Details for spark-master-test-sbt-hadoop-2.4 build #80

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Duration
210 minutes
Start time
2016-01-11 04:00:13 ()
Commit
3ab0138b0fe0f9208b4b476855294a7c729583b7
Executor
amp-jenkins-worker-06
Status
ABORTED

Failed tests

org.apache.spark.AccumulatorSuite: basic accumulation 10110 ms
org.apache.spark.AccumulatorSuite: value not assignable from tasks 10127 ms
org.apache.spark.AccumulatorSuite: add value to collection accumulators 10120 ms
org.apache.spark.AccumulatorSuite: value not readable in tasks 10128 ms
org.apache.spark.AccumulatorSuite: collection accumulators 10137 ms
org.apache.spark.AccumulatorSuite: localValue readable in tasks 10199 ms
org.apache.spark.AccumulatorSuite: garbage collection 10125 ms
org.apache.spark.AccumulatorSuite: internal accumulators in TaskContext 10289 ms
org.apache.spark.AccumulatorSuite: internal accumulators in a stage 10138 ms
org.apache.spark.AccumulatorSuite: internal accumulators in multiple stages 10123 ms
org.apache.spark.AccumulatorSuite: internal accumulators in fully resubmitted stages 10139 ms
org.apache.spark.AccumulatorSuite: internal accumulators in partially resubmitted stages 10127 ms
org.apache.spark.CacheManagerSuite: (It is not a test) 10034 ms
org.apache.spark.CheckpointSuite: (It is not a test) 11039 ms
org.apache.spark.ContextCleanerSuite: (It is not a test) 10622 ms
org.apache.spark.DistributedSuite: task throws not serializable exception 10083 ms
org.apache.spark.DistributedSuite: local-cluster format 10082 ms
org.apache.spark.DistributedSuite: simple groupByKey 10080 ms
org.apache.spark.DistributedSuite: groupByKey where map output sizes exceed maxMbInFlight 10134 ms
org.apache.spark.DistributedSuite: accumulators 10082 ms
org.apache.spark.DistributedSuite: broadcast variables 10085 ms
org.apache.spark.DistributedSuite: repeatedly failing task 10121 ms
org.apache.spark.DistributedSuite: repeatedly failing task that crashes JVM 10074 ms
org.apache.spark.DistributedSuite: caching 10083 ms
org.apache.spark.DistributedSuite: caching on disk 10102 ms
org.apache.spark.DistributedSuite: caching in memory, replicated 13679 ms
org.apache.spark.DistributedSuite: caching in memory, serialized, replicated 10078 ms
org.apache.spark.DistributedSuite: caching on disk, replicated 10079 ms
org.apache.spark.DistributedSuite: caching in memory and disk, replicated 10087 ms
org.apache.spark.DistributedSuite: caching in memory and disk, serialized, replicated 10138 ms
org.apache.spark.DistributedSuite: compute without caching when no partitions fit in memory 10363 ms
org.apache.spark.DistributedSuite: compute when only some partitions fit in memory 10085 ms
org.apache.spark.DistributedSuite: passing environment variables to cluster 10777 ms
org.apache.spark.DistributedSuite: recover from node failures 10093 ms
org.apache.spark.DistributedSuite: recover from repeated node failures during shuffle-map 10080 ms
org.apache.spark.DistributedSuite: recover from repeated node failures during shuffle-reduce 10138 ms
org.apache.spark.DistributedSuite: recover from node failures with replication 10114 ms
org.apache.spark.DistributedSuite: unpersist RDDs 10087 ms
org.apache.spark.ExecutorAllocationManagerSuite: verify min/max executors 10146 ms
org.apache.spark.ExecutorAllocationManagerSuite: starting state 10262 ms
org.apache.spark.ExecutorAllocationManagerSuite: add executors 10118 ms
org.apache.spark.ExecutorAllocationManagerSuite: add executors capped by num pending tasks 10118 ms
org.apache.spark.ExecutorAllocationManagerSuite: cancel pending executors when no longer needed 10150 ms
org.apache.spark.ExecutorAllocationManagerSuite: remove executors 10133 ms
org.apache.spark.ExecutorAllocationManagerSuite: interleaving add and remove 10151 ms
org.apache.spark.ExecutorAllocationManagerSuite: starting/canceling add timer 10271 ms
org.apache.spark.ExecutorAllocationManagerSuite: starting/canceling remove timers 10143 ms
org.apache.spark.ExecutorAllocationManagerSuite: mock polling loop with no events 10138 ms
org.apache.spark.ExecutorAllocationManagerSuite: mock polling loop add behavior 10181 ms
org.apache.spark.ExecutorAllocationManagerSuite: mock polling loop remove behavior 10202 ms
org.apache.spark.ExecutorAllocationManagerSuite: listeners trigger add executors correctly 10128 ms
org.apache.spark.ExecutorAllocationManagerSuite: listeners trigger remove executors correctly 10231 ms
org.apache.spark.ExecutorAllocationManagerSuite: listeners trigger add and remove executor callbacks correctly 10203 ms
org.apache.spark.ExecutorAllocationManagerSuite: SPARK-4951: call onTaskStart before onBlockManagerAdded 10869 ms
org.apache.spark.ExecutorAllocationManagerSuite: SPARK-4951: onExecutorAdded should not add a busy executor to removeTimes 10133 ms
org.apache.spark.ExecutorAllocationManagerSuite: avoid ramp up when target < running executors 10142 ms
org.apache.spark.ExecutorAllocationManagerSuite: avoid ramp down initial executors until first job is submitted 10155 ms
org.apache.spark.ExecutorAllocationManagerSuite: avoid ramp down initial executors until idle executor is timeout 10240 ms
org.apache.spark.ExecutorAllocationManagerSuite: get pending task number and related locality preference 10135 ms
org.apache.spark.ExecutorAllocationManagerSuite: SPARK-8366: maxNumExecutorsNeeded should properly handle failed tasks 10745 ms
org.apache.spark.ExecutorAllocationManagerSuite: reset the state of allocation manager 10568 ms
org.apache.spark.ExternalShuffleServiceSuite: groupByKey without compression 10106 ms
org.apache.spark.ExternalShuffleServiceSuite: shuffle non-zero block size 10108 ms
org.apache.spark.ExternalShuffleServiceSuite: shuffle serializer 10106 ms
org.apache.spark.ExternalShuffleServiceSuite: zero sized blocks 10110 ms
org.apache.spark.ExternalShuffleServiceSuite: zero sized blocks without kryo 10189 ms
org.apache.spark.ExternalShuffleServiceSuite: shuffle on mutable pairs 10145 ms
org.apache.spark.ExternalShuffleServiceSuite: sorting on mutable pairs 10116 ms
org.apache.spark.ExternalShuffleServiceSuite: cogroup using mutable pairs 10103 ms
org.apache.spark.ExternalShuffleServiceSuite: subtract mutable pairs 10107 ms
org.apache.spark.ExternalShuffleServiceSuite: sort with Java non serializable class - Kryo 10093 ms
org.apache.spark.ExternalShuffleServiceSuite: sort with Java non serializable class - Java 10112 ms
org.apache.spark.ExternalShuffleServiceSuite: shuffle with different compression settings (SPARK-3426) 10099 ms
org.apache.spark.ExternalShuffleServiceSuite: [SPARK-4085] rerun map stage if reduce stage cannot find its local shuffle file 10107 ms
org.apache.spark.ExternalShuffleServiceSuite: metrics for shuffle without aggregation 10141 ms
org.apache.spark.ExternalShuffleServiceSuite: metrics for shuffle with aggregation 10102 ms
org.apache.spark.ExternalShuffleServiceSuite: multiple simultaneous attempts for one task (SPARK-8029) 10181 ms
org.apache.spark.ExternalShuffleServiceSuite: using external shuffle service 10389 ms
org.apache.spark.FailureSuite: failure in a single-stage job 10100 ms
org.apache.spark.FailureSuite: failure in a two-stage job 10087 ms
org.apache.spark.FailureSuite: failure in a map stage 10150 ms
org.apache.spark.FailureSuite: failure because task results are not serializable 10094 ms
org.apache.spark.FailureSuite: failure because task closure is not serializable 10088 ms
org.apache.spark.FailureSuite: managed memory leak error should not mask other failures (SPARK-9266 10089 ms
org.apache.spark.FailureSuite: last failure cause is sent back to driver 10854 ms
org.apache.spark.FailureSuite: failure cause stacktrace is sent back to driver if exception is not serializable 10099 ms
org.apache.spark.FailureSuite: failure cause stacktrace is sent back to driver if exception is not deserializable 10092 ms
org.apache.spark.FailureSuite: failure in tasks in a submitMapStage 10161 ms
org.apache.spark.FileServerSuite: Distributing files locally 10035 ms
org.apache.spark.FileServerSuite: Distributing files locally security On 10048 ms
org.apache.spark.FileServerSuite: Distributing files locally using URL as input 10054 ms
org.apache.spark.FileServerSuite: Dynamically adding JARS locally 10062 ms
org.apache.spark.FileServerSuite: Distributing files on a standalone cluster 10068 ms
org.apache.spark.FileServerSuite: Dynamically adding JARS on a standalone cluster 10298 ms
org.apache.spark.FileServerSuite: Dynamically adding JARS on a standalone cluster using local: URL 10042 ms
org.apache.spark.FileSuite: text files 10047 ms
org.apache.spark.FileSuite: text files (compressed) 10048 ms
org.apache.spark.FileSuite: SequenceFiles 10208 ms
org.apache.spark.FileSuite: SequenceFile (compressed) 10064 ms
org.apache.spark.FileSuite: SequenceFile with writable key 10050 ms
org.apache.spark.FileSuite: SequenceFile with writable value 10042 ms
org.apache.spark.FileSuite: SequenceFile with writable key and value 10076 ms
org.apache.spark.FileSuite: implicit conversions in reading SequenceFiles 10047 ms
org.apache.spark.FileSuite: object files of ints 10053 ms
org.apache.spark.FileSuite: object files of complex types 10109 ms
org.apache.spark.FileSuite: object files of classes from a JAR 10218 ms
org.apache.spark.FileSuite: write SequenceFile using new Hadoop API 10128 ms
org.apache.spark.FileSuite: read SequenceFile using new Hadoop API 10057 ms
org.apache.spark.FileSuite: binary file input as byte array 10065 ms
org.apache.spark.FileSuite: portabledatastream caching tests 10046 ms
org.apache.spark.FileSuite: portabledatastream persist disk storage 10259 ms
org.apache.spark.FileSuite: portabledatastream flatmap tests 10719 ms
org.apache.spark.FileSuite: fixed record length binary file as byte array 10502 ms
org.apache.spark.FileSuite: negative binary record length should raise an exception 10104 ms
org.apache.spark.FileSuite: file caching 10051 ms
org.apache.spark.FileSuite: prevent user from overwriting the empty directory (old Hadoop API) 10047 ms
org.apache.spark.FileSuite: prevent user from overwriting the non-empty directory (old Hadoop API) 10051 ms
org.apache.spark.FileSuite: allow user to disable the output directory existence checking (old Hadoop API 10054 ms
org.apache.spark.FileSuite: prevent user from overwriting the empty directory (new Hadoop API) 10052 ms
