Sumeet created SPARK-32611:
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Summary: Querying ORC table in Spark3 using
spark.sql.orc.impl=hive produces incorrect when timestamp is present in
predicate
Key: SPARK-32611
URL: https://issues.apache.org/jira/browse/SPARK-32611
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 3.0.0, 3.0.1
Reporter: Sumeet
*How to reproduce this behavior?*
* TZ="America/Los_Angeles" ./bin/spark-shell --conf
spark.sql.catalogImplementation=hive
* 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.*
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