Adrian Bridgett created SPARK-22437:
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Summary: 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
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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