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- SPARK-18477
Enable interrupts for HDFS in HDFSMetadataLog - SPARK-18474
Add StreamingQuery.status in python - SPARK-18461
Improve docs on StreamingQueryListener and StreamingQuery.status - SPARK-18460
Include triggerDetails in StreamingQueryStatus.json - SPARK-18459
Rename triggerId to batchId in StreamingQueryStatus.triggerDetails - SPARK-18440
Fix FileStreamSink with aggregation + watermark + append mode - SPARK-18416
State Store leaks temporary files - SPARK-18164
ForeachSink should fail the Spark job if `process` throws exception - SPARK-18143
History Server is broken because of the refactoring work in Structured Streaming - SPARK-17926
Add methods to convert StreamingQueryStatus to json - SPARK-17731
Metrics for Structured Streaming - SPARK-17372
Running a file stream on a directory with partitioned subdirs throw NotSerializableException/StackOverflowError - SPARK-17096
Fix StreamingQueryListener to return message and stacktrace of actual exception - SPARK-16430
Add an option in file stream source to read 1 file at a time - SPARK-16266
Move python DataStreamReader/Writer from pyspark.sql to pyspark.sql.streaming package - SPARK-16256
Add Structured Streaming Programming Guide - SPARK-16116
ConsoleSink should not require checkpointLocation - SPARK-16114
Add network word count example - SPARK-16050
Flaky Test: Complete aggregation with Console sink - SPARK-16020
Fix complete mode aggregation with console sink - SPARK-16002
Sleep when no new data arrives to avoid 100% CPU usage - SPARK-15981
Fix bug in python DataStreamReader - SPARK-15953
Renamed ContinuousQuery to StreamingQuery for simplicity - SPARK-15935
Enable test for sql/streaming.py and fix these tests - SPARK-15933
Refactor reader-writer interface for streaming DFs to use DataStreamReader/Writer - SPARK-15889
Add a unique id to ContinuousQuery - SPARK-15853
HDFSMetadataLog.get leaks the input stream - SPARK-15842
Add support for socket stream. - SPARK-15812
Allow sorting on aggregated streaming dataframe when the output mode is Complete - SPARK-15765
Make continuous Parquet writes consistent with non-continuous Parquet writes - SPARK-15593
Add DataFrameWriter.foreach to allow the user consuming data in ContinuousQuery - SPARK-15580
Add ContinuousQueryInfo to make ContinuousQueryListener events serializable - SPARK-15517
Add support for complete output mode - SPARK-15458
Disable schema inference for streaming datasets on file streams - SPARK-15443
Properly explain the streaming queries - SPARK-15428
Disable support for multiple streaming aggregations - SPARK-15375
Add ConsoleSink for structure streaming to display the dataframe on the fly - SPARK-15103
Add support for batch jobs correctly inferring partitions from data written with file stream sink - SPARK-15077
StreamExecution.awaitOffset may take too long because of thread starvation - SPARK-14860
Fix flaky test: o.a.s.sql.util.ContinuousQueryListenerSuite "event ordering" - SPARK-14837
Add support in file stream source for reading new files added to subdirs - SPARK-14833
Refactor StreamTests to test for source fault-tolerance correctly. - SPARK-14832
Refactor DataSource to ensure schema is inferred only once when creating a file stream - SPARK-14716
Add partitioned parquet support file stream sink - SPARK-14678
Add a file sink log to support versioning and compaction - SPARK-14579
Fix a race condition in StreamExecution.processAllAvailable - SPARK-14555
Python API for methods introduced for Structured Streaming - SPARK-14494
Fix the race conditions in MemoryStream and MemorySink - SPARK-14474
Move FileSource offset log into checkpointLocation - SPARK-14473
Define analysis rules for operations not supported in streaming
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