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Posted to issues@spark.apache.org by "Xiao Li (JIRA)" <ji...@apache.org> on 2017/06/13 23:26:01 UTC
[jira] [Created] (SPARK-21085) Failed to read the table created by
Spark 2.1
Xiao Li created SPARK-21085:
-------------------------------
Summary: Failed to read the table created by Spark 2.1
Key: SPARK-21085
URL: https://issues.apache.org/jira/browse/SPARK-21085
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 2.2.0
Reporter: Xiao Li
Assignee: Xiao Li
Priority: Blocker
Spark 2.2 is unable to read the partitioned table created by Spark 2.1 when the table schema does not put the partitioning column at the end of the schema.
{noformat}
assert(partitionFields.map(_.name) == partitionColumnNames)
{noformat}
The codes are from the following files:
https://github.com/apache/spark/blob/master/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/catalog/interface.scala#L234-L236
When reading the table metadata from the metastore, we also need to reorder the columns.
assert(partitionFields.map(_.name) == partitionColumnNames)
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