You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Herman van Hovell (JIRA)" <ji...@apache.org> on 2016/12/09 19:24:59 UTC

[jira] [Updated] (SPARK-18799) Spark SQL expose interface for plug-gable parser extension

     [ https://issues.apache.org/jira/browse/SPARK-18799?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Herman van Hovell updated SPARK-18799:
--------------------------------------
    Target Version/s:   (was: 2.1.0)

> Spark SQL expose interface for plug-gable parser extension 
> -----------------------------------------------------------
>
>                 Key: SPARK-18799
>                 URL: https://issues.apache.org/jira/browse/SPARK-18799
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 2.0.0
>            Reporter: Jihong MA
>
> There used to be an interface to plug a parser extension through ParserDialect in HiveContext in all Spark 1.x version. Starting Spark 2.x release, Apache Spark moved to the new parser (Antlr4), there is no longer a way to extend the default SQL parser through SparkSession interface, however this is really a pain and hard to work around it when integrating other data source with Spark with extended support such as Insert, Update, Delete statement or any other data management statement. 
> It would be very nice to continue to expose an interface for parser extension to make data source integration easier and smoother. 



--
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