Details for spark-master-test-sbt-hadoop-2.2 build #53

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Duration
210 minutes
Start time
2016-01-11 04:00:13 ()
Commit
3ab0138b0fe0f9208b4b476855294a7c729583b7
Executor
amp-jenkins-worker-07
Status
ABORTED

Failed tests

org.apache.spark.AccumulatorSuite: basic accumulation 10045 ms
org.apache.spark.AccumulatorSuite: value not assignable from tasks 10042 ms
org.apache.spark.AccumulatorSuite: add value to collection accumulators 10049 ms
org.apache.spark.AccumulatorSuite: value not readable in tasks 10050 ms
org.apache.spark.AccumulatorSuite: collection accumulators 10081 ms
org.apache.spark.AccumulatorSuite: localValue readable in tasks 10043 ms
org.apache.spark.AccumulatorSuite: garbage collection 10048 ms
org.apache.spark.AccumulatorSuite: internal accumulators in TaskContext 10083 ms
org.apache.spark.AccumulatorSuite: internal accumulators in a stage 10089 ms
org.apache.spark.AccumulatorSuite: internal accumulators in multiple stages 10049 ms
org.apache.spark.AccumulatorSuite: internal accumulators in fully resubmitted stages 10082 ms
org.apache.spark.AccumulatorSuite: internal accumulators in partially resubmitted stages 10070 ms
org.apache.spark.CacheManagerSuite: (It is not a test) 10039 ms
org.apache.spark.CheckpointSuite: (It is not a test) 10065 ms
org.apache.spark.ContextCleanerSuite: (It is not a test) 10039 ms
org.apache.spark.DistributedSuite: task throws not serializable exception 10039 ms
org.apache.spark.DistributedSuite: local-cluster format 10050 ms
org.apache.spark.DistributedSuite: simple groupByKey 10040 ms
org.apache.spark.DistributedSuite: groupByKey where map output sizes exceed maxMbInFlight 10047 ms
org.apache.spark.DistributedSuite: accumulators 10045 ms
org.apache.spark.DistributedSuite: broadcast variables 10043 ms
org.apache.spark.DistributedSuite: repeatedly failing task 10046 ms
org.apache.spark.DistributedSuite: repeatedly failing task that crashes JVM 10044 ms
org.apache.spark.DistributedSuite: caching 10033 ms
org.apache.spark.DistributedSuite: caching on disk 10048 ms
org.apache.spark.DistributedSuite: caching in memory, replicated 10039 ms
org.apache.spark.DistributedSuite: caching in memory, serialized, replicated 10057 ms
org.apache.spark.DistributedSuite: caching on disk, replicated 10061 ms
org.apache.spark.DistributedSuite: caching in memory and disk, replicated 10039 ms
org.apache.spark.DistributedSuite: caching in memory and disk, serialized, replicated 10062 ms
org.apache.spark.DistributedSuite: compute without caching when no partitions fit in memory 10068 ms
org.apache.spark.DistributedSuite: compute when only some partitions fit in memory 10091 ms
org.apache.spark.DistributedSuite: passing environment variables to cluster 10051 ms
org.apache.spark.DistributedSuite: recover from node failures 10043 ms
org.apache.spark.DistributedSuite: recover from repeated node failures during shuffle-map 10045 ms
org.apache.spark.DistributedSuite: recover from repeated node failures during shuffle-reduce 10048 ms
org.apache.spark.DistributedSuite: recover from node failures with replication 10039 ms
org.apache.spark.DistributedSuite: unpersist RDDs 10050 ms
org.apache.spark.ExecutorAllocationManagerSuite: verify min/max executors 10158 ms
org.apache.spark.ExecutorAllocationManagerSuite: starting state 10196 ms
org.apache.spark.ExecutorAllocationManagerSuite: add executors 10155 ms
org.apache.spark.ExecutorAllocationManagerSuite: add executors capped by num pending tasks 10129 ms
org.apache.spark.ExecutorAllocationManagerSuite: cancel pending executors when no longer needed 10183 ms
org.apache.spark.ExecutorAllocationManagerSuite: remove executors 10179 ms
org.apache.spark.ExecutorAllocationManagerSuite: interleaving add and remove 10160 ms
org.apache.spark.ExecutorAllocationManagerSuite: starting/canceling add timer 10138 ms
org.apache.spark.ExecutorAllocationManagerSuite: starting/canceling remove timers 10157 ms
org.apache.spark.ExecutorAllocationManagerSuite: mock polling loop with no events 10179 ms
org.apache.spark.ExecutorAllocationManagerSuite: mock polling loop add behavior 10251 ms
org.apache.spark.ExecutorAllocationManagerSuite: mock polling loop remove behavior 10133 ms
org.apache.spark.ExecutorAllocationManagerSuite: listeners trigger add executors correctly 10493 ms
org.apache.spark.ExecutorAllocationManagerSuite: listeners trigger remove executors correctly 10308 ms
org.apache.spark.ExecutorAllocationManagerSuite: listeners trigger add and remove executor callbacks correctly 11101 ms
org.apache.spark.ExecutorAllocationManagerSuite: SPARK-4951: call onTaskStart before onBlockManagerAdded 10156 ms
org.apache.spark.ExecutorAllocationManagerSuite: SPARK-4951: onExecutorAdded should not add a busy executor to removeTimes 10248 ms
org.apache.spark.ExecutorAllocationManagerSuite: avoid ramp up when target < running executors 10555 ms
org.apache.spark.ExecutorAllocationManagerSuite: avoid ramp down initial executors until first job is submitted 10316 ms
org.apache.spark.ExecutorAllocationManagerSuite: avoid ramp down initial executors until idle executor is timeout 10386 ms
org.apache.spark.ExecutorAllocationManagerSuite: get pending task number and related locality preference 10172 ms
org.apache.spark.ExecutorAllocationManagerSuite: SPARK-8366: maxNumExecutorsNeeded should properly handle failed tasks 10216 ms
org.apache.spark.ExecutorAllocationManagerSuite: reset the state of allocation manager 10173 ms
org.apache.spark.ExternalShuffleServiceSuite: groupByKey without compression 10055 ms
org.apache.spark.ExternalShuffleServiceSuite: shuffle non-zero block size 10048 ms
org.apache.spark.ExternalShuffleServiceSuite: shuffle serializer 10051 ms
org.apache.spark.ExternalShuffleServiceSuite: zero sized blocks 10060 ms
org.apache.spark.ExternalShuffleServiceSuite: zero sized blocks without kryo 10098 ms
org.apache.spark.ExternalShuffleServiceSuite: shuffle on mutable pairs 10058 ms
org.apache.spark.ExternalShuffleServiceSuite: sorting on mutable pairs 10065 ms
org.apache.spark.ExternalShuffleServiceSuite: cogroup using mutable pairs 10063 ms
org.apache.spark.ExternalShuffleServiceSuite: subtract mutable pairs 10061 ms
org.apache.spark.ExternalShuffleServiceSuite: sort with Java non serializable class - Kryo 10090 ms
org.apache.spark.ExternalShuffleServiceSuite: sort with Java non serializable class - Java 10069 ms
org.apache.spark.ExternalShuffleServiceSuite: shuffle with different compression settings (SPARK-3426) 10061 ms
org.apache.spark.ExternalShuffleServiceSuite: [SPARK-4085] rerun map stage if reduce stage cannot find its local shuffle file 10073 ms
org.apache.spark.ExternalShuffleServiceSuite: metrics for shuffle without aggregation 10063 ms
org.apache.spark.ExternalShuffleServiceSuite: metrics for shuffle with aggregation 10066 ms
org.apache.spark.ExternalShuffleServiceSuite: multiple simultaneous attempts for one task (SPARK-8029) 10061 ms
org.apache.spark.ExternalShuffleServiceSuite: using external shuffle service 10059 ms
org.apache.spark.FailureSuite: failure in a single-stage job 10102 ms
org.apache.spark.FailureSuite: failure in a two-stage job 10057 ms
org.apache.spark.FailureSuite: failure in a map stage 10053 ms
org.apache.spark.FailureSuite: failure because task results are not serializable 10058 ms
org.apache.spark.FailureSuite: failure because task closure is not serializable 10054 ms
org.apache.spark.FailureSuite: managed memory leak error should not mask other failures (SPARK-9266 10053 ms
org.apache.spark.FailureSuite: last failure cause is sent back to driver 10055 ms
org.apache.spark.FailureSuite: failure cause stacktrace is sent back to driver if exception is not serializable 10063 ms
org.apache.spark.FailureSuite: failure cause stacktrace is sent back to driver if exception is not deserializable 10058 ms
org.apache.spark.FailureSuite: failure in tasks in a submitMapStage 10058 ms
org.apache.spark.FileServerSuite: Distributing files locally 10387 ms
org.apache.spark.FileServerSuite: Distributing files locally security On 10153 ms
org.apache.spark.FileServerSuite: Distributing files locally using URL as input 10090 ms
org.apache.spark.FileServerSuite: Dynamically adding JARS locally 10183 ms
org.apache.spark.FileServerSuite: Distributing files on a standalone cluster 10100 ms
org.apache.spark.FileServerSuite: Dynamically adding JARS on a standalone cluster 10085 ms
org.apache.spark.FileServerSuite: Dynamically adding JARS on a standalone cluster using local: URL 10088 ms
org.apache.spark.FileSuite: text files 10117 ms
org.apache.spark.FileSuite: text files (compressed) 10098 ms
org.apache.spark.FileSuite: SequenceFiles 10100 ms
org.apache.spark.FileSuite: SequenceFile (compressed) 10087 ms
org.apache.spark.FileSuite: SequenceFile with writable key 10092 ms
org.apache.spark.FileSuite: SequenceFile with writable value 10146 ms
org.apache.spark.FileSuite: SequenceFile with writable key and value 10109 ms
org.apache.spark.FileSuite: implicit conversions in reading SequenceFiles 10090 ms
org.apache.spark.FileSuite: object files of ints 10097 ms
org.apache.spark.FileSuite: object files of complex types 10101 ms
org.apache.spark.FileSuite: object files of classes from a JAR 10272 ms
org.apache.spark.FileSuite: write SequenceFile using new Hadoop API 10173 ms
org.apache.spark.FileSuite: read SequenceFile using new Hadoop API 10089 ms
org.apache.spark.FileSuite: binary file input as byte array 10105 ms
org.apache.spark.FileSuite: portabledatastream caching tests 10086 ms
org.apache.spark.FileSuite: portabledatastream persist disk storage 10101 ms
org.apache.spark.FileSuite: portabledatastream flatmap tests 10106 ms
org.apache.spark.FileSuite: fixed record length binary file as byte array 10164 ms
org.apache.spark.FileSuite: negative binary record length should raise an exception 10106 ms
org.apache.spark.FileSuite: file caching 10115 ms
org.apache.spark.FileSuite: prevent user from overwriting the empty directory (old Hadoop API) 10111 ms
org.apache.spark.FileSuite: prevent user from overwriting the non-empty directory (old Hadoop API) 10101 ms
org.apache.spark.FileSuite: allow user to disable the output directory existence checking (old Hadoop API 10160 ms
org.apache.spark.FileSuite: prevent user from overwriting the empty directory (new Hadoop API) 10104 ms
org.apache.spark.FileSuite: prevent user from overwriting the non-empty directory (new Hadoop API) 10114 ms
org.apache.spark.FileSuite: allow user to disable the output directory existence checking (new Hadoop API 10096 ms
org.apache.spark.FileSuite: save Hadoop Dataset through old Hadoop API 10153 ms
