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Posted to dev@mahout.apache.org by Apache Jenkins Server <je...@builds.apache.org> on 2015/01/22 18:35:05 UTC
Build failed in Jenkins: Mahout-Quality #2936
See <https://builds.apache.org/job/Mahout-Quality/2936/>
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[31m java.io.ObjectStreamClass.invokeReadObject(ObjectStreamClass.java:969)[0m
[31m java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1871)[0m
[31m java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1775)[0m
[31m java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1327)[0m
[31m java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1969)[0m
[31m java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1893)[0m
[31m java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1775)[0m
[31m java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1327)[0m
[31m java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1969)[0m
[31m java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1893)[0m
[31m java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1775)[0m
[31m java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1327)[0m
[31m java.io.ObjectInputStream.readObject(ObjectInputStream.java:349)[0m
[31m scala.collection.immutable.$colon$colon.readObject(List.scala:362)[0m
[31m sun.reflect.GeneratedMethodAccessor6.invoke(Unknown Source)[0m
[31m sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25)[0m
[31m java.lang.reflect.Method.invoke(Method.java:597)[0m
[31m java.io.ObjectStreamClass.invokeReadObject(ObjectStreamClass.java:969)[0m
[31m java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1871)[0m
[31m java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1775)[0m
[31m java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1327)[0m
[31m java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1969)[0m
[31m java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1893)[0m
[31m java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1775)[0m
[31m java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1327)[0m
[31m java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1969)[0m
[31m java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1893)[0m
[31m java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1775)[0m
[31m java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1327)[0m
[31m java.io.ObjectInputStream.readObject(ObjectInputStream.java:349)[0m
[31m org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:62)[0m
[31m org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:87)[0m
[31m org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:57)[0m
[31m org.apache.spark.scheduler.Task.run(Task.scala:54)[0m
[31m org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:177)[0m
[31m java.util.concurrent.ThreadPoolExecutor$Worker.runTask(ThreadPoolExecutor.java:895)[0m
[31m java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:918)[0m
[31m java.lang.Thread.run(Thread.java:662)[0m
[31mDriver stacktrace:[0m
[31m at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1185)[0m
[31m at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1174)[0m
[31m at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1173)[0m
[31m at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)[0m
[31m at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)[0m
[31m at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1173)[0m
[31m at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:688)[0m
[31m at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:688)[0m
[31m at scala.Option.foreach(Option.scala:236)[0m
[31m at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:688)[0m
[31m ...[0m
[32m- ItemSimilarityDriver write search engine output[0m
[32m- ItemSimilarityDriver recursive file discovery using filename patterns[0m
[32m- ItemSimilarityDriver, two input paths[0m
[32m- ItemSimilarityDriver, two inputs of different dimensions[0m
[32m- ItemSimilarityDriver cross similarity two separate items spaces[0m
[32m- A.t %*% B after changing row cardinality of A[0m
[32m- Changing row cardinality of an IndexedDataset[0m
[32m- ItemSimilarityDriver cross similarity two separate items spaces, missing rows in B[0m
[32mBlasSuite:[0m
AB' num partitions = 2.
