Details for spark-master-test-sbt-hadoop-2.3 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 10141 ms
org.apache.spark.AccumulatorSuite: value not assignable from tasks 10135 ms
org.apache.spark.AccumulatorSuite: add value to collection accumulators 10214 ms
org.apache.spark.AccumulatorSuite: value not readable in tasks 10251 ms
org.apache.spark.AccumulatorSuite: collection accumulators 10163 ms
org.apache.spark.AccumulatorSuite: localValue readable in tasks 10156 ms
org.apache.spark.AccumulatorSuite: garbage collection 10246 ms
org.apache.spark.AccumulatorSuite: internal accumulators in TaskContext 10154 ms
org.apache.spark.AccumulatorSuite: internal accumulators in a stage 10130 ms
org.apache.spark.AccumulatorSuite: internal accumulators in multiple stages 10301 ms
org.apache.spark.AccumulatorSuite: internal accumulators in fully resubmitted stages 10162 ms
org.apache.spark.AccumulatorSuite: internal accumulators in partially resubmitted stages 10126 ms
org.apache.spark.CacheManagerSuite: (It is not a test) 10109 ms
org.apache.spark.CheckpointSuite: (It is not a test) 10160 ms
org.apache.spark.ContextCleanerSuite: (It is not a test) 10150 ms
org.apache.spark.DistributedSuite: task throws not serializable exception 10111 ms
org.apache.spark.DistributedSuite: local-cluster format 10839 ms
org.apache.spark.DistributedSuite: simple groupByKey 10093 ms
org.apache.spark.DistributedSuite: groupByKey where map output sizes exceed maxMbInFlight 10687 ms
org.apache.spark.DistributedSuite: accumulators 10105 ms
org.apache.spark.DistributedSuite: broadcast variables 10095 ms
org.apache.spark.DistributedSuite: repeatedly failing task 10140 ms
org.apache.spark.DistributedSuite: repeatedly failing task that crashes JVM 10096 ms
org.apache.spark.DistributedSuite: caching 10098 ms
org.apache.spark.DistributedSuite: caching on disk 10152 ms
org.apache.spark.DistributedSuite: caching in memory, replicated 10084 ms
org.apache.spark.DistributedSuite: caching in memory, serialized, replicated 10127 ms
org.apache.spark.DistributedSuite: caching on disk, replicated 10098 ms
org.apache.spark.DistributedSuite: caching in memory and disk, replicated 10102 ms
org.apache.spark.DistributedSuite: caching in memory and disk, serialized, replicated 10092 ms
org.apache.spark.DistributedSuite: compute without caching when no partitions fit in memory 10114 ms
org.apache.spark.DistributedSuite: compute when only some partitions fit in memory 10088 ms
org.apache.spark.DistributedSuite: passing environment variables to cluster 10157 ms
org.apache.spark.DistributedSuite: recover from node failures 10113 ms
org.apache.spark.DistributedSuite: recover from repeated node failures during shuffle-map 10092 ms
org.apache.spark.DistributedSuite: recover from repeated node failures during shuffle-reduce 10158 ms
org.apache.spark.DistributedSuite: recover from node failures with replication 10100 ms
org.apache.spark.DistributedSuite: unpersist RDDs 10165 ms
org.apache.spark.ExecutorAllocationManagerSuite: verify min/max executors 10069 ms
org.apache.spark.ExecutorAllocationManagerSuite: starting state 10073 ms
org.apache.spark.ExecutorAllocationManagerSuite: add executors 10075 ms
org.apache.spark.ExecutorAllocationManagerSuite: add executors capped by num pending tasks 10067 ms
org.apache.spark.ExecutorAllocationManagerSuite: cancel pending executors when no longer needed 10081 ms
org.apache.spark.ExecutorAllocationManagerSuite: remove executors 10070 ms
org.apache.spark.ExecutorAllocationManagerSuite: interleaving add and remove 10074 ms
org.apache.spark.ExecutorAllocationManagerSuite: starting/canceling add timer 10073 ms
org.apache.spark.ExecutorAllocationManagerSuite: starting/canceling remove timers 10080 ms
org.apache.spark.ExecutorAllocationManagerSuite: mock polling loop with no events 10083 ms
org.apache.spark.ExecutorAllocationManagerSuite: mock polling loop add behavior 10067 ms
org.apache.spark.ExecutorAllocationManagerSuite: mock polling loop remove behavior 10108 ms
org.apache.spark.ExecutorAllocationManagerSuite: listeners trigger add executors correctly 10066 ms
org.apache.spark.ExecutorAllocationManagerSuite: listeners trigger remove executors correctly 10499 ms
org.apache.spark.ExecutorAllocationManagerSuite: listeners trigger add and remove executor callbacks correctly 10111 ms
org.apache.spark.ExecutorAllocationManagerSuite: SPARK-4951: call onTaskStart before onBlockManagerAdded 10075 ms
org.apache.spark.ExecutorAllocationManagerSuite: SPARK-4951: onExecutorAdded should not add a busy executor to removeTimes 10087 ms
org.apache.spark.ExecutorAllocationManagerSuite: avoid ramp up when target < running executors 10717 ms
org.apache.spark.ExecutorAllocationManagerSuite: avoid ramp down initial executors until first job is submitted 10071 ms
org.apache.spark.ExecutorAllocationManagerSuite: avoid ramp down initial executors until idle executor is timeout 10125 ms
org.apache.spark.ExecutorAllocationManagerSuite: get pending task number and related locality preference 10078 ms
org.apache.spark.ExecutorAllocationManagerSuite: SPARK-8366: maxNumExecutorsNeeded should properly handle failed tasks 10067 ms
org.apache.spark.ExecutorAllocationManagerSuite: reset the state of allocation manager 10079 ms
org.apache.spark.ExternalShuffleServiceSuite: groupByKey without compression 10045 ms
org.apache.spark.ExternalShuffleServiceSuite: shuffle non-zero block size 10048 ms
org.apache.spark.ExternalShuffleServiceSuite: shuffle serializer 10262 ms
org.apache.spark.ExternalShuffleServiceSuite: zero sized blocks 10074 ms
org.apache.spark.ExternalShuffleServiceSuite: zero sized blocks without kryo 10341 ms
org.apache.spark.ExternalShuffleServiceSuite: shuffle on mutable pairs 10047 ms
org.apache.spark.ExternalShuffleServiceSuite: sorting on mutable pairs 10047 ms
org.apache.spark.ExternalShuffleServiceSuite: cogroup using mutable pairs 10060 ms
org.apache.spark.ExternalShuffleServiceSuite: subtract mutable pairs 10086 ms
org.apache.spark.ExternalShuffleServiceSuite: sort with Java non serializable class - Kryo 10047 ms
org.apache.spark.ExternalShuffleServiceSuite: sort with Java non serializable class - Java 10070 ms
org.apache.spark.ExternalShuffleServiceSuite: shuffle with different compression settings (SPARK-3426) 10049 ms
org.apache.spark.ExternalShuffleServiceSuite: [SPARK-4085] rerun map stage if reduce stage cannot find its local shuffle file 10045 ms
org.apache.spark.ExternalShuffleServiceSuite: metrics for shuffle without aggregation 10091 ms
org.apache.spark.ExternalShuffleServiceSuite: metrics for shuffle with aggregation 10050 ms
org.apache.spark.ExternalShuffleServiceSuite: multiple simultaneous attempts for one task (SPARK-8029) 10044 ms
org.apache.spark.ExternalShuffleServiceSuite: using external shuffle service 10277 ms
org.apache.spark.FailureSuite: failure in a single-stage job 10070 ms
org.apache.spark.FailureSuite: failure in a two-stage job 11321 ms
org.apache.spark.FailureSuite: failure in a map stage 11550 ms
org.apache.spark.FailureSuite: failure because task results are not serializable 12045 ms
org.apache.spark.FailureSuite: failure because task closure is not serializable 11176 ms
org.apache.spark.FailureSuite: managed memory leak error should not mask other failures (SPARK-9266 11498 ms
org.apache.spark.FailureSuite: last failure cause is sent back to driver 10094 ms
org.apache.spark.FailureSuite: failure cause stacktrace is sent back to driver if exception is not serializable 10092 ms
org.apache.spark.FailureSuite: failure cause stacktrace is sent back to driver if exception is not deserializable 11527 ms
org.apache.spark.FailureSuite: failure in tasks in a submitMapStage 10142 ms
org.apache.spark.FileServerSuite: Distributing files locally 11295 ms
org.apache.spark.FileServerSuite: Distributing files locally security On 10223 ms
org.apache.spark.FileServerSuite: Distributing files locally using URL as input 10346 ms
org.apache.spark.FileServerSuite: Dynamically adding JARS locally 11076 ms
org.apache.spark.FileServerSuite: Distributing files on a standalone cluster 10133 ms
org.apache.spark.FileServerSuite: Dynamically adding JARS on a standalone cluster 12705 ms
org.apache.spark.FileServerSuite: Dynamically adding JARS on a standalone cluster using local: URL 11761 ms
org.apache.spark.FileSuite: text files 10095 ms
org.apache.spark.FileSuite: text files (compressed) 10057 ms
org.apache.spark.FileSuite: SequenceFiles 10066 ms
org.apache.spark.FileSuite: SequenceFile (compressed) 10049 ms
org.apache.spark.FileSuite: SequenceFile with writable key 10061 ms
org.apache.spark.FileSuite: SequenceFile with writable value 10099 ms
org.apache.spark.FileSuite: SequenceFile with writable key and value 10104 ms
org.apache.spark.FileSuite: implicit conversions in reading SequenceFiles 10661 ms
org.apache.spark.FileSuite: object files of ints 10066 ms
org.apache.spark.FileSuite: object files of complex types 10089 ms
org.apache.spark.FileSuite: object files of classes from a JAR 10173 ms
org.apache.spark.FileSuite: write SequenceFile using new Hadoop API 10106 ms
org.apache.spark.FileSuite: read SequenceFile using new Hadoop API 10063 ms
org.apache.spark.FileSuite: binary file input as byte array 10070 ms
org.apache.spark.FileSuite: portabledatastream caching tests 10063 ms
org.apache.spark.FileSuite: portabledatastream persist disk storage 10066 ms
org.apache.spark.FileSuite: portabledatastream flatmap tests 10065 ms
org.apache.spark.FileSuite: fixed record length binary file as byte array 10064 ms
org.apache.spark.FileSuite: negative binary record length should raise an exception 10976 ms
org.apache.spark.FileSuite: file caching 10063 ms
org.apache.spark.FileSuite: prevent user from overwriting the empty directory (old Hadoop API) 10553 ms
org.apache.spark.FileSuite: prevent user from overwriting the non-empty directory (old Hadoop API) 10061 ms
org.apache.spark.FileSuite: allow user to disable the output directory existence checking (old Hadoop API 10100 ms
org.apache.spark.FileSuite: prevent user from overwriting the empty directory (new Hadoop API) 10066 ms
org.apache.spark.FileSuite: prevent user from overwriting the non-empty directory (new Hadoop API) 10065 ms
