error when trying to save pyspark dataframe - apache-spark

Question

I have a python script using pyspark that runs fine when done thru jupyter. When run using spark-submit it for some reason crashes trying to save results with the line
df.write.format('jdbc').options(
url='jdbc:mysql://{0}/{1}?useServerPrepStmts=false&rewriteBatchedStatements=true'.format(\
output_server, output_db),\
driver='com.mysql.jdbc.Driver',\
dbtable=output_table,\
user='user',\
password='xxxx').mode('overwrite').save()
The error being :
Traceback (most recent call last):
File "/opt/spark-2.1.0-bin-hadoop2.7/sbin/test.py", line 381, in <module>
password='xxxx').mode('overwrite').save()
File "/opt/spark-2.1.0-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/sql/readwriter.py", line 548, in save
File "/opt/spark-2.1.0-bin-hadoop2.7/python/lib/py4j-0.10.4-src.zip/py4j/java_gateway.py", line 1133, in __call__
File "/opt/spark-2.1.0-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/sql/utils.py", line 63, in deco
if records_acum:
File "/opt/spark-2.1.0-bin-hadoop2.7/python/lib/py4j-0.10.4-src.zip/py4j/protocol.py", line 319, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling o55.save.
: java.lang.ClassNotFoundException: com.mysql.jdbc.Driver
at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
at org.apache.spark.sql.execution.datasources.jdbc.DriverRegistry$.register(DriverRegistry.scala:38)
at org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions$$anonfun$6.apply(JDBCOptions.scala:78)
at org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions$$anonfun$6.apply(JDBCOptions.scala:78)
at scala.Option.foreach(Option.scala:257)
at org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions.<init>(JDBCOptions.scala:78)
at org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions.<init>(JDBCOptions.scala:34)
at org.apache.spark.sql.execution.datasources.jdbc.JdbcRelationProvider.createRelation(JdbcRelationProvider.scala:53)
at org.apache.spark.sql.execution.datasources.DataSource.write(DataSource.scala:426)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:215)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:280)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:214)
at java.lang.Thread.run(Thread.java:745)
If I try to run this using
/opt/Spark/spark-2.2.0_hadoop-2.7/bin/spark-submit --packages mysql:mysql-connector-java:5.1.40 test.py
then the crash is avoided but the script never finishes, just hangs on the same df.save line. In case it isnt clear, I would like to run the script to completion, saving the data succesfully.

Answer 1

Try adding the driver class path to your spark-submit application.
/opt/Spark/spark-2.2.0_hadoop-2.7/bin/spark-submit --driver-class-path=path/to/mysqlconnector.jar test.py

Answer 2

I found the following
Add jars to a Spark Job - spark-submit it should help resolve your loading problem. Seems like the executor is not able to get the MySQL driver.