{
2 => {0:50.0,1:74.0}
1 => {0:38.0,1:56.0}
0 => {0:26.0,1:38.0}
}
[32m- ABt[0m
[32m- A * B Hadamard[0m
[32m- A + B Elementwise[0m
[32m- A - B Elementwise[0m
[32m- A / B Elementwise[0m
{
0 => {0:5.0,1:8.0}
1 => {0:8.0,1:13.0}
}
{
0 => {0:5.0,1:8.0}
1 => {0:8.0,1:13.0}
}
[32m- AtA slim[0m
{
0 => {0:1.0,1:2.0,2:3.0}
1 => {0:2.0,1:3.0,2:4.0}
2 => {0:3.0,1:4.0,2:5.0}
}
[32m- At[0m
[32mSimilarityAnalysisSuite:[0m
[32m- cooccurrence [A'A], [B'A] boolbean data using LLR[0m
[32m- cooccurrence [A'A], [B'A] double data using LLR[0m
[32m- cooccurrence [A'A], [B'A] integer data using LLR[0m
[32m- cooccurrence two matrices with different number of columns[0m
[32m- LLR calc[0m
[32m- downsampling by number per row[0m
[32mClassifierStatsSparkTestSuite:[0m
[32m- testFullRunningAverageAndStdDev[0m
[32m- testBigFullRunningAverageAndStdDev[0m
[32m- testStddevFullRunningAverageAndStdDev[0m
[32m- testFullRunningAverage[0m
[32m- testFullRunningAveragCopyConstructor[0m
[32m- testInvertedRunningAverage[0m
[32m- testInvertedRunningAverageAndStdDev[0m
[32m- testBuild[0m
[32m- GetMatrix[0m
[32m- testPrecisionRecallAndF1ScoreAsScikitLearn[0m
[32mRLikeDrmOpsSuite:[0m
[32m- A.t[0m
{
1 => {0:25.0,1:39.0}
0 => {0:11.0,1:17.0}
}
{
1 => {0:25.0,1:39.0}
0 => {0:11.0,1:17.0}
}
[32m- C = A %*% B[0m
{
0 => {0:11.0,1:17.0}
1 => {0:25.0,1:39.0}
}
{
0 => {0:11.0,1:17.0}
1 => {0:25.0,1:39.0}
}
Q=
{
0 => {0:0.40273861426601687,1:-0.9153150324187648}
1 => {0:0.9153150324227656,1:0.40273861426427493}
}
[32m- C = A %*% B mapBlock {}[0m
[32m- C = A %*% B incompatible B keys[0m
[32m- Spark-specific C = At %*% B , join[0m
[32m- C = At %*% B , join, String-keyed[0m
[32m- C = At %*% B , zippable, String-keyed[0m
{
0 => {0:26.0,1:35.0,2:46.0,3:51.0}
1 => {0:50.0,1:69.0,2:92.0,3:105.0}
2 => {0:62.0,1:86.0,2:115.0,3:132.0}
3 => {0:74.0,1:103.0,2:138.0,3:159.0}
}
[32m- C = A %*% inCoreB[0m
{
0 => {0:26.0,1:35.0,2:46.0,3:51.0}
1 => {0:50.0,1:69.0,2:92.0,3:105.0}
2 => {0:62.0,1:86.0,2:115.0,3:132.0}
3 => {0:74.0,1:103.0,2:138.0,3:159.0}
}
[32m- C = inCoreA %*%: B[0m
[32m- C = A.t %*% A[0m
[32m- C = A.t %*% A fat non-graph[0m
[32m- C = A.t %*% A non-int key[0m
[32m- C = A + B[0m
A=
{
0 => {0:1.0,1:2.0,2:3.0}
1 => {0:3.0,1:4.0,2:5.0}
2 => {0:5.0,1:6.0,2:7.0}
}
B=
{
0 => {0:0.5625918622954826,1:0.16250130251592743,2:0.6805959347634635}
1 => {0:0.8054385840943862,1:0.27520293221645775,2:0.7885237287919397}
2 => {0:0.39860956093504263,1:9.191159177746044E-5,2:0.8758314953485127}
}
C=
{
0 => {0:1.5625918622954826,1:2.1625013025159276,2:3.6805959347634634}
1 => {0:3.8054385840943863,1:4.275202932216458,2:5.788523728791939}
2 => {0:5.398609560935043,1:6.0000919115917775,2:7.875831495348512}
}
[32m- C = A + B, identically partitioned[0m
[32m- C = A + B side test 1[0m
[32m- C = A + B side test 2[0m
[32m- C = A + B side test 3[0m
[32m- Ax[0m
[32m- A'x[0m
[32m- colSums, colMeans[0m
[32m- rowSums, rowMeans[0m
[32m- A.diagv[0m
[32m- numNonZeroElementsPerColumn[0m
[32m- C = A cbind B, cogroup[0m
[32m- C = A cbind B, zip[0m
[32m- B = A + 1.0[0m
[32m- C = A rbind B[0m
[32m- C = A rbind B, with empty[0m
