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Posted to issues@spark.apache.org by "Maxim Gekk (Jira)" <ji...@apache.org> on 2020/12/06 09:14:00 UTC
[jira] [Created] (SPARK-33676) Require exact matched partition spec
to schema in ADD/DROP PARTITION
Maxim Gekk created SPARK-33676:
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Summary: Require exact matched partition spec to schema in ADD/DROP PARTITION
Key: SPARK-33676
URL: https://issues.apache.org/jira/browse/SPARK-33676
Project: Spark
Issue Type: Sub-task
Components: SQL
Affects Versions: 3.1.0
Reporter: Maxim Gekk
The V1 implementation of ALTER TABLE .. ADD/DROP PARTITION fails when the partition spec doesn't exactly match to the partition schema:
{code:sql}
ALTER TABLE tab1 ADD PARTITION (A='9')
Partition spec is invalid. The spec (a) must match the partition spec (a, b) defined in table '`dbx`.`tab1`';
org.apache.spark.sql.AnalysisException: Partition spec is invalid. The spec (a) must match the partition spec (a, b) defined in table '`dbx`.`tab1`';
at org.apache.spark.sql.catalyst.catalog.SessionCatalog.$anonfun$requireExactMatchedPartitionSpec$1(SessionCatalog.scala:1173)
at org.apache.spark.sql.catalyst.catalog.SessionCatalog.$anonfun$requireExactMatchedPartitionSpec$1$adapted(SessionCatalog.scala:1171)
at scala.collection.immutable.List.foreach(List.scala:392)
{code}
for a table partitioned by "a", "b" but the V2 implementation add the wrong partition silently.
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