org.apache.spark.FileSuite: prevent user from overwriting the non-empty directory (new Hadoop API) 10051 ms
org.apache.spark.FileSuite: allow user to disable the output directory existence checking (new Hadoop API 10054 ms
org.apache.spark.FileSuite: save Hadoop Dataset through old Hadoop API 10048 ms
org.apache.spark.FileSuite: save Hadoop Dataset through new Hadoop API 10062 ms
org.apache.spark.FileSuite: Get input files via old Hadoop API 10086 ms
org.apache.spark.FileSuite: Get input files via new Hadoop API 10218 ms
org.apache.spark.FutureActionSuite: (It is not a test) 10096 ms
org.apache.spark.HashShuffleSuite: groupByKey without compression 10040 ms
org.apache.spark.HashShuffleSuite: shuffle non-zero block size 10923 ms
org.apache.spark.HashShuffleSuite: shuffle serializer 10038 ms
org.apache.spark.HashShuffleSuite: zero sized blocks 13837 ms
org.apache.spark.HashShuffleSuite: zero sized blocks without kryo 10466 ms
org.apache.spark.HashShuffleSuite: shuffle on mutable pairs 10047 ms
org.apache.spark.HashShuffleSuite: sorting on mutable pairs 10408 ms
org.apache.spark.HashShuffleSuite: cogroup using mutable pairs 10038 ms
org.apache.spark.HashShuffleSuite: subtract mutable pairs 10037 ms
org.apache.spark.HashShuffleSuite: sort with Java non serializable class - Kryo 10709 ms
org.apache.spark.HashShuffleSuite: sort with Java non serializable class - Java 10037 ms
org.apache.spark.HashShuffleSuite: shuffle with different compression settings (SPARK-3426) 10043 ms
org.apache.spark.HashShuffleSuite: [SPARK-4085] rerun map stage if reduce stage cannot find its local shuffle file 10049 ms
org.apache.spark.HashShuffleSuite: metrics for shuffle without aggregation 10045 ms
org.apache.spark.HashShuffleSuite: metrics for shuffle with aggregation 10220 ms
org.apache.spark.HashShuffleSuite: multiple simultaneous attempts for one task (SPARK-8029) 10038 ms
org.apache.spark.HeartbeatReceiverSuite: (It is not a test) 10078 ms
org.apache.spark.ImplicitOrderingSuite: basic inference of Orderings 10455 ms
org.apache.spark.JavaAPISuite: groupByOnPairRDD 10164 ms
org.apache.spark.JavaAPISuite: binaryFilesCaching 10161 ms
org.apache.spark.JavaAPISuite: sparkContextUnion 10237 ms
org.apache.spark.JavaAPISuite: checkpointAndComputation 10131 ms
org.apache.spark.JavaAPISuite: leftOuterJoin 10138 ms
org.apache.spark.JavaAPISuite: keyByOnPairRDD 10893 ms
org.apache.spark.JavaAPISuite: getNumPartitions 10147 ms
org.apache.spark.JavaAPISuite: wholeTextFiles 10125 ms
org.apache.spark.JavaAPISuite: binaryFiles 10166 ms
org.apache.spark.JavaAPISuite: foldReduce 10376 ms
org.apache.spark.JavaAPISuite: writeWithNewAPIHadoopFile 10164 ms
org.apache.spark.JavaAPISuite: hadoopFile 10137 ms
org.apache.spark.JavaAPISuite: lookup 10218 ms
org.apache.spark.JavaAPISuite: countAsync 10152 ms
org.apache.spark.JavaAPISuite: textFiles 10140 ms
org.apache.spark.JavaAPISuite: binaryRecords 10227 ms
org.apache.spark.JavaAPISuite: toLocalIterator 10734 ms
org.apache.spark.JavaAPISuite: repartitionAndSortWithinPartitions 10137 ms
org.apache.spark.JavaAPISuite: reduce 10255 ms
org.apache.spark.JavaAPISuite: sample 10176 ms
org.apache.spark.JavaAPISuite: sortBy 10264 ms
org.apache.spark.JavaAPISuite: mapsFromPairsToPairs 10154 ms
org.apache.spark.JavaAPISuite: flatMap 10134 ms
org.apache.spark.JavaAPISuite: cogroup3 10793 ms
org.apache.spark.JavaAPISuite: cogroup4 10178 ms
org.apache.spark.JavaAPISuite: randomSplit 10164 ms
org.apache.spark.JavaAPISuite: persist 10267 ms
org.apache.spark.JavaAPISuite: foreach 10284 ms
org.apache.spark.JavaAPISuite: hadoopFileCompressed 10209 ms
org.apache.spark.JavaAPISuite: accumulators 10138 ms
org.apache.spark.JavaAPISuite: textFilesCompressed 10196 ms
org.apache.spark.JavaAPISuite: testAsyncActionCancellation 10134 ms
org.apache.spark.JavaAPISuite: checkpointAndRestore 10158 ms
org.apache.spark.JavaAPISuite: sortByKey 10161 ms
org.apache.spark.JavaAPISuite: aggregateByKey 10161 ms
org.apache.spark.JavaAPISuite: map 10284 ms
org.apache.spark.JavaAPISuite: max 10144 ms
org.apache.spark.JavaAPISuite: min 10263 ms
org.apache.spark.JavaAPISuite: top 10176 ms
org.apache.spark.JavaAPISuite: zip 10215 ms
org.apache.spark.JavaAPISuite: fold 10272 ms
org.apache.spark.JavaAPISuite: glom 10157 ms
org.apache.spark.JavaAPISuite: take 10226 ms
org.apache.spark.JavaAPISuite: javaDoubleRDDHistoGram 10238 ms
org.apache.spark.JavaAPISuite: collectUnderlyingScalaRDD 10164 ms
org.apache.spark.JavaAPISuite: keyBy 10146 ms
org.apache.spark.JavaAPISuite: mapPartitionsWithIndex 10160 ms
org.apache.spark.JavaAPISuite: sampleByKey 10128 ms
org.apache.spark.JavaAPISuite: intersection 10257 ms
org.apache.spark.JavaAPISuite: aggregate 10254 ms
org.apache.spark.JavaAPISuite: cartesian 10165 ms
org.apache.spark.JavaAPISuite: countApproxDistinctByKey 10176 ms
org.apache.spark.JavaAPISuite: readWithNewAPIHadoopFile 10165 ms
org.apache.spark.JavaAPISuite: testRegisterKryoClasses 10190 ms
org.apache.spark.JavaAPISuite: groupBy 10159 ms
org.apache.spark.JavaAPISuite: sampleByKeyExact 10137 ms
org.apache.spark.JavaAPISuite: mapPartitions 10147 ms
org.apache.spark.JavaAPISuite: takeOrdered 10209 ms
org.apache.spark.JavaAPISuite: foldByKey 10279 ms
org.apache.spark.JavaAPISuite: objectFilesOfInts 10147 ms
org.apache.spark.JavaAPISuite: treeAggregate 10139 ms
org.apache.spark.JavaAPISuite: approximateResults 10248 ms
org.apache.spark.JavaAPISuite: treeReduce 10232 ms
org.apache.spark.JavaAPISuite: collectAsMapAndSerialize 10291 ms
org.apache.spark.JavaAPISuite: countApproxDistinct 10173 ms
org.apache.spark.JavaAPISuite: javaDoubleRDD 10146 ms
org.apache.spark.JavaAPISuite: mapOnPairRDD 10161 ms
org.apache.spark.JavaAPISuite: testAsyncActionErrorWrapping 10177 ms
org.apache.spark.JavaAPISuite: naturalMax 10241 ms
org.apache.spark.JavaAPISuite: naturalMin 10165 ms
org.apache.spark.JavaAPISuite: sequenceFile 10168 ms
org.apache.spark.JavaAPISuite: collectPartitions 10256 ms
org.apache.spark.JavaAPISuite: cogroup 10136 ms
org.apache.spark.JavaAPISuite: reduceByKey 10163 ms
org.apache.spark.JavaAPISuite: repartition 10153 ms
org.apache.spark.JavaAPISuite: iterator 10248 ms
org.apache.spark.JavaAPISuite: emptyRDD 10152 ms
org.apache.spark.JavaAPISuite: zipWithIndex 10149 ms
org.apache.spark.JavaAPISuite: foreachPartition 10284 ms
org.apache.spark.JavaAPISuite: combineByKey 10139 ms
org.apache.spark.JavaAPISuite: takeAsync 10540 ms
org.apache.spark.JavaAPISuite: collectAsMapWithIntArrayValues 10155 ms
org.apache.spark.JavaAPISuite: objectFilesOfComplexTypes 10157 ms
org.apache.spark.JavaAPISuite: zipWithUniqueId 10155 ms
org.apache.spark.JavaAPISuite: collectAsync 10285 ms
org.apache.spark.JavaAPISuite: foreachAsync 10173 ms
org.apache.spark.JavaAPISuite: zipPartitions 10151 ms
org.apache.spark.JavaAPISuite: reduceOnJavaDoubleRDD 10168 ms
org.apache.spark.JavaAPISuite: isEmpty 10236 ms
org.apache.spark.JavaJdbcRDDSuite: testJavaJdbcRDD 10154 ms
org.apache.spark.JobCancellationSuite: local mode, FIFO scheduler 10108 ms
org.apache.spark.JobCancellationSuite: local mode, fair scheduler 10117 ms
org.apache.spark.JobCancellationSuite: cluster mode, FIFO scheduler 10124 ms
org.apache.spark.JobCancellationSuite: cluster mode, fair scheduler 10187 ms
org.apache.spark.JobCancellationSuite: do not put partially executed partitions into cache 10126 ms
org.apache.spark.JobCancellationSuite: job group 10202 ms
org.apache.spark.JobCancellationSuite: inherited job group (SPARK-6629) 10122 ms
org.apache.spark.JobCancellationSuite: job group with interruption 10147 ms
org.apache.spark.JobCancellationSuite: two jobs sharing the same stage 10125 ms
org.apache.spark.PartitioningSuite: (It is not a test) 10941 ms
org.apache.spark.ShuffleNettySuite: groupByKey without compression 10171 ms
org.apache.spark.ShuffleNettySuite: shuffle non-zero block size 10130 ms
org.apache.spark.ShuffleNettySuite: shuffle serializer 10121 ms
org.apache.spark.ShuffleNettySuite: zero sized blocks 10124 ms
org.apache.spark.ShuffleNettySuite: zero sized blocks without kryo 11666 ms
org.apache.spark.ShuffleNettySuite: shuffle on mutable pairs 10663 ms
org.apache.spark.ShuffleNettySuite: sorting on mutable pairs 10598 ms
org.apache.spark.ShuffleNettySuite: cogroup using mutable pairs 10108 ms
org.apache.spark.ShuffleNettySuite: subtract mutable pairs 10134 ms
org.apache.spark.ShuffleNettySuite: sort with Java non serializable class - Kryo 10248 ms
org.apache.spark.ShuffleNettySuite: sort with Java non serializable class - Java 10140 ms
org.apache.spark.ShuffleNettySuite: shuffle with different compression settings (SPARK-3426) 10118 ms
org.apache.spark.ShuffleNettySuite: [SPARK-4085] rerun map stage if reduce stage cannot find its local shuffle file 10151 ms
org.apache.spark.ShuffleNettySuite: metrics for shuffle without aggregation 10118 ms
org.apache.spark.ShuffleNettySuite: metrics for shuffle with aggregation 10754 ms
org.apache.spark.ShuffleNettySuite: multiple simultaneous attempts for one task (SPARK-8029) 10128 ms
org.apache.spark.SortShuffleContextCleanerSuite: (It is not a test) 10143 ms
org.apache.spark.SortShuffleSuite: groupByKey without compression 10119 ms
org.apache.spark.SortShuffleSuite: shuffle non-zero block size 10085 ms
org.apache.spark.SortShuffleSuite: shuffle serializer 10074 ms
org.apache.spark.SortShuffleSuite: zero sized blocks 10082 ms
org.apache.spark.SortShuffleSuite: zero sized blocks without kryo 10135 ms
org.apache.spark.SortShuffleSuite: shuffle on mutable pairs 10085 ms
org.apache.spark.SortShuffleSuite: sorting on mutable pairs 10100 ms
org.apache.spark.SortShuffleSuite: cogroup using mutable pairs 10745 ms
org.apache.spark.SortShuffleSuite: subtract mutable pairs 10073 ms
org.apache.spark.SortShuffleSuite: sort with Java non serializable class - Kryo 10086 ms
org.apache.spark.SortShuffleSuite: sort with Java non serializable class - Java 10111 ms
org.apache.spark.SortShuffleSuite: shuffle with different compression settings (SPARK-3426) 10078 ms
org.apache.spark.SortShuffleSuite: [SPARK-4085] rerun map stage if reduce stage cannot find its local shuffle file 10078 ms
org.apache.spark.SortShuffleSuite: metrics for shuffle without aggregation 10080 ms
org.apache.spark.SortShuffleSuite: metrics for shuffle with aggregation 10104 ms
org.apache.spark.SortShuffleSuite: multiple simultaneous attempts for one task (SPARK-8029) 10118 ms
