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https://issues.apache.org/jira/browse/SPARK-23500?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-23500:
------------------------------------

    Assignee: Apache Spark

> Filters on named_structs could be pushed into scans
> ---------------------------------------------------
>
>                 Key: SPARK-23500
>                 URL: https://issues.apache.org/jira/browse/SPARK-23500
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 2.3.0
>            Reporter: Henry Robinson
>            Assignee: Apache Spark
>            Priority: Major
>
> Simple filters on dataframes joined with {{joinWith()}} are missing an 
> opportunity to get pushed into the scan because they're written in terms of 
> {{named_struct}} that could be removed by the optimizer.
> Given the following simple query over two dataframes:
> {code:java}
> scala> val df = spark.read.parquet("one_million")
> df: org.apache.spark.sql.DataFrame = [id: bigint, id2: bigint]
> scala> val df2 = spark.read.parquet("one_million")
> df2: org.apache.spark.sql.DataFrame = [id: bigint, id2: bigint]
> scala> df.joinWith(df2, df2.col("id") === df.col("id2")).filter("_2.id > 
> 30").explain
> == Physical Plan ==
> *(2) BroadcastHashJoin [_1#94.id2], [_2#95.id], Inner, BuildRight
> :- *(2) Project [named_struct(id, id#0L, id2, id2#1L) AS _1#94]
> :  +- *(2) FileScan parquet [id#0L,id2#1L] Batched: true, Format: Parquet, 
> Location: InMemoryFileIndex[file:/Users/henry/src/spark/one_million], 
> PartitionFilters: [], PushedFilters: [], ReadSchema: 
> struct<id:bigint,id2:bigint>
> +- BroadcastExchange HashedRelationBroadcastMode(List(input[0, 
> struct<id:bigint,id2:bigint>, false].id))
>    +- *(1) Project [named_struct(id, id#90L, id2, id2#91L) AS _2#95]
>       +- *(1) Filter (named_struct(id, id#90L, id2, id2#91L).id > 30)
>          +- *(1) FileScan parquet [id#90L,id2#91L] Batched: true, Format: 
> Parquet, Location: 
> InMemoryFileIndex[file:/Users/henry/src/spark/one_million], PartitionFilters: 
> [], PushedFilters: [], ReadSchema: struct<id:bigint,id2:bigint>
> {code}
> Using {{joinWith}} means that the filter is placed on a {{named_struct}}, and 
> is then pushed down. When the filter is just above the scan, the 
> wrapping-and-projection of {{named_struct(id...).id}} is a no-op and could be 
> removed. Then the filter can be pushed down to Parquet.



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