90b11439b3
## 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. |
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.. | ||
ml | ||
mllib | ||
sql | ||
streaming | ||
__init__.py | ||
accumulators.py | ||
broadcast.py | ||
cloudpickle.py | ||
conf.py | ||
context.py | ||
daemon.py | ||
files.py | ||
heapq3.py | ||
java_gateway.py | ||
join.py | ||
profiler.py | ||
rdd.py | ||
rddsampler.py | ||
resultiterable.py | ||
serializers.py | ||
shell.py | ||
shuffle.py | ||
statcounter.py | ||
status.py | ||
storagelevel.py | ||
tests.py | ||
traceback_utils.py | ||
worker.py |