org.apache.spark.SortShuffleSuite: SortShuffleManager properly cleans up files for shuffles that use the serialized path 10086 ms
org.apache.spark.SortShuffleSuite: SortShuffleManager properly cleans up files for shuffles that use the deserialized path 10081 ms
org.apache.spark.SparkConfSuite: creating SparkContext with both master and app name 10656 ms
org.apache.spark.SparkConfSuite: SparkContext property overriding 10075 ms
org.apache.spark.SparkContextInfoSuite: getPersistentRDDs only returns RDDs that are marked as cached 10737 ms
org.apache.spark.SparkContextInfoSuite: getPersistentRDDs returns an immutable map 10073 ms
org.apache.spark.SparkContextInfoSuite: getRDDStorageInfo only reports on RDDs that actually persist data 10056 ms
org.apache.spark.SparkContextInfoSuite: call sites report correct locations 10089 ms
org.apache.spark.SparkContextSchedulerCreationSuite: bad-master 10060 ms
org.apache.spark.SparkContextSchedulerCreationSuite: local 10750 ms
org.apache.spark.SparkContextSchedulerCreationSuite: local-* 12520 ms
org.apache.spark.SparkContextSchedulerCreationSuite: local-n 10053 ms
org.apache.spark.SparkContextSchedulerCreationSuite: local-*-n-failures 10053 ms
org.apache.spark.SparkContextSchedulerCreationSuite: local-n-failures 10060 ms
org.apache.spark.SparkContextSchedulerCreationSuite: bad-local-n 10049 ms
org.apache.spark.SparkContextSchedulerCreationSuite: bad-local-n-failures 10049 ms
org.apache.spark.SparkContextSchedulerCreationSuite: local-default-parallelism 10051 ms
org.apache.spark.SparkContextSchedulerCreationSuite: simr 10052 ms
org.apache.spark.SparkContextSchedulerCreationSuite: local-cluster 10086 ms
org.apache.spark.SparkContextSchedulerCreationSuite: yarn-cluster 10050 ms
org.apache.spark.SparkContextSchedulerCreationSuite: yarn-standalone 10082 ms
org.apache.spark.SparkContextSchedulerCreationSuite: yarn-client 10048 ms
org.apache.spark.SparkContextSchedulerCreationSuite: mesos fine-grained 10051 ms
org.apache.spark.SparkContextSchedulerCreationSuite: mesos coarse-grained 10051 ms
org.apache.spark.SparkContextSchedulerCreationSuite: mesos with zookeeper 10054 ms
org.apache.spark.SparkContextSchedulerCreationSuite: mesos with zookeeper and Master URL starting with zk:// 10054 ms
org.apache.spark.SparkContextSuite: Only one SparkContext may be active at a time 10052 ms
org.apache.spark.SparkContextSuite: Can still construct a new SparkContext after failing to construct a previous one 10033 ms
org.apache.spark.SparkContextSuite: Check for multiple SparkContexts can be disabled via undocumented debug option 10042 ms
org.apache.spark.SparkContextSuite: Test getOrCreate 10033 ms
org.apache.spark.SparkContextSuite: addFile works 10041 ms
org.apache.spark.SparkContextSuite: addFile recursive works 10033 ms
org.apache.spark.SparkContextSuite: addFile recursive can't add directories by default 10032 ms
org.apache.spark.SparkContextSuite: Cancelling job group should not cause SparkContext to shutdown (SPARK-6414) 10040 ms
org.apache.spark.SparkContextSuite: Comma separated paths for newAPIHadoopFile/wholeTextFiles/binaryFiles (SPARK-7155) 10036 ms
org.apache.spark.SparkContextSuite: Default path for file based RDDs is properly set (SPARK-12517) 10040 ms
org.apache.spark.SparkContextSuite: stop() must not throw any exception 10054 ms
org.apache.spark.SparkContextSuite: No exception when both num-executors and dynamic allocation set 10053 ms
org.apache.spark.StatusTrackerSuite: basic status API usage 10046 ms
org.apache.spark.StatusTrackerSuite: getJobIdsForGroup() 10057 ms
org.apache.spark.StatusTrackerSuite: getJobIdsForGroup() with takeAsync() 10037 ms
org.apache.spark.StatusTrackerSuite: getJobIdsForGroup() with takeAsync() across multiple partitions 10070 ms
org.apache.spark.ThreadingSuite: accessing SparkContext form a different thread 10115 ms
org.apache.spark.ThreadingSuite: accessing SparkContext form multiple threads 10132 ms
org.apache.spark.ThreadingSuite: accessing multi-threaded SparkContext form multiple threads 10215 ms
org.apache.spark.ThreadingSuite: parallel job execution 10118 ms
org.apache.spark.ThreadingSuite: set local properties in different thread 10106 ms
org.apache.spark.ThreadingSuite: set and get local properties in parent-children thread 10178 ms
org.apache.spark.ThreadingSuite: mutation in parent local property does not affect child (SPARK-10563) 10131 ms
org.apache.spark.UnpersistSuite: unpersist RDD 10031 ms
org.apache.spark.api.python.PythonBroadcastSuite: (It is not a test) 10118 ms
org.apache.spark.api.python.SerDeUtilSuite: (It is not a test) 10068 ms
org.apache.spark.broadcast.BroadcastSuite: Using TorrentBroadcast locally 10090 ms
org.apache.spark.broadcast.BroadcastSuite: Accessing TorrentBroadcast variables from multiple threads 10106 ms
org.apache.spark.broadcast.BroadcastSuite: Accessing TorrentBroadcast variables in a local cluster 10109 ms
org.apache.spark.broadcast.BroadcastSuite: Test Lazy Broadcast variables with TorrentBroadcast 10164 ms
org.apache.spark.broadcast.BroadcastSuite: Unpersisting TorrentBroadcast on executors only in local mode 10099 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 10104 ms
org.apache.spark.broadcast.BroadcastSuite: Unpersisting TorrentBroadcast on executors and driver in distributed mode 10103 ms
org.apache.spark.broadcast.BroadcastSuite: Using broadcast after destroy prints callsite 10104 ms
org.apache.spark.broadcast.BroadcastSuite: Broadcast variables cannot be created after SparkContext is stopped (SPARK-5065) 10107 ms
org.apache.spark.deploy.LogUrlsStandaloneSuite: verify that correct log urls get propagated from workers 10046 ms
org.apache.spark.deploy.LogUrlsStandaloneSuite: verify that log urls reflect SPARK_PUBLIC_DNS (SPARK-6175) 10056 ms
org.apache.spark.deploy.SparkSubmitSuite: launch simple application with spark-submit 15702 ms
org.apache.spark.deploy.SparkSubmitSuite: includes jars passed in through --jars 14850 ms
org.apache.spark.deploy.SparkSubmitSuite: includes jars passed in through --packages 17447 ms
org.apache.spark.deploy.StandaloneDynamicAllocationSuite: dynamic allocation default behavior 10195 ms
org.apache.spark.deploy.StandaloneDynamicAllocationSuite: dynamic allocation with max cores <= cores per worker 10118 ms
org.apache.spark.deploy.StandaloneDynamicAllocationSuite: dynamic allocation with max cores > cores per worker 10186 ms
org.apache.spark.deploy.StandaloneDynamicAllocationSuite: dynamic allocation with cores per executor 10152 ms
org.apache.spark.deploy.StandaloneDynamicAllocationSuite: dynamic allocation with cores per executor AND max cores 10185 ms
org.apache.spark.deploy.StandaloneDynamicAllocationSuite: kill the same executor twice (SPARK-9795) 10105 ms
org.apache.spark.deploy.StandaloneDynamicAllocationSuite: the pending replacement executors should not be lost (SPARK-10515) 10122 ms
org.apache.spark.deploy.StandaloneDynamicAllocationSuite: disable force kill for busy executors (SPARK-9552) 10118 ms
org.apache.spark.input.WholeTextFileRecordReaderSuite: (It is not a test) 10125 ms
org.apache.spark.launcher.LauncherBackendSuite: local: launcher handle 30070 ms
org.apache.spark.launcher.LauncherBackendSuite: standalone/client: launcher handle 30089 ms
org.apache.spark.metrics.InputOutputMetricsSuite: (It is not a test) 10029 ms
org.apache.spark.rdd.AsyncRDDActionsSuite: (It is not a test) 10040 ms
org.apache.spark.rdd.DoubleRDDSuite: (It is not a test) 10526 ms
org.apache.spark.rdd.JdbcRDDSuite: basic functionality 10103 ms
org.apache.spark.rdd.JdbcRDDSuite: large id overflow 10088 ms
org.apache.spark.rdd.LocalCheckpointSuite: (It is not a test) 10099 ms
org.apache.spark.rdd.PairRDDFunctionsSuite: (It is not a test) 10035 ms
org.apache.spark.rdd.PartitionPruningRDDSuite: (It is not a test) 10032 ms
org.apache.spark.rdd.PartitionwiseSampledRDDSuite: (It is not a test) 10111 ms
org.apache.spark.rdd.PipedRDDSuite: (It is not a test) 10073 ms
org.apache.spark.rdd.RDDOperationScopeSuite: (It is not a test) 10230 ms
org.apache.spark.rdd.RDDSuite: (It is not a test) 10049 ms
org.apache.spark.rdd.SortingSuite: (It is not a test) 10152 ms
org.apache.spark.rdd.ZippedPartitionsSuite: (It is not a test) 10117 ms
org.apache.spark.scheduler.AdaptiveSchedulingSuite: simple use of submitMapStage 10086 ms
org.apache.spark.scheduler.AdaptiveSchedulingSuite: fetching multiple map output partitions per reduce 11711 ms
org.apache.spark.scheduler.AdaptiveSchedulingSuite: fetching all map output partitions in one reduce 10086 ms
org.apache.spark.scheduler.AdaptiveSchedulingSuite: more reduce tasks than map output partitions 10085 ms
org.apache.spark.scheduler.CoarseGrainedSchedulerBackendSuite: serialized task larger than akka frame size 10666 ms
org.apache.spark.scheduler.DAGSchedulerSuite: (It is not a test) 10082 ms
org.apache.spark.scheduler.EventLoggingListenerSuite: End-to-end event logging 10103 ms
org.apache.spark.scheduler.EventLoggingListenerSuite: End-to-end event logging with compression 10151 ms
org.apache.spark.scheduler.OutputCommitCoordinatorIntegrationSuite: (It is not a test) 10032 ms
org.apache.spark.scheduler.OutputCommitCoordinatorSuite: (It is not a test) 11169 ms
org.apache.spark.scheduler.PoolSuite: FIFO Scheduler Test 10092 ms
org.apache.spark.scheduler.PoolSuite: Fair Scheduler Test 10104 ms
org.apache.spark.scheduler.PoolSuite: Nested Pool Test 10113 ms
org.apache.spark.scheduler.ReplayListenerSuite: End-to-end replay 10036 ms
org.apache.spark.scheduler.ReplayListenerSuite: End-to-end replay with compression 10037 ms
org.apache.spark.scheduler.SparkListenerSuite: stop in listener 10060 ms
org.apache.spark.scheduler.SparkListenerSuite: basic creation of StageInfo 10066 ms
org.apache.spark.scheduler.SparkListenerSuite: basic creation of StageInfo with shuffle 10042 ms
org.apache.spark.scheduler.SparkListenerSuite: StageInfo with fewer tasks than partitions 10043 ms
org.apache.spark.scheduler.SparkListenerSuite: local metrics 10039 ms
org.apache.spark.scheduler.SparkListenerSuite: onTaskGettingResult() called when result fetched remotely 10396 ms
org.apache.spark.scheduler.SparkListenerSuite: onTaskGettingResult() not called when result sent directly 10444 ms
org.apache.spark.scheduler.SparkListenerSuite: onTaskEnd() should be called for all started tasks, even after job has been killed 10040 ms