org.apache.spark.FileSuite: save Hadoop Dataset through new Hadoop API 10168 ms
org.apache.spark.FileSuite: Get input files via old Hadoop API 10135 ms
org.apache.spark.FileSuite: Get input files via new Hadoop API 10122 ms
org.apache.spark.FutureActionSuite: (It is not a test) 10495 ms
org.apache.spark.HashShuffleSuite: groupByKey without compression 10120 ms
org.apache.spark.HashShuffleSuite: shuffle non-zero block size 10422 ms
org.apache.spark.HashShuffleSuite: shuffle serializer 10617 ms
org.apache.spark.HashShuffleSuite: zero sized blocks 10435 ms
org.apache.spark.HashShuffleSuite: zero sized blocks without kryo 10658 ms
org.apache.spark.HashShuffleSuite: shuffle on mutable pairs 10387 ms
org.apache.spark.HashShuffleSuite: sorting on mutable pairs 10394 ms
org.apache.spark.HashShuffleSuite: cogroup using mutable pairs 10119 ms
org.apache.spark.HashShuffleSuite: subtract mutable pairs 10410 ms
org.apache.spark.HashShuffleSuite: sort with Java non serializable class - Kryo 10123 ms
org.apache.spark.HashShuffleSuite: sort with Java non serializable class - Java 10292 ms
org.apache.spark.HashShuffleSuite: shuffle with different compression settings (SPARK-3426) 10167 ms
org.apache.spark.HashShuffleSuite: [SPARK-4085] rerun map stage if reduce stage cannot find its local shuffle file 10829 ms
org.apache.spark.HashShuffleSuite: metrics for shuffle without aggregation 11114 ms
org.apache.spark.HashShuffleSuite: metrics for shuffle with aggregation 10161 ms
org.apache.spark.HashShuffleSuite: multiple simultaneous attempts for one task (SPARK-8029) 11180 ms
org.apache.spark.HeartbeatReceiverSuite: (It is not a test) 10136 ms
org.apache.spark.ImplicitOrderingSuite: basic inference of Orderings 10062 ms
org.apache.spark.JavaAPISuite: groupByOnPairRDD 10196 ms
org.apache.spark.JavaAPISuite: binaryFilesCaching 10225 ms
org.apache.spark.JavaAPISuite: sparkContextUnion 10156 ms
org.apache.spark.JavaAPISuite: checkpointAndComputation 10121 ms
org.apache.spark.JavaAPISuite: leftOuterJoin 10184 ms
org.apache.spark.JavaAPISuite: keyByOnPairRDD 10139 ms
org.apache.spark.JavaAPISuite: getNumPartitions 10234 ms
org.apache.spark.JavaAPISuite: wholeTextFiles 10161 ms
org.apache.spark.JavaAPISuite: binaryFiles 10389 ms
org.apache.spark.JavaAPISuite: foldReduce 10149 ms
org.apache.spark.JavaAPISuite: writeWithNewAPIHadoopFile 10273 ms
org.apache.spark.JavaAPISuite: hadoopFile 10245 ms
org.apache.spark.JavaAPISuite: lookup 10274 ms
org.apache.spark.JavaAPISuite: countAsync 10254 ms
org.apache.spark.JavaAPISuite: textFiles 10334 ms
org.apache.spark.JavaAPISuite: binaryRecords 10359 ms
org.apache.spark.JavaAPISuite: toLocalIterator 10251 ms
org.apache.spark.JavaAPISuite: repartitionAndSortWithinPartitions 10309 ms
org.apache.spark.JavaAPISuite: reduce 10137 ms
org.apache.spark.JavaAPISuite: sample 10149 ms
org.apache.spark.JavaAPISuite: sortBy 10153 ms
org.apache.spark.JavaAPISuite: mapsFromPairsToPairs 10160 ms
org.apache.spark.JavaAPISuite: flatMap 10168 ms
org.apache.spark.JavaAPISuite: cogroup3 10277 ms
org.apache.spark.JavaAPISuite: cogroup4 10285 ms
org.apache.spark.JavaAPISuite: randomSplit 10571 ms
org.apache.spark.JavaAPISuite: persist 10464 ms
org.apache.spark.JavaAPISuite: foreach 10696 ms
org.apache.spark.JavaAPISuite: hadoopFileCompressed 10501 ms
org.apache.spark.JavaAPISuite: accumulators 10573 ms
org.apache.spark.JavaAPISuite: textFilesCompressed 10403 ms
org.apache.spark.JavaAPISuite: testAsyncActionCancellation 10474 ms
org.apache.spark.JavaAPISuite: checkpointAndRestore 10163 ms
org.apache.spark.JavaAPISuite: sortByKey 10747 ms
org.apache.spark.JavaAPISuite: aggregateByKey 10614 ms
org.apache.spark.JavaAPISuite: map 10138 ms
org.apache.spark.JavaAPISuite: max 10256 ms
org.apache.spark.JavaAPISuite: min 10260 ms
org.apache.spark.JavaAPISuite: top 10494 ms
org.apache.spark.JavaAPISuite: zip 10157 ms
org.apache.spark.JavaAPISuite: fold 10254 ms
org.apache.spark.JavaAPISuite: glom 10171 ms
org.apache.spark.JavaAPISuite: take 10269 ms
org.apache.spark.JavaAPISuite: javaDoubleRDDHistoGram 10250 ms
org.apache.spark.JavaAPISuite: collectUnderlyingScalaRDD 10805 ms
org.apache.spark.JavaAPISuite: keyBy 10384 ms
org.apache.spark.JavaAPISuite: mapPartitionsWithIndex 10149 ms
org.apache.spark.JavaAPISuite: sampleByKey 10220 ms
org.apache.spark.JavaAPISuite: intersection 10227 ms
org.apache.spark.JavaAPISuite: aggregate 10398 ms
org.apache.spark.JavaAPISuite: cartesian 10355 ms
org.apache.spark.JavaAPISuite: countApproxDistinctByKey 10141 ms
org.apache.spark.JavaAPISuite: readWithNewAPIHadoopFile 10171 ms
org.apache.spark.JavaAPISuite: testRegisterKryoClasses 10218 ms
org.apache.spark.JavaAPISuite: groupBy 10214 ms
org.apache.spark.JavaAPISuite: sampleByKeyExact 10154 ms
org.apache.spark.JavaAPISuite: mapPartitions 10301 ms
org.apache.spark.JavaAPISuite: takeOrdered 10243 ms
org.apache.spark.JavaAPISuite: foldByKey 10249 ms
org.apache.spark.JavaAPISuite: objectFilesOfInts 10328 ms
org.apache.spark.JavaAPISuite: treeAggregate 10249 ms
org.apache.spark.JavaAPISuite: approximateResults 10356 ms
org.apache.spark.JavaAPISuite: treeReduce 10173 ms
org.apache.spark.JavaAPISuite: collectAsMapAndSerialize 10150 ms
org.apache.spark.JavaAPISuite: countApproxDistinct 10273 ms
org.apache.spark.JavaAPISuite: javaDoubleRDD 10178 ms
org.apache.spark.JavaAPISuite: mapOnPairRDD 10167 ms
org.apache.spark.JavaAPISuite: testAsyncActionErrorWrapping 10237 ms
org.apache.spark.JavaAPISuite: naturalMax 10154 ms
org.apache.spark.JavaAPISuite: naturalMin 10354 ms
org.apache.spark.JavaAPISuite: sequenceFile 10498 ms
org.apache.spark.JavaAPISuite: collectPartitions 10846 ms
org.apache.spark.JavaAPISuite: cogroup 10400 ms
org.apache.spark.JavaAPISuite: reduceByKey 10256 ms
org.apache.spark.JavaAPISuite: repartition 10254 ms
org.apache.spark.JavaAPISuite: iterator 10298 ms
org.apache.spark.JavaAPISuite: emptyRDD 10208 ms
org.apache.spark.JavaAPISuite: zipWithIndex 10533 ms
org.apache.spark.JavaAPISuite: foreachPartition 10256 ms
org.apache.spark.JavaAPISuite: combineByKey 10275 ms
org.apache.spark.JavaAPISuite: takeAsync 10282 ms
org.apache.spark.JavaAPISuite: collectAsMapWithIntArrayValues 10248 ms
org.apache.spark.JavaAPISuite: objectFilesOfComplexTypes 10332 ms
org.apache.spark.JavaAPISuite: zipWithUniqueId 10275 ms
org.apache.spark.JavaAPISuite: collectAsync 10695 ms
org.apache.spark.JavaAPISuite: foreachAsync 10267 ms
org.apache.spark.JavaAPISuite: zipPartitions 10281 ms
org.apache.spark.JavaAPISuite: reduceOnJavaDoubleRDD 10159 ms
org.apache.spark.JavaAPISuite: isEmpty 10587 ms
org.apache.spark.JavaJdbcRDDSuite: testJavaJdbcRDD 10142 ms
org.apache.spark.JobCancellationSuite: local mode, FIFO scheduler 10089 ms
org.apache.spark.JobCancellationSuite: local mode, fair scheduler 10088 ms
org.apache.spark.JobCancellationSuite: cluster mode, FIFO scheduler 10086 ms
org.apache.spark.JobCancellationSuite: cluster mode, fair scheduler 10093 ms
org.apache.spark.JobCancellationSuite: do not put partially executed partitions into cache 10146 ms
org.apache.spark.JobCancellationSuite: job group 10100 ms
org.apache.spark.JobCancellationSuite: inherited job group (SPARK-6629) 10162 ms
org.apache.spark.JobCancellationSuite: job group with interruption 10152 ms
org.apache.spark.JobCancellationSuite: two jobs sharing the same stage 10103 ms
org.apache.spark.PartitioningSuite: (It is not a test) 10138 ms
org.apache.spark.ShuffleNettySuite: groupByKey without compression 10122 ms
org.apache.spark.ShuffleNettySuite: shuffle non-zero block size 10170 ms
org.apache.spark.ShuffleNettySuite: shuffle serializer 10112 ms
org.apache.spark.ShuffleNettySuite: zero sized blocks 10110 ms
org.apache.spark.ShuffleNettySuite: zero sized blocks without kryo 10112 ms
org.apache.spark.ShuffleNettySuite: shuffle on mutable pairs 10609 ms
org.apache.spark.ShuffleNettySuite: sorting on mutable pairs 10109 ms
org.apache.spark.ShuffleNettySuite: cogroup using mutable pairs 10228 ms
org.apache.spark.ShuffleNettySuite: subtract mutable pairs 10143 ms
org.apache.spark.ShuffleNettySuite: sort with Java non serializable class - Kryo 10102 ms
org.apache.spark.ShuffleNettySuite: sort with Java non serializable class - Java 10124 ms
org.apache.spark.ShuffleNettySuite: shuffle with different compression settings (SPARK-3426) 10231 ms
org.apache.spark.ShuffleNettySuite: [SPARK-4085] rerun map stage if reduce stage cannot find its local shuffle file 10112 ms
org.apache.spark.ShuffleNettySuite: metrics for shuffle without aggregation 10111 ms
org.apache.spark.ShuffleNettySuite: metrics for shuffle with aggregation 10130 ms
org.apache.spark.ShuffleNettySuite: multiple simultaneous attempts for one task (SPARK-8029) 10205 ms
org.apache.spark.SortShuffleContextCleanerSuite: (It is not a test) 10039 ms
org.apache.spark.SortShuffleSuite: groupByKey without compression 10050 ms
org.apache.spark.SortShuffleSuite: shuffle non-zero block size 10058 ms
org.apache.spark.SortShuffleSuite: shuffle serializer 10058 ms
org.apache.spark.SortShuffleSuite: zero sized blocks 10061 ms
org.apache.spark.SortShuffleSuite: zero sized blocks without kryo 10056 ms
org.apache.spark.SortShuffleSuite: shuffle on mutable pairs 10091 ms
org.apache.spark.SortShuffleSuite: sorting on mutable pairs 10076 ms
org.apache.spark.SortShuffleSuite: cogroup using mutable pairs 10064 ms
org.apache.spark.SortShuffleSuite: subtract mutable pairs 10058 ms
org.apache.spark.SortShuffleSuite: sort with Java non serializable class - Kryo 10057 ms
org.apache.spark.SortShuffleSuite: sort with Java non serializable class - Java 10058 ms
org.apache.spark.SortShuffleSuite: shuffle with different compression settings (SPARK-3426) 10070 ms
org.apache.spark.SortShuffleSuite: [SPARK-4085] rerun map stage if reduce stage cannot find its local shuffle file 10062 ms
org.apache.spark.SortShuffleSuite: metrics for shuffle without aggregation 10060 ms
org.apache.spark.SortShuffleSuite: metrics for shuffle with aggregation 10110 ms
org.apache.spark.SortShuffleSuite: multiple simultaneous attempts for one task (SPARK-8029) 10097 ms
org.apache.spark.SortShuffleSuite: SortShuffleManager properly cleans up files for shuffles that use the serialized path 10057 ms
org.apache.spark.SortShuffleSuite: SortShuffleManager properly cleans up files for shuffles that use the deserialized path 10147 ms
org.apache.spark.SparkConfSuite: creating SparkContext with both master and app name 10074 ms
org.apache.spark.SparkConfSuite: SparkContext property overriding 10134 ms
org.apache.spark.SparkContextInfoSuite: getPersistentRDDs only returns RDDs that are marked as cached 10058 ms
org.apache.spark.SparkContextInfoSuite: getPersistentRDDs returns an immutable map 10072 ms
