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https://issues.apache.org/jira/browse/SPARK-25363?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16606720#comment-16606720
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Apache Spark commented on SPARK-25363:
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User 'viirya' has created a pull request for this issue:
https://github.com/apache/spark/pull/22357
> Schema pruning doesn't work if nested column is used in where clause
> --------------------------------------------------------------------
>
> Key: SPARK-25363
> URL: https://issues.apache.org/jira/browse/SPARK-25363
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.4.0
> Reporter: Liang-Chi Hsieh
> Assignee: Liang-Chi Hsieh
> Priority: Major
>
> Schema pruning doesn't work if nested column is used in where clause.
> For example,
> {code}
> sql("select name.first from contacts where name.first = 'David'")
> == Physical Plan ==
> *(1) Project [name#19.first AS first#40]
> +- *(1) Filter (isnotnull(name#19) && (name#19.first = David))
> +- *(1) FileScan parquet [name#19] Batched: false, Format: Parquet,
> PartitionFilters: [],
> PushedFilters: [IsNotNull(name)], ReadSchema:
> struct<name:struct<first:string,middle:string,last:string>>
> {code}
> In above query plan, the scan node reads the entire schema of `name` column.
> This issue is reported by:
> https://github.com/apache/spark/pull/21320#issuecomment-419290197
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