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https://issues.apache.org/jira/browse/SPARK-16178?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Dongjoon Hyun closed SPARK-16178.
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Resolution: Won't Fix
> SQL - Hive writer should not require partition names to match table partitions
> ------------------------------------------------------------------------------
>
> Key: SPARK-16178
> URL: https://issues.apache.org/jira/browse/SPARK-16178
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Reporter: Ryan Blue
>
> SPARK-14459 added a check that the {{partition}} metadata on
> {{InsertIntoTable}} must match the table's partition column names. But if
> {{partitionBy}} is used to set up partition columns, those columns may not be
> named or the names may not match.
> For example:
> {code}
> // Tables:
> // CREATE TABLE src (id string, date int, hour int, timestamp bigint);
> // CREATE TABLE dest (id string, timestamp bigint, c1 string, c2 int)
> // PARTITIONED BY (utc_dateint int, utc_hour int);
> spark.table("src").write.partitionBy("date", "hour").insertInto("dest")
> {code}
> The call to partitionBy correctly places the date and hour columns at the end
> of the logical plan, but the names don't match the "utc_" prefix and the
> write fails. But the analyzer will verify the types and insert an {{Alias}}
> so the query is actually valid.
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