org.apache.spark.scheduler.SparkListenerSuite: extraListeners 10053 ms
org.apache.spark.scheduler.SparkListenerWithClusterSuite: (It is not a test) 10066 ms
org.apache.spark.scheduler.TaskContextSuite: provide metrics sources 10059 ms
org.apache.spark.scheduler.TaskContextSuite: calls TaskCompletionListener after failure 10081 ms
org.apache.spark.scheduler.TaskContextSuite: attemptNumber should return attempt number, not task id (SPARK-4014) 10085 ms
org.apache.spark.scheduler.TaskResultGetterSuite: handling results smaller than Akka frame size 10037 ms
org.apache.spark.scheduler.TaskResultGetterSuite: handling results larger than Akka frame size 10034 ms
org.apache.spark.scheduler.TaskResultGetterSuite: task retried if result missing from block manager 10040 ms
org.apache.spark.scheduler.TaskResultGetterSuite: failed task deserialized with the correct classloader (SPARK-11195) 11437 ms
org.apache.spark.scheduler.TaskSchedulerImplSuite: Scheduler does not always schedule tasks on the same workers 10161 ms
org.apache.spark.scheduler.TaskSchedulerImplSuite: Scheduler correctly accounts for multiple CPUs per task 10745 ms
org.apache.spark.scheduler.TaskSchedulerImplSuite: Scheduler does not crash when tasks are not serializable 10118 ms
org.apache.spark.scheduler.TaskSchedulerImplSuite: refuse to schedule concurrent attempts for the same stage (SPARK-8103) 10139 ms
org.apache.spark.scheduler.TaskSchedulerImplSuite: don't schedule more tasks after a taskset is zombie 10130 ms
org.apache.spark.scheduler.TaskSchedulerImplSuite: if a zombie attempt finishes, continue scheduling tasks for non-zombie attempts 10115 ms
org.apache.spark.scheduler.TaskSchedulerImplSuite: tasks are not re-scheduled while executor loss reason is pending 10121 ms
org.apache.spark.scheduler.TaskSetManagerSuite: TaskSet with no preferences 10027 ms
org.apache.spark.scheduler.TaskSetManagerSuite: multiple offers with no preferences 10027 ms
org.apache.spark.scheduler.TaskSetManagerSuite: skip unsatisfiable locality levels 10033 ms
org.apache.spark.scheduler.TaskSetManagerSuite: basic delay scheduling 10034 ms
org.apache.spark.scheduler.TaskSetManagerSuite: we do not need to delay scheduling when we only have noPref tasks in the queue 10035 ms
org.apache.spark.scheduler.TaskSetManagerSuite: delay scheduling with fallback 10037 ms
org.apache.spark.scheduler.TaskSetManagerSuite: delay scheduling with failed hosts 10067 ms
org.apache.spark.scheduler.TaskSetManagerSuite: task result lost 10035 ms
org.apache.spark.scheduler.TaskSetManagerSuite: repeated failures lead to task set abortion 10057 ms
org.apache.spark.scheduler.TaskSetManagerSuite: executors should be blacklisted after task failure, in spite of locality preferences 10041 ms
org.apache.spark.scheduler.TaskSetManagerSuite: new executors get added and lost 10053 ms
org.apache.spark.scheduler.TaskSetManagerSuite: Executors exit for reason unrelated to currently running tasks 10037 ms
org.apache.spark.scheduler.TaskSetManagerSuite: test RACK_LOCAL tasks 10033 ms
org.apache.spark.scheduler.TaskSetManagerSuite: do not emit warning when serialized task is small 10055 ms
org.apache.spark.scheduler.TaskSetManagerSuite: emit warning when serialized task is large 10058 ms
org.apache.spark.scheduler.TaskSetManagerSuite: Not serializable exception thrown if the task cannot be serialized 10037 ms
org.apache.spark.scheduler.TaskSetManagerSuite: abort the job if total size of results is too large 10038 ms
org.apache.spark.scheduler.TaskSetManagerSuite: speculative and noPref task should be scheduled after node-local 10036 ms
org.apache.spark.scheduler.TaskSetManagerSuite: node-local tasks should be scheduled right away when there are only node-local and no-preference tasks 10043 ms
org.apache.spark.scheduler.TaskSetManagerSuite: SPARK-4939: node-local tasks should be scheduled right after process-local tasks finished 10036 ms
org.apache.spark.scheduler.TaskSetManagerSuite: SPARK-4939: no-pref tasks should be scheduled after process-local tasks finished 10063 ms
org.apache.spark.scheduler.TaskSetManagerSuite: Ensure TaskSetManager is usable after addition of levels 10539 ms
org.apache.spark.scheduler.TaskSetManagerSuite: Test that locations with HDFSCacheTaskLocation are treated as PROCESS_LOCAL 10508 ms
org.apache.spark.scheduler.cluster.mesos.CoarseMesosSchedulerBackendSuite: (It is not a test) 10093 ms
org.apache.spark.serializer.GenericAvroSerializerSuite: (It is not a test) 10809 ms
org.apache.spark.serializer.KryoSerializerAutoResetDisabledSuite: (It is not a test) 10116 ms
org.apache.spark.serializer.KryoSerializerDistributedSuite: kryo objects are serialised consistently in different processes 10306 ms
org.apache.spark.serializer.KryoSerializerResizableOutputSuite: kryo without resizable output buffer should fail on large array 10129 ms
org.apache.spark.serializer.KryoSerializerResizableOutputSuite: kryo with resizable output buffer should succeed on large array 10094 ms
org.apache.spark.serializer.KryoSerializerSuite: (It is not a test) 10108 ms
org.apache.spark.serializer.ProactiveClosureSerializationSuite: (It is not a test) 10088 ms
org.apache.spark.shuffle.BlockStoreShuffleReaderSuite: read() releases resources on completion 10223 ms
org.apache.spark.shuffle.ShuffleDependencySuite: key, value, and combiner classes correct in shuffle dependency without aggregation 10063 ms
org.apache.spark.shuffle.ShuffleDependencySuite: key, value, and combiner classes available in shuffle dependency with aggregation 10085 ms
org.apache.spark.shuffle.ShuffleDependencySuite: combineByKey null combiner class tag handled correctly 10078 ms
org.apache.spark.storage.FlatmapIteratorSuite: Flatmap Iterator to Disk 10044 ms
org.apache.spark.storage.FlatmapIteratorSuite: Flatmap Iterator to Memory 10029 ms
org.apache.spark.storage.FlatmapIteratorSuite: Serializer Reset 10035 ms
org.apache.spark.ui.UISeleniumSuite: effects of unpersist() / persist() should be reflected 10133 ms
org.apache.spark.ui.UISeleniumSuite: failed stages should not appear to be active 10679 ms
org.apache.spark.ui.UISeleniumSuite: killEnabled should properly control kill button display 10126 ms
org.apache.spark.ui.UISeleniumSuite: jobs page should not display job group name unless some job was submitted in a job group 10221 ms
org.apache.spark.ui.UISeleniumSuite: job progress bars should handle stage / task failures 10124 ms
org.apache.spark.ui.UISeleniumSuite: job details page should display useful information for stages that haven't started 10140 ms
org.apache.spark.ui.UISeleniumSuite: job progress bars / cells reflect skipped stages / tasks 10135 ms
org.apache.spark.ui.UISeleniumSuite: stages that aren't run appear as 'skipped stages' after a job finishes 10136 ms
org.apache.spark.ui.UISeleniumSuite: jobs with stages that are skipped should show correct link descriptions on all jobs page 10871 ms
org.apache.spark.ui.UISeleniumSuite: attaching and detaching a new tab 10149 ms
org.apache.spark.ui.UISeleniumSuite: kill stage POST/GET response is correct 10146 ms
org.apache.spark.ui.UISeleniumSuite: stage & job retention 10138 ms
org.apache.spark.ui.UISeleniumSuite: live UI json application list 10231 ms
org.apache.spark.ui.UISeleniumSuite: job stages should have expected dotfile under DAG visualization 10157 ms
org.apache.spark.ui.UISuite: verify appUIAddress contains the scheme 11183 ms
org.apache.spark.ui.UISuite: verify appUIAddress contains the port 10183 ms
org.apache.spark.util.ClosureCleanerSuite: closures inside an object 10039 ms
org.apache.spark.util.ClosureCleanerSuite: closures inside a class 10114 ms
org.apache.spark.util.ClosureCleanerSuite: closures inside a class with no default constructor 10058 ms
org.apache.spark.util.ClosureCleanerSuite: closures that don't use fields of the outer class 10077 ms
org.apache.spark.util.ClosureCleanerSuite: nested closures inside an object 10074 ms
org.apache.spark.util.ClosureCleanerSuite: nested closures inside a class 10095 ms
org.apache.spark.util.ClosureCleanerSuite: toplevel return statements in closures are identified at cleaning time 10083 ms
org.apache.spark.util.ClosureCleanerSuite: return statements from named functions nested in closures don't raise exceptions 10074 ms
org.apache.spark.util.ClosureCleanerSuite: user provided closures are actually cleaned 10083 ms
org.apache.spark.util.ClosureCleanerSuite2: (It is not a test) 10059 ms
org.apache.spark.util.MutableURLClassLoaderSuite: driver sets context class loader in local mode 10212 ms
org.apache.spark.util.collection.ExternalAppendOnlyMapSuite: single insert insert 14278 ms
org.apache.spark.util.collection.ExternalAppendOnlyMapSuite: multiple insert 12115 ms
org.apache.spark.util.collection.ExternalAppendOnlyMapSuite: insert with collision 10119 ms
org.apache.spark.util.collection.ExternalAppendOnlyMapSuite: ordering 11150 ms
org.apache.spark.util.collection.ExternalAppendOnlyMapSuite: null keys and values 10130 ms
org.apache.spark.util.collection.ExternalAppendOnlyMapSuite: simple aggregator 10113 ms
org.apache.spark.util.collection.ExternalAppendOnlyMapSuite: simple cogroup 10118 ms
org.apache.spark.util.collection.ExternalAppendOnlyMapSuite: spilling 10125 ms
org.apache.spark.util.collection.ExternalAppendOnlyMapSuite: spilling with compression 10141 ms
org.apache.spark.util.collection.ExternalAppendOnlyMapSuite: spilling with hash collisions 11066 ms
org.apache.spark.util.collection.ExternalAppendOnlyMapSuite: spilling with many hash collisions 10803 ms
org.apache.spark.util.collection.ExternalAppendOnlyMapSuite: MaxValue key 10130 ms
org.apache.spark.util.collection.ExternalAppendOnlyMapSuite: spilling with null keys and values 10129 ms
org.apache.spark.util.collection.ExternalAppendOnlyMapSuite: external aggregation updates peak execution memory 10126 ms
org.apache.spark.util.collection.ExternalSorterSuite: empty data stream with kryo ser 10056 ms
org.apache.spark.util.collection.ExternalSorterSuite: empty data stream with java ser 10068 ms
org.apache.spark.util.collection.ExternalSorterSuite: few elements per partition with kryo ser 10064 ms
org.apache.spark.util.collection.ExternalSorterSuite: few elements per partition with java ser 10062 ms
org.apache.spark.util.collection.ExternalSorterSuite: empty partitions with spilling with kryo ser 10104 ms
