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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/07/06 21:29:11 UTC
[jira] [Assigned] (SPARK-16402) JDBC source: Implement save API
[ https://issues.apache.org/jira/browse/SPARK-16402?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-16402:
------------------------------------
Assignee: Apache Spark
> 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
> Assignee: Apache Spark
>
> 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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