[32m- scalarOps[0m
[32m- C = A + B missing rows[0m
[32m- C = cbind(A, B) with missing rows[0m
collected A =
{
0 => {0:1.0,1:2.0,2:3.0}
1 => {}
2 => {}
3 => {0:3.0,1:4.0,2:5.0}
}
collected B =
{
2 => {0:1.0,1:1.0,2:1.0}
1 => {0:1.0,1:1.0,2:1.0}
3 => {0:4.0,1:5.0,2:6.0}
0 => {0:2.0,1:3.0,2:4.0}
}
[32m- B = A + 1.0 missing rows[0m
[36mRun completed in 1 minute, 44 seconds.[0m
[36mTotal number of tests run: 89[0m
[36mSuites: completed 12, aborted 0[0m
[36mTests: succeeded 88, failed 1, canceled 0, ignored 1, pending 0[0m
[31m*** 1 TEST FAILED ***[0m
[INFO] ------------------------------------------------------------------------
[INFO] Reactor Summary:
[INFO]
[INFO] Mahout Build Tools ................................ SUCCESS [4.524s]
[INFO] Apache Mahout ..................................... SUCCESS [1.848s]
[INFO] Mahout Math ....................................... SUCCESS [2:09.768s]
[INFO] Mahout MapReduce Legacy ........................... SUCCESS [11:10.232s]
[INFO] Mahout Integration ................................ SUCCESS [1:33.875s]
[INFO] Mahout Examples ................................... SUCCESS [51.603s]
[INFO] Mahout Release Package ............................ SUCCESS [0.095s]
[INFO] Mahout Math Scala bindings ........................ SUCCESS [2:09.305s]
[INFO] Mahout Spark bindings ............................. FAILURE [2:26.680s]
[INFO] Mahout Spark bindings shell ....................... SKIPPED
[INFO] Mahout H2O backend ................................ SKIPPED
[INFO] ------------------------------------------------------------------------
[INFO] BUILD FAILURE
[INFO] ------------------------------------------------------------------------
[INFO] Total time: 20:30.724s
[INFO] Finished at: Thu Jan 22 17:35:21 UTC 2015
[INFO] Final Memory: 81M/459M
[INFO] ------------------------------------------------------------------------
[ERROR] Failed to execute goal org.scalatest:scalatest-maven-plugin:1.0-M2:test (test) on project mahout-spark_2.10: There are test failures -> [Help 1]
[ERROR]
[ERROR] To see the full stack trace of the errors, re-run Maven with the -e switch.
[ERROR] Re-run Maven using the -X switch to enable full debug logging.
[ERROR]
[ERROR] For more information about the errors and possible solutions, please read the following articles:
[ERROR] [Help 1] http://cwiki.apache.org/confluence/display/MAVEN/MojoFailureException
[ERROR]
[ERROR] After correcting the problems, you can resume the build with the command
[ERROR] mvn <goals> -rf :mahout-spark_2.10
Build step 'Invoke top-level Maven targets' marked build as failure
[PMD] Skipping publisher since build result is FAILURE
[TASKS] Skipping publisher since build result is FAILURE
Archiving artifacts
Sending artifact delta relative to Mahout-Quality #2935
Archived 72 artifacts
Archive block size is 32768
Received 3480 blocks and 26493479 bytes
Compression is 81.1%
Took 12 sec
Recording test results
Publishing Javadoc
Jenkins build is back to normal : Mahout-Quality #2937
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://builds.apache.org/job/Mahout-Quality/2937/>