[jira] [Resolved] (SPARK-5213) Pluggable SQL Parser Support

["Michael Armbrust (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-5213?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Michael Armbrust resolved SPARK-5213.
-------------------------------------
       Resolution: Fixed
    Fix Version/s: 1.4.0

Issue resolved by pull request 4015
[https://github.com/apache/spark/pull/4015]

> Pluggable SQL Parser Support
> ----------------------------
>
>                 Key: SPARK-5213
>                 URL: https://issues.apache.org/jira/browse/SPARK-5213
>             Project: Spark
>          Issue Type: New Feature
>          Components: SQL
>            Reporter: Cheng Hao
>             Fix For: 1.4.0
>
>
> Currently, the SQL Parser dialect is hard code in SQLContext, which is not easy to extend, we need the features like:
> bin/spark-sql --driver-class-path customizedSQL92.jar
> -- switch to "hiveql" dialect
>    spark-sql>SET spark.sql.dialect=hiveql;
>    spark-sql>SELECT * FROM src LIMIT 1;
> -- switch to "sql" dialect
>    spark-sql>SET spark.sql.dialect=sql;
>    spark-sql>SELECT * FROM src LIMIT 1;
> -- register the new SQL dialect
>    spark-sql> SET spark.sql.dialect.sql99=com.xxx.xxx.SQL99Dialect;
>    spark-sql> SET spark.sql.dialect=sql99;
>    spark-sql> SELECT * FROM src LIMIT 1;
> -- register the non-exist SQL dialect
>    spark-sql> SET spark.sql.dialect.sql92=NotExistedClass;
>    spark-sql> SET spark.sql.dialect=sql92;
>    spark-sql> SELECT * FROM src LIMIT 1;
> -- Exception will be thrown and switch to dialect "sql" (for SQLContext) or "hiveql" (for HiveContext)



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