org.apache.spark.SparkContextInfoSuite: getRDDStorageInfo only reports on RDDs that actually persist data 10068 ms
org.apache.spark.SparkContextInfoSuite: call sites report correct locations 10121 ms
org.apache.spark.SparkContextSchedulerCreationSuite: bad-master 10131 ms
org.apache.spark.SparkContextSchedulerCreationSuite: local 10099 ms
org.apache.spark.SparkContextSchedulerCreationSuite: local-* 10099 ms
org.apache.spark.SparkContextSchedulerCreationSuite: local-n 10112 ms
org.apache.spark.SparkContextSchedulerCreationSuite: local-*-n-failures 10113 ms
org.apache.spark.SparkContextSchedulerCreationSuite: local-n-failures 10114 ms
org.apache.spark.SparkContextSchedulerCreationSuite: bad-local-n 10177 ms
org.apache.spark.SparkContextSchedulerCreationSuite: bad-local-n-failures 10116 ms
org.apache.spark.SparkContextSchedulerCreationSuite: local-default-parallelism 10126 ms
org.apache.spark.SparkContextSchedulerCreationSuite: simr 10181 ms
org.apache.spark.SparkContextSchedulerCreationSuite: local-cluster 10167 ms
org.apache.spark.SparkContextSchedulerCreationSuite: yarn-cluster 10113 ms
org.apache.spark.SparkContextSchedulerCreationSuite: yarn-standalone 10107 ms
org.apache.spark.SparkContextSchedulerCreationSuite: yarn-client 10111 ms
org.apache.spark.SparkContextSchedulerCreationSuite: mesos fine-grained 10106 ms
org.apache.spark.SparkContextSchedulerCreationSuite: mesos coarse-grained 10110 ms
org.apache.spark.SparkContextSchedulerCreationSuite: mesos with zookeeper 10106 ms
org.apache.spark.SparkContextSchedulerCreationSuite: mesos with zookeeper and Master URL starting with zk:// 11088 ms
org.apache.spark.SparkContextSuite: Only one SparkContext may be active at a time 10076 ms
org.apache.spark.SparkContextSuite: Can still construct a new SparkContext after failing to construct a previous one 10067 ms
org.apache.spark.SparkContextSuite: Check for multiple SparkContexts can be disabled via undocumented debug option 10062 ms
org.apache.spark.SparkContextSuite: Test getOrCreate 10070 ms
org.apache.spark.SparkContextSuite: addFile works 10059 ms
org.apache.spark.SparkContextSuite: addFile recursive works 10079 ms
org.apache.spark.SparkContextSuite: addFile recursive can't add directories by default 10048 ms
org.apache.spark.SparkContextSuite: Cancelling job group should not cause SparkContext to shutdown (SPARK-6414) 10045 ms
org.apache.spark.SparkContextSuite: Comma separated paths for newAPIHadoopFile/wholeTextFiles/binaryFiles (SPARK-7155) 10339 ms
org.apache.spark.SparkContextSuite: Default path for file based RDDs is properly set (SPARK-12517) 10044 ms
org.apache.spark.SparkContextSuite: stop() must not throw any exception 10084 ms
org.apache.spark.SparkContextSuite: No exception when both num-executors and dynamic allocation set 10042 ms
org.apache.spark.StatusTrackerSuite: basic status API usage 10050 ms
org.apache.spark.StatusTrackerSuite: getJobIdsForGroup() 10048 ms
org.apache.spark.StatusTrackerSuite: getJobIdsForGroup() with takeAsync() 10050 ms
org.apache.spark.StatusTrackerSuite: getJobIdsForGroup() with takeAsync() across multiple partitions 10063 ms
org.apache.spark.ThreadingSuite: accessing SparkContext form a different thread 10055 ms
org.apache.spark.ThreadingSuite: accessing SparkContext form multiple threads 10064 ms
org.apache.spark.ThreadingSuite: accessing multi-threaded SparkContext form multiple threads 10081 ms
org.apache.spark.ThreadingSuite: parallel job execution 10161 ms
org.apache.spark.ThreadingSuite: set local properties in different thread 10136 ms
org.apache.spark.ThreadingSuite: set and get local properties in parent-children thread 10091 ms
org.apache.spark.ThreadingSuite: mutation in parent local property does not affect child (SPARK-10563) 10100 ms
org.apache.spark.UnpersistSuite: unpersist RDD 10191 ms
org.apache.spark.api.python.PythonBroadcastSuite: (It is not a test) 10561 ms
org.apache.spark.api.python.SerDeUtilSuite: (It is not a test) 10234 ms
org.apache.spark.broadcast.BroadcastSuite: Using TorrentBroadcast locally 10092 ms
org.apache.spark.broadcast.BroadcastSuite: Accessing TorrentBroadcast variables from multiple threads 10085 ms
org.apache.spark.broadcast.BroadcastSuite: Accessing TorrentBroadcast variables in a local cluster 10075 ms
org.apache.spark.broadcast.BroadcastSuite: Test Lazy Broadcast variables with TorrentBroadcast 10088 ms
org.apache.spark.broadcast.BroadcastSuite: Unpersisting TorrentBroadcast on executors only in local mode 10266 ms
org.apache.spark.broadcast.BroadcastSuite: Unpersisting TorrentBroadcast on executors and driver in local mode 10096 ms
org.apache.spark.broadcast.BroadcastSuite: Unpersisting TorrentBroadcast on executors only in distributed mode 10077 ms
org.apache.spark.broadcast.BroadcastSuite: Unpersisting TorrentBroadcast on executors and driver in distributed mode 10130 ms
org.apache.spark.broadcast.BroadcastSuite: Using broadcast after destroy prints callsite 10086 ms
org.apache.spark.broadcast.BroadcastSuite: Broadcast variables cannot be created after SparkContext is stopped (SPARK-5065) 10082 ms
org.apache.spark.deploy.LogUrlsStandaloneSuite: verify that correct log urls get propagated from workers 10042 ms
org.apache.spark.deploy.LogUrlsStandaloneSuite: verify that log urls reflect SPARK_PUBLIC_DNS (SPARK-6175) 10049 ms
org.apache.spark.deploy.SparkSubmitSuite: launch simple application with spark-submit 20003 ms
org.apache.spark.deploy.SparkSubmitSuite: includes jars passed in through --jars 13236 ms
org.apache.spark.deploy.SparkSubmitSuite: includes jars passed in through --packages 14420 ms
org.apache.spark.deploy.StandaloneDynamicAllocationSuite: dynamic allocation default behavior 10064 ms
org.apache.spark.deploy.StandaloneDynamicAllocationSuite: dynamic allocation with max cores <= cores per worker 10078 ms
org.apache.spark.deploy.StandaloneDynamicAllocationSuite: dynamic allocation with max cores > cores per worker 10090 ms
org.apache.spark.deploy.StandaloneDynamicAllocationSuite: dynamic allocation with cores per executor 10063 ms
org.apache.spark.deploy.StandaloneDynamicAllocationSuite: dynamic allocation with cores per executor AND max cores 10057 ms
org.apache.spark.deploy.StandaloneDynamicAllocationSuite: kill the same executor twice (SPARK-9795) 10089 ms
org.apache.spark.deploy.StandaloneDynamicAllocationSuite: the pending replacement executors should not be lost (SPARK-10515) 10053 ms
org.apache.spark.deploy.StandaloneDynamicAllocationSuite: disable force kill for busy executors (SPARK-9552) 10058 ms
org.apache.spark.input.WholeTextFileRecordReaderSuite: (It is not a test) 10549 ms
org.apache.spark.launcher.LauncherBackendSuite: local: launcher handle 30054 ms
org.apache.spark.launcher.LauncherBackendSuite: standalone/client: launcher handle 30028 ms
org.apache.spark.metrics.InputOutputMetricsSuite: (It is not a test) 10043 ms
org.apache.spark.rdd.AsyncRDDActionsSuite: (It is not a test) 10088 ms
org.apache.spark.rdd.DoubleRDDSuite: (It is not a test) 10364 ms
org.apache.spark.rdd.JdbcRDDSuite: basic functionality 10068 ms
org.apache.spark.rdd.JdbcRDDSuite: large id overflow 10053 ms
org.apache.spark.rdd.LocalCheckpointSuite: (It is not a test) 10062 ms
org.apache.spark.rdd.PairRDDFunctionsSuite: (It is not a test) 10103 ms
org.apache.spark.rdd.PartitionPruningRDDSuite: (It is not a test) 10178 ms
org.apache.spark.rdd.PartitionwiseSampledRDDSuite: (It is not a test) 10075 ms
org.apache.spark.rdd.PipedRDDSuite: (It is not a test) 10094 ms
org.apache.spark.rdd.RDDOperationScopeSuite: (It is not a test) 10048 ms
org.apache.spark.rdd.RDDSuite: (It is not a test) 10060 ms
org.apache.spark.rdd.SortingSuite: (It is not a test) 10149 ms
org.apache.spark.rdd.ZippedPartitionsSuite: (It is not a test) 10129 ms
org.apache.spark.scheduler.AdaptiveSchedulingSuite: simple use of submitMapStage 10107 ms
org.apache.spark.scheduler.AdaptiveSchedulingSuite: fetching multiple map output partitions per reduce 10118 ms
org.apache.spark.scheduler.AdaptiveSchedulingSuite: fetching all map output partitions in one reduce 10130 ms
org.apache.spark.scheduler.AdaptiveSchedulingSuite: more reduce tasks than map output partitions 10121 ms
org.apache.spark.scheduler.CoarseGrainedSchedulerBackendSuite: serialized task larger than akka frame size 11444 ms
org.apache.spark.scheduler.DAGSchedulerSuite: (It is not a test) 10054 ms
org.apache.spark.scheduler.EventLoggingListenerSuite: End-to-end event logging 10093 ms
org.apache.spark.scheduler.EventLoggingListenerSuite: End-to-end event logging with compression 10435 ms
org.apache.spark.scheduler.OutputCommitCoordinatorIntegrationSuite: (It is not a test) 10057 ms
org.apache.spark.scheduler.OutputCommitCoordinatorSuite: (It is not a test) 10052 ms
org.apache.spark.scheduler.PoolSuite: FIFO Scheduler Test 10126 ms
org.apache.spark.scheduler.PoolSuite: Fair Scheduler Test 10121 ms
org.apache.spark.scheduler.PoolSuite: Nested Pool Test 10217 ms
org.apache.spark.scheduler.ReplayListenerSuite: End-to-end replay 10043 ms
org.apache.spark.scheduler.ReplayListenerSuite: End-to-end replay with compression 10043 ms
org.apache.spark.scheduler.SparkListenerSuite: stop in listener 10043 ms
org.apache.spark.scheduler.SparkListenerSuite: basic creation of StageInfo 10058 ms
org.apache.spark.scheduler.SparkListenerSuite: basic creation of StageInfo with shuffle 10077 ms
org.apache.spark.scheduler.SparkListenerSuite: StageInfo with fewer tasks than partitions 10096 ms
org.apache.spark.scheduler.SparkListenerSuite: local metrics 10084 ms
org.apache.spark.scheduler.SparkListenerSuite: onTaskGettingResult() called when result fetched remotely 10124 ms
org.apache.spark.scheduler.SparkListenerSuite: onTaskGettingResult() not called when result sent directly 10091 ms
org.apache.spark.scheduler.SparkListenerSuite: onTaskEnd() should be called for all started tasks, even after job has been killed 10076 ms
org.apache.spark.scheduler.SparkListenerSuite: extraListeners 10065 ms
org.apache.spark.scheduler.SparkListenerWithClusterSuite: (It is not a test) 10092 ms
org.apache.spark.scheduler.TaskContextSuite: provide metrics sources 10201 ms
org.apache.spark.scheduler.TaskContextSuite: calls TaskCompletionListener after failure 10142 ms
org.apache.spark.scheduler.TaskContextSuite: attemptNumber should return attempt number, not task id (SPARK-4014) 11041 ms
org.apache.spark.scheduler.TaskResultGetterSuite: handling results smaller than Akka frame size 10122 ms
org.apache.spark.scheduler.TaskResultGetterSuite: handling results larger than Akka frame size 10193 ms
org.apache.spark.scheduler.TaskResultGetterSuite: task retried if result missing from block manager 10124 ms
