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Unable to connect Spark 2.0 via jdbc to Teradata 15.0

We are trying to read a teradata table from spark2.0 using jdbc using the following code :

import sys
spark_home = os.environ.get('SPARK_HOME', None)
sys.path.insert(0, os.path.join(spark_home, 'python/lib/py4j-0.10.1-src.zip'))
sys.path.insert(0, os.path.join(spark_home, 'python/lib/pyspark.zip'))
filename = os.path.join(spark_home, 'python/pyspark/shell.py')
print(os.environ.get('SPARK_HOME', None))
exec(compile(open(filename, "rb").read(), filename, 'exec'))
spark_release_file = spark_home + "/RELEASE"
if os.path.exists(spark_release_file) and "Spark 2" in open(spark_release_file).read():
    print("Spark is there.")
    argsstr= "--master yarn-client --deploy-mode cluster pyspark-shell --driver-class-path /path/to/teradata/terajdbc4.jar,/path/to/teradata/tdgssconfig.jar --driver-library-path /path/to/teradata/terajdbc4.jar,/path/to/teradata/tdgssconfig.jar --jars /path/to/teradata/terajdbc4.jar,/path/to/teradata/tdgssconfig.jar"
    pyspark_submit_args = os.environ.get("PYSPARK_SUBMIT_ARGS", argsstr)
    if not "pyspark-shell" in pyspark_submit_args: 
        pyspark_submit_args += " pyspark-shell"
    print(pyspark_submit_args)
    os.environ["PYSPARK_SUBMIT_ARGS"] = pyspark_submit_args
    os.environ["SPARK_SUBMIT_ARGS"] = pyspark_submit_args
from pyspark.sql import SQLContext
from pyspark import SparkConf, SparkContext
url = 'jdbc:teradata://teradata.server.com'
user='username'
password=''
driver = 'com.teradata.jdbc.TeraDriver'
dbtable_read = 'mi_temp.bd_test_spark_read'
sqlContext = SQLContext(sc)
df = sqlContext.read.format("jdbc").options(url=url, user=user, password=password, driver=driver, dbtable=dbtable_read).load()

We get the follwoing error :

Py4JJavaError: An error occurred while calling o48.load. : java.lang.ClassNotFoundException: com.teradata.jdbc.TeraDriver 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$.register(DriverRegistry.scala:38) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$anonfun$createConnectionFactory$1.apply(JdbcUtils.scala:49) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$anonfun$createConnectionFactory$1.apply(JdbcUtils.scala:49) at scala.Option.foreach(Option.scala:257) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.createConnectionFactory(JdbcUtils.scala:49) at org.apache.spark.sql.execution.datasources.jdbc.JDBCRDD$.resolveTable(JDBCRDD.scala:123) at org.apache.spark.sql.execution.datasources.jdbc.JDBCRelation.<init>(JDBCRelation.scala:117) at org.apache.spark.sql.execution.datasources.jdbc.JdbcRelationProvider.createRelation(JdbcRelationProvider.scala:53) at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:315) at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:149) at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:122) 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:237) at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357) at py4j.Gateway.invoke(Gateway.java:280) at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:128) at py4j.commands.CallCommand.execute(CallCommand.java:79) at py4j.GatewayConnection.run(GatewayConnection.java:211) at java.lang.Thread.run(Thread.java:745)

However the if we run the same code, via command line it works.

Can you please give us some pointers?

2 REPLIES 2

Explorer

Hi Anilkumar,

While submitting spark application , you need to pass your Teradata jdbc Driver jar file that with --jar option

Thanks

Vinod

Cloudera Employee

Hi,

 

Have you tried passing the Teradata jdbc Driver jar file that with --jar option and whether the issue got solved?

 

Please share the error messages if you are still facing the issue.

 

Thanks

AKR