spark-instrumented-optimizer/python/pyspark
Burak Yavuz 80bf48f437 [SPARK-14555] First cut of Python API for Structured Streaming
## What changes were proposed in this pull request?

This patch provides a first cut of python APIs for structured streaming. This PR provides the new classes:
 - ContinuousQuery
 - Trigger
 - ProcessingTime
in pyspark under `pyspark.sql.streaming`.

In addition, it contains the new methods added under:
 -  `DataFrameWriter`
     a) `startStream`
     b) `trigger`
     c) `queryName`

 -  `DataFrameReader`
     a) `stream`

 - `DataFrame`
    a) `isStreaming`

This PR doesn't contain all methods exposed for `ContinuousQuery`, for example:
 - `exception`
 - `sourceStatuses`
 - `sinkStatus`

They may be added in a follow up.

This PR also contains some very minor doc fixes in the Scala side.

## How was this patch tested?

Python doc tests

TODO:
 - [ ] verify Python docs look good

Author: Burak Yavuz <brkyvz@gmail.com>
Author: Burak Yavuz <burak@databricks.com>

Closes #12320 from brkyvz/stream-python.
2016-04-20 10:32:01 -07:00
..
ml [SPARK-14555] First cut of Python API for Structured Streaming 2016-04-20 10:32:01 -07:00
mllib [SPARK-14564][ML][MLLIB][PYSPARK] Python Word2Vec missing setWindowSize method 2016-04-18 12:47:14 -07:00
sql [SPARK-14555] First cut of Python API for Structured Streaming 2016-04-20 10:32:01 -07:00
streaming [SPARK-13579][BUILD] Stop building the main Spark assembly. 2016-04-04 16:52:22 -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-13687][PYTHON] Cleanup PySpark parallelize temporary files 2016-04-10 02:34:54 +01:00
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-14368][PYSPARK] Support python.spark.worker.memory with upper-case unit. 2016-04-05 12:19:20 +09:00
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-12993][PYSPARK] Remove usage of ADD_FILES in pyspark 2016-01-26 14:58:39 -08:00
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-13687][PYTHON] Cleanup PySpark parallelize temporary files 2016-04-10 02:34:54 +01:00
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