Bruce Robbins created SPARK-33098: ------------------------------------- Summary: Exception when using 'in' to compare a partition column to a literal with the wrong type Key: SPARK-33098 URL: https://issues.apache.org/jira/browse/SPARK-33098 Project: Spark Issue Type: Bug Components: SQL Affects Versions: 3.1.0 Reporter: Bruce Robbins
Comparing a partition column against a literal with the wrong type works if you use equality ('='). However, if you use 'in', you get: {noformat} MetaException(message:Filtering is supported only on partition keys of type string) {noformat} For example: {noformat} spark-sql> create table test (a int) partitioned by (b int) stored as parquet; Time taken: 0.323 seconds spark-sql> insert into test values (1, 1), (1, 2), (2, 2); 20/10/08 19:57:14 WARN log: Updating partition stats fast for: test 20/10/08 19:57:14 WARN log: Updating partition stats fast for: test 20/10/08 19:57:14 WARN log: Updated size to 418 20/10/08 19:57:14 WARN log: Updated size to 836 Time taken: 2.124 seconds spark-sql> -- this works, of course spark-sql> select * from test where b in (2); 1 2 2 2 Time taken: 0.13 seconds, Fetched 2 row(s) spark-sql> -- this also works (equals with wrong type) spark-sql> select * from test where b = '2'; 1 2 2 2 Time taken: 0.132 seconds, Fetched 2 row(s) spark-sql> -- this does not work (in with wrong type) spark-sql> select * from test where b in ('2'); 20/10/08 19:58:30 ERROR SparkSQLDriver: Failed in [select * from test where b in ('2')] java.lang.RuntimeException: Caught Hive MetaException attempting to get partition metadata by filter from Hive. You can set the Spark configuration setting spark.sql.hive.manageFilesourcePartitions to false to work around this problem, however this will result in degraded performance. Please report a bug: https://issues.apache.org/jira/browse/SPARK at org.apache.spark.sql.hive.client.Shim_v0_13.getPartitionsByFilter(HiveShim.scala:828) - - - Caused by: MetaException(message:Filtering is supported only on partition keys of type string) {noformat} -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org