org.apache.spark.util.collection.ExternalSorterSuite: empty partitions with spilling with java ser 10080 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 10063 ms
org.apache.spark.util.collection.ExternalSorterSuite: spilling in local cluster with many reduce tasks with kryo ser 10066 ms
org.apache.spark.util.collection.ExternalSorterSuite: spilling in local cluster with many reduce tasks with java ser 10060 ms
org.apache.spark.util.collection.ExternalSorterSuite: cleanup of intermediate files in sorter 10096 ms
org.apache.spark.util.collection.ExternalSorterSuite: cleanup of intermediate files in sorter with failures 10065 ms
org.apache.spark.util.collection.ExternalSorterSuite: cleanup of intermediate files in shuffle 10071 ms
org.apache.spark.util.collection.ExternalSorterSuite: cleanup of intermediate files in shuffle with failures 10065 ms
org.apache.spark.util.collection.ExternalSorterSuite: no sorting or partial aggregation with kryo ser 10070 ms
org.apache.spark.util.collection.ExternalSorterSuite: no sorting or partial aggregation with java ser 10061 ms
org.apache.spark.util.collection.ExternalSorterSuite: no sorting or partial aggregation with spilling with kryo ser 10110 ms
org.apache.spark.util.collection.ExternalSorterSuite: no sorting or partial aggregation with spilling with java ser 10066 ms
org.apache.spark.util.collection.ExternalSorterSuite: sorting, no partial aggregation with kryo ser 10069 ms
org.apache.spark.util.collection.ExternalSorterSuite: sorting, no partial aggregation with java ser 10111 ms
org.apache.spark.util.collection.ExternalSorterSuite: sorting, no partial aggregation with spilling with kryo ser 10078 ms
org.apache.spark.util.collection.ExternalSorterSuite: sorting, no partial aggregation with spilling with java ser 10125 ms
org.apache.spark.util.collection.ExternalSorterSuite: partial aggregation, no sorting with kryo ser 10068 ms
org.apache.spark.util.collection.ExternalSorterSuite: partial aggregation, no sorting with java ser 10065 ms
org.apache.spark.util.collection.ExternalSorterSuite: partial aggregation, no sorting with spilling with kryo ser 11333 ms
org.apache.spark.util.collection.ExternalSorterSuite: partial aggregation, no sorting with spilling with java ser 10123 ms
org.apache.spark.util.collection.ExternalSorterSuite: partial aggregation and sorting with kryo ser 10069 ms
org.apache.spark.util.collection.ExternalSorterSuite: partial aggregation and sorting with java ser 10081 ms
org.apache.spark.util.collection.ExternalSorterSuite: partial aggregation and sorting with spilling with kryo ser 10093 ms
org.apache.spark.util.collection.ExternalSorterSuite: partial aggregation and sorting with spilling with java ser 10066 ms
org.apache.spark.util.collection.ExternalSorterSuite: sort without breaking sorting contracts with kryo ser 10073 ms
org.apache.spark.util.collection.ExternalSorterSuite: sort without breaking sorting contracts with java ser 11028 ms
org.apache.spark.util.collection.ExternalSorterSuite: spilling with hash collisions 10067 ms
org.apache.spark.util.collection.ExternalSorterSuite: spilling with many hash collisions 10066 ms
org.apache.spark.util.collection.ExternalSorterSuite: MaxValue key 10077 ms
org.apache.spark.util.collection.ExternalSorterSuite: spilling with null keys and values 10075 ms
org.apache.spark.util.collection.ExternalSorterSuite: sorting updates peak execution memory 10115 ms
org.apache.spark.streaming.kafka.DirectKafkaStreamSuite: basic stream receiving with multiple topics and smallest starting offset 10831 ms
org.apache.spark.streaming.kafka.DirectKafkaStreamSuite: receiving from largest starting offset 10297 ms
org.apache.spark.streaming.kafka.DirectKafkaStreamSuite: creating stream by offset 10333 ms
org.apache.spark.streaming.kafka.DirectKafkaStreamSuite: offset recovery 10200 ms
org.apache.spark.streaming.kafka.DirectKafkaStreamSuite: Direct Kafka stream report input information 10395 ms
org.apache.spark.streaming.kafka.DirectKafkaStreamSuite: using rate controller 10244 ms
org.apache.spark.streaming.kafka.JavaDirectKafkaStreamSuite: testKafkaStream 10842 ms
org.apache.spark.streaming.kafka.JavaKafkaRDDSuite: testKafkaRDD 10752 ms
org.apache.spark.streaming.kafka.JavaKafkaStreamSuite: testKafkaStream 10670 ms
org.apache.spark.streaming.kafka.KafkaRDDSuite: (It is not a test) 10059 ms
org.apache.spark.streaming.kafka.KafkaStreamSuite: Kafka input stream 10073 ms
org.apache.spark.streaming.kafka.ReliableKafkaStreamSuite: (It is not a test) 12700 ms
org.apache.spark.streaming.mqtt.JavaMQTTStreamSuite: testMQTTStream 10086 ms
org.apache.spark.streaming.mqtt.MQTTStreamSuite: (It is not a test) 11616 ms
org.apache.spark.streaming.twitter.JavaTwitterStreamSuite: testTwitterStream 10083 ms
org.apache.spark.streaming.twitter.TwitterStreamSuite: twitter input stream 11553 ms
org.apache.spark.streaming.zeromq.JavaZeroMQStreamSuite: testZeroMQStream 10087 ms
org.apache.spark.streaming.zeromq.ZeroMQStreamSuite: zeromq input stream 11579 ms
org.apache.spark.streaming.kinesis.JavaKinesisStreamSuite: testCustomHandler 10086 ms
org.apache.spark.streaming.kinesis.JavaKinesisStreamSuite: testKinesisStream 10064 ms
org.apache.spark.streaming.kinesis.WithAggregationKinesisStreamSuite: (It is not a test) 11173 ms
org.apache.spark.streaming.kinesis.WithoutAggregationKinesisStreamSuite: (It is not a test) 10078 ms
org.apache.spark.graphx.EdgeRDDSuite: cache, getStorageLevel 10057 ms
org.apache.spark.graphx.GraphLoaderSuite: edgeListFile 10043 ms
org.apache.spark.graphx.GraphOpsSuite: joinVertices 10060 ms
org.apache.spark.graphx.GraphOpsSuite: collectNeighborIds 10076 ms
org.apache.spark.graphx.GraphOpsSuite: filter 10105 ms
org.apache.spark.graphx.GraphOpsSuite: convertToCanonicalEdges 11040 ms
org.apache.spark.graphx.GraphOpsSuite: collectEdgesCycleDirectionOut 10039 ms
org.apache.spark.graphx.GraphOpsSuite: collectEdgesCycleDirectionIn 10043 ms
org.apache.spark.graphx.GraphOpsSuite: collectEdgesCycleDirectionEither 10066 ms
org.apache.spark.graphx.GraphOpsSuite: collectEdgesChainDirectionOut 10044 ms
org.apache.spark.graphx.GraphOpsSuite: collectEdgesChainDirectionIn 10042 ms
org.apache.spark.graphx.GraphOpsSuite: collectEdgesChainDirectionEither 10043 ms
org.apache.spark.graphx.GraphSuite: fromEdgeTuples 10036 ms
org.apache.spark.graphx.GraphSuite: fromEdges 10038 ms
org.apache.spark.graphx.GraphSuite: apply 10040 ms
org.apache.spark.graphx.GraphSuite: triplets 10036 ms
org.apache.spark.graphx.GraphSuite: partitionBy 10038 ms
org.apache.spark.graphx.GraphSuite: mapVertices 10041 ms
org.apache.spark.graphx.GraphSuite: mapVertices changing type with same erased type 10039 ms
org.apache.spark.graphx.GraphSuite: mapEdges 10051 ms
org.apache.spark.graphx.GraphSuite: mapTriplets 10053 ms
org.apache.spark.graphx.GraphSuite: reverse 10071 ms
org.apache.spark.graphx.GraphSuite: reverse with join elimination 10040 ms
org.apache.spark.graphx.GraphSuite: subgraph 10045 ms
org.apache.spark.graphx.GraphSuite: mask 10041 ms
org.apache.spark.graphx.GraphSuite: groupEdges 10049 ms
org.apache.spark.graphx.GraphSuite: mapReduceTriplets 10127 ms
org.apache.spark.graphx.GraphSuite: aggregateMessages 10059 ms
org.apache.spark.graphx.GraphSuite: outerJoinVertices 10047 ms
org.apache.spark.graphx.GraphSuite: more edge partitions than vertex partitions 10052 ms
org.apache.spark.graphx.GraphSuite: checkpoint 10058 ms
org.apache.spark.graphx.GraphSuite: cache, getStorageLevel 10045 ms
org.apache.spark.graphx.GraphSuite: non-default number of edge partitions 10056 ms
org.apache.spark.graphx.PregelSuite: 1 iteration 10043 ms
org.apache.spark.graphx.PregelSuite: chain propagation 10042 ms
org.apache.spark.graphx.VertexRDDSuite: filter 10041 ms
org.apache.spark.graphx.VertexRDDSuite: mapValues 10044 ms
org.apache.spark.graphx.VertexRDDSuite: minus 10044 ms
org.apache.spark.graphx.VertexRDDSuite: minus with RDD[(VertexId, VD)] 10038 ms
org.apache.spark.graphx.VertexRDDSuite: minus with non-equal number of partitions 10038 ms
org.apache.spark.graphx.VertexRDDSuite: diff 10037 ms
org.apache.spark.graphx.VertexRDDSuite: diff with RDD[(VertexId, VD)] 10052 ms
org.apache.spark.graphx.VertexRDDSuite: diff vertices with non-equal number of partitions 10063 ms
org.apache.spark.graphx.VertexRDDSuite: leftJoin 10041 ms
org.apache.spark.graphx.VertexRDDSuite: leftJoin vertices with non-equal number of partitions 10069 ms
org.apache.spark.graphx.VertexRDDSuite: innerJoin 10046 ms
org.apache.spark.graphx.VertexRDDSuite: innerJoin vertices with the non-equal number of partitions 10055 ms
org.apache.spark.graphx.VertexRDDSuite: aggregateUsingIndex 10043 ms
org.apache.spark.graphx.VertexRDDSuite: mergeFunc 10038 ms
org.apache.spark.graphx.VertexRDDSuite: cache, getStorageLevel 10050 ms
org.apache.spark.graphx.lib.ConnectedComponentsSuite: Grid Connected Components 10042 ms
org.apache.spark.graphx.lib.ConnectedComponentsSuite: Reverse Grid Connected Components 10055 ms
org.apache.spark.graphx.lib.ConnectedComponentsSuite: Chain Connected Components 10066 ms
org.apache.spark.graphx.lib.ConnectedComponentsSuite: Reverse Chain Connected Components 10047 ms
org.apache.spark.graphx.lib.ConnectedComponentsSuite: Connected Components on a Toy Connected Graph 10047 ms
org.apache.spark.graphx.lib.LabelPropagationSuite: Label Propagation 10070 ms
org.apache.spark.graphx.lib.PageRankSuite: Star PageRank 10108 ms
org.apache.spark.graphx.lib.PageRankSuite: Star PersonalPageRank 10058 ms
org.apache.spark.graphx.lib.PageRankSuite: Grid PageRank 10051 ms
org.apache.spark.graphx.lib.PageRankSuite: Chain PageRank 10051 ms
org.apache.spark.graphx.lib.PageRankSuite: Chain PersonalizedPageRank 10047 ms
org.apache.spark.graphx.lib.SVDPlusPlusSuite: Test SVD++ with mean square error on training set 10036 ms
org.apache.spark.graphx.lib.ShortestPathsSuite: Shortest Path Computations 10048 ms
org.apache.spark.graphx.lib.StronglyConnectedComponentsSuite: Island Strongly Connected Components 10037 ms
org.apache.spark.graphx.lib.StronglyConnectedComponentsSuite: Cycle Strongly Connected Components 10037 ms
org.apache.spark.graphx.lib.StronglyConnectedComponentsSuite: 2 Cycle Strongly Connected Components 10037 ms
org.apache.spark.graphx.lib.TriangleCountSuite: Count a single triangle 11551 ms
org.apache.spark.graphx.lib.TriangleCountSuite: Count two triangles 10093 ms
