I ran this with CDH 5.2 without a problem (sorry don't have 5.3 readily available at the moment):
$ HBASE='/opt/cloudera/parcels/CDH/lib/hbase/\*' $ spark-submit --driver-class-path $HBASE --conf "spark.executor.extraClassPath=$HBASE" --master yarn --class org.apache.spark.examples.HBaseTest /opt/cloudera/parcels/CDH/lib/spark/examples/lib/spark-examples-1.1.0-cdh5.2.2-SNAPSHOT-hadoop2.5.0-cdh5.2.2-SNAPSHOT.jar t1 Seems to me like you still have some wrong Spark build somewhere in your environment getting in the way. On Thu, Jan 8, 2015 at 4:15 PM, freedafeng <freedaf...@yahoo.com> wrote: > I ran the release spark in cdh5.3.0 but got the same error. Anyone tried to > run spark in cdh5.3.0 using its newAPIHadoopRDD? > > command: > spark-submit --master spark://master:7077 --jars > /opt/cloudera/parcels/CDH-5.3.0-1.cdh5.3.0.p0.30/jars/spark-examples-1.2.0-cdh5.3.0-hadoop2.5.0-cdh5.3.0.jar > ./sparkhbase.py > > Error. > > 2015-01-09 00:02:03,344 INFO [Thread-2-SendThread(master:2181)] > zookeeper.ClientCnxn (ClientCnxn.java:primeConnection(852)) - Socket > connection established to master/10.191.41.253:2181, initiating session > 2015-01-09 00:02:03,358 INFO [Thread-2-SendThread(master:2181)] > zookeeper.ClientCnxn (ClientCnxn.java:onConnected(1235)) - Session > establishment complete on server master/10.191.41.253:2181, sessionid = > 0x14acbdae7e60066, negotiated timeout = 60000 > Traceback (most recent call last): > File "/root/workspace/test/./sparkhbase.py", line 23, in <module> > conf=conf2) > File > "/opt/cloudera/parcels/CDH-5.3.0-1.cdh5.3.0.p0.30/lib/spark/python/pyspark/context.py", > line 530, in newAPIHadoopRDD > jconf, batchSize) > File > "/opt/cloudera/parcels/CDH-5.3.0-1.cdh5.3.0.p0.30/lib/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/java_gateway.py", > line 538, in __call__ > File > "/opt/cloudera/parcels/CDH-5.3.0-1.cdh5.3.0.p0.30/lib/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/protocol.py", > line 300, in get_return_value > py4j.protocol.Py4JJavaError: An error occurred while calling > z:org.apache.spark.api.python.PythonRDD.newAPIHadoopRDD. > : java.lang.IncompatibleClassChangeError: Found interface > org.apache.hadoop.mapreduce.JobContext, but class was expected > at > org.apache.hadoop.hbase.mapreduce.TableInputFormatBase.getSplits(TableInputFormatBase.java:158) > at > org.apache.spark.rdd.NewHadoopRDD.getPartitions(NewHadoopRDD.scala:98) > at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:205) > at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:203) > at scala.Option.getOrElse(Option.scala:120) > at org.apache.spark.rdd.RDD.partitions(RDD.scala:203) > at org.apache.spark.rdd.MappedRDD.getPartitions(MappedRDD.scala:28) > at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:205) > at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:203) > at scala.Option.getOrElse(Option.scala:120) > at org.apache.spark.rdd.RDD.partitions(RDD.scala:203) > at org.apache.spark.rdd.RDD.take(RDD.scala:1060) > at org.apache.spark.rdd.RDD.first(RDD.scala:1093) > at > org.apache.spark.api.python.SerDeUtil$.pairRDDToPython(SerDeUtil.scala:202) > at > org.apache.spark.api.python.PythonRDD$.newAPIHadoopRDD(PythonRDD.scala:500) > at > org.apache.spark.api.python.PythonRDD.newAPIHadoopRDD(PythonRDD.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 py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231) > at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:379) > at py4j.Gateway.invoke(Gateway.java:259) > at > py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133) > at py4j.commands.CallCommand.execute(CallCommand.java:79) > at py4j.GatewayConnection.run(GatewayConnection.java:207) > at java.lang.Thread.run(Thread.java:745) > > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/correct-best-way-to-install-custom-spark1-2-on-cdh5-3-0-tp21045p21047.html > Sent from the Apache Spark User List mailing list archive at Nabble.com. > > --------------------------------------------------------------------- > To unsubscribe, e-mail: user-unsubscr...@spark.apache.org > For additional commands, e-mail: user-h...@spark.apache.org > -- Marcelo --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