org.apache.spark.FileSuite: allow user to disable the output directory existence checking (new Hadoop API 10068 ms
org.apache.spark.FileSuite: save Hadoop Dataset through old Hadoop API 10067 ms
org.apache.spark.FileSuite: save Hadoop Dataset through new Hadoop API 10136 ms
org.apache.spark.FileSuite: Get input files via old Hadoop API 10105 ms
org.apache.spark.FileSuite: Get input files via new Hadoop API 10068 ms
org.apache.spark.FutureActionSuite: (It is not a test) 10209 ms
org.apache.spark.HashShuffleSuite: groupByKey without compression 10190 ms
org.apache.spark.HashShuffleSuite: shuffle non-zero block size 10124 ms
org.apache.spark.HashShuffleSuite: shuffle serializer 11167 ms
org.apache.spark.HashShuffleSuite: zero sized blocks 10147 ms
org.apache.spark.HashShuffleSuite: zero sized blocks without kryo 10184 ms
org.apache.spark.HashShuffleSuite: shuffle on mutable pairs 10188 ms
org.apache.spark.HashShuffleSuite: sorting on mutable pairs 10120 ms
org.apache.spark.HashShuffleSuite: cogroup using mutable pairs 10134 ms
org.apache.spark.HashShuffleSuite: subtract mutable pairs 10159 ms
org.apache.spark.HashShuffleSuite: sort with Java non serializable class - Kryo 10113 ms
org.apache.spark.HashShuffleSuite: sort with Java non serializable class - Java 10221 ms
org.apache.spark.HashShuffleSuite: shuffle with different compression settings (SPARK-3426) 10126 ms
org.apache.spark.HashShuffleSuite: [SPARK-4085] rerun map stage if reduce stage cannot find its local shuffle file 10130 ms
org.apache.spark.HashShuffleSuite: metrics for shuffle without aggregation 10131 ms
org.apache.spark.HashShuffleSuite: metrics for shuffle with aggregation 10120 ms
org.apache.spark.HashShuffleSuite: multiple simultaneous attempts for one task (SPARK-8029) 10134 ms
org.apache.spark.HeartbeatReceiverSuite: (It is not a test) 10095 ms
org.apache.spark.ImplicitOrderingSuite: basic inference of Orderings 10083 ms
org.apache.spark.JavaAPISuite: groupByOnPairRDD 10202 ms
org.apache.spark.JavaAPISuite: binaryFilesCaching 10210 ms
org.apache.spark.JavaAPISuite: sparkContextUnion 10141 ms
org.apache.spark.JavaAPISuite: checkpointAndComputation 10204 ms
org.apache.spark.JavaAPISuite: leftOuterJoin 10141 ms
org.apache.spark.JavaAPISuite: keyByOnPairRDD 10140 ms
org.apache.spark.JavaAPISuite: getNumPartitions 10136 ms
org.apache.spark.JavaAPISuite: wholeTextFiles 10141 ms
org.apache.spark.JavaAPISuite: binaryFiles 10124 ms
org.apache.spark.JavaAPISuite: foldReduce 10204 ms
org.apache.spark.JavaAPISuite: writeWithNewAPIHadoopFile 10221 ms
org.apache.spark.JavaAPISuite: hadoopFile 10134 ms
org.apache.spark.JavaAPISuite: lookup 10224 ms
org.apache.spark.JavaAPISuite: countAsync 10156 ms
org.apache.spark.JavaAPISuite: textFiles 10281 ms
org.apache.spark.JavaAPISuite: binaryRecords 10132 ms
org.apache.spark.JavaAPISuite: toLocalIterator 10261 ms
org.apache.spark.JavaAPISuite: repartitionAndSortWithinPartitions 10806 ms
org.apache.spark.JavaAPISuite: reduce 10138 ms
org.apache.spark.JavaAPISuite: sample 10137 ms
org.apache.spark.JavaAPISuite: sortBy 10143 ms
org.apache.spark.JavaAPISuite: mapsFromPairsToPairs 10139 ms
org.apache.spark.JavaAPISuite: flatMap 10772 ms
org.apache.spark.JavaAPISuite: cogroup3 10138 ms
org.apache.spark.JavaAPISuite: cogroup4 10219 ms
org.apache.spark.JavaAPISuite: randomSplit 10209 ms
org.apache.spark.JavaAPISuite: persist 10120 ms
org.apache.spark.JavaAPISuite: foreach 10129 ms
org.apache.spark.JavaAPISuite: hadoopFileCompressed 10631 ms
org.apache.spark.JavaAPISuite: accumulators 10145 ms
org.apache.spark.JavaAPISuite: textFilesCompressed 10151 ms
org.apache.spark.JavaAPISuite: testAsyncActionCancellation 10139 ms
org.apache.spark.JavaAPISuite: checkpointAndRestore 10157 ms
org.apache.spark.JavaAPISuite: sortByKey 10153 ms
org.apache.spark.JavaAPISuite: aggregateByKey 10231 ms
org.apache.spark.JavaAPISuite: map 11444 ms
org.apache.spark.JavaAPISuite: max 10227 ms
org.apache.spark.JavaAPISuite: min 10281 ms
org.apache.spark.JavaAPISuite: top 10142 ms
org.apache.spark.JavaAPISuite: zip 10146 ms
org.apache.spark.JavaAPISuite: fold 10173 ms
org.apache.spark.JavaAPISuite: glom 10679 ms
org.apache.spark.JavaAPISuite: take 10159 ms
org.apache.spark.JavaAPISuite: javaDoubleRDDHistoGram 10165 ms
org.apache.spark.JavaAPISuite: collectUnderlyingScalaRDD 10148 ms
org.apache.spark.JavaAPISuite: keyBy 10176 ms
org.apache.spark.JavaAPISuite: mapPartitionsWithIndex 10148 ms
org.apache.spark.JavaAPISuite: sampleByKey 10976 ms
org.apache.spark.JavaAPISuite: intersection 10176 ms
org.apache.spark.JavaAPISuite: aggregate 10156 ms
org.apache.spark.JavaAPISuite: cartesian 10264 ms
org.apache.spark.JavaAPISuite: countApproxDistinctByKey 11458 ms
org.apache.spark.JavaAPISuite: readWithNewAPIHadoopFile 10138 ms
org.apache.spark.JavaAPISuite: testRegisterKryoClasses 10176 ms
org.apache.spark.JavaAPISuite: groupBy 10154 ms
org.apache.spark.JavaAPISuite: sampleByKeyExact 10153 ms
org.apache.spark.JavaAPISuite: mapPartitions 10180 ms
org.apache.spark.JavaAPISuite: takeOrdered 10150 ms
org.apache.spark.JavaAPISuite: foldByKey 10281 ms
org.apache.spark.JavaAPISuite: objectFilesOfInts 10154 ms
org.apache.spark.JavaAPISuite: treeAggregate 10145 ms
org.apache.spark.JavaAPISuite: approximateResults 10204 ms
org.apache.spark.JavaAPISuite: treeReduce 10142 ms
org.apache.spark.JavaAPISuite: collectAsMapAndSerialize 10212 ms
org.apache.spark.JavaAPISuite: countApproxDistinct 10133 ms
org.apache.spark.JavaAPISuite: javaDoubleRDD 10135 ms
org.apache.spark.JavaAPISuite: mapOnPairRDD 10132 ms
org.apache.spark.JavaAPISuite: testAsyncActionErrorWrapping 10905 ms
org.apache.spark.JavaAPISuite: naturalMax 10158 ms
org.apache.spark.JavaAPISuite: naturalMin 10246 ms
org.apache.spark.JavaAPISuite: sequenceFile 10149 ms
org.apache.spark.JavaAPISuite: collectPartitions 10264 ms
org.apache.spark.JavaAPISuite: cogroup 10193 ms
org.apache.spark.JavaAPISuite: reduceByKey 10141 ms
org.apache.spark.JavaAPISuite: repartition 10153 ms
org.apache.spark.JavaAPISuite: iterator 10149 ms
org.apache.spark.JavaAPISuite: emptyRDD 10248 ms
org.apache.spark.JavaAPISuite: zipWithIndex 10130 ms
org.apache.spark.JavaAPISuite: foreachPartition 10165 ms
org.apache.spark.JavaAPISuite: combineByKey 10195 ms
org.apache.spark.JavaAPISuite: takeAsync 10250 ms
org.apache.spark.JavaAPISuite: collectAsMapWithIntArrayValues 10156 ms
org.apache.spark.JavaAPISuite: objectFilesOfComplexTypes 10163 ms
org.apache.spark.JavaAPISuite: zipWithUniqueId 10231 ms
org.apache.spark.JavaAPISuite: collectAsync 10182 ms
org.apache.spark.JavaAPISuite: foreachAsync 10160 ms
org.apache.spark.JavaAPISuite: zipPartitions 10187 ms
org.apache.spark.JavaAPISuite: reduceOnJavaDoubleRDD 10260 ms
org.apache.spark.JavaAPISuite: isEmpty 10160 ms
org.apache.spark.JavaJdbcRDDSuite: testJavaJdbcRDD 10156 ms
org.apache.spark.JobCancellationSuite: local mode, FIFO scheduler 10117 ms
org.apache.spark.JobCancellationSuite: local mode, fair scheduler 10257 ms
org.apache.spark.JobCancellationSuite: cluster mode, FIFO scheduler 10126 ms
org.apache.spark.JobCancellationSuite: cluster mode, fair scheduler 10134 ms
org.apache.spark.JobCancellationSuite: do not put partially executed partitions into cache 10119 ms
org.apache.spark.JobCancellationSuite: job group 10146 ms
org.apache.spark.JobCancellationSuite: inherited job group (SPARK-6629) 10183 ms
org.apache.spark.JobCancellationSuite: job group with interruption 10199 ms
org.apache.spark.JobCancellationSuite: two jobs sharing the same stage 10129 ms
org.apache.spark.PartitioningSuite: (It is not a test) 10126 ms
org.apache.spark.ShuffleNettySuite: groupByKey without compression 10686 ms
org.apache.spark.ShuffleNettySuite: shuffle non-zero block size 10075 ms
org.apache.spark.ShuffleNettySuite: shuffle serializer 10086 ms
org.apache.spark.ShuffleNettySuite: zero sized blocks 10077 ms
org.apache.spark.ShuffleNettySuite: zero sized blocks without kryo 10121 ms
org.apache.spark.ShuffleNettySuite: shuffle on mutable pairs 10068 ms
org.apache.spark.ShuffleNettySuite: sorting on mutable pairs 10118 ms
org.apache.spark.ShuffleNettySuite: cogroup using mutable pairs 10081 ms
org.apache.spark.ShuffleNettySuite: subtract mutable pairs 10080 ms
org.apache.spark.ShuffleNettySuite: sort with Java non serializable class - Kryo 10143 ms
org.apache.spark.ShuffleNettySuite: sort with Java non serializable class - Java 10080 ms
org.apache.spark.ShuffleNettySuite: shuffle with different compression settings (SPARK-3426) 11315 ms
org.apache.spark.ShuffleNettySuite: [SPARK-4085] rerun map stage if reduce stage cannot find its local shuffle file 10211 ms
org.apache.spark.ShuffleNettySuite: metrics for shuffle without aggregation 10086 ms
org.apache.spark.ShuffleNettySuite: metrics for shuffle with aggregation 10135 ms
org.apache.spark.ShuffleNettySuite: multiple simultaneous attempts for one task (SPARK-8029) 10089 ms
org.apache.spark.SortShuffleContextCleanerSuite: (It is not a test) 10124 ms
org.apache.spark.SortShuffleSuite: groupByKey without compression 10195 ms
org.apache.spark.SortShuffleSuite: shuffle non-zero block size 10142 ms
org.apache.spark.SortShuffleSuite: shuffle serializer 10138 ms
org.apache.spark.SortShuffleSuite: zero sized blocks 10124 ms
org.apache.spark.SortShuffleSuite: zero sized blocks without kryo 10128 ms
org.apache.spark.SortShuffleSuite: shuffle on mutable pairs 10119 ms
org.apache.spark.SortShuffleSuite: sorting on mutable pairs 10164 ms
org.apache.spark.SortShuffleSuite: cogroup using mutable pairs 10126 ms
org.apache.spark.SortShuffleSuite: subtract mutable pairs 10135 ms
org.apache.spark.SortShuffleSuite: sort with Java non serializable class - Kryo 11661 ms
org.apache.spark.SortShuffleSuite: sort with Java non serializable class - Java 10283 ms
org.apache.spark.SortShuffleSuite: shuffle with different compression settings (SPARK-3426) 10136 ms
org.apache.spark.SortShuffleSuite: [SPARK-4085] rerun map stage if reduce stage cannot find its local shuffle file 10133 ms
org.apache.spark.SortShuffleSuite: metrics for shuffle without aggregation 10178 ms
org.apache.spark.SortShuffleSuite: metrics for shuffle with aggregation 10154 ms