org.apache.spark.graphx.lib.TriangleCountSuite: Count two triangles with bi-directed edges 10068 ms
org.apache.spark.graphx.lib.TriangleCountSuite: Count a single triangle with duplicate edges 10059 ms
org.apache.spark.graphx.util.GraphGeneratorsSuite: logNormalGraph 10062 ms
org.apache.spark.graphx.util.GraphGeneratorsSuite: rmatGraph numEdges upper bound 10043 ms
org.apache.spark.ml.PipelineSuite: (It is not a test) 10146 ms
org.apache.spark.ml.ann.ANNSuite: (It is not a test) 11165 ms
org.apache.spark.ml.classification.DecisionTreeClassifierSuite: (It is not a test) 10060 ms
org.apache.spark.ml.classification.GBTClassifierSuite: (It is not a test) 10093 ms
org.apache.spark.ml.classification.JavaDecisionTreeClassifierSuite: runDT 10057 ms
org.apache.spark.ml.classification.LogisticRegressionSuite: (It is not a test) 10510 ms
org.apache.spark.ml.classification.MultilayerPerceptronClassifierSuite: (It is not a test) 10049 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) 10054 ms
org.apache.spark.ml.classification.RandomForestClassifierSuite: (It is not a test) 10064 ms
org.apache.spark.ml.clustering.KMeansSuite: (It is not a test) 10062 ms
org.apache.spark.ml.clustering.LDASuite: (It is not a test) 10067 ms
org.apache.spark.ml.evaluation.BinaryClassificationEvaluatorSuite: (It is not a test) 10047 ms
org.apache.spark.ml.evaluation.MulticlassClassificationEvaluatorSuite: (It is not a test) 10055 ms
org.apache.spark.ml.evaluation.RegressionEvaluatorSuite: (It is not a test) 10048 ms
org.apache.spark.ml.feature.BinarizerSuite: (It is not a test) 10051 ms
org.apache.spark.ml.feature.BucketizerSuite: (It is not a test) 10049 ms
org.apache.spark.ml.feature.ChiSqSelectorSuite: (It is not a test) 10049 ms
org.apache.spark.ml.feature.CountVectorizerSuite: (It is not a test) 10053 ms
org.apache.spark.ml.feature.DCTSuite: (It is not a test) 10056 ms
org.apache.spark.ml.feature.HashingTFSuite: (It is not a test) 10059 ms
org.apache.spark.ml.feature.IDFSuite: (It is not a test) 10054 ms
org.apache.spark.ml.feature.InteractionSuite: (It is not a test) 10075 ms
org.apache.spark.ml.feature.JavaVectorSlicerSuite: vectorSlice 10072 ms
org.apache.spark.ml.feature.MinMaxScalerSuite: (It is not a test) 10045 ms
org.apache.spark.ml.feature.NGramSuite: (It is not a test) 10045 ms
org.apache.spark.ml.feature.NormalizerSuite: (It is not a test) 10046 ms
org.apache.spark.ml.feature.OneHotEncoderSuite: (It is not a test) 10052 ms
org.apache.spark.ml.feature.PCASuite: (It is not a test) 10065 ms
org.apache.spark.ml.feature.PolynomialExpansionSuite: (It is not a test) 10697 ms
org.apache.spark.ml.feature.QuantileDiscretizerSuite: (It is not a test) 10061 ms
org.apache.spark.ml.feature.RFormulaSuite: (It is not a test) 10054 ms
org.apache.spark.ml.feature.RegexTokenizerSuite: (It is not a test) 10057 ms
org.apache.spark.ml.feature.SQLTransformerSuite: (It is not a test) 10063 ms
org.apache.spark.ml.feature.StandardScalerSuite: (It is not a test) 10043 ms
org.apache.spark.ml.feature.StopWordsRemoverSuite: (It is not a test) 10055 ms
org.apache.spark.ml.feature.StringIndexerSuite: (It is not a test) 10059 ms
org.apache.spark.ml.feature.TokenizerSuite: (It is not a test) 10043 ms
org.apache.spark.ml.feature.VectorAssemblerSuite: (It is not a test) 10079 ms
org.apache.spark.ml.feature.VectorIndexerSuite: (It is not a test) 10051 ms
org.apache.spark.ml.feature.VectorSlicerSuite: (It is not a test) 11457 ms
org.apache.spark.ml.feature.Word2VecSuite: (It is not a test) 10062 ms
org.apache.spark.ml.optim.WeightedLeastSquaresSuite: (It is not a test) 10037 ms
org.apache.spark.ml.recommendation.ALSSuite: (It is not a test) 10044 ms
org.apache.spark.ml.regression.AFTSurvivalRegressionSuite: (It is not a test) 10037 ms
org.apache.spark.ml.regression.DecisionTreeRegressorSuite: (It is not a test) 10042 ms
org.apache.spark.ml.regression.GBTRegressorSuite: (It is not a test) 10056 ms
org.apache.spark.ml.regression.IsotonicRegressionSuite: (It is not a test) 10040 ms
org.apache.spark.ml.regression.LinearRegressionSuite: (It is not a test) 10041 ms
org.apache.spark.ml.regression.RandomForestRegressorSuite: (It is not a test) 10088 ms
org.apache.spark.ml.source.libsvm.LibSVMRelationSuite: (It is not a test) 10054 ms
org.apache.spark.ml.tree.impl.RandomForestSuite: (It is not a test) 10129 ms
org.apache.spark.ml.tuning.CrossValidatorSuite: (It is not a test) 10871 ms
org.apache.spark.ml.tuning.TrainValidationSplitSuite: (It is not a test) 10055 ms
org.apache.spark.ml.util.DefaultReadWriteSuite: (It is not a test) 10088 ms
org.apache.spark.ml.util.StopwatchSuite: (It is not a test) 10066 ms
org.apache.spark.mllib.classification.LogisticRegressionClusterSuite: (It is not a test) 10043 ms
org.apache.spark.mllib.classification.LogisticRegressionSuite: (It is not a test) 10041 ms
org.apache.spark.mllib.classification.NaiveBayesClusterSuite: (It is not a test) 10044 ms
org.apache.spark.mllib.classification.NaiveBayesSuite: (It is not a test) 10044 ms
org.apache.spark.mllib.classification.SVMClusterSuite: (It is not a test) 10742 ms
org.apache.spark.mllib.classification.SVMSuite: (It is not a test) 10058 ms
org.apache.spark.mllib.classification.StreamingLogisticRegressionSuite: parameter accuracy 10184 ms
org.apache.spark.mllib.classification.StreamingLogisticRegressionSuite: parameter convergence 10064 ms
org.apache.spark.mllib.classification.StreamingLogisticRegressionSuite: predictions 10072 ms
org.apache.spark.mllib.classification.StreamingLogisticRegressionSuite: training and prediction 11177 ms
org.apache.spark.mllib.classification.StreamingLogisticRegressionSuite: handling empty RDDs in a stream 10070 ms
org.apache.spark.mllib.clustering.BisectingKMeansSuite: (It is not a test) 10059 ms
org.apache.spark.mllib.clustering.GaussianMixtureSuite: (It is not a test) 10064 ms
org.apache.spark.mllib.clustering.KMeansClusterSuite: (It is not a test) 10064 ms
org.apache.spark.mllib.clustering.KMeansSuite: (It is not a test) 10060 ms
org.apache.spark.mllib.clustering.LDASuite: (It is not a test) 10044 ms
org.apache.spark.mllib.clustering.PowerIterationClusteringSuite: (It is not a test) 10063 ms
org.apache.spark.mllib.clustering.StreamingKMeansSuite: accuracy for single center and equivalence to grand average 10063 ms
org.apache.spark.mllib.clustering.StreamingKMeansSuite: accuracy for two centers 10070 ms
org.apache.spark.mllib.clustering.StreamingKMeansSuite: detecting dying clusters 10059 ms
org.apache.spark.mllib.evaluation.AreaUnderCurveSuite: (It is not a test) 10057 ms
org.apache.spark.mllib.evaluation.BinaryClassificationMetricsSuite: (It is not a test) 10043 ms
org.apache.spark.mllib.evaluation.MulticlassMetricsSuite: (It is not a test) 10080 ms
org.apache.spark.mllib.evaluation.MultilabelMetricsSuite: (It is not a test) 10042 ms
org.apache.spark.mllib.evaluation.RankingMetricsSuite: (It is not a test) 10045 ms
org.apache.spark.mllib.evaluation.RegressionMetricsSuite: (It is not a test) 10055 ms
org.apache.spark.mllib.feature.ChiSqSelectorSuite: (It is not a test) 10047 ms
org.apache.spark.mllib.feature.ElementwiseProductSuite: (It is not a test) 10068 ms
org.apache.spark.mllib.feature.HashingTFSuite: (It is not a test) 10048 ms
org.apache.spark.mllib.feature.IDFSuite: (It is not a test) 10050 ms
org.apache.spark.mllib.feature.NormalizerSuite: (It is not a test) 10066 ms
org.apache.spark.mllib.feature.PCASuite: (It is not a test) 10040 ms
org.apache.spark.mllib.feature.StandardScalerSuite: (It is not a test) 10045 ms
org.apache.spark.mllib.feature.Word2VecSuite: (It is not a test) 10121 ms
org.apache.spark.mllib.fpm.AssociationRulesSuite: (It is not a test) 10062 ms
org.apache.spark.mllib.fpm.FPGrowthSuite: (It is not a test) 10058 ms
org.apache.spark.mllib.fpm.FPTreeSuite: (It is not a test) 10050 ms
org.apache.spark.mllib.fpm.PrefixSpanSuite: (It is not a test) 10054 ms
org.apache.spark.mllib.impl.PeriodicGraphCheckpointerSuite: (It is not a test) 10056 ms
org.apache.spark.mllib.impl.PeriodicRDDCheckpointerSuite: (It is not a test) 11429 ms
org.apache.spark.mllib.linalg.distributed.BlockMatrixSuite: (It is not a test) 12823 ms
org.apache.spark.mllib.linalg.distributed.CoordinateMatrixSuite: (It is not a test) 10049 ms
org.apache.spark.mllib.linalg.distributed.IndexedRowMatrixSuite: (It is not a test) 10046 ms
org.apache.spark.mllib.linalg.distributed.RowMatrixClusterSuite: (It is not a test) 10152 ms
org.apache.spark.mllib.linalg.distributed.RowMatrixSuite: (It is not a test) 10058 ms
org.apache.spark.mllib.optimization.GradientDescentClusterSuite: (It is not a test) 10052 ms
org.apache.spark.mllib.optimization.GradientDescentSuite: (It is not a test) 10053 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) 10050 ms
org.apache.spark.mllib.random.RandomRDDsSuite: (It is not a test) 10039 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) 10044 ms
org.apache.spark.mllib.recommendation.ALSSuite: (It is not a test) 10054 ms
org.apache.spark.mllib.recommendation.MatrixFactorizationModelSuite: (It is not a test) 10057 ms
org.apache.spark.mllib.regression.IsotonicRegressionSuite: (It is not a test) 10051 ms
org.apache.spark.mllib.regression.JavaIsotonicRegressionSuite: testIsotonicRegressionJavaRDD 10080 ms
org.apache.spark.mllib.regression.JavaIsotonicRegressionSuite: testIsotonicRegressionPredictionsJavaRDD 10063 ms
org.apache.spark.mllib.regression.LassoClusterSuite: (It is not a test) 10066 ms
org.apache.spark.mllib.regression.LassoSuite: (It is not a test) 10042 ms
org.apache.spark.mllib.regression.LinearRegressionClusterSuite: (It is not a test) 10062 ms
org.apache.spark.mllib.regression.LinearRegressionSuite: (It is not a test) 10072 ms
org.apache.spark.mllib.regression.RidgeRegressionClusterSuite: (It is not a test) 10055 ms
org.apache.spark.mllib.regression.RidgeRegressionSuite: (It is not a test) 10061 ms
org.apache.spark.mllib.regression.StreamingLinearRegressionSuite: parameter accuracy 10085 ms
org.apache.spark.mllib.regression.StreamingLinearRegressionSuite: parameter convergence 10059 ms
org.apache.spark.mllib.regression.StreamingLinearRegressionSuite: predictions 10066 ms
org.apache.spark.mllib.regression.StreamingLinearRegressionSuite: training and prediction 10053 ms
org.apache.spark.mllib.regression.StreamingLinearRegressionSuite: handling empty RDDs in a stream 10073 ms
