Yes, am sure the system cant find the jar.. but how do I fix that... my submit command includes the jar:
/spark/bin/spark-submit --py-files /spark/pyspark_cassandra.py --jars /spark/pyspark-cassandra-0.1-SNAPSHOT.jar --driver-class-path /spark/pyspark-cassandra-0.1-SNAPSHOT.jar /spark/test2.py and the spark output seems to indicate it is handling it: 15/02/16 05:58:46 INFO SparkContext: Added JAR file:/spark/pyspark-cassandra-0.1-SNAPSHOT.jar at http://10.212.55.42:56642/jars/pyspark-cassandra-0.1-SNAPSHOT.jar with timestamp 1424066326632 I don't really know what else I could try.... any suggestions highly appreciated. Thanks, Mohamed. On Mon, Feb 16, 2015 at 4:04 PM, Davies Liu <dav...@databricks.com> wrote: > It seems that the jar for cassandra is not loaded, you should have > them in the classpath. > > On Mon, Feb 16, 2015 at 12:08 PM, Mohamed Lrhazi > <mohamed.lrh...@georgetown.edu> wrote: > > Hello all, > > > > Trying the example code from this package > > (https://github.com/Parsely/pyspark-cassandra) , I always get this > error... > > > > Can you see what I am doing wrong? from googling arounf it seems to be > that > > the jar is not found somehow... The spark log shows the JAR was > processed > > at least. > > > > Thank you so much. > > > > am using spark-1.2.1-bin-hadoop2.4.tgz > > > > test2.py is simply: > > > > from pyspark.context import SparkConf > > from pyspark_cassandra import CassandraSparkContext, saveToCassandra > > conf = SparkConf().setAppName("PySpark Cassandra Sample Driver") > > conf.set("spark.cassandra.connection.host", "devzero") > > sc = CassandraSparkContext(conf=conf) > > > > [root@devzero spark]# /usr/local/bin/docker-enter spark-master bash -c > > "/spark/bin/spark-submit --py-files /spark/pyspark_cassandra.py --jars > > /spark/pyspark-cassandra-0.1-SNAPSHOT.jar --driver-class-path > > /spark/pyspark-cassandra-0.1-SNAPSHOT.jar /spark/test2.py" > > ... > > 15/02/16 05:58:45 INFO Slf4jLogger: Slf4jLogger started > > 15/02/16 05:58:45 INFO Remoting: Starting remoting > > 15/02/16 05:58:45 INFO Remoting: Remoting started; listening on addresses > > :[akka.tcp://sparkDriver@devzero:38917] > > 15/02/16 05:58:45 INFO Utils: Successfully started service 'sparkDriver' > on > > port 38917. > > 15/02/16 05:58:45 INFO SparkEnv: Registering MapOutputTracker > > 15/02/16 05:58:45 INFO SparkEnv: Registering BlockManagerMaster > > 15/02/16 05:58:45 INFO DiskBlockManager: Created local directory at > > > /tmp/spark-6cdca68b-edec-4a31-b3c1-a7e9d60191e7/spark-0e977468-6e31-4bba-959a-135d9ebda193 > > 15/02/16 05:58:45 INFO MemoryStore: MemoryStore started with capacity > 265.4 > > MB > > 15/02/16 05:58:45 WARN NativeCodeLoader: Unable to load native-hadoop > > library for your platform... using builtin-java classes where applicable > > 15/02/16 05:58:46 INFO HttpFileServer: HTTP File server directory is > > > /tmp/spark-af61f7f5-7c0e-412c-8352-263338335fa5/spark-10b3891f-0321-44fe-ba60-1a8c102fd647 > > 15/02/16 05:58:46 INFO HttpServer: Starting HTTP Server > > 15/02/16 05:58:46 INFO Utils: Successfully started service 'HTTP