org.apache.spark.SortShuffleSuite: multiple simultaneous attempts for one task (SPARK-8029) 10144 ms
org.apache.spark.SortShuffleSuite: SortShuffleManager properly cleans up files for shuffles that use the serialized path 10130 ms
org.apache.spark.SortShuffleSuite: SortShuffleManager properly cleans up files for shuffles that use the deserialized path 10134 ms
org.apache.spark.SparkConfSuite: creating SparkContext with both master and app name 10337 ms
org.apache.spark.SparkConfSuite: SparkContext property overriding 10132 ms
org.apache.spark.SparkContextInfoSuite: getPersistentRDDs only returns RDDs that are marked as cached 10159 ms
org.apache.spark.SparkContextInfoSuite: getPersistentRDDs returns an immutable map 10109 ms
org.apache.spark.SparkContextInfoSuite: getRDDStorageInfo only reports on RDDs that actually persist data 10120 ms
org.apache.spark.SparkContextInfoSuite: call sites report correct locations 10114 ms
org.apache.spark.SparkContextSchedulerCreationSuite: bad-master 10047 ms
org.apache.spark.SparkContextSchedulerCreationSuite: local 10047 ms
org.apache.spark.SparkContextSchedulerCreationSuite: local-* 10042 ms
org.apache.spark.SparkContextSchedulerCreationSuite: local-n 10047 ms
org.apache.spark.SparkContextSchedulerCreationSuite: local-*-n-failures 10045 ms
org.apache.spark.SparkContextSchedulerCreationSuite: local-n-failures 10047 ms
org.apache.spark.SparkContextSchedulerCreationSuite: bad-local-n 10044 ms
org.apache.spark.SparkContextSchedulerCreationSuite: bad-local-n-failures 10053 ms
org.apache.spark.SparkContextSchedulerCreationSuite: local-default-parallelism 10080 ms
org.apache.spark.SparkContextSchedulerCreationSuite: simr 10046 ms
org.apache.spark.SparkContextSchedulerCreationSuite: local-cluster 10069 ms
org.apache.spark.SparkContextSchedulerCreationSuite: yarn-cluster 10046 ms
org.apache.spark.SparkContextSchedulerCreationSuite: yarn-standalone 10038 ms
org.apache.spark.SparkContextSchedulerCreationSuite: yarn-client 10045 ms
org.apache.spark.SparkContextSchedulerCreationSuite: mesos fine-grained 10045 ms
org.apache.spark.SparkContextSchedulerCreationSuite: mesos coarse-grained 10043 ms
org.apache.spark.SparkContextSchedulerCreationSuite: mesos with zookeeper 10053 ms
org.apache.spark.SparkContextSchedulerCreationSuite: mesos with zookeeper and Master URL starting with zk:// 10035 ms
org.apache.spark.SparkContextSuite: Only one SparkContext may be active at a time 10912 ms
org.apache.spark.SparkContextSuite: Can still construct a new SparkContext after failing to construct a previous one 10075 ms
org.apache.spark.SparkContextSuite: Check for multiple SparkContexts can be disabled via undocumented debug option 10051 ms
org.apache.spark.SparkContextSuite: Test getOrCreate 10051 ms
org.apache.spark.SparkContextSuite: addFile works 10113 ms
org.apache.spark.SparkContextSuite: addFile recursive works 10047 ms
org.apache.spark.SparkContextSuite: addFile recursive can't add directories by default 10050 ms
org.apache.spark.SparkContextSuite: Cancelling job group should not cause SparkContext to shutdown (SPARK-6414) 10043 ms
org.apache.spark.SparkContextSuite: Comma separated paths for newAPIHadoopFile/wholeTextFiles/binaryFiles (SPARK-7155) 10090 ms
org.apache.spark.SparkContextSuite: Default path for file based RDDs is properly set (SPARK-12517) 10047 ms
org.apache.spark.SparkContextSuite: stop() must not throw any exception 10099 ms
org.apache.spark.SparkContextSuite: No exception when both num-executors and dynamic allocation set 10046 ms
org.apache.spark.StatusTrackerSuite: basic status API usage 10080 ms
org.apache.spark.StatusTrackerSuite: getJobIdsForGroup() 10097 ms
org.apache.spark.StatusTrackerSuite: getJobIdsForGroup() with takeAsync() 10078 ms
org.apache.spark.StatusTrackerSuite: getJobIdsForGroup() with takeAsync() across multiple partitions 10095 ms
org.apache.spark.ThreadingSuite: accessing SparkContext form a different thread 10138 ms
org.apache.spark.ThreadingSuite: accessing SparkContext form multiple threads 10133 ms
org.apache.spark.ThreadingSuite: accessing multi-threaded SparkContext form multiple threads 10114 ms
org.apache.spark.ThreadingSuite: parallel job execution 10766 ms
org.apache.spark.ThreadingSuite: set local properties in different thread 10202 ms
org.apache.spark.ThreadingSuite: set and get local properties in parent-children thread 10134 ms
org.apache.spark.ThreadingSuite: mutation in parent local property does not affect child (SPARK-10563) 10246 ms
org.apache.spark.UnpersistSuite: unpersist RDD 10132 ms
org.apache.spark.api.python.PythonBroadcastSuite: (It is not a test) 10056 ms
org.apache.spark.api.python.SerDeUtilSuite: (It is not a test) 10060 ms
org.apache.spark.broadcast.BroadcastSuite: Using TorrentBroadcast locally 10104 ms
org.apache.spark.broadcast.BroadcastSuite: Accessing TorrentBroadcast variables from multiple threads 10118 ms
org.apache.spark.broadcast.BroadcastSuite: Accessing TorrentBroadcast variables in a local cluster 10119 ms
org.apache.spark.broadcast.BroadcastSuite: Test Lazy Broadcast variables with TorrentBroadcast 10320 ms
org.apache.spark.broadcast.BroadcastSuite: Unpersisting TorrentBroadcast on executors only in local mode 10296 ms
org.apache.spark.broadcast.BroadcastSuite: Unpersisting TorrentBroadcast on executors and driver in local mode 10122 ms
org.apache.spark.broadcast.BroadcastSuite: Unpersisting TorrentBroadcast on executors only in distributed mode 10186 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 10128 ms
org.apache.spark.broadcast.BroadcastSuite: Broadcast variables cannot be created after SparkContext is stopped (SPARK-5065) 11240 ms
org.apache.spark.deploy.LogUrlsStandaloneSuite: verify that correct log urls get propagated from workers 11547 ms
org.apache.spark.deploy.LogUrlsStandaloneSuite: verify that log urls reflect SPARK_PUBLIC_DNS (SPARK-6175) 15350 ms
org.apache.spark.deploy.SparkSubmitSuite: launch simple application with spark-submit 25873 ms
org.apache.spark.deploy.SparkSubmitSuite: includes jars passed in through --jars 15022 ms
org.apache.spark.deploy.SparkSubmitSuite: includes jars passed in through --packages 15713 ms
org.apache.spark.deploy.StandaloneDynamicAllocationSuite: dynamic allocation default behavior 10117 ms
org.apache.spark.deploy.StandaloneDynamicAllocationSuite: dynamic allocation with max cores <= cores per worker 10093 ms
org.apache.spark.deploy.StandaloneDynamicAllocationSuite: dynamic allocation with max cores > cores per worker 10088 ms
org.apache.spark.deploy.StandaloneDynamicAllocationSuite: dynamic allocation with cores per executor 10091 ms
org.apache.spark.deploy.StandaloneDynamicAllocationSuite: dynamic allocation with cores per executor AND max cores 10140 ms
org.apache.spark.deploy.StandaloneDynamicAllocationSuite: kill the same executor twice (SPARK-9795) 10097 ms
org.apache.spark.deploy.StandaloneDynamicAllocationSuite: the pending replacement executors should not be lost (SPARK-10515) 10139 ms
org.apache.spark.deploy.StandaloneDynamicAllocationSuite: disable force kill for busy executors (SPARK-9552) 10146 ms
org.apache.spark.input.WholeTextFileRecordReaderSuite: (It is not a test) 10052 ms
org.apache.spark.launcher.LauncherBackendSuite: local: launcher handle 30062 ms
org.apache.spark.launcher.LauncherBackendSuite: standalone/client: launcher handle 30044 ms
org.apache.spark.metrics.InputOutputMetricsSuite: (It is not a test) 10124 ms
org.apache.spark.rdd.AsyncRDDActionsSuite: (It is not a test) 10202 ms
org.apache.spark.rdd.DoubleRDDSuite: (It is not a test) 10119 ms
org.apache.spark.rdd.JdbcRDDSuite: basic functionality 10658 ms
org.apache.spark.rdd.JdbcRDDSuite: large id overflow 10196 ms
org.apache.spark.rdd.LocalCheckpointSuite: (It is not a test) 10114 ms
org.apache.spark.rdd.PairRDDFunctionsSuite: (It is not a test) 10047 ms
org.apache.spark.rdd.PartitionPruningRDDSuite: (It is not a test) 10127 ms
org.apache.spark.rdd.PartitionwiseSampledRDDSuite: (It is not a test) 10133 ms
org.apache.spark.rdd.PipedRDDSuite: (It is not a test) 10060 ms
org.apache.spark.rdd.RDDOperationScopeSuite: (It is not a test) 10110 ms
org.apache.spark.rdd.RDDSuite: (It is not a test) 10069 ms
org.apache.spark.rdd.SortingSuite: (It is not a test) 10296 ms
org.apache.spark.rdd.ZippedPartitionsSuite: (It is not a test) 10115 ms
org.apache.spark.scheduler.AdaptiveSchedulingSuite: simple use of submitMapStage 10147 ms
org.apache.spark.scheduler.AdaptiveSchedulingSuite: fetching multiple map output partitions per reduce 11604 ms
org.apache.spark.scheduler.AdaptiveSchedulingSuite: fetching all map output partitions in one reduce 11138 ms
org.apache.spark.scheduler.AdaptiveSchedulingSuite: more reduce tasks than map output partitions 10568 ms
org.apache.spark.scheduler.CoarseGrainedSchedulerBackendSuite: serialized task larger than akka frame size 10072 ms
org.apache.spark.scheduler.DAGSchedulerSuite: (It is not a test) 10051 ms
org.apache.spark.scheduler.EventLoggingListenerSuite: End-to-end event logging 10054 ms
org.apache.spark.scheduler.EventLoggingListenerSuite: End-to-end event logging with compression 10056 ms
org.apache.spark.scheduler.OutputCommitCoordinatorIntegrationSuite: (It is not a test) 10064 ms
org.apache.spark.scheduler.OutputCommitCoordinatorSuite: (It is not a test) 10098 ms
org.apache.spark.scheduler.PoolSuite: FIFO Scheduler Test 10128 ms
org.apache.spark.scheduler.PoolSuite: Fair Scheduler Test 10140 ms
org.apache.spark.scheduler.PoolSuite: Nested Pool Test 10177 ms
org.apache.spark.scheduler.ReplayListenerSuite: End-to-end replay 10123 ms
org.apache.spark.scheduler.ReplayListenerSuite: End-to-end replay with compression 10126 ms
org.apache.spark.scheduler.SparkListenerSuite: stop in listener 10115 ms
org.apache.spark.scheduler.SparkListenerSuite: basic creation of StageInfo 10112 ms
org.apache.spark.scheduler.SparkListenerSuite: basic creation of StageInfo with shuffle 10873 ms
org.apache.spark.scheduler.SparkListenerSuite: StageInfo with fewer tasks than partitions 10135 ms
org.apache.spark.scheduler.SparkListenerSuite: local metrics 10177 ms
org.apache.spark.scheduler.SparkListenerSuite: onTaskGettingResult() called when result fetched remotely 10142 ms
