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Fix.

Fix. #528

Triggered via push July 25, 2023 03:58
@ueshinueshin
pushed 2e86161
issues/SPARK-44533/analyze
Status Failure
Total duration 3h 29m 10s
Artifacts 17

build_main.yml

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20 errors and 2 warnings
Run / Run Spark on Kubernetes Integration test
Set() did not contain "decomtest-35faf8898b57dcb2-exec-1".
Run / Run Spark on Kubernetes Integration test
Set() did not contain "decomtest-c593ca898b591f3b-exec-1".
Run / Run Spark on Kubernetes Integration test
sleep interrupted
Run / Run Spark on Kubernetes Integration test
Task io.fabric8.kubernetes.client.utils.internal.SerialExecutor$$Lambda$573/143112055@35c8a4d1 rejected from java.util.concurrent.ThreadPoolExecutor@220e6bff[Shutting down, pool size = 4, active threads = 2, queued tasks = 0, completed tasks = 307]
Run / Run Spark on Kubernetes Integration test
sleep interrupted
Run / Run Spark on Kubernetes Integration test
Task io.fabric8.kubernetes.client.utils.internal.SerialExecutor$$Lambda$573/143112055@4f972337 rejected from java.util.concurrent.ThreadPoolExecutor@220e6bff[Shutting down, pool size = 1, active threads = 1, queued tasks = 0, completed tasks = 308]
Run / Run Spark on Kubernetes Integration test
Set() did not contain "decomtest-9d95fc898b72dfb3-exec-1".
Run / Run Spark on Kubernetes Integration test
Set() did not contain "decomtest-cadc93898b741dbf-exec-1".
Run / Run Spark on Kubernetes Integration test
Set() did not contain "decomtest-d9ef72898b787274-exec-1".
Run / Run Spark on Kubernetes Integration test
Status(apiVersion=v1, code=404, details=StatusDetails(causes=[], group=null, kind=pods, name=spark-test-app-6232d359d49741eb92d94e4b1b7d9af8-driver, retryAfterSeconds=null, uid=null, additionalProperties={}), kind=Status, message=pods "spark-test-app-6232d359d49741eb92d94e4b1b7d9af8-driver" not found, metadata=ListMeta(_continue=null, remainingItemCount=null, resourceVersion=null, selfLink=null, additionalProperties={}), reason=NotFound, status=Failure, additionalProperties={})..
Run / Build modules: core, unsafe, kvstore, avro, network-common, network-shuffle, repl, launcher, examples, sketch, graphx
java.lang.InterruptedException
Run / Build modules: streaming, sql-kafka-0-10, streaming-kafka-0-10, mllib-local, mllib, yarn, mesos, kubernetes, hadoop-cloud, spark-ganglia-lgpl, connect, protobuf
java.lang.InterruptedException
Run / Build modules: streaming, sql-kafka-0-10, streaming-kafka-0-10, mllib-local, mllib, yarn, mesos, kubernetes, hadoop-cloud, spark-ganglia-lgpl, connect, protobuf
java.lang.InterruptedException
Run / Build modules: streaming, sql-kafka-0-10, streaming-kafka-0-10, mllib-local, mllib, yarn, mesos, kubernetes, hadoop-cloud, spark-ganglia-lgpl, connect, protobuf
sleep interrupted
Run / Build modules: streaming, sql-kafka-0-10, streaming-kafka-0-10, mllib-local, mllib, yarn, mesos, kubernetes, hadoop-cloud, spark-ganglia-lgpl, connect, protobuf
sleep interrupted
Run / Build modules: pyspark-core, pyspark-streaming, pyspark-ml
Process completed with exit code 19.
