Use top to log memory usage #309
EnricoMibuild_main.yml
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17 errors and 31 warnings
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Run / Build modules: pyspark-sql, pyspark-resource, pyspark-testing
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Run / Build modules: core, unsafe, kvstore, avro, utils, network-common, network-shuffle, repl, launcher, examples, sketch, graphx
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Task io.fabric8.kubernetes.client.utils.internal.SerialExecutor$$Lambda$679/0x00007f67d05c1230@4bb605bd rejected from java.util.concurrent.ThreadPoolExecutor@676c0036[Shutting down, pool size = 2, active threads = 2, queued tasks = 0, completed tasks = 332]
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Run / Run Spark on Kubernetes Integration test
Task io.fabric8.kubernetes.client.utils.internal.SerialExecutor$$Lambda$679/0x00007f67d05c1230@c5acf35 rejected from java.util.concurrent.ThreadPoolExecutor@676c0036[Shutting down, pool size = 1, active threads = 1, queued tasks = 0, completed tasks = 333]
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HashSet() did not contain "decomtest-c15f738b65f3f3ef-exec-1".
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HashSet() did not contain "decomtest-cacd108b65f53fef-exec-1".
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HashSet() did not contain "decomtest-51b6e88b65f9b0d5-exec-1".
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Run / Run Spark on Kubernetes Integration test
Status(apiVersion=v1, code=404, details=StatusDetails(causes=[], group=null, kind=pods, name=spark-test-app-a52384e62c00473c8082228eb50a9ab0-driver, retryAfterSeconds=null, uid=null, additionalProperties={}), kind=Status, message=pods "spark-test-app-a52384e62c00473c8082228eb50a9ab0-driver" not found, metadata=ListMeta(_continue=null, remainingItemCount=null, resourceVersion=null, selfLink=null, additionalProperties={}), reason=NotFound, status=Failure, additionalProperties={})..
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Run / Build modules: pyspark-mllib, pyspark-ml, pyspark-ml-connect
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DAGSchedulerSuite.SPARK-40082: recomputation of shuffle map stage with no pending partitions should finalize the stage. pushBasedShuffleEnabled = true:
DAGSchedulerSuite#L4825
org.scalatest.exceptions.TestFailedException: List() did not equal List(0)
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python/pyspark/sql/tests/pandas/test_pandas_map.py.test_self_join:
python/pyspark/sql/tests/pandas/test_pandas_map.py#L1
[Errno 111] Connection refused
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Run / Build modules: pyspark-mllib, pyspark-ml, pyspark-ml-connect
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