org.apache.spark.scheduler.TaskResultGetterSuite: failed task deserialized with the correct classloader (SPARK-11195) 10288 ms
org.apache.spark.scheduler.TaskSchedulerImplSuite: Scheduler does not always schedule tasks on the same workers 10082 ms
org.apache.spark.scheduler.TaskSchedulerImplSuite: Scheduler correctly accounts for multiple CPUs per task 10076 ms
org.apache.spark.scheduler.TaskSchedulerImplSuite: Scheduler does not crash when tasks are not serializable 10034 ms
org.apache.spark.scheduler.TaskSchedulerImplSuite: refuse to schedule concurrent attempts for the same stage (SPARK-8103) 10065 ms
org.apache.spark.scheduler.TaskSchedulerImplSuite: don't schedule more tasks after a taskset is zombie 10045 ms
org.apache.spark.scheduler.TaskSchedulerImplSuite: if a zombie attempt finishes, continue scheduling tasks for non-zombie attempts 10046 ms
org.apache.spark.scheduler.TaskSchedulerImplSuite: tasks are not re-scheduled while executor loss reason is pending 10060 ms
org.apache.spark.scheduler.TaskSetManagerSuite: TaskSet with no preferences 10075 ms
org.apache.spark.scheduler.TaskSetManagerSuite: multiple offers with no preferences 10041 ms
org.apache.spark.scheduler.TaskSetManagerSuite: skip unsatisfiable locality levels 10047 ms
org.apache.spark.scheduler.TaskSetManagerSuite: basic delay scheduling 10067 ms
org.apache.spark.scheduler.TaskSetManagerSuite: we do not need to delay scheduling when we only have noPref tasks in the queue 10043 ms
org.apache.spark.scheduler.TaskSetManagerSuite: delay scheduling with fallback 10046 ms
org.apache.spark.scheduler.TaskSetManagerSuite: delay scheduling with failed hosts 10048 ms
org.apache.spark.scheduler.TaskSetManagerSuite: task result lost 10067 ms
org.apache.spark.scheduler.TaskSetManagerSuite: repeated failures lead to task set abortion 10059 ms
org.apache.spark.scheduler.TaskSetManagerSuite: executors should be blacklisted after task failure, in spite of locality preferences 10059 ms
org.apache.spark.scheduler.TaskSetManagerSuite: new executors get added and lost 10066 ms
org.apache.spark.scheduler.TaskSetManagerSuite: Executors exit for reason unrelated to currently running tasks 10047 ms
org.apache.spark.scheduler.TaskSetManagerSuite: test RACK_LOCAL tasks 10071 ms
org.apache.spark.scheduler.TaskSetManagerSuite: do not emit warning when serialized task is small 10048 ms
org.apache.spark.scheduler.TaskSetManagerSuite: emit warning when serialized task is large 10049 ms
org.apache.spark.scheduler.TaskSetManagerSuite: Not serializable exception thrown if the task cannot be serialized 10045 ms
org.apache.spark.scheduler.TaskSetManagerSuite: abort the job if total size of results is too large 10039 ms
org.apache.spark.scheduler.TaskSetManagerSuite: speculative and noPref task should be scheduled after node-local 10073 ms
org.apache.spark.scheduler.TaskSetManagerSuite: node-local tasks should be scheduled right away when there are only node-local and no-preference tasks 10071 ms
org.apache.spark.scheduler.TaskSetManagerSuite: SPARK-4939: node-local tasks should be scheduled right after process-local tasks finished 10053 ms
org.apache.spark.scheduler.TaskSetManagerSuite: SPARK-4939: no-pref tasks should be scheduled after process-local tasks finished 10088 ms
org.apache.spark.scheduler.TaskSetManagerSuite: Ensure TaskSetManager is usable after addition of levels 10086 ms
org.apache.spark.scheduler.TaskSetManagerSuite: Test that locations with HDFSCacheTaskLocation are treated as PROCESS_LOCAL 10080 ms
org.apache.spark.scheduler.cluster.mesos.CoarseMesosSchedulerBackendSuite: (It is not a test) 10240 ms
org.apache.spark.serializer.GenericAvroSerializerSuite: (It is not a test) 10101 ms
org.apache.spark.serializer.KryoSerializerAutoResetDisabledSuite: (It is not a test) 10214 ms
org.apache.spark.serializer.KryoSerializerDistributedSuite: kryo objects are serialised consistently in different processes 10792 ms
org.apache.spark.serializer.KryoSerializerResizableOutputSuite: kryo without resizable output buffer should fail on large array 10138 ms
org.apache.spark.serializer.KryoSerializerResizableOutputSuite: kryo with resizable output buffer should succeed on large array 10157 ms
org.apache.spark.serializer.KryoSerializerSuite: (It is not a test) 10111 ms
org.apache.spark.serializer.ProactiveClosureSerializationSuite: (It is not a test) 10126 ms
org.apache.spark.shuffle.BlockStoreShuffleReaderSuite: read() releases resources on completion 10034 ms
org.apache.spark.shuffle.ShuffleDependencySuite: key, value, and combiner classes correct in shuffle dependency without aggregation 10041 ms
org.apache.spark.shuffle.ShuffleDependencySuite: key, value, and combiner classes available in shuffle dependency with aggregation 10039 ms
org.apache.spark.shuffle.ShuffleDependencySuite: combineByKey null combiner class tag handled correctly 10052 ms
org.apache.spark.storage.FlatmapIteratorSuite: Flatmap Iterator to Disk 10139 ms
org.apache.spark.storage.FlatmapIteratorSuite: Flatmap Iterator to Memory 10194 ms
org.apache.spark.storage.FlatmapIteratorSuite: Serializer Reset 10212 ms
org.apache.spark.ui.UISeleniumSuite: effects of unpersist() / persist() should be reflected 10045 ms
org.apache.spark.ui.UISeleniumSuite: failed stages should not appear to be active 10038 ms
org.apache.spark.ui.UISeleniumSuite: killEnabled should properly control kill button display 10039 ms
org.apache.spark.ui.UISeleniumSuite: jobs page should not display job group name unless some job was submitted in a job group 10041 ms
org.apache.spark.ui.UISeleniumSuite: job progress bars should handle stage / task failures 10045 ms
org.apache.spark.ui.UISeleniumSuite: job details page should display useful information for stages that haven't started 10052 ms
org.apache.spark.ui.UISeleniumSuite: job progress bars / cells reflect skipped stages / tasks 10038 ms
org.apache.spark.ui.UISeleniumSuite: stages that aren't run appear as 'skipped stages' after a job finishes 10047 ms
org.apache.spark.ui.UISeleniumSuite: jobs with stages that are skipped should show correct link descriptions on all jobs page 10038 ms
org.apache.spark.ui.UISeleniumSuite: attaching and detaching a new tab 10049 ms
org.apache.spark.ui.UISeleniumSuite: kill stage POST/GET response is correct 10045 ms
org.apache.spark.ui.UISeleniumSuite: stage & job retention 10062 ms
org.apache.spark.ui.UISeleniumSuite: live UI json application list 10046 ms
org.apache.spark.ui.UISeleniumSuite: job stages should have expected dotfile under DAG visualization 10042 ms
org.apache.spark.ui.UISuite: verify appUIAddress contains the scheme 10055 ms
org.apache.spark.ui.UISuite: verify appUIAddress contains the port 10058 ms
org.apache.spark.util.ClosureCleanerSuite: closures inside an object 10076 ms
org.apache.spark.util.ClosureCleanerSuite: closures inside a class 10075 ms
org.apache.spark.util.ClosureCleanerSuite: closures inside a class with no default constructor 10072 ms
org.apache.spark.util.ClosureCleanerSuite: closures that don't use fields of the outer class 10076 ms
org.apache.spark.util.ClosureCleanerSuite: nested closures inside an object 10075 ms
org.apache.spark.util.ClosureCleanerSuite: nested closures inside a class 10130 ms
org.apache.spark.util.ClosureCleanerSuite: toplevel return statements in closures are identified at cleaning time 10089 ms
org.apache.spark.util.ClosureCleanerSuite: return statements from named functions nested in closures don't raise exceptions 10083 ms
org.apache.spark.util.ClosureCleanerSuite: user provided closures are actually cleaned 10078 ms
org.apache.spark.util.ClosureCleanerSuite2: (It is not a test) 10070 ms
org.apache.spark.util.MutableURLClassLoaderSuite: driver sets context class loader in local mode 10120 ms
org.apache.spark.util.collection.ExternalAppendOnlyMapSuite: single insert insert 10158 ms
org.apache.spark.util.collection.ExternalAppendOnlyMapSuite: multiple insert 10164 ms
org.apache.spark.util.collection.ExternalAppendOnlyMapSuite: insert with collision 10161 ms
org.apache.spark.util.collection.ExternalAppendOnlyMapSuite: ordering 10174 ms
org.apache.spark.util.collection.ExternalAppendOnlyMapSuite: null keys and values 10162 ms
org.apache.spark.util.collection.ExternalAppendOnlyMapSuite: simple aggregator 10221 ms
org.apache.spark.util.collection.ExternalAppendOnlyMapSuite: simple cogroup 10235 ms
org.apache.spark.util.collection.ExternalAppendOnlyMapSuite: spilling 10148 ms
org.apache.spark.util.collection.ExternalAppendOnlyMapSuite: spilling with compression 10182 ms
org.apache.spark.util.collection.ExternalAppendOnlyMapSuite: spilling with hash collisions 10115 ms
org.apache.spark.util.collection.ExternalAppendOnlyMapSuite: spilling with many hash collisions 10192 ms
org.apache.spark.util.collection.ExternalAppendOnlyMapSuite: MaxValue key 10255 ms
org.apache.spark.util.collection.ExternalAppendOnlyMapSuite: spilling with null keys and values 10185 ms
org.apache.spark.util.collection.ExternalAppendOnlyMapSuite: external aggregation updates peak execution memory 10146 ms
org.apache.spark.util.collection.ExternalSorterSuite: empty data stream with kryo ser 10061 ms
org.apache.spark.util.collection.ExternalSorterSuite: empty data stream with java ser 10110 ms
org.apache.spark.util.collection.ExternalSorterSuite: few elements per partition with kryo ser 10073 ms
org.apache.spark.util.collection.ExternalSorterSuite: few elements per partition with java ser 10154 ms
org.apache.spark.util.collection.ExternalSorterSuite: empty partitions with spilling with kryo ser 10062 ms
org.apache.spark.util.collection.ExternalSorterSuite: empty partitions with spilling with java ser 10064 ms
org.apache.spark.util.collection.ExternalSorterSuite: spilling in local cluster with kryo ser 10070 ms
org.apache.spark.util.collection.ExternalSorterSuite: spilling in local cluster with java ser 10064 ms
org.apache.spark.util.collection.ExternalSorterSuite: spilling in local cluster with many reduce tasks with kryo ser 10116 ms
org.apache.spark.util.collection.ExternalSorterSuite: spilling in local cluster with many reduce tasks with java ser 10059 ms
org.apache.spark.util.collection.ExternalSorterSuite: cleanup of intermediate files in sorter 10117 ms
org.apache.spark.util.collection.ExternalSorterSuite: cleanup of intermediate files in sorter with failures 10066 ms
org.apache.spark.util.collection.ExternalSorterSuite: cleanup of intermediate files in shuffle 10063 ms
org.apache.spark.util.collection.ExternalSorterSuite: cleanup of intermediate files in shuffle with failures 10067 ms
org.apache.spark.util.collection.ExternalSorterSuite: no sorting or partial aggregation with kryo ser 10061 ms
