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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2020/06/23 01:17:00 UTC
[jira] [Commented] (SPARK-32059) Nested Schema Pruning not Working
in Window Functions
[ https://issues.apache.org/jira/browse/SPARK-32059?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17142514#comment-17142514 ]
Apache Spark commented on SPARK-32059:
--------------------------------------
User 'frankyin-factual' has created a pull request for this issue:
https://github.com/apache/spark/pull/28898
> Nested Schema Pruning not Working in Window Functions
> -----------------------------------------------------
>
> Key: SPARK-32059
> URL: https://issues.apache.org/jira/browse/SPARK-32059
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 3.0.0
> Reporter: Frank Yin
> Priority: Major
>
> Using tables and data structures in `SchemaPruningSuite.scala`
>
> {code:java}
> // code placeholder
> case class FullName(first: String, middle: String, last: String)
> case class Company(name: String, address: String)
> case class Employer(id: Int, company: Company)
> case class Contact(
> id: Int,
> name: FullName,
> address: String,
> pets: Int,
> friends: Array[FullName] = Array.empty,
> relatives: Map[String, FullName] = Map.empty,
> employer: Employer = null,
> relations: Map[FullName, String] = Map.empty)
> case class Department(
> depId: Int,
> depName: String,
> contactId: Int,
> employer: Employer)
> {code}
>
> The query to run:
> {code:java}
> // code placeholder
> select a.name.first from (select row_number() over (partition by address order by id desc) as __rank, contacts.* from contacts) a where a.name.first = 'A' AND a.__rank = 1
> {code}
>
> The current physical plan:
> {code:java}
> // code placeholder
> == Physical Plan ==
> *(3) Project [name#46.first AS first#74]
> +- *(3) Filter (((isnotnull(name#46) AND isnotnull(__rank#71)) AND (name#46.first = A)) AND (__rank#71 = 1))
> +- Window [row_number() windowspecdefinition(address#47, id#45 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS __rank#71], [address#47], [id#45 DESC NULLS LAST]
> +- *(2) Sort [address#47 ASC NULLS FIRST, id#45 DESC NULLS LAST], false, 0
> +- Exchange hashpartitioning(address#47, 5), true, [id=#52]
> +- *(1) Project [id#45, name#46, address#47]
> +- FileScan parquet [id#45,name#46,address#47,p#53] Batched: false, DataFilters: [], Format: Parquet, Location: InMemoryFileIndex[file:/private/var/folders/_c/4r2j33dd14n9ldfc2xqyzs400000gn/T/spark-85d173af-42..., PartitionFilters: [], PushedFilters: [], ReadSchema: struct<id:int,name:struct<first:string,middle:string,last:string>,address:string>
> {code}
>
> The desired physical plan:
>
> {code:java}
> // code placeholder
> == Physical Plan ==
> *(3) Project [_gen_alias_77#77 AS first#74]
> +- *(3) Filter (((isnotnull(_gen_alias_77#77) AND isnotnull(__rank#71)) AND (_gen_alias_77#77 = A)) AND (__rank#71 = 1))
> +- Window [row_number() windowspecdefinition(address#47, id#45 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS __rank#71], [address#47], [id#45 DESC NULLS LAST]
> +- *(2) Sort [address#47 ASC NULLS FIRST, id#45 DESC NULLS LAST], false, 0
> +- Exchange hashpartitioning(address#47, 5), true, [id=#52]
> +- *(1) Project [id#45, name#46.first AS _gen_alias_77#77, address#47]
> +- FileScan parquet [id#45,name#46,address#47,p#53] Batched: false, DataFilters: [], Format: Parquet, Location: InMemoryFileIndex[file:/private/var/folders/_c/4r2j33dd14n9ldfc2xqyzs400000gn/T/spark-c64e0b29-d9..., PartitionFilters: [], PushedFilters: [], ReadSchema: struct<id:int,name:struct<first:string>,address:string>
> {code}
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