org.apache.spark.scheduler.SparkListenerSuite: onTaskGettingResult() not called when result sent directly 10199 ms
org.apache.spark.scheduler.SparkListenerSuite: onTaskEnd() should be called for all started tasks, even after job has been killed 10129 ms
org.apache.spark.scheduler.SparkListenerSuite: extraListeners 10238 ms
org.apache.spark.scheduler.SparkListenerWithClusterSuite: (It is not a test) 10046 ms
org.apache.spark.scheduler.TaskContextSuite: provide metrics sources 10054 ms
org.apache.spark.scheduler.TaskContextSuite: calls TaskCompletionListener after failure 10105 ms
org.apache.spark.scheduler.TaskContextSuite: attemptNumber should return attempt number, not task id (SPARK-4014) 10068 ms
org.apache.spark.scheduler.TaskResultGetterSuite: handling results smaller than Akka frame size 10125 ms
org.apache.spark.scheduler.TaskResultGetterSuite: handling results larger than Akka frame size 10205 ms
org.apache.spark.scheduler.TaskResultGetterSuite: task retried if result missing from block manager 10614 ms
org.apache.spark.scheduler.TaskResultGetterSuite: failed task deserialized with the correct classloader (SPARK-11195) 10339 ms
org.apache.spark.scheduler.TaskSchedulerImplSuite: Scheduler does not always schedule tasks on the same workers 10124 ms
org.apache.spark.scheduler.TaskSchedulerImplSuite: Scheduler correctly accounts for multiple CPUs per task 10215 ms
org.apache.spark.scheduler.TaskSchedulerImplSuite: Scheduler does not crash when tasks are not serializable 10116 ms
org.apache.spark.scheduler.TaskSchedulerImplSuite: refuse to schedule concurrent attempts for the same stage (SPARK-8103) 10121 ms
org.apache.spark.scheduler.TaskSchedulerImplSuite: don't schedule more tasks after a taskset is zombie 10131 ms
org.apache.spark.scheduler.TaskSchedulerImplSuite: if a zombie attempt finishes, continue scheduling tasks for non-zombie attempts 11115 ms
org.apache.spark.scheduler.TaskSchedulerImplSuite: tasks are not re-scheduled while executor loss reason is pending 10829 ms
org.apache.spark.scheduler.TaskSetManagerSuite: TaskSet with no preferences 10053 ms
org.apache.spark.scheduler.TaskSetManagerSuite: multiple offers with no preferences 10185 ms
org.apache.spark.scheduler.TaskSetManagerSuite: skip unsatisfiable locality levels 10431 ms
org.apache.spark.scheduler.TaskSetManagerSuite: basic delay scheduling 10243 ms
org.apache.spark.scheduler.TaskSetManagerSuite: we do not need to delay scheduling when we only have noPref tasks in the queue 10189 ms
org.apache.spark.scheduler.TaskSetManagerSuite: delay scheduling with fallback 10063 ms
org.apache.spark.scheduler.TaskSetManagerSuite: delay scheduling with failed hosts 10248 ms
org.apache.spark.scheduler.TaskSetManagerSuite: task result lost 10079 ms
org.apache.spark.scheduler.TaskSetManagerSuite: repeated failures lead to task set abortion 10569 ms
org.apache.spark.scheduler.TaskSetManagerSuite: executors should be blacklisted after task failure, in spite of locality preferences 10086 ms
org.apache.spark.scheduler.TaskSetManagerSuite: new executors get added and lost 10141 ms
org.apache.spark.scheduler.TaskSetManagerSuite: Executors exit for reason unrelated to currently running tasks 10055 ms
org.apache.spark.scheduler.TaskSetManagerSuite: test RACK_LOCAL tasks 10070 ms
org.apache.spark.scheduler.TaskSetManagerSuite: do not emit warning when serialized task is small 10179 ms
org.apache.spark.scheduler.TaskSetManagerSuite: emit warning when serialized task is large 10076 ms
org.apache.spark.scheduler.TaskSetManagerSuite: Not serializable exception thrown if the task cannot be serialized 10048 ms
org.apache.spark.scheduler.TaskSetManagerSuite: abort the job if total size of results is too large 10199 ms
org.apache.spark.scheduler.TaskSetManagerSuite: speculative and noPref task should be scheduled after node-local 10082 ms
org.apache.spark.scheduler.TaskSetManagerSuite: node-local tasks should be scheduled right away when there are only node-local and no-preference tasks 10055 ms
org.apache.spark.scheduler.TaskSetManagerSuite: SPARK-4939: node-local tasks should be scheduled right after process-local tasks finished 10079 ms
org.apache.spark.scheduler.TaskSetManagerSuite: SPARK-4939: no-pref tasks should be scheduled after process-local tasks finished 10076 ms
org.apache.spark.scheduler.TaskSetManagerSuite: Ensure TaskSetManager is usable after addition of levels 11487 ms
org.apache.spark.scheduler.TaskSetManagerSuite: Test that locations with HDFSCacheTaskLocation are treated as PROCESS_LOCAL 11744 ms
org.apache.spark.scheduler.cluster.mesos.CoarseMesosSchedulerBackendSuite: (It is not a test) 10123 ms
org.apache.spark.serializer.GenericAvroSerializerSuite: (It is not a test) 10240 ms
org.apache.spark.serializer.KryoSerializerAutoResetDisabledSuite: (It is not a test) 10313 ms
org.apache.spark.serializer.KryoSerializerDistributedSuite: kryo objects are serialised consistently in different processes 10196 ms
org.apache.spark.serializer.KryoSerializerResizableOutputSuite: kryo without resizable output buffer should fail on large array 10203 ms
org.apache.spark.serializer.KryoSerializerResizableOutputSuite: kryo with resizable output buffer should succeed on large array 10126 ms
org.apache.spark.serializer.KryoSerializerSuite: (It is not a test) 10165 ms
org.apache.spark.serializer.ProactiveClosureSerializationSuite: (It is not a test) 10052 ms
org.apache.spark.shuffle.BlockStoreShuffleReaderSuite: read() releases resources on completion 10044 ms
org.apache.spark.shuffle.ShuffleDependencySuite: key, value, and combiner classes correct in shuffle dependency without aggregation 10133 ms
org.apache.spark.shuffle.ShuffleDependencySuite: key, value, and combiner classes available in shuffle dependency with aggregation 10147 ms
org.apache.spark.shuffle.ShuffleDependencySuite: combineByKey null combiner class tag handled correctly 10126 ms
org.apache.spark.storage.FlatmapIteratorSuite: Flatmap Iterator to Disk 10086 ms
org.apache.spark.storage.FlatmapIteratorSuite: Flatmap Iterator to Memory 10081 ms
org.apache.spark.storage.FlatmapIteratorSuite: Serializer Reset 10087 ms
org.apache.spark.ui.UISeleniumSuite: effects of unpersist() / persist() should be reflected 10090 ms
org.apache.spark.ui.UISeleniumSuite: failed stages should not appear to be active 10086 ms
org.apache.spark.ui.UISeleniumSuite: killEnabled should properly control kill button display 10624 ms
org.apache.spark.ui.UISeleniumSuite: jobs page should not display job group name unless some job was submitted in a job group 10141 ms
org.apache.spark.ui.UISeleniumSuite: job progress bars should handle stage / task failures 10099 ms
org.apache.spark.ui.UISeleniumSuite: job details page should display useful information for stages that haven't started 10742 ms
org.apache.spark.ui.UISeleniumSuite: job progress bars / cells reflect skipped stages / tasks 10099 ms
org.apache.spark.ui.UISeleniumSuite: stages that aren't run appear as 'skipped stages' after a job finishes 10135 ms
org.apache.spark.ui.UISeleniumSuite: jobs with stages that are skipped should show correct link descriptions on all jobs page 10085 ms
org.apache.spark.ui.UISeleniumSuite: attaching and detaching a new tab 10134 ms
org.apache.spark.ui.UISeleniumSuite: kill stage POST/GET response is correct 10087 ms
org.apache.spark.ui.UISeleniumSuite: stage & job retention 10148 ms
org.apache.spark.ui.UISeleniumSuite: live UI json application list 10092 ms
org.apache.spark.ui.UISeleniumSuite: job stages should have expected dotfile under DAG visualization 10101 ms
org.apache.spark.ui.UISuite: verify appUIAddress contains the scheme 10142 ms
org.apache.spark.ui.UISuite: verify appUIAddress contains the port 10224 ms
org.apache.spark.util.ClosureCleanerSuite: closures inside an object 10048 ms
org.apache.spark.util.ClosureCleanerSuite: closures inside a class 10059 ms
org.apache.spark.util.ClosureCleanerSuite: closures inside a class with no default constructor 10063 ms
org.apache.spark.util.ClosureCleanerSuite: closures that don't use fields of the outer class 10057 ms
org.apache.spark.util.ClosureCleanerSuite: nested closures inside an object 10056 ms
org.apache.spark.util.ClosureCleanerSuite: nested closures inside a class 10055 ms
org.apache.spark.util.ClosureCleanerSuite: toplevel return statements in closures are identified at cleaning time 10058 ms
org.apache.spark.util.ClosureCleanerSuite: return statements from named functions nested in closures don't raise exceptions 10063 ms
org.apache.spark.util.ClosureCleanerSuite: user provided closures are actually cleaned 10086 ms
org.apache.spark.util.ClosureCleanerSuite2: (It is not a test) 10065 ms
org.apache.spark.util.MutableURLClassLoaderSuite: driver sets context class loader in local mode 10185 ms
org.apache.spark.util.collection.ExternalAppendOnlyMapSuite: single insert insert 10062 ms
org.apache.spark.util.collection.ExternalAppendOnlyMapSuite: multiple insert 10063 ms
org.apache.spark.util.collection.ExternalAppendOnlyMapSuite: insert with collision 10057 ms
org.apache.spark.util.collection.ExternalAppendOnlyMapSuite: ordering 10090 ms
org.apache.spark.util.collection.ExternalAppendOnlyMapSuite: null keys and values 10280 ms
org.apache.spark.util.collection.ExternalAppendOnlyMapSuite: simple aggregator 10231 ms
org.apache.spark.util.collection.ExternalAppendOnlyMapSuite: simple cogroup 10055 ms
org.apache.spark.util.collection.ExternalAppendOnlyMapSuite: spilling 10055 ms
org.apache.spark.util.collection.ExternalAppendOnlyMapSuite: spilling with compression 10984 ms
org.apache.spark.util.collection.ExternalAppendOnlyMapSuite: spilling with hash collisions 10065 ms
org.apache.spark.util.collection.ExternalAppendOnlyMapSuite: spilling with many hash collisions 11874 ms
org.apache.spark.util.collection.ExternalAppendOnlyMapSuite: MaxValue key 14587 ms
org.apache.spark.util.collection.ExternalAppendOnlyMapSuite: spilling with null keys and values 11714 ms
org.apache.spark.util.collection.ExternalAppendOnlyMapSuite: external aggregation updates peak execution memory 10090 ms
org.apache.spark.util.collection.ExternalSorterSuite: empty data stream with kryo ser 10035 ms
org.apache.spark.util.collection.ExternalSorterSuite: empty data stream with java ser 10036 ms