org.apache.spark.util.collection.ExternalSorterSuite: no sorting or partial aggregation with java ser 10067 ms
org.apache.spark.util.collection.ExternalSorterSuite: no sorting or partial aggregation with spilling with kryo ser 10059 ms
org.apache.spark.util.collection.ExternalSorterSuite: no sorting or partial aggregation with spilling with java ser 10069 ms
org.apache.spark.util.collection.ExternalSorterSuite: sorting, no partial aggregation with kryo ser 11959 ms
org.apache.spark.util.collection.ExternalSorterSuite: sorting, no partial aggregation with java ser 10064 ms
org.apache.spark.util.collection.ExternalSorterSuite: sorting, no partial aggregation with spilling with kryo ser 10069 ms
org.apache.spark.util.collection.ExternalSorterSuite: sorting, no partial aggregation with spilling with java ser 10077 ms
org.apache.spark.util.collection.ExternalSorterSuite: partial aggregation, no sorting with kryo ser 10072 ms
org.apache.spark.util.collection.ExternalSorterSuite: partial aggregation, no sorting with java ser 10109 ms
org.apache.spark.util.collection.ExternalSorterSuite: partial aggregation, no sorting with spilling with kryo ser 10071 ms
org.apache.spark.util.collection.ExternalSorterSuite: partial aggregation, no sorting with spilling with java ser 10061 ms
org.apache.spark.util.collection.ExternalSorterSuite: partial aggregation and sorting with kryo ser 10064 ms
org.apache.spark.util.collection.ExternalSorterSuite: partial aggregation and sorting with java ser 10070 ms
org.apache.spark.util.collection.ExternalSorterSuite: partial aggregation and sorting with spilling with kryo ser 10112 ms
org.apache.spark.util.collection.ExternalSorterSuite: partial aggregation and sorting with spilling with java ser 10061 ms
org.apache.spark.util.collection.ExternalSorterSuite: sort without breaking sorting contracts with kryo ser 10103 ms
org.apache.spark.util.collection.ExternalSorterSuite: sort without breaking sorting contracts with java ser 10069 ms
org.apache.spark.util.collection.ExternalSorterSuite: spilling with hash collisions 10064 ms
org.apache.spark.util.collection.ExternalSorterSuite: spilling with many hash collisions 10105 ms
org.apache.spark.util.collection.ExternalSorterSuite: MaxValue key 10073 ms
org.apache.spark.util.collection.ExternalSorterSuite: spilling with null keys and values 10104 ms
org.apache.spark.util.collection.ExternalSorterSuite: sorting updates peak execution memory 10072 ms
org.apache.spark.streaming.kafka.DirectKafkaStreamSuite: basic stream receiving with multiple topics and smallest starting offset 10835 ms
org.apache.spark.streaming.kafka.DirectKafkaStreamSuite: receiving from largest starting offset 10355 ms
org.apache.spark.streaming.kafka.DirectKafkaStreamSuite: creating stream by offset 10308 ms
org.apache.spark.streaming.kafka.DirectKafkaStreamSuite: offset recovery 10689 ms
org.apache.spark.streaming.kafka.DirectKafkaStreamSuite: Direct Kafka stream report input information 10296 ms
org.apache.spark.streaming.kafka.DirectKafkaStreamSuite: using rate controller 10255 ms
org.apache.spark.streaming.kafka.JavaDirectKafkaStreamSuite: testKafkaStream 10538 ms
org.apache.spark.streaming.kafka.JavaKafkaRDDSuite: testKafkaRDD 10518 ms
org.apache.spark.streaming.kafka.JavaKafkaStreamSuite: testKafkaStream 10751 ms
org.apache.spark.streaming.kafka.KafkaRDDSuite: (It is not a test) 10043 ms
org.apache.spark.streaming.kafka.KafkaStreamSuite: Kafka input stream 10092 ms
org.apache.spark.streaming.kafka.ReliableKafkaStreamSuite: (It is not a test) 13131 ms
org.apache.spark.streaming.mqtt.JavaMQTTStreamSuite: testMQTTStream 10096 ms
org.apache.spark.streaming.mqtt.MQTTStreamSuite: (It is not a test) 11749 ms
org.apache.spark.streaming.twitter.JavaTwitterStreamSuite: testTwitterStream 10082 ms
org.apache.spark.streaming.twitter.TwitterStreamSuite: twitter input stream 11721 ms
org.apache.spark.streaming.zeromq.JavaZeroMQStreamSuite: testZeroMQStream 10089 ms
org.apache.spark.streaming.zeromq.ZeroMQStreamSuite: zeromq input stream 11699 ms
org.apache.spark.streaming.kinesis.JavaKinesisStreamSuite: testCustomHandler 10081 ms
org.apache.spark.streaming.kinesis.JavaKinesisStreamSuite: testKinesisStream 10066 ms
org.apache.spark.streaming.kinesis.WithAggregationKinesisStreamSuite: (It is not a test) 11171 ms
org.apache.spark.streaming.kinesis.WithoutAggregationKinesisStreamSuite: (It is not a test) 10103 ms
org.apache.spark.graphx.EdgeRDDSuite: cache, getStorageLevel 10043 ms
org.apache.spark.graphx.GraphLoaderSuite: edgeListFile 10036 ms
org.apache.spark.graphx.GraphOpsSuite: joinVertices 10045 ms
org.apache.spark.graphx.GraphOpsSuite: collectNeighborIds 11140 ms
org.apache.spark.graphx.GraphOpsSuite: filter 10114 ms
org.apache.spark.graphx.GraphOpsSuite: convertToCanonicalEdges 10056 ms
org.apache.spark.graphx.GraphOpsSuite: collectEdgesCycleDirectionOut 10053 ms
org.apache.spark.graphx.GraphOpsSuite: collectEdgesCycleDirectionIn 10068 ms
org.apache.spark.graphx.GraphOpsSuite: collectEdgesCycleDirectionEither 10057 ms
org.apache.spark.graphx.GraphOpsSuite: collectEdgesChainDirectionOut 10052 ms
org.apache.spark.graphx.GraphOpsSuite: collectEdgesChainDirectionIn 10059 ms
org.apache.spark.graphx.GraphOpsSuite: collectEdgesChainDirectionEither 10191 ms
org.apache.spark.graphx.GraphSuite: fromEdgeTuples 10038 ms
org.apache.spark.graphx.GraphSuite: fromEdges 10041 ms
org.apache.spark.graphx.GraphSuite: apply 10046 ms
org.apache.spark.graphx.GraphSuite: triplets 10048 ms
org.apache.spark.graphx.GraphSuite: partitionBy 10065 ms
org.apache.spark.graphx.GraphSuite: mapVertices 10042 ms
org.apache.spark.graphx.GraphSuite: mapVertices changing type with same erased type 10046 ms
org.apache.spark.graphx.GraphSuite: mapEdges 10054 ms
org.apache.spark.graphx.GraphSuite: mapTriplets 10042 ms
org.apache.spark.graphx.GraphSuite: reverse 10037 ms
org.apache.spark.graphx.GraphSuite: reverse with join elimination 10041 ms
org.apache.spark.graphx.GraphSuite: subgraph 10055 ms
org.apache.spark.graphx.GraphSuite: mask 10039 ms
org.apache.spark.graphx.GraphSuite: groupEdges 10042 ms
org.apache.spark.graphx.GraphSuite: mapReduceTriplets 10039 ms
org.apache.spark.graphx.GraphSuite: aggregateMessages 10166 ms
org.apache.spark.graphx.GraphSuite: outerJoinVertices 10037 ms
org.apache.spark.graphx.GraphSuite: more edge partitions than vertex partitions 10040 ms
org.apache.spark.graphx.GraphSuite: checkpoint 10062 ms
org.apache.spark.graphx.GraphSuite: cache, getStorageLevel 10044 ms
org.apache.spark.graphx.GraphSuite: non-default number of edge partitions 10042 ms
org.apache.spark.graphx.PregelSuite: 1 iteration 10055 ms
org.apache.spark.graphx.PregelSuite: chain propagation 10049 ms
org.apache.spark.graphx.VertexRDDSuite: filter 10044 ms
org.apache.spark.graphx.VertexRDDSuite: mapValues 10058 ms
org.apache.spark.graphx.VertexRDDSuite: minus 10089 ms
org.apache.spark.graphx.VertexRDDSuite: minus with RDD[(VertexId, VD)] 10042 ms
org.apache.spark.graphx.VertexRDDSuite: minus with non-equal number of partitions 10070 ms
org.apache.spark.graphx.VertexRDDSuite: diff 10042 ms
org.apache.spark.graphx.VertexRDDSuite: diff with RDD[(VertexId, VD)] 10051 ms
org.apache.spark.graphx.VertexRDDSuite: diff vertices with non-equal number of partitions 10047 ms
org.apache.spark.graphx.VertexRDDSuite: leftJoin 10561 ms
org.apache.spark.graphx.VertexRDDSuite: leftJoin vertices with non-equal number of partitions 10240 ms
org.apache.spark.graphx.VertexRDDSuite: innerJoin 10045 ms
org.apache.spark.graphx.VertexRDDSuite: innerJoin vertices with the non-equal number of partitions 10040 ms
org.apache.spark.graphx.VertexRDDSuite: aggregateUsingIndex 10050 ms
org.apache.spark.graphx.VertexRDDSuite: mergeFunc 10046 ms
org.apache.spark.graphx.VertexRDDSuite: cache, getStorageLevel 10043 ms
org.apache.spark.graphx.lib.ConnectedComponentsSuite: Grid Connected Components 10060 ms
org.apache.spark.graphx.lib.ConnectedComponentsSuite: Reverse Grid Connected Components 10052 ms
org.apache.spark.graphx.lib.ConnectedComponentsSuite: Chain Connected Components 10051 ms
org.apache.spark.graphx.lib.ConnectedComponentsSuite: Reverse Chain Connected Components 10075 ms
org.apache.spark.graphx.lib.ConnectedComponentsSuite: Connected Components on a Toy Connected Graph 10053 ms
org.apache.spark.graphx.lib.LabelPropagationSuite: Label Propagation 10062 ms
org.apache.spark.graphx.lib.PageRankSuite: Star PageRank 11582 ms
org.apache.spark.graphx.lib.PageRankSuite: Star PersonalPageRank 10077 ms
org.apache.spark.graphx.lib.PageRankSuite: Grid PageRank 10069 ms
org.apache.spark.graphx.lib.PageRankSuite: Chain PageRank 10064 ms
org.apache.spark.graphx.lib.PageRankSuite: Chain PersonalizedPageRank 10063 ms
org.apache.spark.graphx.lib.SVDPlusPlusSuite: Test SVD++ with mean square error on training set 10055 ms
org.apache.spark.graphx.lib.ShortestPathsSuite: Shortest Path Computations 10045 ms
org.apache.spark.graphx.lib.StronglyConnectedComponentsSuite: Island Strongly Connected Components 10046 ms
org.apache.spark.graphx.lib.StronglyConnectedComponentsSuite: Cycle Strongly Connected Components 10044 ms
org.apache.spark.graphx.lib.StronglyConnectedComponentsSuite: 2 Cycle Strongly Connected Components 10038 ms
org.apache.spark.graphx.lib.TriangleCountSuite: Count a single triangle 10040 ms
org.apache.spark.graphx.lib.TriangleCountSuite: Count two triangles 10042 ms
org.apache.spark.graphx.lib.TriangleCountSuite: Count two triangles with bi-directed edges 10041 ms
org.apache.spark.graphx.lib.TriangleCountSuite: Count a single triangle with duplicate edges 10055 ms
org.apache.spark.graphx.util.GraphGeneratorsSuite: logNormalGraph 10062 ms
org.apache.spark.graphx.util.GraphGeneratorsSuite: rmatGraph numEdges upper bound 10048 ms
org.apache.spark.ml.PipelineSuite: (It is not a test) 11611 ms
org.apache.spark.ml.ann.ANNSuite: (It is not a test) 10058 ms
org.apache.spark.ml.classification.DecisionTreeClassifierSuite: (It is not a test) 10065 ms
org.apache.spark.ml.classification.GBTClassifierSuite: (It is not a test) 10055 ms
org.apache.spark.ml.classification.JavaGBTClassifierSuite: runDT 10065 ms
org.apache.spark.ml.classification.JavaNaiveBayesSuite: testNaiveBayes 10078 ms
org.apache.spark.ml.classification.JavaNaiveBayesSuite: naiveBayesDefaultParams 10095 ms
org.apache.spark.ml.classification.LogisticRegressionSuite: (It is not a test) 10051 ms
org.apache.spark.ml.classification.MultilayerPerceptronClassifierSuite: (It is not a test) 10082 ms
org.apache.spark.ml.classification.NaiveBayesSuite: (It is not a test) 10043 ms
org.apache.spark.ml.classification.OneVsRestSuite: (It is not a test) 10051 ms
