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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2017/11/03 15:11:00 UTC
[jira] [Assigned] (SPARK-22437) jdbc write fails to set default
mode
[ https://issues.apache.org/jira/browse/SPARK-22437?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-22437:
------------------------------------
Assignee: Apache Spark
> jdbc write fails to set default mode
> ------------------------------------
>
> Key: SPARK-22437
> URL: https://issues.apache.org/jira/browse/SPARK-22437
> Project: Spark
> Issue Type: Bug
> Components: Java API
> Affects Versions: 2.2.0
> Environment: python3
> Reporter: Adrian Bridgett
> Assignee: Apache Spark
>
> With this bit of code:
> {code}
> df.write.jdbc(jdbc_url, table)
> {code}
> We see this error:
> {code}
> 09:54:22 2017-11-03 09:54:19,985 INFO File "/opt/spark220/python/lib/pyspark.zip/pyspark/sql/readwriter.py", line 820, in jdbc
> 09:54:22 2017-11-03 09:54:19,985 INFO File "/opt/spark220/python/lib/py4j-0.10.4-src.zip/py4j/java_gateway.py", line 1133, in __call__
> 09:54:22 2017-11-03 09:54:19,986 INFO File "/opt/spark220/python/lib/pyspark.zip/pyspark/sql/utils.py", line 63, in deco
> 09:54:22 2017-11-03 09:54:19,986 INFO File "/opt/spark220/python/lib/py4j-0.10.4-src.zip/py4j/protocol.py", line 319, in get_return_value
> 09:54:22 2017-11-03 09:54:19,987 INFO py4j.protocol.Py4JJavaError: An error occurred while calling o106.jdbc.
> 09:54:22 2017-11-03 09:54:19,987 INFO : scala.MatchError: null
> 09:54:22 2017-11-03 09:54:19,987 INFO at org.apache.spark.sql.execution.datasources.jdbc.JdbcRelationProvider.createRelation(JdbcRelationProvider.scala:62)
> 09:54:22 2017-11-03 09:54:19,987 INFO at org.apache.spark.sql.execution.datasources.DataSource.write(DataSource.scala:472)
> 09:54:22 2017-11-03 09:54:19,987 INFO at org.apache.spark.sql.execution.datasources.SaveIntoDataSourceCommand.run(SaveIntoDataSourceCommand.scala:48)
> ...
> {code}
> This seems to be that "mode" isn't correctly picking up the "error" default as listed in https://spark.apache.org/docs/latest/api/python/pyspark.sql.html#pyspark.sql.DataFrame
> Note that if it was erroring because of existing data it'd say "SaveMode: ErrorIfExists." as seen in ./sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JdbcRelationProvider.scala).
> Changing our code to this worked:
> {code}
> df.write.jdbc(jdbc_url, table, mode='append')
> {code}
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