file > > server' on port 56642. > > 15/02/16 05:58:46 INFO Utils: Successfully started service 'SparkUI' on > port > > 4040. > > 15/02/16 05:58:46 INFO SparkUI: Started SparkUI at http://devzero:4040 > > 15/02/16 05:58:46 INFO SparkContext: Added JAR > > file:/spark/pyspark-cassandra-0.1-SNAPSHOT.jar at > > http://10.212.55.42:56642/jars/pyspark-cassandra-0.1-SNAPSHOT.jar with > > timestamp 1424066326632 > > 15/02/16 05:58:46 INFO Utils: Copying /spark/test2.py to > > > /tmp/spark-e8cc013e-faae-4208-8bcd-0bb6c00b1b6c/spark-54f2c41d-ae35-4efd-860c-2e5c60979b4c/test2.py > > 15/02/16 05:58:46 INFO SparkContext: Added file file:/spark/test2.py at > > http://10.212.55.42:56642/files/test2.py with timestamp 1424066326633 > > 15/02/16 05:58:46 INFO Utils: Copying /spark/pyspark_cassandra.py to > > > /tmp/spark-e8cc013e-faae-4208-8bcd-0bb6c00b1b6c/spark-54f2c41d-ae35-4efd-860c-2e5c60979b4c/pyspark_cassandra.py > > 15/02/16 05:58:46 INFO SparkContext: Added file > > file:/spark/pyspark_cassandra.py at > > http://10.212.55.42:56642/files/pyspark_cassandra.py with timestamp > > 1424066326642 > > 15/02/16 05:58:46 INFO Executor: Starting executor ID <driver> on host > > localhost > > 15/02/16 05:58:46 INFO AkkaUtils: Connecting to HeartbeatReceiver: > > akka.tcp://sparkDriver@devzero:38917/user/HeartbeatReceiver > > 15/02/16 05:58:46 INFO NettyBlockTransferService: Server created on 32895 > > 15/02/16 05:58:46 INFO BlockManagerMaster: Trying to register > BlockManager > > 15/02/16 05:58:46 INFO BlockManagerMasterActor: Registering block manager > > localhost:32895 with 265.4 MB RAM, BlockManagerId(<driver>, localhost, > > 32895) > > 15/02/16 05:58:46 INFO BlockManagerMaster: Registered BlockManager > > 15/02/16 05:58:47 INFO SparkUI: Stopped Spark web UI at > http://devzero:4040 > > 15/02/16 05:58:47 INFO DAGScheduler: Stopping DAGScheduler > > 15/02/16 05:58:48 INFO MapOutputTrackerMasterActor: MapOutputTrackerActor > > stopped! > > 15/02/16 05:58:48 INFO MemoryStore: MemoryStore cleared > > 15/02/16 05:58:48 INFO BlockManager: BlockManager stopped > > 15/02/16 05:58:48 INFO BlockManagerMaster: BlockManagerMaster stopped > > 15/02/16 05:58:48 INFO SparkContext: Successfully stopped SparkContext > > 15/02/16 05:58:48 INFO RemoteActorRefProvider$RemotingTerminator: > Shutting > > down remote daemon. > > 15/02/16 05:58:48 INFO RemoteActorRefProvider$RemotingTerminator: Remote > > daemon shut down; proceeding with flushing remote transports. > > 15/02/16 05:58:48 INFO RemoteActorRefProvider$RemotingTerminator: > Remoting > > shut down. > > Traceback (most recent call last): > > File "/spark/test2.py", line 5, in <module> > > sc = CassandraSparkContext(conf=conf) > > File "/spark/python/pyspark/context.py", line 105, in __init__ > > conf, jsc) > > File "/spark/pyspark_cassandra.py", line 17, in _do_init > > self._jcsc = self._jvm.CassandraJavaUtil.javaFunctions(self._jsc) > > File "/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/java_gateway.py", > line > > 726, in __getattr__ > > py4j.protocol.Py4JError: Trying to call a package. > > > > >