org.apache.spark.util.collection.ExternalSorterSuite: few elements per partition with kryo ser 10059 ms
org.apache.spark.util.collection.ExternalSorterSuite: few elements per partition with java ser 10033 ms
org.apache.spark.util.collection.ExternalSorterSuite: empty partitions with spilling with kryo ser 10043 ms
org.apache.spark.util.collection.ExternalSorterSuite: empty partitions with spilling with java ser 10049 ms
org.apache.spark.util.collection.ExternalSorterSuite: spilling in local cluster with kryo ser 10046 ms
org.apache.spark.util.collection.ExternalSorterSuite: spilling in local cluster with java ser 10035 ms
org.apache.spark.util.collection.ExternalSorterSuite: spilling in local cluster with many reduce tasks with kryo ser 10034 ms
org.apache.spark.util.collection.ExternalSorterSuite: spilling in local cluster with many reduce tasks with java ser 10376 ms
org.apache.spark.util.collection.ExternalSorterSuite: cleanup of intermediate files in sorter 11610 ms
org.apache.spark.util.collection.ExternalSorterSuite: cleanup of intermediate files in sorter with failures 10036 ms
org.apache.spark.util.collection.ExternalSorterSuite: cleanup of intermediate files in shuffle 10037 ms
org.apache.spark.util.collection.ExternalSorterSuite: cleanup of intermediate files in shuffle with failures 10045 ms
org.apache.spark.util.collection.ExternalSorterSuite: no sorting or partial aggregation with kryo ser 10043 ms
org.apache.spark.util.collection.ExternalSorterSuite: no sorting or partial aggregation with java ser 10036 ms
org.apache.spark.util.collection.ExternalSorterSuite: no sorting or partial aggregation with spilling with kryo ser 11563 ms
org.apache.spark.util.collection.ExternalSorterSuite: no sorting or partial aggregation with spilling with java ser 10492 ms
org.apache.spark.util.collection.ExternalSorterSuite: sorting, no partial aggregation with kryo ser 10034 ms
org.apache.spark.util.collection.ExternalSorterSuite: sorting, no partial aggregation with java ser 10053 ms
org.apache.spark.util.collection.ExternalSorterSuite: sorting, no partial aggregation with spilling with kryo ser 10037 ms
org.apache.spark.util.collection.ExternalSorterSuite: sorting, no partial aggregation with spilling with java ser 10037 ms
org.apache.spark.util.collection.ExternalSorterSuite: partial aggregation, no sorting with kryo ser 10579 ms
org.apache.spark.util.collection.ExternalSorterSuite: partial aggregation, no sorting with java ser 10037 ms
org.apache.spark.util.collection.ExternalSorterSuite: partial aggregation, no sorting with spilling with kryo ser 10033 ms
org.apache.spark.util.collection.ExternalSorterSuite: partial aggregation, no sorting with spilling with java ser 13698 ms
org.apache.spark.util.collection.ExternalSorterSuite: partial aggregation and sorting with kryo ser 10059 ms
org.apache.spark.util.collection.ExternalSorterSuite: partial aggregation and sorting with java ser 10033 ms
org.apache.spark.util.collection.ExternalSorterSuite: partial aggregation and sorting with spilling with kryo ser 10061 ms
org.apache.spark.util.collection.ExternalSorterSuite: partial aggregation and sorting with spilling with java ser 10046 ms
org.apache.spark.util.collection.ExternalSorterSuite: sort without breaking sorting contracts with kryo ser 10823 ms
org.apache.spark.util.collection.ExternalSorterSuite: sort without breaking sorting contracts with java ser 10612 ms
org.apache.spark.util.collection.ExternalSorterSuite: spilling with hash collisions 10064 ms
org.apache.spark.util.collection.ExternalSorterSuite: spilling with many hash collisions 10035 ms
org.apache.spark.util.collection.ExternalSorterSuite: MaxValue key 10045 ms
org.apache.spark.util.collection.ExternalSorterSuite: spilling with null keys and values 10041 ms
org.apache.spark.util.collection.ExternalSorterSuite: sorting updates peak execution memory 10068 ms
org.apache.spark.streaming.kafka.DirectKafkaStreamSuite: basic stream receiving with multiple topics and smallest starting offset 11104 ms
org.apache.spark.streaming.kafka.DirectKafkaStreamSuite: receiving from largest starting offset 10379 ms
org.apache.spark.streaming.kafka.DirectKafkaStreamSuite: creating stream by offset 10321 ms
org.apache.spark.streaming.kafka.DirectKafkaStreamSuite: offset recovery 10240 ms
org.apache.spark.streaming.kafka.DirectKafkaStreamSuite: Direct Kafka stream report input information 10283 ms
org.apache.spark.streaming.kafka.DirectKafkaStreamSuite: using rate controller 10236 ms
org.apache.spark.streaming.kafka.JavaDirectKafkaStreamSuite: testKafkaStream 10740 ms
org.apache.spark.streaming.kafka.JavaKafkaRDDSuite: testKafkaRDD 10988 ms
org.apache.spark.streaming.kafka.JavaKafkaStreamSuite: testKafkaStream 10765 ms
org.apache.spark.streaming.kafka.KafkaRDDSuite: (It is not a test) 11504 ms
org.apache.spark.streaming.kafka.KafkaStreamSuite: Kafka input stream 10064 ms
org.apache.spark.streaming.kafka.ReliableKafkaStreamSuite: (It is not a test) 11819 ms
org.apache.spark.streaming.mqtt.JavaMQTTStreamSuite: testMQTTStream 10121 ms
org.apache.spark.streaming.mqtt.MQTTStreamSuite: (It is not a test) 12162 ms
org.apache.spark.streaming.twitter.JavaTwitterStreamSuite: testTwitterStream 10084 ms
org.apache.spark.streaming.twitter.TwitterStreamSuite: twitter input stream 11549 ms
org.apache.spark.streaming.zeromq.JavaZeroMQStreamSuite: testZeroMQStream 10093 ms
org.apache.spark.streaming.zeromq.ZeroMQStreamSuite: zeromq input stream 11563 ms
org.apache.spark.streaming.kinesis.JavaKinesisStreamSuite: testCustomHandler 10086 ms
org.apache.spark.streaming.kinesis.JavaKinesisStreamSuite: testKinesisStream 10076 ms
org.apache.spark.streaming.kinesis.WithAggregationKinesisStreamSuite: (It is not a test) 11204 ms
org.apache.spark.streaming.kinesis.WithoutAggregationKinesisStreamSuite: (It is not a test) 10088 ms
org.apache.spark.graphx.EdgeRDDSuite: cache, getStorageLevel 10049 ms
org.apache.spark.graphx.GraphLoaderSuite: edgeListFile 10035 ms
org.apache.spark.graphx.GraphOpsSuite: joinVertices 10050 ms
org.apache.spark.graphx.GraphOpsSuite: collectNeighborIds 10059 ms
org.apache.spark.graphx.GraphOpsSuite: filter 10070 ms
org.apache.spark.graphx.GraphOpsSuite: convertToCanonicalEdges 10082 ms
org.apache.spark.graphx.GraphOpsSuite: collectEdgesCycleDirectionOut 10049 ms
org.apache.spark.graphx.GraphOpsSuite: collectEdgesCycleDirectionIn 10037 ms
org.apache.spark.graphx.GraphOpsSuite: collectEdgesCycleDirectionEither 10055 ms
org.apache.spark.graphx.GraphOpsSuite: collectEdgesChainDirectionOut 10049 ms
org.apache.spark.graphx.GraphOpsSuite: collectEdgesChainDirectionIn 10050 ms
org.apache.spark.graphx.GraphOpsSuite: collectEdgesChainDirectionEither 10044 ms
org.apache.spark.graphx.GraphSuite: fromEdgeTuples 10061 ms
org.apache.spark.graphx.GraphSuite: fromEdges 10060 ms
org.apache.spark.graphx.GraphSuite: apply 10054 ms
org.apache.spark.graphx.GraphSuite: triplets 10049 ms
org.apache.spark.graphx.GraphSuite: partitionBy 10046 ms
org.apache.spark.graphx.GraphSuite: mapVertices 10048 ms
org.apache.spark.graphx.GraphSuite: mapVertices changing type with same erased type 10043 ms
org.apache.spark.graphx.GraphSuite: mapEdges 10046 ms
org.apache.spark.graphx.GraphSuite: mapTriplets 10050 ms
org.apache.spark.graphx.GraphSuite: reverse 10042 ms
org.apache.spark.graphx.GraphSuite: reverse with join elimination 10043 ms
org.apache.spark.graphx.GraphSuite: subgraph 10039 ms
org.apache.spark.graphx.GraphSuite: mask 10040 ms
org.apache.spark.graphx.GraphSuite: groupEdges 10046 ms
org.apache.spark.graphx.GraphSuite: mapReduceTriplets 10052 ms
org.apache.spark.graphx.GraphSuite: aggregateMessages 10040 ms
org.apache.spark.graphx.GraphSuite: outerJoinVertices 10038 ms
org.apache.spark.graphx.GraphSuite: more edge partitions than vertex partitions 10062 ms
org.apache.spark.graphx.GraphSuite: checkpoint 10068 ms
org.apache.spark.graphx.GraphSuite: cache, getStorageLevel 10039 ms
org.apache.spark.graphx.GraphSuite: non-default number of edge partitions 10047 ms
org.apache.spark.graphx.PregelSuite: 1 iteration 11425 ms
org.apache.spark.graphx.PregelSuite: chain propagation 10084 ms
org.apache.spark.graphx.VertexRDDSuite: filter 10037 ms
org.apache.spark.graphx.VertexRDDSuite: mapValues 10038 ms
org.apache.spark.graphx.VertexRDDSuite: minus 10051 ms
org.apache.spark.graphx.VertexRDDSuite: minus with RDD[(VertexId, VD)] 10041 ms
org.apache.spark.graphx.VertexRDDSuite: minus with non-equal number of partitions 10040 ms
org.apache.spark.graphx.VertexRDDSuite: diff 10043 ms
org.apache.spark.graphx.VertexRDDSuite: diff with RDD[(VertexId, VD)] 10050 ms
org.apache.spark.graphx.VertexRDDSuite: diff vertices with non-equal number of partitions 10037 ms
org.apache.spark.graphx.VertexRDDSuite: leftJoin 10040 ms
org.apache.spark.graphx.VertexRDDSuite: leftJoin vertices with non-equal number of partitions 10046 ms
org.apache.spark.graphx.VertexRDDSuite: innerJoin 10045 ms
org.apache.spark.graphx.VertexRDDSuite: innerJoin vertices with the non-equal number of partitions 10064 ms
org.apache.spark.graphx.VertexRDDSuite: aggregateUsingIndex 10086 ms
org.apache.spark.graphx.VertexRDDSuite: mergeFunc 10048 ms
org.apache.spark.graphx.VertexRDDSuite: cache, getStorageLevel 10043 ms
org.apache.spark.graphx.lib.ConnectedComponentsSuite: Grid Connected Components 10050 ms
org.apache.spark.graphx.lib.ConnectedComponentsSuite: Reverse Grid Connected Components 10049 ms
org.apache.spark.graphx.lib.ConnectedComponentsSuite: Chain Connected Components 10065 ms
org.apache.spark.graphx.lib.ConnectedComponentsSuite: Reverse Chain Connected Components 10054 ms
org.apache.spark.graphx.lib.ConnectedComponentsSuite: Connected Components on a Toy Connected Graph 10050 ms
org.apache.spark.graphx.lib.LabelPropagationSuite: Label Propagation 10048 ms
org.apache.spark.graphx.lib.PageRankSuite: Star PageRank 10069 ms
org.apache.spark.graphx.lib.PageRankSuite: Star PersonalPageRank 10053 ms
org.apache.spark.graphx.lib.PageRankSuite: Grid PageRank 10695 ms
org.apache.spark.graphx.lib.PageRankSuite: Chain PageRank 10038 ms
org.apache.spark.graphx.lib.PageRankSuite: Chain PersonalizedPageRank 10043 ms
org.apache.spark.graphx.lib.SVDPlusPlusSuite: Test SVD++ with mean square error on training set 10046 ms