Run / Build modules: pyspark-pandas-connect
System.IO.IOException: No space left on device : '/home/runner/runners/2.306.0/_diag/Worker_20230725-045025-utc.log' at System.IO.RandomAccess.WriteAtOffset(SafeFileHandle handle, ReadOnlySpan`1 buffer, Int64 fileOffset) at System.IO.Strategies.BufferedFileStreamStrategy.FlushWrite() at System.IO.StreamWriter.Flush(Boolean flushStream, Boolean flushEncoder) at System.Diagnostics.TextWriterTraceListener.Flush() at GitHub.Runner.Common.HostTraceListener.WriteHeader(String source, TraceEventType eventType, Int32 id) at GitHub.Runner.Common.HostTraceListener.TraceEvent(TraceEventCache eventCache, String source, TraceEventType eventType, Int32 id, String message) at System.Diagnostics.TraceSource.TraceEvent(TraceEventType eventType, Int32 id, String message) at GitHub.Runner.Worker.Worker.RunAsync(String pipeIn, String pipeOut) at GitHub.Runner.Worker.Program.MainAsync(IHostContext context, String[] args) System.IO.IOException: No space left on device : '/home/runner/runners/2.306.0/_diag/Worker_20230725-045025-utc.log' at System.IO.RandomAccess.WriteAtOffset(SafeFileHandle handle, ReadOnlySpan`1 buffer, Int64 fileOffset) at System.IO.Strategies.BufferedFileStreamStrategy.FlushWrite() at System.IO.StreamWriter.Flush(Boolean flushStream, Boolean flushEncoder) at System.Diagnostics.TextWriterTraceListener.Flush() at GitHub.Runner.Common.HostTraceListener.WriteHeader(String source, TraceEventType eventType, Int32 id) at GitHub.Runner.Common.HostTraceListener.TraceEvent(TraceEventCache eventCache, String source, TraceEventType eventType, Int32 id, String message) at System.Diagnostics.TraceSource.TraceEvent(TraceEventType eventType, Int32 id, String message) at GitHub.Runner.Common.Tracing.Error(Exception exception) at GitHub.Runner.Worker.Program.MainAsync(IHostContext context, String[] args) Unhandled exception. System.IO.IOException: No space left on device : '/home/runner/runners/2.306.0/_diag/Worker_20230725-045025-utc.log' at System.IO.RandomAccess.WriteAtOffset(SafeFileHandle handle, ReadOnlySpan`1 buffer, Int64 fileOffset) at System.IO.Strategies.BufferedFileStreamStrategy.FlushWrite() at System.IO.StreamWriter.Flush(Boolean flushStream, Boolean flushEncoder) at System.Diagnostics.TextWriterTraceListener.Flush() at System.Diagnostics.TraceSource.Flush() at GitHub.Runner.Common.TraceManager.Dispose(Boolean disposing) at GitHub.Runner.Common.TraceManager.Dispose() at GitHub.Runner.Common.HostContext.Dispose(Boolean disposing) at GitHub.Runner.Common.HostContext.Dispose() at GitHub.Runner.Worker.Program.Main(String[] args)
Run / Build modules: pyspark-pandas-slow-connect
System.IO.IOException: No space left on device : '/home/runner/runners/2.306.0/_diag/Worker_20230725-050316-utc.log' at System.IO.RandomAccess.WriteAtOffset(SafeFileHandle handle, ReadOnlySpan`1 buffer, Int64 fileOffset) at System.IO.Strategies.BufferedFileStreamStrategy.FlushWrite() at System.IO.StreamWriter.Flush(Boolean flushStream, Boolean flushEncoder) at System.Diagnostics.TextWriterTraceListener.Flush() at GitHub.Runner.Common.HostTraceListener.WriteHeader(String source, TraceEventType eventType, Int32 id) at GitHub.Runner.Common.HostTraceListener.TraceEvent(TraceEventCache eventCache, String source, TraceEventType eventType, Int32 id, String message) at System.Diagnostics.TraceSource.TraceEvent(TraceEventType eventType, Int32 id, String message) at GitHub.Runner.Worker.Worker.RunAsync(String pipeIn, String pipeOut) at GitHub.Runner.Worker.Program.MainAsync(IHostContext context, String[] args) System.IO.IOException: No space left on device : '/home/runner/runners/2.306.0/_diag/Worker_20230725-050316-utc.log' at System.IO.RandomAccess.WriteAtOffset(SafeFileHandle