[jira] [Commented] (SPARK-31026) Parquet predicate pushdown on columns with dots

2020-06-30 Thread Apache Spark (Jira)


[ 
https://issues.apache.org/jira/browse/SPARK-31026?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17148593#comment-17148593
 ] 

Apache Spark commented on SPARK-31026:
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User 'HyukjinKwon' has created a pull request for this issue:
https://github.com/apache/spark/pull/28955

> Parquet predicate pushdown on columns with dots
> ---
>
> Key: SPARK-31026
> URL: https://issues.apache.org/jira/browse/SPARK-31026
> Project: Spark
>  Issue Type: New Feature
>  Components: SQL
>Affects Versions: 3.1.0
>Reporter: DB Tsai
>Assignee: DB Tsai
>Priority: Major
> Fix For: 3.0.0
>
>
> Parquet predicate pushdown on columns with dots is disabled in -SPARK-20364- 
> due to Parquet's APIs don't support it. A new set of APIs is purposed in 
> PARQUET-1809 to generalize the support of nested cols which can address this 
> issue. This implementation will be merged into Spark repo first until we get 
> a new release from Parquet community.



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[jira] [Commented] (SPARK-31026) Parquet predicate pushdown on columns with dots

2020-06-30 Thread Apache Spark (Jira)


[ 
https://issues.apache.org/jira/browse/SPARK-31026?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17148590#comment-17148590
 ] 

Apache Spark commented on SPARK-31026:
--

User 'HyukjinKwon' has created a pull request for this issue:
https://github.com/apache/spark/pull/28955

> Parquet predicate pushdown on columns with dots
> ---
>
> Key: SPARK-31026
> URL: https://issues.apache.org/jira/browse/SPARK-31026
> Project: Spark
>  Issue Type: New Feature
>  Components: SQL
>Affects Versions: 3.1.0
>Reporter: DB Tsai
>Assignee: DB Tsai
>Priority: Major
> Fix For: 3.0.0
>
>
> Parquet predicate pushdown on columns with dots is disabled in -SPARK-20364- 
> due to Parquet's APIs don't support it. A new set of APIs is purposed in 
> PARQUET-1809 to generalize the support of nested cols which can address this 
> issue. This implementation will be merged into Spark repo first until we get 
> a new release from Parquet community.



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