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https://issues.apache.org/jira/browse/SPARK-26435?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan resolved SPARK-26435.
---------------------------------
Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 23376
[https://github.com/apache/spark/pull/23376]
> Support creating partitioned table using Hive CTAS by specifying partition
> column names
> ---------------------------------------------------------------------------------------
>
> Key: SPARK-26435
> URL: https://issues.apache.org/jira/browse/SPARK-26435
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 3.0.0
> Reporter: Liang-Chi Hsieh
> Assignee: Liang-Chi Hsieh
> Priority: Major
> Fix For: 3.0.0
>
>
> Spark SQL doesn't support creating partitioned table using Hive CTAS in SQL
> syntax. However it is supported by using DataFrameWriter API.
> {code}
> val df = Seq(("a", 1)).toDF("part", "id")
> df.write.format("hive").partitionBy("part").saveAsTable("t")
> {code}
> Hive begins to support this in newer version:
> https://issues.apache.org/jira/browse/HIVE-20241:
> {code}
> CREATE TABLE t PARTITIONED BY (part) AS SELECT 1 as id, "a" as part
> {code}
> To match DataFrameWriter API, we should this support to SQL syntax.
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