handle, ReadOnlySpan`1 buffer, Int64 fileOffset) at System.IO.Strategies.BufferedFileStreamStrategy.FlushWrite() at System.IO.StreamWriter.Flush(Boolean flushStream, Boolean flushEncoder) at System.Diagnostics.TextWriterTraceListener.Flush() at GitHub.Runner.Common.HostTraceListener.WriteHeader(String source, TraceEventType eventType, Int32 id) at GitHub.Runner.Common.HostTraceListener.TraceEvent(TraceEventCache eventCache, String source, TraceEventType eventType, Int32 id, String message) at System.Diagnostics.TraceSource.TraceEvent(TraceEventType eventType, Int32 id, String message) at GitHub.Runner.Common.Tracing.Error(Exception exception) at GitHub.Runner.Worker.Program.MainAsync(IHostContext context, String[] args) Unhandled exception. System.IO.IOException: No space left on device : '/home/runner/runners/2.306.0/_diag/Worker_20230725-050316-utc.log' at System.IO.RandomAccess.WriteAtOffset(SafeFileHandle handle, ReadOnlySpan`1 buffer, Int64 fileOffset) at System.IO.Strategies.BufferedFileStreamStrategy.FlushWrite() at System.IO.StreamWriter.Flush(Boolean flushStream, Boolean flushEncoder) at System.Diagnostics.TextWriterTraceListener.Flush() at System.Diagnostics.TraceSource.Flush() at GitHub.Runner.Common.TraceManager.Dispose(Boolean disposing) at GitHub.Runner.Common.TraceManager.Dispose() at GitHub.Runner.Common.HostContext.Dispose(Boolean disposing) at GitHub.Runner.Common.HostContext.Dispose() at GitHub.Runner.Worker.Program.Main(String[] args)
Run / Build modules: pyspark-sql, pyspark-mllib, pyspark-resource, pyspark-testing
System.IO.IOException: No space left on device : '/home/runner/runners/2.306.0/_diag/Worker_20230725-050523-utc.log' at System.IO.RandomAccess.WriteAtOffset(SafeFileHandle handle, ReadOnlySpan`1 buffer, Int64 fileOffset) at System.IO.Strategies.BufferedFileStreamStrategy.FlushWrite() at System.IO.StreamWriter.Flush(Boolean flushStream, Boolean flushEncoder) at System.Diagnostics.TextWriterTraceListener.Flush() at GitHub.Runner.Common.HostTraceListener.WriteHeader(String source, TraceEventType eventType, Int32 id) at GitHub.Runner.Common.HostTraceListener.TraceEvent(TraceEventCache eventCache, String source, TraceEventType eventType, Int32 id, String message) at System.Diagnostics.TraceSource.TraceEvent(TraceEventType eventType, Int32 id, String message) at GitHub.Runner.Worker.Worker.RunAsync(String pipeIn, String pipeOut) at GitHub.Runner.Worker.Program.MainAsync(IHostContext context, String[] args) System.IO.IOException: No space left on device : '/home/runner/runners/2.306.0/_diag/Worker_20230725-050523-utc.log' at System.IO.RandomAccess.WriteAtOffset(SafeFileHandle handle, ReadOnlySpan`1 buffer, Int64 fileOffset) at System.IO.Strategies.BufferedFileStreamStrategy.FlushWrite() at System.IO.StreamWriter.Flush(Boolean flushStream, Boolean flushEncoder) at System.Diagnostics.TextWriterTraceListener.Flush() at GitHub.Runner.Common.HostTraceListener.WriteHeader(String source, TraceEventType eventType, Int32 id) at GitHub.Runner.Common.HostTraceListener.TraceEvent(TraceEventCache eventCache, String source, TraceEventType eventType, Int32 id, String message) at System.Diagnostics.TraceSource.TraceEvent(TraceEventType eventType, Int32 id, String message) at GitHub.Runner.Common.Tracing.Error(Exception exception) at GitHub.Runner.Worker.Program.MainAsync(IHostContext context, String[] args) Unhandled exception. System.IO.IOException: No space left on device : '/home/runner/runners/2.306.0/_diag/Worker_20230725-050523-utc.log' at System.IO.RandomAccess.WriteAtOffset(SafeFileHandle handle, ReadOnlySpan`1 buffer, Int64 fileOffset) at System.IO.Strategies.BufferedFileStreamStrategy.FlushWrite() at System.IO.StreamWriter.Flush(Boolean flushStream, Boolean flushEncoder) at System.Diagnostics.TextWriterTraceListener.Flush() at System.Diagnostics.TraceSource.Flush() at GitHub.Runner.Common.TraceManager.Dispose(Boolean disposing) at GitHub.Runner.Common.TraceManager.Dispose() at GitHub.Runner.Common.HostContext.Dispose(Boolean disposing) at GitHub.Runner.Common.HostContext.Dispose() at GitHub.Runner.Worker.Program.Main(String[] args)