org.apache.spark.graphx.lib.ShortestPathsSuite: Shortest Path Computations 10037 ms
org.apache.spark.graphx.lib.StronglyConnectedComponentsSuite: Island Strongly Connected Components 10116 ms
org.apache.spark.graphx.lib.StronglyConnectedComponentsSuite: Cycle Strongly Connected Components 10048 ms
org.apache.spark.graphx.lib.StronglyConnectedComponentsSuite: 2 Cycle Strongly Connected Components 10047 ms
org.apache.spark.graphx.lib.TriangleCountSuite: Count a single triangle 10063 ms
org.apache.spark.graphx.lib.TriangleCountSuite: Count two triangles 10070 ms
org.apache.spark.graphx.lib.TriangleCountSuite: Count two triangles with bi-directed edges 10070 ms
org.apache.spark.graphx.lib.TriangleCountSuite: Count a single triangle with duplicate edges 10096 ms
org.apache.spark.graphx.util.GraphGeneratorsSuite: logNormalGraph 10038 ms
org.apache.spark.graphx.util.GraphGeneratorsSuite: rmatGraph numEdges upper bound 10036 ms
org.apache.spark.ml.PipelineSuite: (It is not a test) 10052 ms
org.apache.spark.ml.ann.ANNSuite: (It is not a test) 10042 ms
org.apache.spark.ml.classification.DecisionTreeClassifierSuite: (It is not a test) 10046 ms
org.apache.spark.ml.classification.GBTClassifierSuite: (It is not a test) 10060 ms
org.apache.spark.ml.classification.LogisticRegressionSuite: (It is not a test) 10058 ms
org.apache.spark.ml.classification.MultilayerPerceptronClassifierSuite: (It is not a test) 10062 ms
org.apache.spark.ml.classification.NaiveBayesSuite: (It is not a test) 10055 ms
org.apache.spark.ml.classification.OneVsRestSuite: (It is not a test) 10067 ms
org.apache.spark.ml.classification.RandomForestClassifierSuite: (It is not a test) 10045 ms
org.apache.spark.ml.clustering.KMeansSuite: (It is not a test) 10042 ms
org.apache.spark.ml.clustering.LDASuite: (It is not a test) 10044 ms
org.apache.spark.ml.evaluation.BinaryClassificationEvaluatorSuite: (It is not a test) 10075 ms
org.apache.spark.ml.evaluation.MulticlassClassificationEvaluatorSuite: (It is not a test) 10048 ms
org.apache.spark.ml.evaluation.RegressionEvaluatorSuite: (It is not a test) 10081 ms
org.apache.spark.ml.feature.BinarizerSuite: (It is not a test) 10055 ms
org.apache.spark.ml.feature.BucketizerSuite: (It is not a test) 10038 ms
org.apache.spark.ml.feature.ChiSqSelectorSuite: (It is not a test) 10043 ms
org.apache.spark.ml.feature.CountVectorizerSuite: (It is not a test) 10065 ms
org.apache.spark.ml.feature.DCTSuite: (It is not a test) 10048 ms
org.apache.spark.ml.feature.HashingTFSuite: (It is not a test) 10046 ms
org.apache.spark.ml.feature.IDFSuite: (It is not a test) 10045 ms
org.apache.spark.ml.feature.InteractionSuite: (It is not a test) 10081 ms
org.apache.spark.ml.feature.MinMaxScalerSuite: (It is not a test) 10035 ms
org.apache.spark.ml.feature.NGramSuite: (It is not a test) 11117 ms
org.apache.spark.ml.feature.NormalizerSuite: (It is not a test) 10051 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) 10040 ms
org.apache.spark.ml.feature.PolynomialExpansionSuite: (It is not a test) 10069 ms
org.apache.spark.ml.feature.QuantileDiscretizerSuite: (It is not a test) 10057 ms
org.apache.spark.ml.feature.RFormulaSuite: (It is not a test) 10731 ms
org.apache.spark.ml.feature.RegexTokenizerSuite: (It is not a test) 10040 ms
org.apache.spark.ml.feature.SQLTransformerSuite: (It is not a test) 10119 ms
org.apache.spark.ml.feature.StandardScalerSuite: (It is not a test) 10041 ms
org.apache.spark.ml.feature.StopWordsRemoverSuite: (It is not a test) 10047 ms
org.apache.spark.ml.feature.StringIndexerSuite: (It is not a test) 10053 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) 10068 ms
org.apache.spark.ml.feature.VectorIndexerSuite: (It is not a test) 10059 ms
org.apache.spark.ml.feature.VectorSlicerSuite: (It is not a test) 10048 ms
org.apache.spark.ml.feature.Word2VecSuite: (It is not a test) 10043 ms
org.apache.spark.ml.optim.WeightedLeastSquaresSuite: (It is not a test) 10054 ms
org.apache.spark.ml.recommendation.ALSSuite: (It is not a test) 10056 ms
org.apache.spark.ml.regression.AFTSurvivalRegressionSuite: (It is not a test) 10044 ms
org.apache.spark.ml.regression.DecisionTreeRegressorSuite: (It is not a test) 11321 ms
org.apache.spark.ml.regression.GBTRegressorSuite: (It is not a test) 10047 ms
org.apache.spark.ml.regression.IsotonicRegressionSuite: (It is not a test) 10062 ms
org.apache.spark.ml.regression.LinearRegressionSuite: (It is not a test) 10043 ms
org.apache.spark.ml.regression.RandomForestRegressorSuite: (It is not a test) 10087 ms
org.apache.spark.ml.source.libsvm.LibSVMRelationSuite: (It is not a test) 10049 ms
org.apache.spark.ml.tree.impl.RandomForestSuite: (It is not a test) 10048 ms
org.apache.spark.ml.tuning.CrossValidatorSuite: (It is not a test) 10047 ms
org.apache.spark.ml.tuning.TrainValidationSplitSuite: (It is not a test) 10051 ms
org.apache.spark.ml.util.DefaultReadWriteSuite: (It is not a test) 10050 ms
org.apache.spark.ml.util.StopwatchSuite: (It is not a test) 10048 ms
org.apache.spark.mllib.classification.LogisticRegressionClusterSuite: (It is not a test) 10083 ms
org.apache.spark.mllib.classification.LogisticRegressionSuite: (It is not a test) 10045 ms
org.apache.spark.mllib.classification.NaiveBayesClusterSuite: (It is not a test) 10045 ms
org.apache.spark.mllib.classification.NaiveBayesSuite: (It is not a test) 10043 ms
org.apache.spark.mllib.classification.SVMClusterSuite: (It is not a test) 10044 ms
org.apache.spark.mllib.classification.SVMSuite: (It is not a test) 10041 ms
org.apache.spark.mllib.classification.StreamingLogisticRegressionSuite: parameter accuracy 10056 ms
org.apache.spark.mllib.classification.StreamingLogisticRegressionSuite: parameter convergence 10056 ms
org.apache.spark.mllib.classification.StreamingLogisticRegressionSuite: predictions 10090 ms
org.apache.spark.mllib.classification.StreamingLogisticRegressionSuite: training and prediction 10064 ms
org.apache.spark.mllib.classification.StreamingLogisticRegressionSuite: handling empty RDDs in a stream 10060 ms
org.apache.spark.mllib.clustering.BisectingKMeansSuite: (It is not a test) 10063 ms
org.apache.spark.mllib.clustering.GaussianMixtureSuite: (It is not a test) 10078 ms
org.apache.spark.mllib.clustering.KMeansClusterSuite: (It is not a test) 10048 ms
org.apache.spark.mllib.clustering.KMeansSuite: (It is not a test) 10048 ms
org.apache.spark.mllib.clustering.LDASuite: (It is not a test) 10050 ms
org.apache.spark.mllib.clustering.PowerIterationClusteringSuite: (It is not a test) 10043 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 10073 ms
org.apache.spark.mllib.clustering.StreamingKMeansSuite: detecting dying clusters 10093 ms
org.apache.spark.mllib.evaluation.AreaUnderCurveSuite: (It is not a test) 10044 ms
org.apache.spark.mllib.evaluation.BinaryClassificationMetricsSuite: (It is not a test) 10050 ms
org.apache.spark.mllib.evaluation.MulticlassMetricsSuite: (It is not a test) 10085 ms
org.apache.spark.mllib.evaluation.MultilabelMetricsSuite: (It is not a test) 10043 ms
org.apache.spark.mllib.evaluation.RankingMetricsSuite: (It is not a test) 10050 ms
org.apache.spark.mllib.evaluation.RegressionMetricsSuite: (It is not a test) 11706 ms
org.apache.spark.mllib.feature.ChiSqSelectorSuite: (It is not a test) 10066 ms
org.apache.spark.mllib.feature.ElementwiseProductSuite: (It is not a test) 14605 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) 10329 ms
org.apache.spark.mllib.feature.NormalizerSuite: (It is not a test) 10047 ms
org.apache.spark.mllib.feature.PCASuite: (It is not a test) 10050 ms
org.apache.spark.mllib.feature.StandardScalerSuite: (It is not a test) 10036 ms
org.apache.spark.mllib.feature.Word2VecSuite: (It is not a test) 10057 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) 10048 ms
org.apache.spark.mllib.fpm.FPTreeSuite: (It is not a test) 10063 ms
org.apache.spark.mllib.fpm.PrefixSpanSuite: (It is not a test) 10058 ms
org.apache.spark.mllib.impl.PeriodicGraphCheckpointerSuite: (It is not a test) 10044 ms
org.apache.spark.mllib.impl.PeriodicRDDCheckpointerSuite: (It is not a test) 10071 ms
org.apache.spark.mllib.linalg.distributed.BlockMatrixSuite: (It is not a test) 10266 ms
org.apache.spark.mllib.linalg.distributed.CoordinateMatrixSuite: (It is not a test) 10047 ms
org.apache.spark.mllib.linalg.distributed.IndexedRowMatrixSuite: (It is not a test) 10040 ms
org.apache.spark.mllib.linalg.distributed.RowMatrixClusterSuite: (It is not a test) 10055 ms
org.apache.spark.mllib.linalg.distributed.RowMatrixSuite: (It is not a test) 10049 ms
org.apache.spark.mllib.optimization.GradientDescentClusterSuite: (It is not a test) 10040 ms
org.apache.spark.mllib.optimization.GradientDescentSuite: (It is not a test) 10041 ms
org.apache.spark.mllib.optimization.LBFGSClusterSuite: (It is not a test) 10058 ms
org.apache.spark.mllib.optimization.LBFGSSuite: (It is not a test) 10053 ms
org.apache.spark.mllib.random.RandomRDDsSuite: (It is not a test) 10047 ms
org.apache.spark.mllib.rdd.MLPairRDDFunctionsSuite: (It is not a test) 10058 ms
org.apache.spark.mllib.rdd.RDDFunctionsSuite: (It is not a test) 10063 ms
org.apache.spark.mllib.recommendation.ALSSuite: (It is not a test) 10056 ms
org.apache.spark.mllib.recommendation.MatrixFactorizationModelSuite: (It is not a test) 10081 ms
org.apache.spark.mllib.regression.IsotonicRegressionSuite: (It is not a test) 10038 ms
org.apache.spark.mllib.regression.LassoClusterSuite: (It is not a test) 10053 ms
org.apache.spark.mllib.regression.LassoSuite: (It is not a test) 10073 ms
org.apache.spark.mllib.regression.LinearRegressionClusterSuite: (It is not a test) 10056 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) 10100 ms
org.apache.spark.mllib.regression.RidgeRegressionSuite: (It is not a test) 10173 ms
org.apache.spark.mllib.regression.StreamingLinearRegressionSuite: parameter accuracy 10075 ms
org.apache.spark.mllib.regression.StreamingLinearRegressionSuite: parameter convergence 10079 ms
org.apache.spark.mllib.regression.StreamingLinearRegressionSuite: predictions 10072 ms
org.apache.spark.mllib.regression.StreamingLinearRegressionSuite: training and prediction 10080 ms
org.apache.spark.mllib.regression.StreamingLinearRegressionSuite: handling empty RDDs in a stream 10063 ms
