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https://issues.apache.org/jira/browse/SPARK-17636?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17148589#comment-17148589
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Apache Spark commented on SPARK-17636:
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User 'HyukjinKwon' has created a pull request for this issue:
https://github.com/apache/spark/pull/28955
> Parquet predicate pushdown for nested fields
> --------------------------------------------
>
> Key: SPARK-17636
> URL: https://issues.apache.org/jira/browse/SPARK-17636
> Project: Spark
> Issue Type: Sub-task
> Components: Spark Core, SQL
> Affects Versions: 1.6.2, 1.6.3, 2.0.2
> Reporter: Mitesh
> Assignee: DB Tsai
> Priority: Critical
> Fix For: 3.0.0
>
>
> There's a *PushedFilters* for a simple numeric field, but not for a numeric
> field inside a struct. Not sure if this is a Spark limitation because of
> Parquet, or only a Spark limitation.
> {noformat}
> scala> hc.read.parquet("s3a://some/parquet/file").select("day_timestamp",
> "sale_id")
> res5: org.apache.spark.sql.DataFrame = [day_timestamp:
> struct<timestamp:bigint,timezone:string>, sale_id: bigint]
> scala> res5.filter("sale_id > 4").queryExecution.executedPlan
> res9: org.apache.spark.sql.execution.SparkPlan =
> Filter[23814] [args=(sale_id#86324L >
> 4)][outPart=UnknownPartitioning(0)][outOrder=List()]
> +- Scan ParquetRelation[day_timestamp#86302,sale_id#86324L] InputPaths:
> s3a://some/parquet/file, PushedFilters: [GreaterThan(sale_id,4)]
> scala> res5.filter("day_timestamp.timestamp > 4").queryExecution.executedPlan
> res10: org.apache.spark.sql.execution.SparkPlan =
> Filter[23815] [args=(day_timestamp#86302.timestamp >
> 4)][outPart=UnknownPartitioning(0)][outOrder=List()]
> +- Scan ParquetRelation[day_timestamp#86302,sale_id#86324L] InputPaths:
> s3a://some/parquet/file
> {noformat}
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