python/pyspark/tests/test_worker.py.test_python_segfault: python/pyspark/tests/test_worker.py#L1
Regex didn't match: 'Segmentation fault' not found in 'An error occurred while calling z:org.apache.spark.api.python.PythonRDD.collectAndServe.\n: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in stage 0.0 (TID 0) (localhost executor driver): org.apache.spark.SparkException: Python worker exited unexpectedly (crashed)\n\tat org.apache.spark.api.python.BasePythonRunner$ReaderIterator$$anonfun$1.applyOrElse(PythonRunner.scala:570)\n\tat org.apache.spark.api.python.BasePythonRunner$ReaderIterator$$anonfun$1.applyOrElse(PythonRunner.scala:552)\n\tat scala.runtime.AbstractPartialFunction.apply(AbstractPartialFunction.scala:38)\n\tat org.apache.spark.api.python.PythonRunner$$anon$3.read(PythonRunner.scala:749)\n\tat org.apache.spark.api.python.PythonRunner$$anon$3.read(PythonRunner.scala:726)\n\tat org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:487)\n\tat org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)\n\tat scala.collection.Iterator.foreach(Iterator.scala:943)\n\tat scala.collection.Iterator.foreach$(Iterator.scala:943)\n\tat org.apache.spark.InterruptibleIterator.foreach(InterruptibleIterator.scala:28)\n\tat scala.collection.generic.Growable.$plus$plus$eq(Growable.scala:62)\n\tat scala.collection.generic.Growable.$plus$plus$eq$(Growable.scala:53)\n\tat scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:105)\n\tat scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:49)\n\tat scala.collection.TraversableOnce.to(TraversableOnce.scala:366)\n\tat scala.collection.TraversableOnce.to$(TraversableOnce.scala:364)\n\tat org.apache.spark.InterruptibleIterator.to(InterruptibleIterator.scala:28)\n\tat scala.collection.TraversableOnce.toBuffer(TraversableOnce.scala:358)\n\tat scala.collection.TraversableOnce.toBuffer$(TraversableOnce.scala:358)\n\tat org.apache.spark.InterruptibleIterator.toBuffer(InterruptibleIterator.scala:28)\n\tat scala.collection.TraversableOnce.toArray(TraversableOnce.scala:345)\n\tat scala.collection.TraversableOnce.toArray$(TraversableOnce.scala:339)\n\tat org.apache.spark.InterruptibleIterator.toArray(InterruptibleIterator.scala:28)\n\tat org.apache.spark.rdd.RDD.$anonfun$collect$2(RDD.scala:1046)\n\tat org.apache.spark.SparkContext.$anonfun$runJob$5(SparkContext.scala:2438)\n\tat org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:93)\n\tat org.apache.spark.TaskContext.runTaskWithListeners(TaskContext.scala:161)\n\tat org.apache.spark.scheduler.Task.run(Task.scala:141)\n\tat org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$4(Executor.scala:592)\n\tat org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1479)\n\tat org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:595)\n\tat java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)\n\tat java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)\n\tat java.lang.Thread.run(Thread.java:750)\nCaused by: java.io.EOFException\n\tat java.io.DataInputStream.readInt(DataInputStream.java:392)\n\tat org.apache.spark.api.python.PythonRunner$$anon$3.read(PythonRunner.scala:734)\n\t... 30 more\n\nDriver stacktrace:\n\tat org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2844)\n\tat org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2780)\n\tat