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https://issues.apache.org/jira/browse/SPARK-28050?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Dongjoon Hyun updated SPARK-28050:
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Affects Version/s: (was: 3.0.0)
3.1.0
> DataFrameWriter support insertInto a specific table partition
> -------------------------------------------------------------
>
> Key: SPARK-28050
> URL: https://issues.apache.org/jira/browse/SPARK-28050
> Project: Spark
> Issue Type: New Feature
> Components: SQL
> Affects Versions: 3.1.0
> Reporter: Leanken.Lin
> Priority: Minor
>
> {code:java}
> // Some comments here
> val ptTableName = "mc_test_pt_table"
> sql(s"CREATE TABLE ${ptTableName} (name STRING, num BIGINT) PARTITIONED BY
> (pt1 STRING, pt2 STRING)")
> val df = spark.sparkContext.parallelize(0 to 99, 2)
> .map(f =>
> {
> (s"name-$f", f)
> })
> .toDF("name", "num")
> // if i want to insert df into a specific partition
> // say pt1='2018',pt2='0601' current api does not supported
> // only with following work around
> df.createOrReplaceTempView(s"${ptTableName}_tmp_view")
> sql(s"insert into table ${ptTableName} partition (pt1='2018', pt2='0601')
> select * from ${ptTableName}_tmp_view")
> {code}
> Propose to have another API in DataframeWriter that can do somethink like:
> {code:java}
> df.write.insertInto(ptTableName, "pt1='2018',pt2='0601'")
> {code}
> we have a lot of this kind of scenario in our production env. providing a api
> like this will make us less painful.
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