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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2020/08/11 10:10:00 UTC

[jira] [Commented] (SPARK-32352) Partially push down support data filter if it mixed in partition filters

    [ https://issues.apache.org/jira/browse/SPARK-32352?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17175432#comment-17175432 ] 

Apache Spark commented on SPARK-32352:
--------------------------------------

User 'AngersZhuuuu' has created a pull request for this issue:
https://github.com/apache/spark/pull/29406

> Partially push down support data filter if it mixed in partition filters 
> -------------------------------------------------------------------------
>
>                 Key: SPARK-32352
>                 URL: https://issues.apache.org/jira/browse/SPARK-32352
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 3.1.0
>            Reporter: Yuming Wang
>            Priority: Major
>
> We support partially push partition filters since SPARK-28169. We can also support partially push down data filters if it mixed in partition filters and data filters. For example:
> {code:scala}
> spark.sql(
>   s"""
>      |CREATE TABLE t(i INT, p STRING)
>      |USING parquet
>      |PARTITIONED BY (p)""".stripMargin)
> spark.range(0, 1000).selectExpr("id as col").createOrReplaceTempView("temp")
> for (part <- Seq(1, 2, 3, 4)) {
>   sql(s"""
>          |INSERT OVERWRITE TABLE t PARTITION (p='$part')
>          |SELECT col FROM temp""".stripMargin)
> }
> spark.sql("SELECT * FROM t WHERE  WHERE (p = '1' AND i = 1) OR (p = '2' and i = 2)").explain()
> {code}
> We can also push down {{ i = 1 or i = 2 }}.



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