[jira] [Commented] (SPARK-16402) JDBC source: Implement save API

["Apache Spark (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-16402?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15365150#comment-15365150 ] 

Apache Spark commented on SPARK-16402:
--------------------------------------

User 'gatorsmile' has created a pull request for this issue:
https://github.com/apache/spark/pull/14077

> JDBC source: Implement save API
> -------------------------------
>
>                 Key: SPARK-16402
>                 URL: https://issues.apache.org/jira/browse/SPARK-16402
>             Project: Spark
>          Issue Type: New Feature
>          Components: SQL
>    Affects Versions: 2.0.0
>            Reporter: Xiao Li
>
> Currently, we are unable to call the `save` API of `DataFrameWriter` when the source is JDBC. For example, 
> {noformat}
> df.write
>   .format("jdbc")
>   .option("url", url1)
>   .option("dbtable", "TEST.TRUNCATETEST")
>   .option("user", "testUser")
>   .option("password", "testPass")
>   .save() 
> {noformat}
> The error message users will get is like
> {noformat}
> org.apache.spark.sql.execution.datasources.jdbc.JdbcRelationProvider does not allow create table as select.
> java.lang.RuntimeException: org.apache.spark.sql.execution.datasources.jdbc.JdbcRelationProvider does not allow create table as select.
> {noformat}
> However, the `save` API is very common for all the data sources, like parquet.



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