[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.

1 files changed, 4 insertions, 3 deletions

diff --git a/python/pyspark/sql/tests.py b/python/pyspark/sql/tests.py
index 1790432edd..0d9dd5ea2a 100644
--- a/python/pyspark/sql/tests.py
+++ b/python/pyspark/sql/tests.py
@@ -926,7 +926,7 @@ class SQLTests(ReusedPySparkTestCase):
         out = os.path.join(tmpPath, 'out')
         chk = os.path.join(tmpPath, 'chk')
         cq = df.write.option('checkpointLocation', chk).queryName('this_query') \
-            .format('parquet').option('path', out).startStream()
+            .format('parquet').outputMode('append').option('path', out).startStream()
         try:
             self.assertEqual(cq.name, 'this_query')
             self.assertTrue(cq.isActive)
@@ -952,8 +952,9 @@ class SQLTests(ReusedPySparkTestCase):
         fake1 = os.path.join(tmpPath, 'fake1')
         fake2 = os.path.join(tmpPath, 'fake2')
         cq = df.write.option('checkpointLocation', fake1).format('memory').option('path', fake2) \
-            .queryName('fake_query').startStream(path=out, format='parquet', queryName='this_query',
-                                                 checkpointLocation=chk)
+            .queryName('fake_query').outputMode('append') \
+            .startStream(path=out, format='parquet', queryName='this_query', checkpointLocation=chk)
+
         try:
             self.assertEqual(cq.name, 'this_query')
             self.assertTrue(cq.isActive)