org.apache.spark.ml.classification.RandomForestClassifierSuite: (It is not a test) 10046 ms
org.apache.spark.ml.clustering.JavaKMeansSuite: fitAndTransform 10071 ms
org.apache.spark.ml.clustering.KMeansSuite: (It is not a test) 10043 ms
org.apache.spark.ml.clustering.LDASuite: (It is not a test) 10068 ms
org.apache.spark.ml.evaluation.BinaryClassificationEvaluatorSuite: (It is not a test) 10045 ms
org.apache.spark.ml.evaluation.MulticlassClassificationEvaluatorSuite: (It is not a test) 10058 ms
org.apache.spark.ml.evaluation.RegressionEvaluatorSuite: (It is not a test) 10046 ms
org.apache.spark.ml.feature.BinarizerSuite: (It is not a test) 10057 ms
org.apache.spark.ml.feature.BucketizerSuite: (It is not a test) 10068 ms
org.apache.spark.ml.feature.ChiSqSelectorSuite: (It is not a test) 10045 ms
org.apache.spark.ml.feature.CountVectorizerSuite: (It is not a test) 10071 ms
org.apache.spark.ml.feature.DCTSuite: (It is not a test) 10052 ms
org.apache.spark.ml.feature.HashingTFSuite: (It is not a test) 10057 ms
org.apache.spark.ml.feature.IDFSuite: (It is not a test) 10083 ms
org.apache.spark.ml.feature.InteractionSuite: (It is not a test) 10043 ms
org.apache.spark.ml.feature.JavaStandardScalerSuite: standardScaler 10068 ms
org.apache.spark.ml.feature.JavaStringIndexerSuite: testStringIndexer 10067 ms
org.apache.spark.ml.feature.JavaWord2VecSuite: testJavaWord2Vec 10067 ms
org.apache.spark.ml.feature.MinMaxScalerSuite: (It is not a test) 10040 ms
org.apache.spark.ml.feature.NGramSuite: (It is not a test) 10052 ms
org.apache.spark.ml.feature.NormalizerSuite: (It is not a test) 10060 ms
org.apache.spark.ml.feature.OneHotEncoderSuite: (It is not a test) 10055 ms
org.apache.spark.ml.feature.PCASuite: (It is not a test) 10036 ms
org.apache.spark.ml.feature.PolynomialExpansionSuite: (It is not a test) 10096 ms
org.apache.spark.ml.feature.QuantileDiscretizerSuite: (It is not a test) 10078 ms
org.apache.spark.ml.feature.RFormulaSuite: (It is not a test) 10067 ms
org.apache.spark.ml.feature.RegexTokenizerSuite: (It is not a test) 10050 ms
org.apache.spark.ml.feature.SQLTransformerSuite: (It is not a test) 10044 ms
org.apache.spark.ml.feature.StandardScalerSuite: (It is not a test) 10067 ms
org.apache.spark.ml.feature.StopWordsRemoverSuite: (It is not a test) 10038 ms
org.apache.spark.ml.feature.StringIndexerSuite: (It is not a test) 10040 ms
org.apache.spark.ml.feature.TokenizerSuite: (It is not a test) 10047 ms
org.apache.spark.ml.feature.VectorAssemblerSuite: (It is not a test) 10038 ms
org.apache.spark.ml.feature.VectorIndexerSuite: (It is not a test) 10047 ms
org.apache.spark.ml.feature.VectorSlicerSuite: (It is not a test) 10058 ms
org.apache.spark.ml.feature.Word2VecSuite: (It is not a test) 10088 ms
org.apache.spark.ml.optim.WeightedLeastSquaresSuite: (It is not a test) 10044 ms
org.apache.spark.ml.recommendation.ALSSuite: (It is not a test) 10041 ms
org.apache.spark.ml.regression.AFTSurvivalRegressionSuite: (It is not a test) 10050 ms
org.apache.spark.ml.regression.DecisionTreeRegressorSuite: (It is not a test) 10037 ms
org.apache.spark.ml.regression.GBTRegressorSuite: (It is not a test) 10055 ms
org.apache.spark.ml.regression.IsotonicRegressionSuite: (It is not a test) 10043 ms
org.apache.spark.ml.regression.LinearRegressionSuite: (It is not a test) 10037 ms
org.apache.spark.ml.regression.RandomForestRegressorSuite: (It is not a test) 10062 ms
org.apache.spark.ml.source.libsvm.LibSVMRelationSuite: (It is not a test) 10039 ms
org.apache.spark.ml.tree.impl.RandomForestSuite: (It is not a test) 10046 ms
org.apache.spark.ml.tuning.CrossValidatorSuite: (It is not a test) 10046 ms
org.apache.spark.ml.tuning.TrainValidationSplitSuite: (It is not a test) 10061 ms
org.apache.spark.ml.util.DefaultReadWriteSuite: (It is not a test) 10051 ms
org.apache.spark.ml.util.StopwatchSuite: (It is not a test) 10068 ms
org.apache.spark.mllib.classification.JavaSVMSuite: runSVMUsingConstructor 10062 ms
org.apache.spark.mllib.classification.JavaSVMSuite: runSVMUsingStaticMethods 10072 ms
org.apache.spark.mllib.classification.JavaStreamingLogisticRegressionSuite: javaAPI 10073 ms
org.apache.spark.mllib.classification.LogisticRegressionClusterSuite: (It is not a test) 10081 ms
org.apache.spark.mllib.classification.LogisticRegressionSuite: (It is not a test) 10058 ms
org.apache.spark.mllib.classification.NaiveBayesClusterSuite: (It is not a test) 10053 ms
org.apache.spark.mllib.classification.NaiveBayesSuite: (It is not a test) 10099 ms
org.apache.spark.mllib.classification.SVMClusterSuite: (It is not a test) 10051 ms
org.apache.spark.mllib.classification.SVMSuite: (It is not a test) 10107 ms
org.apache.spark.mllib.classification.StreamingLogisticRegressionSuite: parameter accuracy 10066 ms
org.apache.spark.mllib.classification.StreamingLogisticRegressionSuite: parameter convergence 10048 ms
org.apache.spark.mllib.classification.StreamingLogisticRegressionSuite: predictions 10043 ms
org.apache.spark.mllib.classification.StreamingLogisticRegressionSuite: training and prediction 10046 ms
org.apache.spark.mllib.classification.StreamingLogisticRegressionSuite: handling empty RDDs in a stream 10082 ms
org.apache.spark.mllib.clustering.BisectingKMeansSuite: (It is not a test) 10049 ms
org.apache.spark.mllib.clustering.GaussianMixtureSuite: (It is not a test) 10050 ms
org.apache.spark.mllib.clustering.JavaKMeansSuite: testPredictJavaRDD 10141 ms
org.apache.spark.mllib.clustering.JavaKMeansSuite: runKMeansUsingConstructor 10207 ms
org.apache.spark.mllib.clustering.JavaKMeansSuite: runKMeansUsingStaticMethods 10076 ms
org.apache.spark.mllib.clustering.KMeansClusterSuite: (It is not a test) 10054 ms
org.apache.spark.mllib.clustering.KMeansSuite: (It is not a test) 10043 ms
org.apache.spark.mllib.clustering.LDASuite: (It is not a test) 10048 ms
org.apache.spark.mllib.clustering.PowerIterationClusteringSuite: (It is not a test) 10046 ms
org.apache.spark.mllib.clustering.StreamingKMeansSuite: accuracy for single center and equivalence to grand average 10047 ms
org.apache.spark.mllib.clustering.StreamingKMeansSuite: accuracy for two centers 10041 ms
org.apache.spark.mllib.clustering.StreamingKMeansSuite: detecting dying clusters 10063 ms
org.apache.spark.mllib.evaluation.AreaUnderCurveSuite: (It is not a test) 10050 ms
org.apache.spark.mllib.evaluation.BinaryClassificationMetricsSuite: (It is not a test) 10054 ms
org.apache.spark.mllib.evaluation.MulticlassMetricsSuite: (It is not a test) 10109 ms
org.apache.spark.mllib.evaluation.MultilabelMetricsSuite: (It is not a test) 10147 ms
org.apache.spark.mllib.evaluation.RankingMetricsSuite: (It is not a test) 10041 ms
org.apache.spark.mllib.evaluation.RegressionMetricsSuite: (It is not a test) 10050 ms
org.apache.spark.mllib.feature.ChiSqSelectorSuite: (It is not a test) 10058 ms
org.apache.spark.mllib.feature.ElementwiseProductSuite: (It is not a test) 10057 ms
org.apache.spark.mllib.feature.HashingTFSuite: (It is not a test) 10054 ms
org.apache.spark.mllib.feature.IDFSuite: (It is not a test) 10058 ms
org.apache.spark.mllib.feature.NormalizerSuite: (It is not a test) 10064 ms
org.apache.spark.mllib.feature.PCASuite: (It is not a test) 10045 ms
org.apache.spark.mllib.feature.StandardScalerSuite: (It is not a test) 10051 ms
org.apache.spark.mllib.feature.Word2VecSuite: (It is not a test) 10072 ms
org.apache.spark.mllib.fpm.AssociationRulesSuite: (It is not a test) 10039 ms
org.apache.spark.mllib.fpm.FPGrowthSuite: (It is not a test) 10075 ms
org.apache.spark.mllib.fpm.FPTreeSuite: (It is not a test) 10065 ms
org.apache.spark.mllib.fpm.JavaPrefixSpanSuite: runPrefixSpan 10063 ms
org.apache.spark.mllib.fpm.PrefixSpanSuite: (It is not a test) 10035 ms
org.apache.spark.mllib.impl.PeriodicGraphCheckpointerSuite: (It is not a test) 10179 ms
org.apache.spark.mllib.impl.PeriodicRDDCheckpointerSuite: (It is not a test) 10036 ms
org.apache.spark.mllib.linalg.distributed.BlockMatrixSuite: (It is not a test) 10043 ms
org.apache.spark.mllib.linalg.distributed.CoordinateMatrixSuite: (It is not a test) 10040 ms
org.apache.spark.mllib.linalg.distributed.IndexedRowMatrixSuite: (It is not a test) 10049 ms
org.apache.spark.mllib.linalg.distributed.RowMatrixClusterSuite: (It is not a test) 10043 ms
org.apache.spark.mllib.linalg.distributed.RowMatrixSuite: (It is not a test) 10044 ms
org.apache.spark.mllib.optimization.GradientDescentClusterSuite: (It is not a test) 10044 ms
org.apache.spark.mllib.optimization.GradientDescentSuite: (It is not a test) 10066 ms
org.apache.spark.mllib.optimization.LBFGSClusterSuite: (It is not a test) 10050 ms
org.apache.spark.mllib.optimization.LBFGSSuite: (It is not a test) 10048 ms
org.apache.spark.mllib.random.RandomRDDsSuite: (It is not a test) 10038 ms
org.apache.spark.mllib.rdd.MLPairRDDFunctionsSuite: (It is not a test) 10044 ms
org.apache.spark.mllib.rdd.RDDFunctionsSuite: (It is not a test) 10085 ms
org.apache.spark.mllib.recommendation.ALSSuite: (It is not a test) 10040 ms
org.apache.spark.mllib.recommendation.MatrixFactorizationModelSuite: (It is not a test) 10042 ms
org.apache.spark.mllib.regression.IsotonicRegressionSuite: (It is not a test) 10046 ms
org.apache.spark.mllib.regression.JavaIsotonicRegressionSuite: testIsotonicRegressionJavaRDD 10069 ms
org.apache.spark.mllib.regression.JavaIsotonicRegressionSuite: testIsotonicRegressionPredictionsJavaRDD 10062 ms
org.apache.spark.mllib.regression.JavaLassoSuite: runLassoUsingConstructor 10094 ms
org.apache.spark.mllib.regression.JavaLassoSuite: runLassoUsingStaticMethods 10069 ms
org.apache.spark.mllib.regression.JavaLinearRegressionSuite: testPredictJavaRDD 10066 ms
org.apache.spark.mllib.regression.JavaLinearRegressionSuite: runLinearRegressionUsingStaticMethods 10065 ms
org.apache.spark.mllib.regression.JavaLinearRegressionSuite: runLinearRegressionUsingConstructor 10058 ms
org.apache.spark.mllib.regression.LassoClusterSuite: (It is not a test) 10050 ms
org.apache.spark.mllib.regression.LassoSuite: (It is not a test) 10034 ms
org.apache.spark.mllib.regression.LinearRegressionClusterSuite: (It is not a test) 10058 ms
org.apache.spark.mllib.regression.LinearRegressionSuite: (It is not a test) 10044 ms
org.apache.spark.mllib.regression.RidgeRegressionClusterSuite: (It is not a test) 10048 ms
org.apache.spark.mllib.regression.RidgeRegressionSuite: (It is not a test) 10055 ms
org.apache.spark.mllib.regression.StreamingLinearRegressionSuite: parameter accuracy 10147 ms
org.apache.spark.mllib.regression.StreamingLinearRegressionSuite: parameter convergence 10117 ms
org.apache.spark.mllib.regression.StreamingLinearRegressionSuite: predictions 10095 ms
org.apache.spark.mllib.regression.StreamingLinearRegressionSuite: training and prediction 10085 ms