org.apache.spark.mllib.stat.CorrelationSuite: (It is not a test) 10064 ms
org.apache.spark.mllib.stat.HypothesisTestSuite: (It is not a test) 10071 ms
org.apache.spark.mllib.stat.KernelDensitySuite: (It is not a test) 10044 ms
org.apache.spark.mllib.stat.StreamingTestSuite: accuracy for null hypothesis using welch t-test 10181 ms
org.apache.spark.mllib.stat.StreamingTestSuite: accuracy for alternative hypothesis using welch t-test 10050 ms
org.apache.spark.mllib.stat.StreamingTestSuite: accuracy for null hypothesis using student t-test 10056 ms
org.apache.spark.mllib.stat.StreamingTestSuite: accuracy for alternative hypothesis using student t-test 10045 ms
org.apache.spark.mllib.stat.StreamingTestSuite: batches within same test window are grouped 10064 ms
org.apache.spark.mllib.stat.StreamingTestSuite: entries in peace period are dropped 10072 ms
org.apache.spark.mllib.stat.StreamingTestSuite: null hypothesis when only data from one group is present 13689 ms
org.apache.spark.mllib.stat.distribution.MultivariateGaussianSuite: (It is not a test) 10054 ms
org.apache.spark.mllib.tree.DecisionTreeSuite: (It is not a test) 10051 ms
org.apache.spark.mllib.tree.GradientBoostedTreesSuite: (It is not a test) 10044 ms
org.apache.spark.mllib.tree.RandomForestSuite: (It is not a test) 10043 ms
org.apache.spark.mllib.tree.impl.BaggedPointSuite: (It is not a test) 10058 ms
org.apache.spark.mllib.util.MLUtilsSuite: (It is not a test) 10037 ms
org.apache.spark.repl.ReplSuite: propagation of local properties 11164 ms
org.apache.spark.repl.ReplSuite: simple foreach with accumulator 15935 ms
org.apache.spark.repl.ReplSuite: external vars 13460 ms
org.apache.spark.repl.ReplSuite: external classes 12179 ms
org.apache.spark.repl.ReplSuite: external functions 12111 ms
org.apache.spark.repl.ReplSuite: external functions that access vars 12898 ms
org.apache.spark.repl.ReplSuite: broadcast vars 11750 ms
org.apache.spark.repl.ReplSuite: interacting with files 11562 ms
org.apache.spark.repl.ReplSuite: local-cluster mode 11789 ms
org.apache.spark.repl.ReplSuite: SPARK-1199 two instances of same class don't type check 12170 ms
org.apache.spark.repl.ReplSuite: SPARK-2452 compound statements 11593 ms
org.apache.spark.repl.ReplSuite: _ 11559 ms
org.apache.spark.repl.ReplSuite: SPARK-8461 SQL with codegen 13535 ms
org.apache.spark.repl.ReplSuite: Datasets and encoders 13942 ms
org.apache.spark.repl.ReplSuite: SPARK-2632 importing a method from non serializable class and not using it 12264 ms
org.apache.spark.repl.ReplSuite: Datasets agg type-inference 12405 ms
org.apache.spark.repl.ReplSuite: collecting objects of class defined in repl 13244 ms
org.apache.spark.repl.ReplSuite: collecting objects of class defined in repl - shuffling 12229 ms
org.apache.spark.streaming.BasicOperationsSuite: map 10047 ms
org.apache.spark.streaming.BasicOperationsSuite: flatMap 10038 ms
org.apache.spark.streaming.BasicOperationsSuite: filter 10163 ms
org.apache.spark.streaming.BasicOperationsSuite: glom 10060 ms
org.apache.spark.streaming.BasicOperationsSuite: mapPartitions 10047 ms
org.apache.spark.streaming.BasicOperationsSuite: repartition (more partitions) 10047 ms
org.apache.spark.streaming.BasicOperationsSuite: repartition (fewer partitions) 11814 ms
org.apache.spark.streaming.BasicOperationsSuite: groupByKey 10049 ms
org.apache.spark.streaming.BasicOperationsSuite: reduceByKey 10052 ms
org.apache.spark.streaming.BasicOperationsSuite: reduce 10055 ms
org.apache.spark.streaming.BasicOperationsSuite: count 10044 ms
org.apache.spark.streaming.BasicOperationsSuite: countByValue 10051 ms
org.apache.spark.streaming.BasicOperationsSuite: mapValues 10051 ms
org.apache.spark.streaming.BasicOperationsSuite: flatMapValues 10049 ms
org.apache.spark.streaming.BasicOperationsSuite: union 10049 ms
org.apache.spark.streaming.BasicOperationsSuite: union with input stream return None 10069 ms
org.apache.spark.streaming.BasicOperationsSuite: transform 10070 ms
org.apache.spark.streaming.BasicOperationsSuite: transform with NULL 12118 ms
org.apache.spark.streaming.BasicOperationsSuite: transform with input stream return None 10087 ms
org.apache.spark.streaming.BasicOperationsSuite: transformWith 10057 ms
org.apache.spark.streaming.BasicOperationsSuite: transformWith with input stream return None 10056 ms
org.apache.spark.streaming.BasicOperationsSuite: cogroup 10104 ms
org.apache.spark.streaming.BasicOperationsSuite: join 10052 ms
org.apache.spark.streaming.BasicOperationsSuite: leftOuterJoin 10056 ms
org.apache.spark.streaming.BasicOperationsSuite: rightOuterJoin 10065 ms
org.apache.spark.streaming.BasicOperationsSuite: fullOuterJoin 10052 ms
org.apache.spark.streaming.BasicOperationsSuite: updateStateByKey 11043 ms
org.apache.spark.streaming.BasicOperationsSuite: updateStateByKey - simple with initial value RDD 10064 ms
org.apache.spark.streaming.BasicOperationsSuite: updateStateByKey - with initial value RDD 10056 ms
org.apache.spark.streaming.BasicOperationsSuite: updateStateByKey - object lifecycle 10091 ms
org.apache.spark.streaming.BasicOperationsSuite: slice 10050 ms
org.apache.spark.streaming.BasicOperationsSuite: slice - has not been initialized 10058 ms
org.apache.spark.streaming.BasicOperationsSuite: rdd cleanup - map and window 10056 ms
org.apache.spark.streaming.BasicOperationsSuite: rdd cleanup - updateStateByKey 10052 ms
org.apache.spark.streaming.BasicOperationsSuite: rdd cleanup - input blocks and persisted RDDs 10088 ms
org.apache.spark.streaming.CheckpointSuite: basic rdd checkpoints + dstream graph checkpoint recovery 10111 ms
org.apache.spark.streaming.CheckpointSuite: recovery of conf through checkpoints 10059 ms
org.apache.spark.streaming.CheckpointSuite: [host|port] from checkpoint 10070 ms
org.apache.spark.streaming.CheckpointSuite: recovery with map and reduceByKey operations 10055 ms
org.apache.spark.streaming.CheckpointSuite: recovery with invertible reduceByKeyAndWindow operation 10125 ms
org.apache.spark.streaming.CheckpointSuite: recovery with saveAsHadoopFiles operation 10600 ms
org.apache.spark.streaming.CheckpointSuite: recovery with saveAsNewAPIHadoopFiles operation 10061 ms
org.apache.spark.streaming.CheckpointSuite: recovery with saveAsHadoopFile inside transform operation 10053 ms
org.apache.spark.streaming.CheckpointSuite: recovery with updateStateByKey operation 10069 ms
org.apache.spark.streaming.CheckpointSuite: recovery maintains rate controller 10057 ms
org.apache.spark.streaming.CheckpointSuite: recovery with file input stream 10065 ms
org.apache.spark.streaming.CheckpointSuite: restore invoking times 10059 ms
org.apache.spark.streaming.DStreamClosureSuite: (It is not a test) 10042 ms
org.apache.spark.streaming.DStreamScopeSuite: (It is not a test) 10049 ms
org.apache.spark.streaming.FailureSuite: multiple failures with map 10106 ms
org.apache.spark.streaming.FailureSuite: multiple failures with updateStateByKey 10065 ms
org.apache.spark.streaming.InputStreamsSuite: socket input stream 10071 ms
org.apache.spark.streaming.InputStreamsSuite: socket input stream - no block in a batch 10054 ms
org.apache.spark.streaming.InputStreamsSuite: binary records stream 10058 ms
org.apache.spark.streaming.InputStreamsSuite: file input stream - newFilesOnly = true 10068 ms
org.apache.spark.streaming.InputStreamsSuite: file input stream - newFilesOnly = false 10052 ms
org.apache.spark.streaming.InputStreamsSuite: multi-thread receiver 10053 ms
org.apache.spark.streaming.InputStreamsSuite: queue input stream - oneAtATime = true 10043 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 10040 ms
org.apache.spark.streaming.JavaAPISuite: testStreamingContextTransform 10077 ms
org.apache.spark.streaming.JavaAPISuite: testFlatMapValues 10060 ms
org.apache.spark.streaming.JavaAPISuite: testReduceByWindowWithInverse 10232 ms
org.apache.spark.streaming.JavaAPISuite: testMapPartitions 10149 ms
org.apache.spark.streaming.JavaAPISuite: testPairFilter 10104 ms
org.apache.spark.streaming.JavaAPISuite: testRepartitionFewerPartitions 10081 ms
org.apache.spark.streaming.JavaAPISuite: testCombineByKey 10064 ms
org.apache.spark.streaming.JavaAPISuite: testContextGetOrCreate 10131 ms
org.apache.spark.streaming.JavaAPISuite: testWindowWithSlideDuration 10058 ms
org.apache.spark.streaming.JavaAPISuite: testQueueStream 10065 ms
org.apache.spark.streaming.JavaAPISuite: testCountByValue 10067 ms
org.apache.spark.streaming.JavaAPISuite: testMap 10146 ms
org.apache.spark.streaming.JavaAPISuite: testPairToNormalRDDTransform 10069 ms
org.apache.spark.streaming.JavaAPISuite: testPairReduceByKey 10068 ms
org.apache.spark.streaming.JavaAPISuite: testCount 10080 ms
org.apache.spark.streaming.JavaAPISuite: testCheckpointMasterRecovery 10078 ms
org.apache.spark.streaming.JavaAPISuite: testPairMap 10072 ms
org.apache.spark.streaming.JavaAPISuite: testUnion 10120 ms
org.apache.spark.streaming.JavaAPISuite: testFlatMap 10104 ms
org.apache.spark.streaming.JavaAPISuite: testReduceByKeyAndWindowWithInverse 10065 ms
org.apache.spark.streaming.JavaAPISuite: testGlom 10069 ms
org.apache.spark.streaming.JavaAPISuite: testJoin 10063 ms
org.apache.spark.streaming.JavaAPISuite: testPairFlatMap 10828 ms
org.apache.spark.streaming.JavaAPISuite: testPairToPairFlatMapWithChangingTypes 10067 ms
org.apache.spark.streaming.JavaAPISuite: testPairMapPartitions 10064 ms
org.apache.spark.streaming.JavaAPISuite: testRepartitionMorePartitions 10113 ms
org.apache.spark.streaming.JavaAPISuite: testReduceByWindowWithoutInverse 10103 ms
org.apache.spark.streaming.JavaAPISuite: testLeftOuterJoin 10073 ms
org.apache.spark.streaming.JavaAPISuite: testVariousTransform 10071 ms
org.apache.spark.streaming.JavaAPISuite: testTransformWith 10158 ms
org.apache.spark.streaming.JavaAPISuite: testVariousTransformWith 10076 ms
org.apache.spark.streaming.JavaAPISuite: testTextFileStream 10069 ms
org.apache.spark.streaming.JavaAPISuite: testPairGroupByKey 10075 ms
org.apache.spark.streaming.JavaAPISuite: testCoGroup 10188 ms
org.apache.spark.streaming.JavaAPISuite: testInitialization 10072 ms
org.apache.spark.streaming.JavaAPISuite: testSocketString 10107 ms
org.apache.spark.streaming.JavaAPISuite: testGroupByKeyAndWindow 10068 ms
org.apache.spark.streaming.JavaAPISuite: testReduceByKeyAndWindow 10064 ms
org.apache.spark.streaming.JavaAPISuite: testForeachRDD 11063 ms