org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2779)\n\tat scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)\n\tat scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)\n\tat scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)\n\tat org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2779)\n\tat org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:1241)\n\tat org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:1241)\n\tat scala.Option.foreach(Option.scala:407)\n\tat org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:1241)\n\tat org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:3048)\n\tat org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2982)\n\tat org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2971)\n\tat org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)\n\tat org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:983)\n\tat org.apache.spark.SparkContext.runJob(SparkContext.scala:2398)\n\tat org.apache.spark.SparkContext.runJob(SparkContext.scala:2419)\n\tat org.apache.spark.SparkContext.runJob(SparkContext.scala:2438)\n\tat org.apache.spark.SparkContext.runJob(SparkContext.scala:2463)\n\tat org.apache.spark.rdd.RDD.$anonfun$collect$1(RDD.scala:1046)\n\tat org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)\n\tat org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)\n\tat org.apache.spark.rdd.RDD.withScope(RDD.scala:407)\n\tat org.apache.spark.rdd.RDD.collect(RDD.scala:1045)\n\tat org.apache.spark.api.python.PythonRDD$.collectAndServe(PythonRDD.scala:195)\n\tat org.apache.spark.api.python.PythonRDD.collectAndServe(PythonRDD.scala)\n\tat sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)\n\tat sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)\n\tat sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)\n\tat java.lang.reflect.Method.invoke(Method.java:498)\n\tat py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)\n\tat py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:374)\n\tat py4j.Gateway.invoke(Gateway.java:282)\n\tat py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)\n\tat py4j.commands.CallCommand.execute(CallCommand.java:79)\n\tat py4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)\n\tat py4j.ClientServerConnection.run(ClientServerConnection.java:106)\n\tat java.lang.Thread.run(Thread.java:750)\nCaused by: org.apache.spark.SparkException: Python worker exited unexpectedly (crashed)\n\tat org.apache.spark.api.python.BasePythonRunner$ReaderIterator$$anonfun$1.applyOrElse(PythonRunner.scala:570)\n\tat org.apache.spark.api.python.BasePythonRunner$ReaderIterator$$anonfun$1.applyOrElse(PythonRunner.scala:552)\n\tat scala.runtime.AbstractPartialFunction.apply(AbstractPartialFunction.scala:38)\n\tat org.apache.spark.api.python.PythonRunner$$anon$3.read(PythonRunner.scala:749)\n\tat org.apache.spark.api.python.PythonRunner$$anon$3.read(PythonRunner.scala:726)\n\tat org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:487)\n\tat org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)\n\tat scala.collection.Iterator.foreach(Iterator.scala:943)\n\tat scala.collection.Iterator.foreach$(Iterator.scala:943)\n\tat org.apache.spark.InterruptibleIterator.foreach(InterruptibleIterator.scala:28)\n\tat scala.collection.generic.Growable.$plus$plus$eq(Growable.scala:62)\n\tat scala.collection.generic.Growable.