org.apache.spark.mllib.regression.StreamingLinearRegressionSuite: handling empty RDDs in a stream 10054 ms
org.apache.spark.mllib.stat.CorrelationSuite: (It is not a test) 10052 ms
org.apache.spark.mllib.stat.HypothesisTestSuite: (It is not a test) 10073 ms
org.apache.spark.mllib.stat.KernelDensitySuite: (It is not a test) 10039 ms
org.apache.spark.mllib.stat.StreamingTestSuite: accuracy for null hypothesis using welch t-test 10190 ms
org.apache.spark.mllib.stat.StreamingTestSuite: accuracy for alternative hypothesis using welch t-test 10059 ms
org.apache.spark.mllib.stat.StreamingTestSuite: accuracy for null hypothesis using student t-test 10062 ms
org.apache.spark.mllib.stat.StreamingTestSuite: accuracy for alternative hypothesis using student t-test 10085 ms
org.apache.spark.mllib.stat.StreamingTestSuite: batches within same test window are grouped 10065 ms
org.apache.spark.mllib.stat.StreamingTestSuite: entries in peace period are dropped 10077 ms
org.apache.spark.mllib.stat.StreamingTestSuite: null hypothesis when only data from one group is present 10111 ms
org.apache.spark.mllib.stat.distribution.MultivariateGaussianSuite: (It is not a test) 10088 ms
org.apache.spark.mllib.tree.DecisionTreeSuite: (It is not a test) 10044 ms
org.apache.spark.mllib.tree.GradientBoostedTreesSuite: (It is not a test) 10064 ms
org.apache.spark.mllib.tree.RandomForestSuite: (It is not a test) 10047 ms
org.apache.spark.mllib.tree.impl.BaggedPointSuite: (It is not a test) 10065 ms
org.apache.spark.mllib.util.MLUtilsSuite: (It is not a test) 10118 ms
org.apache.spark.repl.ReplSuite: propagation of local properties 11130 ms
org.apache.spark.repl.ReplSuite: simple foreach with accumulator 15600 ms
org.apache.spark.repl.ReplSuite: external vars 12551 ms
org.apache.spark.repl.ReplSuite: external classes 11992 ms
org.apache.spark.repl.ReplSuite: external functions 11769 ms
org.apache.spark.repl.ReplSuite: external functions that access vars 11728 ms
org.apache.spark.repl.ReplSuite: broadcast vars 11631 ms
org.apache.spark.repl.ReplSuite: interacting with files 11426 ms
org.apache.spark.repl.ReplSuite: local-cluster mode 11666 ms
org.apache.spark.repl.ReplSuite: SPARK-1199 two instances of same class don't type check 12027 ms
org.apache.spark.repl.ReplSuite: SPARK-2452 compound statements 11472 ms
org.apache.spark.repl.ReplSuite: _ 11524 ms
org.apache.spark.repl.ReplSuite: SPARK-8461 SQL with codegen 11378 ms
org.apache.spark.repl.ReplSuite: Datasets and encoders 11759 ms
org.apache.spark.repl.ReplSuite: SPARK-2632 importing a method from non serializable class and not using it 11414 ms
org.apache.spark.repl.ReplSuite: Datasets agg type-inference 11777 ms
org.apache.spark.repl.ReplSuite: collecting objects of class defined in repl 11389 ms
org.apache.spark.repl.ReplSuite: collecting objects of class defined in repl - shuffling 11417 ms
org.apache.spark.streaming.BasicOperationsSuite: map 10033 ms
org.apache.spark.streaming.BasicOperationsSuite: flatMap 10035 ms
org.apache.spark.streaming.BasicOperationsSuite: filter 10049 ms
org.apache.spark.streaming.BasicOperationsSuite: glom 10036 ms
org.apache.spark.streaming.BasicOperationsSuite: mapPartitions 10035 ms
org.apache.spark.streaming.BasicOperationsSuite: repartition (more partitions) 10052 ms
org.apache.spark.streaming.BasicOperationsSuite: repartition (fewer partitions) 10039 ms
org.apache.spark.streaming.BasicOperationsSuite: groupByKey 10039 ms
org.apache.spark.streaming.BasicOperationsSuite: reduceByKey 10039 ms
org.apache.spark.streaming.BasicOperationsSuite: reduce 10061 ms
org.apache.spark.streaming.BasicOperationsSuite: count 10039 ms
org.apache.spark.streaming.BasicOperationsSuite: countByValue 10044 ms
org.apache.spark.streaming.BasicOperationsSuite: mapValues 10042 ms
org.apache.spark.streaming.BasicOperationsSuite: flatMapValues 10049 ms
org.apache.spark.streaming.BasicOperationsSuite: union 10063 ms
org.apache.spark.streaming.BasicOperationsSuite: union with input stream return None 10037 ms
org.apache.spark.streaming.BasicOperationsSuite: transform 10059 ms
org.apache.spark.streaming.BasicOperationsSuite: transform with NULL 10046 ms
org.apache.spark.streaming.BasicOperationsSuite: transform with input stream return None 10050 ms
org.apache.spark.streaming.BasicOperationsSuite: transformWith 10052 ms
org.apache.spark.streaming.BasicOperationsSuite: transformWith with input stream return None 10125 ms
org.apache.spark.streaming.BasicOperationsSuite: cogroup 10040 ms
org.apache.spark.streaming.BasicOperationsSuite: join 10042 ms
org.apache.spark.streaming.BasicOperationsSuite: leftOuterJoin 10046 ms
org.apache.spark.streaming.BasicOperationsSuite: rightOuterJoin 10039 ms
org.apache.spark.streaming.BasicOperationsSuite: fullOuterJoin 10045 ms
org.apache.spark.streaming.BasicOperationsSuite: updateStateByKey 10061 ms
org.apache.spark.streaming.BasicOperationsSuite: updateStateByKey - simple with initial value RDD 10093 ms
org.apache.spark.streaming.BasicOperationsSuite: updateStateByKey - with initial value RDD 10071 ms
org.apache.spark.streaming.BasicOperationsSuite: updateStateByKey - object lifecycle 10052 ms
org.apache.spark.streaming.BasicOperationsSuite: slice 10041 ms
org.apache.spark.streaming.BasicOperationsSuite: slice - has not been initialized 10046 ms
org.apache.spark.streaming.BasicOperationsSuite: rdd cleanup - map and window 10055 ms
org.apache.spark.streaming.BasicOperationsSuite: rdd cleanup - updateStateByKey 10061 ms
org.apache.spark.streaming.BasicOperationsSuite: rdd cleanup - input blocks and persisted RDDs 10053 ms
org.apache.spark.streaming.CheckpointSuite: basic rdd checkpoints + dstream graph checkpoint recovery 10078 ms
org.apache.spark.streaming.CheckpointSuite: recovery of conf through checkpoints 10043 ms
org.apache.spark.streaming.CheckpointSuite: [host|port] from checkpoint 10043 ms
org.apache.spark.streaming.CheckpointSuite: recovery with map and reduceByKey operations 10076 ms
org.apache.spark.streaming.CheckpointSuite: recovery with invertible reduceByKeyAndWindow operation 10056 ms
org.apache.spark.streaming.CheckpointSuite: recovery with saveAsHadoopFiles operation 10084 ms
org.apache.spark.streaming.CheckpointSuite: recovery with saveAsNewAPIHadoopFiles operation 10044 ms
org.apache.spark.streaming.CheckpointSuite: recovery with saveAsHadoopFile inside transform operation 10041 ms
org.apache.spark.streaming.CheckpointSuite: recovery with updateStateByKey operation 10045 ms
org.apache.spark.streaming.CheckpointSuite: recovery maintains rate controller 10038 ms
org.apache.spark.streaming.CheckpointSuite: recovery with file input stream 10050 ms
org.apache.spark.streaming.CheckpointSuite: restore invoking times 10071 ms
org.apache.spark.streaming.DStreamClosureSuite: (It is not a test) 10050 ms
org.apache.spark.streaming.DStreamScopeSuite: (It is not a test) 10034 ms
org.apache.spark.streaming.FailureSuite: multiple failures with map 10064 ms
org.apache.spark.streaming.FailureSuite: multiple failures with updateStateByKey 10068 ms
org.apache.spark.streaming.InputStreamsSuite: socket input stream 10071 ms
org.apache.spark.streaming.InputStreamsSuite: socket input stream - no block in a batch 10044 ms
org.apache.spark.streaming.InputStreamsSuite: binary records stream 10054 ms
org.apache.spark.streaming.InputStreamsSuite: file input stream - newFilesOnly = true 10042 ms
org.apache.spark.streaming.InputStreamsSuite: file input stream - newFilesOnly = false 10052 ms
org.apache.spark.streaming.InputStreamsSuite: multi-thread receiver 10044 ms
org.apache.spark.streaming.InputStreamsSuite: queue input stream - oneAtATime = true 10046 ms
org.apache.spark.streaming.InputStreamsSuite: queue input stream - oneAtATime = false 10042 ms
org.apache.spark.streaming.InputStreamsSuite: test track the number of input stream 10082 ms
org.apache.spark.streaming.JavaAPISuite: testStreamingContextTransform 10052 ms
org.apache.spark.streaming.JavaAPISuite: testFlatMapValues 10065 ms
org.apache.spark.streaming.JavaAPISuite: testReduceByWindowWithInverse 10103 ms
org.apache.spark.streaming.JavaAPISuite: testMapPartitions 10099 ms
org.apache.spark.streaming.JavaAPISuite: testPairFilter 10051 ms
org.apache.spark.streaming.JavaAPISuite: testRepartitionFewerPartitions 10054 ms
org.apache.spark.streaming.JavaAPISuite: testCombineByKey 10061 ms
org.apache.spark.streaming.JavaAPISuite: testContextGetOrCreate 10057 ms
org.apache.spark.streaming.JavaAPISuite: testWindowWithSlideDuration 10058 ms
org.apache.spark.streaming.JavaAPISuite: testQueueStream 10058 ms
org.apache.spark.streaming.JavaAPISuite: testCountByValue 10098 ms
org.apache.spark.streaming.JavaAPISuite: testMap 10078 ms
org.apache.spark.streaming.JavaAPISuite: testPairToNormalRDDTransform 10057 ms
org.apache.spark.streaming.JavaAPISuite: testPairReduceByKey 10064 ms
org.apache.spark.streaming.JavaAPISuite: testCount 10061 ms
org.apache.spark.streaming.JavaAPISuite: testCheckpointMasterRecovery 10195 ms
org.apache.spark.streaming.JavaAPISuite: testPairMap 10067 ms
org.apache.spark.streaming.JavaAPISuite: testUnion 10075 ms
org.apache.spark.streaming.JavaAPISuite: testFlatMap 10062 ms
org.apache.spark.streaming.JavaAPISuite: testReduceByKeyAndWindowWithInverse 10073 ms
org.apache.spark.streaming.JavaAPISuite: testGlom 10066 ms
org.apache.spark.streaming.JavaAPISuite: testJoin 10071 ms
org.apache.spark.streaming.JavaAPISuite: testPairFlatMap 10080 ms
org.apache.spark.streaming.JavaAPISuite: testPairToPairFlatMapWithChangingTypes 10068 ms
org.apache.spark.streaming.JavaAPISuite: testPairMapPartitions 10128 ms
org.apache.spark.streaming.JavaAPISuite: testRepartitionMorePartitions 10156 ms
org.apache.spark.streaming.JavaAPISuite: testReduceByWindowWithoutInverse 10071 ms
org.apache.spark.streaming.JavaAPISuite: testLeftOuterJoin 10070 ms
org.apache.spark.streaming.JavaAPISuite: testVariousTransform 10071 ms
org.apache.spark.streaming.JavaAPISuite: testTransformWith 10082 ms
org.apache.spark.streaming.JavaAPISuite: testVariousTransformWith 10072 ms
org.apache.spark.streaming.JavaAPISuite: testTextFileStream 10077 ms
org.apache.spark.streaming.JavaAPISuite: testPairGroupByKey 10080 ms
org.apache.spark.streaming.JavaAPISuite: testCoGroup 10061 ms
org.apache.spark.streaming.JavaAPISuite: testInitialization 10117 ms
org.apache.spark.streaming.JavaAPISuite: testSocketString 10078 ms
org.apache.spark.streaming.JavaAPISuite: testGroupByKeyAndWindow 10051 ms
org.apache.spark.streaming.JavaAPISuite: testReduceByKeyAndWindow 10197 ms
org.apache.spark.streaming.JavaAPISuite: testForeachRDD 10069 ms
org.apache.spark.streaming.JavaAPISuite: testFileStream 10103 ms
