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- SPARK-6015
Backport Python doc source code link fix to 1.2 - SPARK-6018
NoSuchMethodError in Spark app is swallowed by YARN AM - SPARK-5944
Python release docs say SNAPSHOT + Author is missing - SPARK-5889
remove pid file in spark-daemon.sh after killing the process. - SPARK-5613
YarnClientSchedulerBackend fails to get application report when yarn restarts - SPARK-5473
Expose SSH failures after status checks pass - SPARK-6133
SparkContext#stop is not idempotent - SPARK-6132
Context cleaner race condition across SparkContexts - SPARK-6345
Model update propagation during prediction in Streaming Regression - SPARK-1600
flaky "recovery with file input stream" test in streaming.CheckpointSuite - SPARK-5231
History Server shows wrong job submission time. - SPARK-5441
SerDeUtil Pair RDD to python conversion doesn't accept empty RDDs - SPARK-5361
Multiple Java RDD <-> Python RDD conversions not working correctly - SPARK-677
PySpark should not collect results through local filesystem - SPARK-5395
Large number of Python workers causing resource depletion - SPARK-5691
Preventing duplicate registering of an application has incorrect logic - SPARK-5765
word split problem in run-example and compute-classpath - SPARK-5186
Vector.equals and Vector.hashCode are very inefficient and fail on SparseVectors with large size - SPARK-4579
Scheduling Delay appears negative - SPARK-6294
PySpark task may hang while call take() on in Java/Scala - SPARK-6194
collect() in PySpark will cause memory leak in JVM - SPARK-6209
ExecutorClassLoader can leak connections after failing to load classes from the REPL class server - SPARK-5779
Python broadcast does not work with Kryo serializer - SPARK-5655
YARN Auxiliary Shuffle service can't access shuffle files on Hadoop cluster configured in secure mode - SPARK-5703
AllJobsPage throws empty.max error - SPARK-5698
Dynamic allocation: do not allow user to request a negative delta - SPARK-5825
Failure stopping Services while command line argument is too long - SPARK-5846
Spark SQL does not correctly set job description and scheduler pool - SPARK-6055
Memory leak in pyspark sql due to incorrect equality check - SPARK-6578
Outbound channel in network library is not thread-safe, can lead to fetch failures - SPARK-6667
hang while collect in PySpark - SPARK-5973
zip two rdd with AutoBatchedSerializer will fail - SPARK-5967
JobProgressListener.stageIdToActiveJobIds never cleared - SPARK-5363
Spark 1.2 freeze without error notification - SPARK-5788
Capture exceptions in Python write thread - SPARK-5465
Data source version of Parquet doesn't push down And filters properly - SPARK-5346
Parquet filter pushdown is not enabled when parquet.task.side.metadata is set to true (default value)
{"errorMessages":["jqlTooComplex"],"errors":{}}
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