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Marco Gaido commented on SPARK-25193: ------------------------------------- Well, this I think is HIVE-12505. So it would need to be fixed in the hive version which is shipped in Spark... > insert overwrite doesn't throw exception when drop old data fails > ----------------------------------------------------------------- > > Key: SPARK-25193 > URL: https://issues.apache.org/jira/browse/SPARK-25193 > Project: Spark > Issue Type: Bug > Components: Spark Core > Affects Versions: 2.2.0 > Reporter: chen xiao > Priority: Major > > dataframe.write.mode(SaveMode.Overwrite).insertInto(s"$databaseName.$tableName") > Insert overwrite mode will drop old data in hive table if there's old data. > But if data deleting fails, no exception will be thrown and the data folder > will be like: > hdfs://uxs_nbp/nba_score/dt=2018-08-15/seq_num=2/part-00000 > hdfs://uxs_nbp/nba_score/dt=2018-08-15/seq_num=2/part-000001534916642513. > Two copies of data will be kept. -- This message was sent by Atlassian JIRA (v7.6.3#76005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org