org.apache.spark.mllib.stat.CorrelationSuite: (It is not a test) 10100 ms
org.apache.spark.mllib.stat.HypothesisTestSuite: (It is not a test) 10044 ms
org.apache.spark.mllib.stat.KernelDensitySuite: (It is not a test) 10060 ms
org.apache.spark.mllib.stat.StreamingTestSuite: accuracy for null hypothesis using welch t-test 10170 ms
org.apache.spark.mllib.stat.StreamingTestSuite: accuracy for alternative hypothesis using welch t-test 10048 ms
org.apache.spark.mllib.stat.StreamingTestSuite: accuracy for null hypothesis using student t-test 10042 ms
org.apache.spark.mllib.stat.StreamingTestSuite: accuracy for alternative hypothesis using student t-test 10041 ms
org.apache.spark.mllib.stat.StreamingTestSuite: batches within same test window are grouped 10042 ms
org.apache.spark.mllib.stat.StreamingTestSuite: entries in peace period are dropped 10062 ms
org.apache.spark.mllib.stat.StreamingTestSuite: null hypothesis when only data from one group is present 10071 ms
org.apache.spark.mllib.stat.distribution.MultivariateGaussianSuite: (It is not a test) 10043 ms
org.apache.spark.mllib.tree.DecisionTreeSuite: (It is not a test) 10067 ms
org.apache.spark.mllib.tree.GradientBoostedTreesSuite: (It is not a test) 10051 ms
org.apache.spark.mllib.tree.RandomForestSuite: (It is not a test) 10056 ms
org.apache.spark.mllib.tree.impl.BaggedPointSuite: (It is not a test) 10046 ms
org.apache.spark.mllib.util.MLUtilsSuite: (It is not a test) 10046 ms
org.apache.spark.repl.ReplSuite: propagation of local properties 11134 ms
org.apache.spark.repl.ReplSuite: simple foreach with accumulator 15882 ms
org.apache.spark.repl.ReplSuite: external vars 12688 ms
org.apache.spark.repl.ReplSuite: external classes 12059 ms
org.apache.spark.repl.ReplSuite: external functions 12462 ms
org.apache.spark.repl.ReplSuite: external functions that access vars 12705 ms
org.apache.spark.repl.ReplSuite: broadcast vars 11759 ms
org.apache.spark.repl.ReplSuite: interacting with files 12552 ms
org.apache.spark.repl.ReplSuite: local-cluster mode 12846 ms
org.apache.spark.repl.ReplSuite: SPARK-1199 two instances of same class don't type check 13526 ms
org.apache.spark.repl.ReplSuite: SPARK-2452 compound statements 11794 ms
org.apache.spark.repl.ReplSuite: _ 13268 ms
org.apache.spark.repl.ReplSuite: SPARK-8461 SQL with codegen 11461 ms
org.apache.spark.repl.ReplSuite: Datasets and encoders 11823 ms
org.apache.spark.repl.ReplSuite: SPARK-2632 importing a method from non serializable class and not using it 11515 ms
org.apache.spark.repl.ReplSuite: Datasets agg type-inference 11880 ms
org.apache.spark.repl.ReplSuite: collecting objects of class defined in repl 11412 ms
org.apache.spark.repl.ReplSuite: collecting objects of class defined in repl - shuffling 11574 ms
org.apache.spark.streaming.BasicOperationsSuite: map 10043 ms
org.apache.spark.streaming.BasicOperationsSuite: flatMap 10045 ms
org.apache.spark.streaming.BasicOperationsSuite: filter 10055 ms
org.apache.spark.streaming.BasicOperationsSuite: glom 10049 ms
org.apache.spark.streaming.BasicOperationsSuite: mapPartitions 10046 ms
org.apache.spark.streaming.BasicOperationsSuite: repartition (more partitions) 10095 ms
org.apache.spark.streaming.BasicOperationsSuite: repartition (fewer partitions) 10071 ms
org.apache.spark.streaming.BasicOperationsSuite: groupByKey 10055 ms
org.apache.spark.streaming.BasicOperationsSuite: reduceByKey 10048 ms
org.apache.spark.streaming.BasicOperationsSuite: reduce 10045 ms
org.apache.spark.streaming.BasicOperationsSuite: count 10051 ms
org.apache.spark.streaming.BasicOperationsSuite: countByValue 10053 ms
org.apache.spark.streaming.BasicOperationsSuite: mapValues 10076 ms
org.apache.spark.streaming.BasicOperationsSuite: flatMapValues 10051 ms
org.apache.spark.streaming.BasicOperationsSuite: union 10053 ms
org.apache.spark.streaming.BasicOperationsSuite: union with input stream return None 10056 ms
org.apache.spark.streaming.BasicOperationsSuite: transform 10056 ms
org.apache.spark.streaming.BasicOperationsSuite: transform with NULL 10055 ms
org.apache.spark.streaming.BasicOperationsSuite: transform with input stream return None 10052 ms
org.apache.spark.streaming.BasicOperationsSuite: transformWith 10054 ms
org.apache.spark.streaming.BasicOperationsSuite: transformWith with input stream return None 10054 ms
org.apache.spark.streaming.BasicOperationsSuite: cogroup 10056 ms
org.apache.spark.streaming.BasicOperationsSuite: join 10070 ms
org.apache.spark.streaming.BasicOperationsSuite: leftOuterJoin 10052 ms
org.apache.spark.streaming.BasicOperationsSuite: rightOuterJoin 10113 ms
org.apache.spark.streaming.BasicOperationsSuite: fullOuterJoin 10056 ms
org.apache.spark.streaming.BasicOperationsSuite: updateStateByKey 10057 ms
org.apache.spark.streaming.BasicOperationsSuite: updateStateByKey - simple with initial value RDD 10059 ms
org.apache.spark.streaming.BasicOperationsSuite: updateStateByKey - with initial value RDD 10055 ms
org.apache.spark.streaming.BasicOperationsSuite: updateStateByKey - object lifecycle 10055 ms
org.apache.spark.streaming.BasicOperationsSuite: slice 10058 ms
org.apache.spark.streaming.BasicOperationsSuite: slice - has not been initialized 10093 ms
org.apache.spark.streaming.BasicOperationsSuite: rdd cleanup - map and window 10057 ms
org.apache.spark.streaming.BasicOperationsSuite: rdd cleanup - updateStateByKey 10060 ms
org.apache.spark.streaming.BasicOperationsSuite: rdd cleanup - input blocks and persisted RDDs 10062 ms
org.apache.spark.streaming.CheckpointSuite: basic rdd checkpoints + dstream graph checkpoint recovery 10054 ms
org.apache.spark.streaming.CheckpointSuite: recovery of conf through checkpoints 10499 ms
org.apache.spark.streaming.CheckpointSuite: [host|port] from checkpoint 10042 ms
org.apache.spark.streaming.CheckpointSuite: recovery with map and reduceByKey operations 10039 ms
org.apache.spark.streaming.CheckpointSuite: recovery with invertible reduceByKeyAndWindow operation 10045 ms
org.apache.spark.streaming.CheckpointSuite: recovery with saveAsHadoopFiles operation 10625 ms
org.apache.spark.streaming.CheckpointSuite: recovery with saveAsNewAPIHadoopFiles operation 10051 ms
org.apache.spark.streaming.CheckpointSuite: recovery with saveAsHadoopFile inside transform operation 10043 ms
org.apache.spark.streaming.CheckpointSuite: recovery with updateStateByKey operation 10040 ms
org.apache.spark.streaming.CheckpointSuite: recovery maintains rate controller 10040 ms
org.apache.spark.streaming.CheckpointSuite: recovery with file input stream 10068 ms
org.apache.spark.streaming.CheckpointSuite: restore invoking times 10036 ms
org.apache.spark.streaming.DStreamClosureSuite: (It is not a test) 11671 ms
org.apache.spark.streaming.DStreamScopeSuite: (It is not a test) 10040 ms
org.apache.spark.streaming.FailureSuite: multiple failures with map 10253 ms
org.apache.spark.streaming.FailureSuite: multiple failures with updateStateByKey 10505 ms
org.apache.spark.streaming.InputStreamsSuite: socket input stream 10083 ms
org.apache.spark.streaming.InputStreamsSuite: socket input stream - no block in a batch 10067 ms
org.apache.spark.streaming.InputStreamsSuite: binary records stream 10075 ms
org.apache.spark.streaming.InputStreamsSuite: file input stream - newFilesOnly = true 10062 ms
org.apache.spark.streaming.InputStreamsSuite: file input stream - newFilesOnly = false 10058 ms
org.apache.spark.streaming.InputStreamsSuite: multi-thread receiver 10058 ms
org.apache.spark.streaming.InputStreamsSuite: queue input stream - oneAtATime = true 10065 ms
org.apache.spark.streaming.InputStreamsSuite: queue input stream - oneAtATime = false 10126 ms
org.apache.spark.streaming.InputStreamsSuite: test track the number of input stream 10095 ms
org.apache.spark.streaming.JavaAPISuite: testStreamingContextTransform 10064 ms
org.apache.spark.streaming.JavaAPISuite: testFlatMapValues 10082 ms
org.apache.spark.streaming.JavaAPISuite: testReduceByWindowWithInverse 10091 ms
org.apache.spark.streaming.JavaAPISuite: testMapPartitions 10111 ms
org.apache.spark.streaming.JavaAPISuite: testPairFilter 10071 ms
org.apache.spark.streaming.JavaAPISuite: testRepartitionFewerPartitions 10083 ms
org.apache.spark.streaming.JavaAPISuite: testCombineByKey 10068 ms
org.apache.spark.streaming.JavaAPISuite: testContextGetOrCreate 10081 ms
org.apache.spark.streaming.JavaAPISuite: testWindowWithSlideDuration 10076 ms
org.apache.spark.streaming.JavaAPISuite: testQueueStream 10073 ms
org.apache.spark.streaming.JavaAPISuite: testCountByValue 10067 ms
org.apache.spark.streaming.JavaAPISuite: testMap 10516 ms
org.apache.spark.streaming.JavaAPISuite: testPairToNormalRDDTransform 10068 ms
org.apache.spark.streaming.JavaAPISuite: testPairReduceByKey 10105 ms
org.apache.spark.streaming.JavaAPISuite: testCount 10078 ms
org.apache.spark.streaming.JavaAPISuite: testCheckpointMasterRecovery 10068 ms
org.apache.spark.streaming.JavaAPISuite: testPairMap 10065 ms
org.apache.spark.streaming.JavaAPISuite: testUnion 10068 ms
org.apache.spark.streaming.JavaAPISuite: testFlatMap 10135 ms
org.apache.spark.streaming.JavaAPISuite: testReduceByKeyAndWindowWithInverse 10069 ms
org.apache.spark.streaming.JavaAPISuite: testGlom 10071 ms
org.apache.spark.streaming.JavaAPISuite: testJoin 10061 ms
org.apache.spark.streaming.JavaAPISuite: testPairFlatMap 11003 ms
org.apache.spark.streaming.JavaAPISuite: testPairToPairFlatMapWithChangingTypes 10065 ms
org.apache.spark.streaming.JavaAPISuite: testPairMapPartitions 10073 ms
org.apache.spark.streaming.JavaAPISuite: testRepartitionMorePartitions 10135 ms
org.apache.spark.streaming.JavaAPISuite: testReduceByWindowWithoutInverse 10074 ms
org.apache.spark.streaming.JavaAPISuite: testLeftOuterJoin 10065 ms
org.apache.spark.streaming.JavaAPISuite: testVariousTransform 10066 ms
org.apache.spark.streaming.JavaAPISuite: testTransformWith 10072 ms
org.apache.spark.streaming.JavaAPISuite: testVariousTransformWith 10065 ms
org.apache.spark.streaming.JavaAPISuite: testTextFileStream 10080 ms
org.apache.spark.streaming.JavaAPISuite: testPairGroupByKey 10065 ms
org.apache.spark.streaming.JavaAPISuite: testCoGroup 10084 ms
org.apache.spark.streaming.JavaAPISuite: testInitialization 10083 ms
