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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/02/11 10:49:11 UTC

[jira] [Commented] (SPARK-5738) [SQL] Reuse mutable row for each record at jsonStringToRow

    [ https://issues.apache.org/jira/browse/SPARK-5738?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14315906#comment-14315906 ] 

Apache Spark commented on SPARK-5738:
-------------------------------------

User 'yanbohappy' has created a pull request for this issue:
https://github.com/apache/spark/pull/4527

> [SQL] Reuse mutable row for each record at jsonStringToRow
> ----------------------------------------------------------
>
>                 Key: SPARK-5738
>                 URL: https://issues.apache.org/jira/browse/SPARK-5738
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 1.3.0
>            Reporter: Yanbo Liang
>
> Other table scan like operations include ParquetTableScan, HiveTableScan use a reusable mutable row for seralization to decrease garbage. We also make JSONRelation#buildScan() with this optimization.
> When serialize json string to row, reuse a mutable row for each record instead of creating a new one for every record. But every nested struct type in each record, we still need to create a new row for them.



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