org.apache.spark.streaming.JavaAPISuite: testPairTransform 10091 ms
org.apache.spark.streaming.JavaAPISuite: testFilter 10100 ms
org.apache.spark.streaming.JavaAPISuite: testPairMap2 10087 ms
org.apache.spark.streaming.JavaAPISuite: testMapValues 10078 ms
org.apache.spark.streaming.JavaAPISuite: testReduce 10079 ms
org.apache.spark.streaming.JavaAPISuite: testUpdateStateByKey 10073 ms
org.apache.spark.streaming.JavaAPISuite: testTransform 10130 ms
org.apache.spark.streaming.JavaAPISuite: testWindow 10108 ms
org.apache.spark.streaming.JavaAPISuite: testCountByValueAndWindow 10083 ms
org.apache.spark.streaming.JavaAPISuite: testRawSocketStream 10079 ms
org.apache.spark.streaming.JavaAPISuite: testSocketTextStream 10089 ms
org.apache.spark.streaming.JavaAPISuite: testUpdateStateByKeyWithInitial 10091 ms
org.apache.spark.streaming.JavaAPISuite: testContextState 10080 ms
org.apache.spark.streaming.JavaMapWithStateSuite: testBasicFunction 10064 ms
org.apache.spark.streaming.JavaReceiverAPISuite: testReceiver 10089 ms
org.apache.spark.streaming.MapWithStateSuite: (It is not a test) 10033 ms
org.apache.spark.streaming.ReceiverInputDStreamSuite: Without WAL enabled: createBlockRDD creates empty BlockRDD when no block info 10042 ms
org.apache.spark.streaming.ReceiverInputDStreamSuite: Without WAL enabled: createBlockRDD creates correct BlockRDD with block info 10044 ms
org.apache.spark.streaming.ReceiverInputDStreamSuite: Without WAL enabled: createBlockRDD filters non-existent blocks before creating BlockRDD 10406 ms
org.apache.spark.streaming.ReceiverInputDStreamSuite: With WAL enabled: createBlockRDD creates empty WALBackedBlockRDD when no block info 10034 ms
org.apache.spark.streaming.ReceiverInputDStreamSuite: With WAL enabled: createBlockRDD creates correct WALBackedBlockRDD with all block info having WAL info 10041 ms
org.apache.spark.streaming.ReceiverInputDStreamSuite: With WAL enabled: createBlockRDD creates BlockRDD when some block info dont have WAL info 10042 ms
org.apache.spark.streaming.ReceiverSuite: write ahead log - generating and cleaning 10065 ms
org.apache.spark.streaming.StreamingContextSuite: from no conf constructor 10073 ms
org.apache.spark.streaming.StreamingContextSuite: from no conf + spark home 10056 ms
org.apache.spark.streaming.StreamingContextSuite: from no conf + spark home + env 10064 ms
org.apache.spark.streaming.StreamingContextSuite: from conf with settings 10054 ms
org.apache.spark.streaming.StreamingContextSuite: from existing SparkContext 10072 ms
org.apache.spark.streaming.StreamingContextSuite: from existing SparkContext with settings 10050 ms
org.apache.spark.streaming.StreamingContextSuite: from checkpoint 10045 ms
org.apache.spark.streaming.StreamingContextSuite: checkPoint from conf 10045 ms
org.apache.spark.streaming.StreamingContextSuite: start and stop state check 10048 ms
org.apache.spark.streaming.StreamingContextSuite: start with non-seriazable DStream checkpoints 10042 ms
org.apache.spark.streaming.StreamingContextSuite: start failure should stop internal components 10044 ms
org.apache.spark.streaming.StreamingContextSuite: start should set job group and description of streaming jobs correctly 10043 ms
org.apache.spark.streaming.StreamingContextSuite: start multiple times 10057 ms
org.apache.spark.streaming.StreamingContextSuite: stop multiple times 10052 ms
org.apache.spark.streaming.StreamingContextSuite: stop before start 10044 ms
org.apache.spark.streaming.StreamingContextSuite: start after stop 10040 ms
org.apache.spark.streaming.StreamingContextSuite: stop only streaming context 10041 ms
org.apache.spark.streaming.StreamingContextSuite: stop(stopSparkContext=true) after stop(stopSparkContext=false) 10052 ms
org.apache.spark.streaming.StreamingContextSuite: stop gracefully 10055 ms
org.apache.spark.streaming.StreamingContextSuite: stop gracefully even if a receiver misses StopReceiver 10040 ms
org.apache.spark.streaming.StreamingContextSuite: stop slow receiver gracefully 10038 ms
org.apache.spark.streaming.StreamingContextSuite: registering and de-registering of streamingSource 10040 ms
org.apache.spark.streaming.StreamingContextSuite: awaitTermination 10054 ms
org.apache.spark.streaming.StreamingContextSuite: awaitTermination after stop 10071 ms
org.apache.spark.streaming.StreamingContextSuite: awaitTermination with error in task 10046 ms
org.apache.spark.streaming.StreamingContextSuite: awaitTermination with error in job generation 10041 ms
org.apache.spark.streaming.StreamingContextSuite: awaitTerminationOrTimeout 10082 ms
org.apache.spark.streaming.StreamingContextSuite: getOrCreate 10214 ms
org.apache.spark.streaming.StreamingContextSuite: getActive and getActiveOrCreate 10035 ms
org.apache.spark.streaming.StreamingContextSuite: getActiveOrCreate with checkpoint 10056 ms
org.apache.spark.streaming.StreamingContextSuite: multiple streaming contexts 10050 ms
org.apache.spark.streaming.StreamingContextSuite: DStream and generated RDD creation sites 10047 ms
org.apache.spark.streaming.StreamingContextSuite: throw exception on using active or stopped context 10040 ms
org.apache.spark.streaming.StreamingContextSuite: queueStream doesn't support checkpointing 10043 ms
org.apache.spark.streaming.StreamingContextSuite: Creating an InputDStream but not using it should not crash 10046 ms
org.apache.spark.streaming.StreamingListenerSuite: batch info reporting 10044 ms
org.apache.spark.streaming.StreamingListenerSuite: receiver info reporting 10046 ms
org.apache.spark.streaming.StreamingListenerSuite: output operation reporting 10044 ms
org.apache.spark.streaming.StreamingListenerSuite: stop in listener 10091 ms
org.apache.spark.streaming.StreamingListenerSuite: onBatchCompleted with successful batch 10098 ms
org.apache.spark.streaming.StreamingListenerSuite: onBatchCompleted with failed batch and one failed job 10049 ms
org.apache.spark.streaming.StreamingListenerSuite: onBatchCompleted with failed batch and multiple failed jobs 10040 ms
org.apache.spark.streaming.UISeleniumSuite: attaching and detaching a Streaming tab 10050 ms
org.apache.spark.streaming.WindowOperationsSuite: window - basic window 10054 ms
org.apache.spark.streaming.WindowOperationsSuite: window - tumbling window 10053 ms
org.apache.spark.streaming.WindowOperationsSuite: window - larger window 10052 ms
org.apache.spark.streaming.WindowOperationsSuite: window - non-overlapping window 10049 ms
org.apache.spark.streaming.WindowOperationsSuite: window - persistence level 10052 ms
org.apache.spark.streaming.WindowOperationsSuite: reduceByKeyAndWindow - basic reduction 10042 ms
org.apache.spark.streaming.WindowOperationsSuite: reduceByKeyAndWindow - key already in window and new value added into window 10294 ms
org.apache.spark.streaming.WindowOperationsSuite: reduceByKeyAndWindow - new key added into window 10085 ms
org.apache.spark.streaming.WindowOperationsSuite: reduceByKeyAndWindow - key removed from window 10071 ms
org.apache.spark.streaming.WindowOperationsSuite: reduceByKeyAndWindow - larger slide time 10053 ms
org.apache.spark.streaming.WindowOperationsSuite: reduceByKeyAndWindow - big test 10052 ms
org.apache.spark.streaming.WindowOperationsSuite: reduceByKeyAndWindow with inverse function - basic reduction 10046 ms
org.apache.spark.streaming.WindowOperationsSuite: reduceByKeyAndWindow with inverse function - key already in window and new value added into window 10047 ms
org.apache.spark.streaming.WindowOperationsSuite: reduceByKeyAndWindow with inverse function - new key added into window 10081 ms
org.apache.spark.streaming.WindowOperationsSuite: reduceByKeyAndWindow with inverse function - key removed from window 10051 ms
org.apache.spark.streaming.WindowOperationsSuite: reduceByKeyAndWindow with inverse function - larger slide time 10051 ms
org.apache.spark.streaming.WindowOperationsSuite: reduceByKeyAndWindow with inverse function - big test 10047 ms
org.apache.spark.streaming.WindowOperationsSuite: reduceByKeyAndWindow with inverse and filter functions - big test 10051 ms
org.apache.spark.streaming.WindowOperationsSuite: groupByKeyAndWindow 10047 ms
org.apache.spark.streaming.WindowOperationsSuite: countByWindow 10047 ms
org.apache.spark.streaming.WindowOperationsSuite: countByValueAndWindow 10165 ms
org.apache.spark.streaming.rdd.MapWithStateRDDSuite: (It is not a test) 10036 ms
org.apache.spark.streaming.rdd.WriteAheadLogBackedBlockRDDSuite: (It is not a test) 10061 ms
org.apache.spark.streaming.scheduler.InputInfoTrackerSuite: (It is not a test) 10071 ms
org.apache.spark.streaming.scheduler.RateControllerSuite: RateController - rate controller publishes updates after batches complete 11483 ms
org.apache.spark.streaming.scheduler.RateControllerSuite: ReceiverRateController - published rates reach receivers 10076 ms
org.apache.spark.streaming.scheduler.ReceiverTrackerSuite: send rate update to receivers 10048 ms
org.apache.spark.streaming.scheduler.ReceiverTrackerSuite: should restart receiver after stopping it 10044 ms
org.apache.spark.streaming.scheduler.ReceiverTrackerSuite: SPARK-11063: TaskSetManager should use Receiver RDD's preferredLocations 10119 ms
org.apache.spark.streaming.ui.StreamingJobProgressListenerSuite: onBatchSubmitted, onBatchStarted, onBatchCompleted, onReceiverStarted, onReceiverError, onReceiverStopped 10074 ms
org.apache.spark.streaming.ui.StreamingJobProgressListenerSuite: Remove the old completed batches when exceeding the limit 10106 ms
org.apache.spark.streaming.ui.StreamingJobProgressListenerSuite: out-of-order onJobStart and onBatchXXX 10051 ms
org.apache.spark.streaming.ui.StreamingJobProgressListenerSuite: detect memory leak 10051 ms
org.apache.spark.deploy.yarn.YarnClusterSuite: run Spark in yarn-client mode 120074 ms
org.apache.spark.deploy.yarn.YarnClusterSuite: run Spark in yarn-cluster mode 53035 ms
org.apache.spark.deploy.yarn.YarnClusterSuite: run Python application in yarn-client mode 120066 ms
org.apache.spark.deploy.yarn.YarnClusterSuite: run Python application in yarn-cluster mode 52037 ms
org.apache.spark.deploy.yarn.YarnClusterSuite: user class path first in client mode 120069 ms
org.apache.spark.deploy.yarn.YarnClusterSuite: user class path first in cluster mode 52035 ms
org.apache.spark.deploy.yarn.YarnClusterSuite: monitor app using launcher library 30066 ms
org.apache.spark.deploy.yarn.YarnShuffleIntegrationSuite: external shuffle service 53108 ms
org.apache.spark.scheduler.cluster.ExtensionServiceIntegrationSuite: (It is not a test) 10453 ms

Test time report

Right click on the visualization to go back up a level. Click on a node to expand it. Hover over a node to see the combined duration of tests under that node.