? What is the way, why not use the same move method as hive in spark > Spark Sql insert into hive table dynamic partitions slow > --------------------------------------------------------- > > Key: SPARK-42988 > URL: https://issues.apache.org/jira/browse/SPARK-42988 > Project: Spark > Issue Type: Question > Components: SQL > Affects Versions: 3.3.0 > Reporter: thomasgx > Priority: Major > -- This message was sent by Atlassian Jira (v8.20.10#820010) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org