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jarīoth spark driver and executor need mysql driver on class path so specify
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In spark/conf/nf, you can also set and to the path of your MySql driver. Options.put("driver", ".jdbc.Driver") //hereĭataFrame jdbcDF = sqlContext.load("jdbc", options)
#Spark jdbc no suitable driver found drivers#
Have you updated your connector drivers to the most recent version? Also did you specify the driver class when you called load()? From what I can tell both c3p0 and the dataframe code both make use of the (which handles importing everything for you from what I can tell) so it should work just fine? If there is something that prevents the assembly method from working, what do I need to do to make this work? Ultimately what I'm wanting to know is, why is the job not capable of finding the driver when it should be packaged up with it? My other jobs never had this problem. SPARK_CLASSPATH=/path/where/mysql-connector-is.jar When I was running this locally I got around it by setting Jdbc:mysql:///myschema?user=user&password=password at So recently I started playing around with SparkSQL and realized it's much easier to simply take a dataframe and save it to a jdbc source with the new features in 1.3.0 This makes sure the JDBC connector is packaged up with the job. I've got several jobs where I was using c3p0 to setup connection pool information, broadcast that out, and then use foreachPartition on the RDD to then grab a connection, and insert the data into the database. No suitable driver found exception while working on Spark-JDBC program - scala So I've been using sbt with assembly to package all my dependencies into a single jar for my spark jobs.
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