You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2014/11/14 21:50:33 UTC
[jira] [Commented] (SPARK-4413) Parquet support through datasource
API
[ https://issues.apache.org/jira/browse/SPARK-4413?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14212805#comment-14212805 ]
Apache Spark commented on SPARK-4413:
-------------------------------------
User 'marmbrus' has created a pull request for this issue:
https://github.com/apache/spark/pull/3269
> Parquet support through datasource API
> --------------------------------------
>
> Key: SPARK-4413
> URL: https://issues.apache.org/jira/browse/SPARK-4413
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Reporter: Michael Armbrust
> Assignee: Michael Armbrust
> Priority: Critical
>
> Right now there are several issues with out parquet support. Specifically, the only way to access parquet files though pure SQL is by including Hive, which has the following issues
> - fairly verbose syntax
> - requires you to explicitly add partitions
> - does not support decimal types.
> - querying tables with many partitions results in metadata operations dominating the query time (even worse when reading from S3).
> It would be great to have better native support here though the new datasources API. Ideally once that is in place we can deprecate the existing ParquetRelation.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org