JDBC Driver not found - On submitting to YARN from

Question

Trying to read all rows from a DB table and write the same to another empty target table. So when I issue the following command at the main node, it works as expected -

$./bin/spark-submit --class cs.TestJob_publisherstarget --driver-class-path ./lib/mysql-connector-java-5.1.35-bin.jar --jars ./lib/mysql-connector-java-5.1.35-bin.jar,./lib/univocity-parsers-1.5.6.jar,./lib/commons-csv-1.1.1-SNAPSHOT.jar ./lib/uber-ski-spark-job-0.0.1-SNAPSHOT.jar

(Where: uber-ski-spark-job-0.0.1-SNAPSHOT.jar is the packaged jar in ../spark/lib folder and cs.TestJob_publisherstarget is the class)

The above command works perfectly for the code and reads all rows from a table in MySQL and dumps all roes to target table, using the JDBC driver mentioned with --jars option.

Here is the issue:

Everything remaining the same as above, when I submit the same job to YARN, it fails with en exception indicating - can't find the driver

$./bin/spark-submit --verbose --class cs.TestJob_publisherstarget --master yarn-cluster --driver-class-path ./lib/mysql-connector-java-5.1.35-bin.jar --jars ./lib/mysql-connector-java-5.1.35-bin.jar ./lib/uber-ski-spark-job-0.0.1-SNAPSHOT.jar

Exception in YARN Console:

Error: application failed with exception
org.apache.spark.SparkException: Application finished with failed status
    at org.apache.spark.deploy.yarn.Client.run(Client.scala:625)
    at org.apache.spark.deploy.yarn.Client$.main(Client.scala:650)
    at org.apache.spark.deploy.yarn.Client.main(Client.scala)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:606)
    at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:577)
    at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:174)
    at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:197)
    at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:112)
    at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)

EXCEPTION AT LOG:

5/10/12 20:38:59 ERROR yarn.ApplicationMaster: User class threw exception: No suitable driver found for jdbc:mysql://localhost:3306/pubs?user=root&password=root
java.sql.SQLException: No suitable driver found for jdbc:mysql://localhost:3306/pubs?user=root&password=root
    at java.sql.DriverManager.getConnection(DriverManager.java:596)
    at java.sql.DriverManager.getConnection(DriverManager.java:187)
    at org.apache.spark.sql.jdbc.JDBCRDD$.resolveTable(JDBCRDD.scala:96)
    at org.apache.spark.sql.jdbc.JDBCRelation.<init>(JDBCRelation.scala:133)
    at org.apache.spark.sql.jdbc.DefaultSource.createRelation(JDBCRelation.scala:121)
    at org.apache.spark.sql.sources.ResolvedDataSource$.apply(ddl.scala:219)
    at org.apache.spark.sql.SQLContext.load(SQLContext.scala:697)
    at com.cambridgesemantics.application.sdi.compiler.spark.DataSource.getDataFrame(DataSource.scala:20)
    at cs.TestJob_publisherstarget$.main(TestJob_publisherstarget.scala:29)
    at cs.TestJob_publisherstarget.main(TestJob_publisherstarget.scala)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:606)
    at org.apache.spark.deploy.yarn.ApplicationMaster$$anon$2.run(ApplicationMaster.scala:484)
15/10/12 20:38:59 INFO yarn.ApplicationMaster: Final app status: FAILED, exitCode: 15, (reason: User class threw exception: No suitable driver found for jdbc:mysql://localhost:3306/pubs?user=root&password=root)

Anyway: Where am I supposed to put the JDBC driver jar file? I have copied it over to the lib of each child node, still no luck!

Answer 1

I was having the same issue, it was working in local mode but not in yarn-client.

I added to spark submit:

--conf "spark.executor.extraClassPath=/path/to/mysql-connector-java-5.1.34.jar

and that worked for me

Answer 2

For Spark 1.6, I have the issue to store DataFrame to Oracle by using org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils.saveTable

In yarn-cluster mode, I put these options in the submit script:

--conf "spark.driver.extraClassPath=$HOME/jdbc-11.2.0.3.0.jar" \
--conf "spark.executor.extraClassPath=$HOME/jdbc-11.2.0.3.0.jar" \

I also have to put Class.forName("..") like below before the saving line:

try {
   Class.forName("oracle.jdbc.OracleDriver");
                org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils.saveTable(ds, url, "RD_SPARK_DTL_INCL_HY ", p);
            } catch (Exception e) {....

Of course, you have to copy the lib to each node. Not pretty, but it works. Hope someone can come up better solution later.

I do strongly recommend to use this API -- amazingly convenient and fast.