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Posted to issues@spark.apache.org by "Dongjoon Hyun (Jira)" <ji...@apache.org> on 2020/03/17 08:44:00 UTC
[jira] [Commented] (SPARK-29262) DataFrameWriter
insertIntoPartition function
[ https://issues.apache.org/jira/browse/SPARK-29262?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17060719#comment-17060719 ]
Dongjoon Hyun commented on SPARK-29262:
---------------------------------------
Hi, [~hzfeiwang]. Is this JIRA issue still valid?
> DataFrameWriter insertIntoPartition function
> --------------------------------------------
>
> Key: SPARK-29262
> URL: https://issues.apache.org/jira/browse/SPARK-29262
> Project: Spark
> Issue Type: New Feature
> Components: SQL
> Affects Versions: 3.0.0
> Reporter: feiwang
> Priority: Minor
>
> InsertIntoPartition is a useful function.
> For SQL statement, relative syntax.
> {code:java}
> insert overwrite table tbl_a partition(p1=v1,p2=v2,...,pn=vn) select ...
> {code}
> In the example above, I specify all the partition key value, so it must be a static partition overwrite, regardless whether enable dynamic partition overwrite.
> If we enable dynamic partition overwrite. For the sql below, it will only overwrite relative partition not whole table.
> If we disable dynamic partition overwrite, it will overwrite whole table.
> {code:java}
> insert overwrite table tbl_a partition(p1,p2,...,pn) select ...
> {code}
> As far as now, dataFrame does not support overwrite a specific partition.
> It means that, for a partitioned table, if we insert overwrite by using dataFrame with dynamic partition overwrite disabled, it will always overwrite whole table.
> So, we should support insertIntoPartition for dataFrameWriter.
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