org.apache.spark.streaming.JavaAPISuite: testFileStream 10073 ms
org.apache.spark.streaming.JavaAPISuite: testPairTransform 10072 ms
org.apache.spark.streaming.JavaAPISuite: testFilter 10082 ms
org.apache.spark.streaming.JavaAPISuite: testPairMap2 10070 ms
org.apache.spark.streaming.JavaAPISuite: testMapValues 10067 ms
org.apache.spark.streaming.JavaAPISuite: testReduce 10110 ms
org.apache.spark.streaming.JavaAPISuite: testUpdateStateByKey 10065 ms
org.apache.spark.streaming.JavaAPISuite: testTransform 10079 ms
org.apache.spark.streaming.JavaAPISuite: testWindow 10758 ms
org.apache.spark.streaming.JavaAPISuite: testCountByValueAndWindow 10109 ms
org.apache.spark.streaming.JavaAPISuite: testRawSocketStream 10070 ms
org.apache.spark.streaming.JavaAPISuite: testSocketTextStream 10071 ms
org.apache.spark.streaming.JavaAPISuite: testUpdateStateByKeyWithInitial 10156 ms
org.apache.spark.streaming.JavaAPISuite: testContextState 10074 ms
org.apache.spark.streaming.JavaMapWithStateSuite: testBasicFunction 10077 ms
org.apache.spark.streaming.JavaReceiverAPISuite: testReceiver 10077 ms
org.apache.spark.streaming.MapWithStateSuite: (It is not a test) 10058 ms
org.apache.spark.streaming.ReceiverInputDStreamSuite: Without WAL enabled: createBlockRDD creates empty BlockRDD when no block info 10037 ms
org.apache.spark.streaming.ReceiverInputDStreamSuite: Without WAL enabled: createBlockRDD creates correct BlockRDD with block info 10037 ms
org.apache.spark.streaming.ReceiverInputDStreamSuite: Without WAL enabled: createBlockRDD filters non-existent blocks before creating BlockRDD 10060 ms
org.apache.spark.streaming.ReceiverInputDStreamSuite: With WAL enabled: createBlockRDD creates empty WALBackedBlockRDD when no block info 10045 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 10046 ms
org.apache.spark.streaming.ReceiverSuite: write ahead log - generating and cleaning 10034 ms
org.apache.spark.streaming.StreamingContextSuite: from no conf constructor 10060 ms
org.apache.spark.streaming.StreamingContextSuite: from no conf + spark home 10039 ms
org.apache.spark.streaming.StreamingContextSuite: from no conf + spark home + env 10040 ms
org.apache.spark.streaming.StreamingContextSuite: from conf with settings 10039 ms
org.apache.spark.streaming.StreamingContextSuite: from existing SparkContext 10044 ms
org.apache.spark.streaming.StreamingContextSuite: from existing SparkContext with settings 10049 ms
org.apache.spark.streaming.StreamingContextSuite: from checkpoint 10039 ms
org.apache.spark.streaming.StreamingContextSuite: checkPoint from conf 10045 ms
org.apache.spark.streaming.StreamingContextSuite: start and stop state check 10036 ms
org.apache.spark.streaming.StreamingContextSuite: start with non-seriazable DStream checkpoints 10037 ms
org.apache.spark.streaming.StreamingContextSuite: start failure should stop internal components 10038 ms
org.apache.spark.streaming.StreamingContextSuite: start should set job group and description of streaming jobs correctly 10036 ms
org.apache.spark.streaming.StreamingContextSuite: start multiple times 10094 ms
org.apache.spark.streaming.StreamingContextSuite: stop multiple times 10050 ms
org.apache.spark.streaming.StreamingContextSuite: stop before start 10037 ms
org.apache.spark.streaming.StreamingContextSuite: start after stop 10060 ms
org.apache.spark.streaming.StreamingContextSuite: stop only streaming context 10043 ms
org.apache.spark.streaming.StreamingContextSuite: stop(stopSparkContext=true) after stop(stopSparkContext=false) 10041 ms
org.apache.spark.streaming.StreamingContextSuite: stop gracefully 10074 ms
org.apache.spark.streaming.StreamingContextSuite: stop gracefully even if a receiver misses StopReceiver 10039 ms
org.apache.spark.streaming.StreamingContextSuite: stop slow receiver gracefully 10039 ms
org.apache.spark.streaming.StreamingContextSuite: registering and de-registering of streamingSource 10036 ms
org.apache.spark.streaming.StreamingContextSuite: awaitTermination 10076 ms
org.apache.spark.streaming.StreamingContextSuite: awaitTermination after stop 10040 ms
org.apache.spark.streaming.StreamingContextSuite: awaitTermination with error in task 10039 ms
org.apache.spark.streaming.StreamingContextSuite: awaitTermination with error in job generation 10036 ms
org.apache.spark.streaming.StreamingContextSuite: awaitTerminationOrTimeout 10052 ms
org.apache.spark.streaming.StreamingContextSuite: getOrCreate 10059 ms
org.apache.spark.streaming.StreamingContextSuite: getActive and getActiveOrCreate 10041 ms
org.apache.spark.streaming.StreamingContextSuite: getActiveOrCreate with checkpoint 10052 ms
org.apache.spark.streaming.StreamingContextSuite: multiple streaming contexts 10057 ms
org.apache.spark.streaming.StreamingContextSuite: DStream and generated RDD creation sites 10043 ms
org.apache.spark.streaming.StreamingContextSuite: throw exception on using active or stopped context 10056 ms
org.apache.spark.streaming.StreamingContextSuite: queueStream doesn't support checkpointing 10312 ms
org.apache.spark.streaming.StreamingContextSuite: Creating an InputDStream but not using it should not crash 10036 ms
org.apache.spark.streaming.StreamingListenerSuite: batch info reporting 10037 ms
org.apache.spark.streaming.StreamingListenerSuite: receiver info reporting 10042 ms
org.apache.spark.streaming.StreamingListenerSuite: output operation reporting 10037 ms
org.apache.spark.streaming.StreamingListenerSuite: stop in listener 10041 ms
org.apache.spark.streaming.StreamingListenerSuite: onBatchCompleted with successful batch 10038 ms
org.apache.spark.streaming.StreamingListenerSuite: onBatchCompleted with failed batch and one failed job 10047 ms
org.apache.spark.streaming.StreamingListenerSuite: onBatchCompleted with failed batch and multiple failed jobs 10035 ms
org.apache.spark.streaming.UISeleniumSuite: attaching and detaching a Streaming tab 10040 ms
org.apache.spark.streaming.WindowOperationsSuite: window - basic window 10040 ms
org.apache.spark.streaming.WindowOperationsSuite: window - tumbling window 10036 ms
org.apache.spark.streaming.WindowOperationsSuite: window - larger window 10040 ms
org.apache.spark.streaming.WindowOperationsSuite: window - non-overlapping window 10054 ms
org.apache.spark.streaming.WindowOperationsSuite: window - persistence level 10046 ms
org.apache.spark.streaming.WindowOperationsSuite: reduceByKeyAndWindow - basic reduction 10036 ms
org.apache.spark.streaming.WindowOperationsSuite: reduceByKeyAndWindow - key already in window and new value added into window 10037 ms
org.apache.spark.streaming.WindowOperationsSuite: reduceByKeyAndWindow - new key added into window 10047 ms
org.apache.spark.streaming.WindowOperationsSuite: reduceByKeyAndWindow - key removed from window 10033 ms
org.apache.spark.streaming.WindowOperationsSuite: reduceByKeyAndWindow - larger slide time 10068 ms
org.apache.spark.streaming.WindowOperationsSuite: reduceByKeyAndWindow - big test 10038 ms
org.apache.spark.streaming.WindowOperationsSuite: reduceByKeyAndWindow with inverse function - basic reduction 10037 ms
org.apache.spark.streaming.WindowOperationsSuite: reduceByKeyAndWindow with inverse function - key already in window and new value added into window 10033 ms
org.apache.spark.streaming.WindowOperationsSuite: reduceByKeyAndWindow with inverse function - new key added into window 10033 ms
org.apache.spark.streaming.WindowOperationsSuite: reduceByKeyAndWindow with inverse function - key removed from window 10034 ms
org.apache.spark.streaming.WindowOperationsSuite: reduceByKeyAndWindow with inverse function - larger slide time 10034 ms
org.apache.spark.streaming.WindowOperationsSuite: reduceByKeyAndWindow with inverse function - big test 10033 ms
org.apache.spark.streaming.WindowOperationsSuite: reduceByKeyAndWindow with inverse and filter functions - big test 10050 ms
org.apache.spark.streaming.WindowOperationsSuite: groupByKeyAndWindow 10036 ms
org.apache.spark.streaming.WindowOperationsSuite: countByWindow 10034 ms
org.apache.spark.streaming.WindowOperationsSuite: countByValueAndWindow 10051 ms
org.apache.spark.streaming.rdd.MapWithStateRDDSuite: (It is not a test) 11582 ms
org.apache.spark.streaming.rdd.WriteAheadLogBackedBlockRDDSuite: (It is not a test) 10042 ms
org.apache.spark.streaming.scheduler.InputInfoTrackerSuite: (It is not a test) 10064 ms
org.apache.spark.streaming.scheduler.RateControllerSuite: RateController - rate controller publishes updates after batches complete 10064 ms
org.apache.spark.streaming.scheduler.RateControllerSuite: ReceiverRateController - published rates reach receivers 10066 ms
org.apache.spark.streaming.scheduler.ReceiverTrackerSuite: send rate update to receivers 10077 ms
org.apache.spark.streaming.scheduler.ReceiverTrackerSuite: should restart receiver after stopping it 10061 ms
org.apache.spark.streaming.scheduler.ReceiverTrackerSuite: SPARK-11063: TaskSetManager should use Receiver RDD's preferredLocations 10061 ms
org.apache.spark.streaming.ui.StreamingJobProgressListenerSuite: onBatchSubmitted, onBatchStarted, onBatchCompleted, onReceiverStarted, onReceiverError, onReceiverStopped 10071 ms
org.apache.spark.streaming.ui.StreamingJobProgressListenerSuite: Remove the old completed batches when exceeding the limit 10046 ms
org.apache.spark.streaming.ui.StreamingJobProgressListenerSuite: out-of-order onJobStart and onBatchXXX 10050 ms
org.apache.spark.streaming.ui.StreamingJobProgressListenerSuite: detect memory leak 10040 ms
org.apache.spark.deploy.yarn.YarnClusterSuite: run Spark in yarn-client mode 120066 ms
org.apache.spark.deploy.yarn.YarnClusterSuite: run Spark in yarn-cluster mode 53034 ms
org.apache.spark.deploy.yarn.YarnClusterSuite: run Python application in yarn-client mode 120081 ms
org.apache.spark.deploy.yarn.YarnClusterSuite: run Python application in yarn-cluster mode 52035 ms
org.apache.spark.deploy.yarn.YarnClusterSuite: user class path first in client mode 120062 ms
org.apache.spark.deploy.yarn.YarnClusterSuite: user class path first in cluster mode 53037 ms
org.apache.spark.deploy.yarn.YarnClusterSuite: monitor app using launcher library 30081 ms
org.apache.spark.deploy.yarn.YarnShuffleIntegrationSuite: external shuffle service 53096 ms
org.apache.spark.scheduler.cluster.ExtensionServiceIntegrationSuite: (It is not a test) 11603 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.