$plus$plus$eq$(Growable.scala:53)\n\tat scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:105)\n\tat scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:49)\n\tat scala.collection.TraversableOnce.to(TraversableOnce.scala:366)\n\tat scala.collection.TraversableOnce.to$(TraversableOnce.scala:364)\n\tat org.apache.spark.InterruptibleIterator.to(InterruptibleIterator.scala:28)\n\tat scala.collection.TraversableOnce.toBuffer(TraversableOnce.scala:358)\n\tat scala.collection.TraversableOnce.toBuffer$(TraversableOnce.scala:358)\n\tat org.apache.spark.InterruptibleIterator.toBuffer(InterruptibleIterator.scala:28)\n\tat scala.collection.TraversableOnce.toArray(TraversableOnce.scala:345)\n\tat scala.collection.TraversableOnce.toArray$(TraversableOnce.scala:339)\n\tat org.apache.spark.InterruptibleIterator.toArray(InterruptibleIterator.scala:28)\n\tat org.apache.spark.rdd.RDD.$anonfun$collect$2(RDD.scala:1046)\n\tat org.apache.spark.SparkContext.$anonfun$runJob$5(SparkContext.scala:2438)\n\tat org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:93)\n\tat org.apache.spark.TaskContext.runTaskWithListeners(TaskContext.scala:161)\n\tat org.apache.spark.scheduler.Task.run(Task.scala:141)\n\tat org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$4(Executor.scala:592)\n\tat org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1479)\n\tat org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:595)\n\tat java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)\n\tat java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)\n\t... 1 more\nCaused by: java.io.EOFException\n\tat java.io.DataInputStream.readInt(DataInputStream.java:392)\n\tat org.apache.spark.api.python.PythonRunner$$anon$3.read(PythonRunner.scala:734)\n\t... 30 more\n'
Run / Build modules: pyspark-pandas-slow-connect
You are running out of disk space. The runner will stop working when the machine runs out of disk space. Free space left: 22 MB
Run / Build modules: pyspark-sql, pyspark-mllib, pyspark-resource, pyspark-testing
You are running out of disk space. The runner will stop working when the machine runs out of disk space. Free space left: 96 MB

Artifacts

Produced during runtime
Name Size
site Expired
56.6 MB
test-results-catalyst, hive-thriftserver--8-hadoop3-hive2.3 Expired
3.02 MB
test-results-core, unsafe, kvstore, avro, network-common, network-shuffle, repl, launcher, examples, sketch, graphx--8-hadoop3-hive2.3 Expired
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test-results-docker-integration--8-hadoop3-hive2.3 Expired
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test-results-hive-- other tests-8-hadoop3-hive2.3 Expired
1.1 MB
test-results-hive-- slow tests-8-hadoop3-hive2.3 Expired
944 KB
test-results-pyspark-connect, pyspark-errors--8-hadoop3-hive2.3 Expired
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test-results-pyspark-core, pyspark-streaming, pyspark-ml--8-hadoop3-hive2.3 Expired
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test-results-pyspark-pandas--8-hadoop3-hive2.3 Expired
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test-results-pyspark-pandas-slow--8-hadoop3-hive2.3 Expired
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test-results-sparkr--8-hadoop3-hive2.3 Expired
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test-results-sql-- extended tests-8-hadoop3-hive2.3 Expired
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test-results-sql-- other tests-8-hadoop3-hive2.3 Expired
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test-results-sql-- slow tests-8-hadoop3-hive2.3 Expired
3.14 MB
test-results-streaming, sql-kafka-0-10, streaming-kafka-0-10, mllib-local, mllib, yarn, mesos, kubernetes, hadoop-cloud, spark-ganglia-lgpl, connect, protobuf--8-hadoop3-hive2.3 Expired
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test-results-tpcds--8-hadoop3-hive2.3 Expired
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unit-tests-log-pyspark-core, pyspark-streaming, pyspark-ml--8-hadoop3-hive2.3 Expired
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