spark-instrumented-optimizer/python/pyspark
Tathagata Das 90b11439b3 [SPARK-15517][SQL][STREAMING] Add support for complete output mode in Structure Streaming
## What changes were proposed in this pull request?
Currently structured streaming only supports append output mode.  This PR adds the following.

- Added support for Complete output mode in the internal state store, analyzer and planner.
- Added public API in Scala and Python for users to specify output mode
- Added checks for unsupported combinations of output mode and DF operations
  - Plans with no aggregation should support only Append mode
  - Plans with aggregation should support only Update and Complete modes
  - Default output mode is Append mode (**Question: should we change this to automatically set to Complete mode when there is aggregation?**)
- Added support for Complete output mode in Memory Sink. So Memory Sink internally supports append and complete, update. But from public API only Complete and Append output modes are supported.

## How was this patch tested?
Unit tests in various test suites
- StreamingAggregationSuite: tests for complete mode
- MemorySinkSuite: tests for checking behavior in Append and Complete modes.
- UnsupportedOperationSuite: tests for checking unsupported combinations of DF ops and output modes
- DataFrameReaderWriterSuite: tests for checking that output mode cannot be called on static DFs
- Python doc test and existing unit tests modified to call write.outputMode.

Author: Tathagata Das <tathagata.das1565@gmail.com>

Closes #13286 from tdas/complete-mode.
2016-05-31 15:57:01 -07:00
..
ml [MINOR][DOC][ML] ml.clustering scala & python api doc sync 2016-05-31 14:56:43 -07:00
mllib [MINOR] Fix Typos 'a -> an' 2016-05-26 22:39:14 -07:00
sql [SPARK-15517][SQL][STREAMING] Add support for complete output mode in Structure Streaming 2016-05-31 15:57:01 -07:00
streaming [MINOR] Fix Typos 'a -> an' 2016-05-26 22:39:14 -07:00
__init__.py [SPARK-14555] First cut of Python API for Structured Streaming 2016-04-20 10:32:01 -07:00
accumulators.py [SPARK-8652] [PYSPARK] Check return value for all uses of doctest.testmod() 2015-06-26 08:12:22 -07:00
broadcast.py [SPARK-14418][PYSPARK] fix unpersist of Broadcast in Python 2016-04-06 10:46:34 -07:00
cloudpickle.py [SPARK-13697] [PYSPARK] Fix the missing module name of TransformFunctionSerializer.loads 2016-03-06 08:57:01 -08:00
conf.py [SPARK-4897] [PySpark] Python 3 support 2015-04-16 16:20:57 -07:00
context.py [SPARK-15031][EXAMPLE] Use SparkSession in Scala/Python/Java example. 2016-05-04 14:31:36 -07:00
daemon.py [SPARK-4897] [PySpark] Python 3 support 2015-04-16 16:20:57 -07:00
files.py [SPARK-3309] [PySpark] Put all public API in __all__ 2014-09-03 11:49:45 -07:00
heapq3.py [SPARK-8652] [PYSPARK] Check return value for all uses of doctest.testmod() 2015-06-26 08:12:22 -07:00
java_gateway.py [SPARK-9700] Pick default page size more intelligently. 2015-08-06 23:18:29 -07:00
join.py [SPARK-14202] [PYTHON] Use generator expression instead of list comp in python_full_outer_jo… 2016-03-28 14:51:36 -07:00
profiler.py [SPARK-8652] [PYSPARK] Check return value for all uses of doctest.testmod() 2015-06-26 08:12:22 -07:00
rdd.py [SPARK-15136][PYSPARK][DOC] Fix links to sphinx style and add a default param doc note 2016-05-09 09:11:17 +01:00
rddsampler.py [SPARK-4897] [PySpark] Python 3 support 2015-04-16 16:20:57 -07:00
resultiterable.py [SPARK-3074] [PySpark] support groupByKey() with single huge key 2015-04-09 17:07:23 -07:00
serializers.py [SPARK-10542] [PYSPARK] fix serialize namedtuple 2015-09-14 19:46:34 -07:00
shell.py [SPARK-15456][PYSPARK] Fixed PySpark shell context initialization when HiveConf not present 2016-05-20 16:41:57 -07:00
shuffle.py [SPARK-10710] Remove ability to disable spilling in core and SQL 2015-09-19 21:40:21 -07:00
statcounter.py [SPARK-6919] [PYSPARK] Add asDict method to StatCounter 2015-09-29 13:38:15 -07:00
status.py [SPARK-4172] [PySpark] Progress API in Python 2015-02-17 13:36:43 -08:00
storagelevel.py [SPARK-13992][CORE][PYSPARK][FOLLOWUP] Update OFF_HEAP semantics for Java api and Python api 2016-04-12 23:06:55 -07:00
tests.py [SPARK-15433] [PYSPARK] PySpark core test should not use SerDe from PythonMLLibAPI 2016-05-24 10:10:41 -07:00
traceback_utils.py [SPARK-1087] Move python traceback utilities into new traceback_utils.py file. 2014-09-15 19:28:17 -07:00
worker.py [SPARK-14267] [SQL] [PYSPARK] execute multiple Python UDFs within single batch 2016-03-31 16:40:20 -07:00