Hi,
I build the master today and I was testing IR statistics on movielens
dataset (open up a PR in a bit)...
Right now in the master examples.MovieLensALS, case class Params extends
AbstractParam[Params]
On my localhost spark, if I run as follows it fails:
./bin/spark-submit --master spark://
tusca09lmlvt00c.uswin.ad.vzwcorp.com:7077 --jars
/Users/v606014/.m2/repository/com/github/scopt/scopt_2.10/3.2.0/scopt_2.10-3.2.0.jar
--total-executor-cores 4 --executor-memory 4g --driver-memory 1g --class
org.apache.spark.examples.mllib.MovieLensALS
./examples/target/spark-examples_2.10-1.2.0-SNAPSHOT.jar --kryo --lambda
0.065 hdfs://localhost:8020/sandbox/movielens/
2014-11-04 16:00:18.691 java[1811:1903] Unable to load realm mapping info
from SCDynamicStore
14/11/04 16:00:18 WARN NativeCodeLoader: Unable to load native-hadoop
library for your platform... using builtin-java classes where applicable
14/11/04 16:00:21 WARN TaskSetManager: Lost task 1.0 in stage 0.0 (TID 1,
tusca09lmlvt00c.uswin.ad.vzwcorp.com): java.io.InvalidClassException:
org.apache.spark.examples.mllib.MovieLensALS$Params; no valid constructor
java.io.ObjectStreamClass$ExceptionInfo.newInvalidClassException(ObjectStreamClass.java:150)
java.io.ObjectStreamClass.checkDeserialize(ObjectStreamClass.java:768)
java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1772)
java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1990)
java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1915)
java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798)
java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1990)
java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1915)
java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798)
java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1990)
java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1915)
java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798)
java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
java.io.ObjectInputStream.readObject(ObjectInputStream.java:370)
org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:62)
org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:87)
org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:57)
org.apache.spark.scheduler.Task.run(Task.scala:56)
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:186)
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
java.lang.Thread.run(Thread.java:745)
If I remove AbstractParams from examples.MovieLensALS and recompile then
code runs fine:
./bin/spark-submit --master spark://
tusca09lmlvt00c.uswin.ad.vzwcorp.com:7077 --jars
/Users/v606014/.m2/repository/com/github/scopt/scopt_2.10/3.2.0/scopt_2.10-3.2.0.jar
--total-executor-cores 4 --executor-memory 4g --driver-memory 1g --class
org.apache.spark.examples.mllib.MovieLensALS
./examples/target/spark-examples_2.10-1.2.0-SNAPSHOT.jar --kryo --lambda
0.065 hdfs://localhost:8020/sandbox/movielens/
2014-11-04 16:26:25.359 java[2892:1903] Unable to load realm mapping info
from SCDynamicStore
14/11/04 16:26:25 WARN NativeCodeLoader: Unable to load native-hadoop
library for your platform... using builtin-java classes where applicable
Got 1000209 ratings from 6040 users on 3706 movies.
Training: 800650, test: 199559.
Test RMSE = 0.8525220763317215.
14/11/04 16:26:41 ERROR ConnectionManager: Corresponding SendingConnection
to ConnectionManagerId(tusca09lmlvt00c.uswin.ad.vzwcorp.com,50749) not found
14/11/04 16:26:42 WARN ConnectionManager: All connections not cleaned up
Is this a known issue for mllib examples ? If there is no open JIRA for
this, I can open it up...
Thanks.
Deb