org.apache.spark.streaming.JavaAPISuite: testSocketString 10076 ms
org.apache.spark.streaming.JavaAPISuite: testGroupByKeyAndWindow 10067 ms
org.apache.spark.streaming.JavaAPISuite: testReduceByKeyAndWindow 10064 ms
org.apache.spark.streaming.JavaAPISuite: testForeachRDD 10077 ms
org.apache.spark.streaming.JavaAPISuite: testFileStream 10072 ms
org.apache.spark.streaming.JavaAPISuite: testPairTransform 10191 ms
org.apache.spark.streaming.JavaAPISuite: testFilter 10070 ms
org.apache.spark.streaming.JavaAPISuite: testPairMap2 10078 ms
org.apache.spark.streaming.JavaAPISuite: testMapValues 10079 ms
org.apache.spark.streaming.JavaAPISuite: testReduce 10070 ms
org.apache.spark.streaming.JavaAPISuite: testUpdateStateByKey 10089 ms
org.apache.spark.streaming.JavaAPISuite: testTransform 10092 ms
org.apache.spark.streaming.JavaAPISuite: testWindow 10117 ms
org.apache.spark.streaming.JavaAPISuite: testCountByValueAndWindow 10063 ms
org.apache.spark.streaming.JavaAPISuite: testRawSocketStream 10076 ms
org.apache.spark.streaming.JavaAPISuite: testSocketTextStream 10091 ms
org.apache.spark.streaming.JavaAPISuite: testUpdateStateByKeyWithInitial 10065 ms
org.apache.spark.streaming.JavaAPISuite: testContextState 10153 ms
org.apache.spark.streaming.JavaMapWithStateSuite: testBasicFunction 10070 ms
org.apache.spark.streaming.JavaReceiverAPISuite: testReceiver 10063 ms
org.apache.spark.streaming.MapWithStateSuite: (It is not a test) 10077 ms
org.apache.spark.streaming.ReceiverInputDStreamSuite: Without WAL enabled: createBlockRDD creates empty BlockRDD when no block info 10068 ms
org.apache.spark.streaming.ReceiverInputDStreamSuite: Without WAL enabled: createBlockRDD creates correct BlockRDD with block info 10056 ms
org.apache.spark.streaming.ReceiverInputDStreamSuite: Without WAL enabled: createBlockRDD filters non-existent blocks before creating BlockRDD 10055 ms
org.apache.spark.streaming.ReceiverInputDStreamSuite: With WAL enabled: createBlockRDD creates empty WALBackedBlockRDD when no block info 10051 ms
org.apache.spark.streaming.ReceiverInputDStreamSuite: With WAL enabled: createBlockRDD creates correct WALBackedBlockRDD with all block info having WAL info 10080 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 10063 ms
org.apache.spark.streaming.StreamingContextSuite: from no conf constructor 10031 ms
org.apache.spark.streaming.StreamingContextSuite: from no conf + spark home 10052 ms
org.apache.spark.streaming.StreamingContextSuite: from no conf + spark home + env 10035 ms
org.apache.spark.streaming.StreamingContextSuite: from conf with settings 10049 ms
org.apache.spark.streaming.StreamingContextSuite: from existing SparkContext 10041 ms
org.apache.spark.streaming.StreamingContextSuite: from existing SparkContext with settings 10036 ms
org.apache.spark.streaming.StreamingContextSuite: from checkpoint 10034 ms
org.apache.spark.streaming.StreamingContextSuite: checkPoint from conf 10075 ms
org.apache.spark.streaming.StreamingContextSuite: start and stop state check 10050 ms
org.apache.spark.streaming.StreamingContextSuite: start with non-seriazable DStream checkpoints 10040 ms
org.apache.spark.streaming.StreamingContextSuite: start failure should stop internal components 10035 ms
org.apache.spark.streaming.StreamingContextSuite: start should set job group and description of streaming jobs correctly 10038 ms
org.apache.spark.streaming.StreamingContextSuite: start multiple times 10047 ms
org.apache.spark.streaming.StreamingContextSuite: stop multiple times 10047 ms
org.apache.spark.streaming.StreamingContextSuite: stop before start 10054 ms
org.apache.spark.streaming.StreamingContextSuite: start after stop 10044 ms
org.apache.spark.streaming.StreamingContextSuite: stop only streaming context 10037 ms
org.apache.spark.streaming.StreamingContextSuite: stop(stopSparkContext=true) after stop(stopSparkContext=false) 10056 ms
org.apache.spark.streaming.StreamingContextSuite: stop gracefully 10036 ms
org.apache.spark.streaming.StreamingContextSuite: stop gracefully even if a receiver misses StopReceiver 10036 ms
org.apache.spark.streaming.StreamingContextSuite: stop slow receiver gracefully 10035 ms
org.apache.spark.streaming.StreamingContextSuite: registering and de-registering of streamingSource 10033 ms
org.apache.spark.streaming.StreamingContextSuite: awaitTermination 10106 ms
org.apache.spark.streaming.StreamingContextSuite: awaitTermination after stop 10133 ms
org.apache.spark.streaming.StreamingContextSuite: awaitTermination with error in task 10045 ms
org.apache.spark.streaming.StreamingContextSuite: awaitTermination with error in job generation 10102 ms
org.apache.spark.streaming.StreamingContextSuite: awaitTerminationOrTimeout 10044 ms
org.apache.spark.streaming.StreamingContextSuite: getOrCreate 10040 ms
org.apache.spark.streaming.StreamingContextSuite: getActive and getActiveOrCreate 10038 ms
org.apache.spark.streaming.StreamingContextSuite: getActiveOrCreate with checkpoint 10095 ms
org.apache.spark.streaming.StreamingContextSuite: multiple streaming contexts 10039 ms
org.apache.spark.streaming.StreamingContextSuite: DStream and generated RDD creation sites 10045 ms
org.apache.spark.streaming.StreamingContextSuite: throw exception on using active or stopped context 10046 ms
org.apache.spark.streaming.StreamingContextSuite: queueStream doesn't support checkpointing 10041 ms
org.apache.spark.streaming.StreamingContextSuite: Creating an InputDStream but not using it should not crash 10037 ms
org.apache.spark.streaming.StreamingListenerSuite: batch info reporting 10041 ms
org.apache.spark.streaming.StreamingListenerSuite: receiver info reporting 10043 ms
org.apache.spark.streaming.StreamingListenerSuite: output operation reporting 10048 ms
org.apache.spark.streaming.StreamingListenerSuite: stop in listener 10043 ms
org.apache.spark.streaming.StreamingListenerSuite: onBatchCompleted with successful batch 10049 ms
org.apache.spark.streaming.StreamingListenerSuite: onBatchCompleted with failed batch and one failed job 10053 ms
org.apache.spark.streaming.StreamingListenerSuite: onBatchCompleted with failed batch and multiple failed jobs 10049 ms
org.apache.spark.streaming.UISeleniumSuite: attaching and detaching a Streaming tab 10058 ms
org.apache.spark.streaming.WindowOperationsSuite: window - basic window 10034 ms
org.apache.spark.streaming.WindowOperationsSuite: window - tumbling window 10041 ms
org.apache.spark.streaming.WindowOperationsSuite: window - larger window 10037 ms
org.apache.spark.streaming.WindowOperationsSuite: window - non-overlapping window 10038 ms
org.apache.spark.streaming.WindowOperationsSuite: window - persistence level 10034 ms
org.apache.spark.streaming.WindowOperationsSuite: reduceByKeyAndWindow - basic reduction 10032 ms
org.apache.spark.streaming.WindowOperationsSuite: reduceByKeyAndWindow - key already in window and new value added into window 10060 ms
org.apache.spark.streaming.WindowOperationsSuite: reduceByKeyAndWindow - new key added into window 10041 ms
org.apache.spark.streaming.WindowOperationsSuite: reduceByKeyAndWindow - key removed from window 10043 ms
org.apache.spark.streaming.WindowOperationsSuite: reduceByKeyAndWindow - larger slide time 10043 ms
org.apache.spark.streaming.WindowOperationsSuite: reduceByKeyAndWindow - big test 10049 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 10035 ms
org.apache.spark.streaming.WindowOperationsSuite: reduceByKeyAndWindow with inverse function - new key added into window 10035 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 10033 ms
org.apache.spark.streaming.WindowOperationsSuite: reduceByKeyAndWindow with inverse function - big test 10044 ms
org.apache.spark.streaming.WindowOperationsSuite: reduceByKeyAndWindow with inverse and filter functions - big test 10038 ms
org.apache.spark.streaming.WindowOperationsSuite: groupByKeyAndWindow 10039 ms
org.apache.spark.streaming.WindowOperationsSuite: countByWindow 10038 ms
org.apache.spark.streaming.WindowOperationsSuite: countByValueAndWindow 10037 ms
org.apache.spark.streaming.rdd.MapWithStateRDDSuite: (It is not a test) 10061 ms
org.apache.spark.streaming.rdd.WriteAheadLogBackedBlockRDDSuite: (It is not a test) 10071 ms
org.apache.spark.streaming.scheduler.InputInfoTrackerSuite: (It is not a test) 10094 ms
org.apache.spark.streaming.scheduler.RateControllerSuite: RateController - rate controller publishes updates after batches complete 10044 ms
org.apache.spark.streaming.scheduler.RateControllerSuite: ReceiverRateController - published rates reach receivers 10080 ms
org.apache.spark.streaming.scheduler.ReceiverTrackerSuite: send rate update to receivers 10059 ms
org.apache.spark.streaming.scheduler.ReceiverTrackerSuite: should restart receiver after stopping it 10059 ms
org.apache.spark.streaming.scheduler.ReceiverTrackerSuite: SPARK-11063: TaskSetManager should use Receiver RDD's preferredLocations 11087 ms
org.apache.spark.streaming.ui.StreamingJobProgressListenerSuite: onBatchSubmitted, onBatchStarted, onBatchCompleted, onReceiverStarted, onReceiverError, onReceiverStopped 10720 ms
org.apache.spark.streaming.ui.StreamingJobProgressListenerSuite: Remove the old completed batches when exceeding the limit 10050 ms
org.apache.spark.streaming.ui.StreamingJobProgressListenerSuite: out-of-order onJobStart and onBatchXXX 10035 ms
org.apache.spark.streaming.ui.StreamingJobProgressListenerSuite: detect memory leak 10038 ms
org.apache.spark.deploy.yarn.YarnClusterSuite: run Spark in yarn-client mode 120071 ms
org.apache.spark.deploy.yarn.YarnClusterSuite: run Spark in yarn-cluster mode 52040 ms
org.apache.spark.deploy.yarn.YarnClusterSuite: run Python application in yarn-client mode 120073 ms
org.apache.spark.deploy.yarn.YarnClusterSuite: run Python application in yarn-cluster mode 53040 ms
org.apache.spark.deploy.yarn.YarnClusterSuite: user class path first in client mode 120070 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 30110 ms
org.apache.spark.deploy.yarn.YarnShuffleIntegrationSuite: external shuffle service 53152 ms
org.apache.spark.scheduler.cluster.ExtensionServiceIntegrationSuite: (It is not a test) 10467 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.