[SPARK-32611] Querying ORC table in Spark3 using spark.sql.orc.impl=hive produces incorrect when timestamp is present in predicate

• Type: Bug
• Status: Resolved
• Priority: Major
• Resolution: Cannot Reproduce
• Affects Version/s: 3.0.0, 3.0.1
• Component/s: SQL
• Flags: Important
• Assignee: Unassigned
• Reporter: Sumeet
• Created: 13/Aug/20 18:57
• Updated: 17/Aug/20 05:40
• Resolved: 17/Aug/20 05:40

Description

How to reproduce this behavior?

• TZ="America/Los_Angeles" ./bin/spark-shell
• sql("set spark.sql.hive.convertMetastoreOrc=true")
• sql("set spark.sql.orc.impl=hive")
• sql("create table t_spark(col timestamp) stored as orc;")
• sql("insert into t_spark values (cast('2100-01-01 01:33:33.123America/Los_Angeles' as timestamp));")
• sql("select col, date_format(col, 'DD') from t_spark where col = cast('2100-01-01 01:33:33.123America/Los_Angeles' as timestamp);").show(false)
  This will return empty results, which is incorrect.
• sql("set spark.sql.orc.impl=native")
• sql("select col, date_format(col, 'DD') from t_spark where col = cast('2100-01-01 01:33:33.123America/Los_Angeles' as timestamp);").show(false)
  This will return 1 row, which is the expected output.

 

The above query using (True, hive) returns correct results if pushdown filters are turned off. 

• sql("set spark.sql.orc.filterPushdown=false")
• sql("select col, date_format(col, 'DD') from t_spark where col = cast('2100-01-01 01:33:33.123America/Los_Angeles' as timestamp);").show(false)
  This will return 1 row, which is the expected output.