spark-instrumented-optimizer/sql/core
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
..
src [SPARK-15517][SQL][STREAMING] Add support for complete output mode in Structure Streaming 2016-05-31 15:57:01 -07:00
pom.xml [SPARK-15493][SQL] default QuoteEscapingEnabled flag to true when writing CSV 2016-05-25 12:40:16 -07:00