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Dongjoon Hyun b4be6a6d12 [SPARK-32845][SS][TESTS] Add sinkParameter to check sink options robustly in DataStreamReaderWriterSuite 
### What changes were proposed in this pull request?

This PR aims to add `sinkParameter`  to check sink options robustly and independently in DataStreamReaderWriterSuite

### Why are the changes needed?

`LastOptions.parameters` is designed to catch three cases: `sourceSchema`, `createSource`, `createSink`. However, `StreamQuery.stop` invokes `queryExecutionThread.join`, `runStream`, `createSource` immediately and reset the stored options by `createSink`.

To catch `createSink` options, currently, the test suite is trying a workaround pattern. However, we observed a flakiness in this pattern sometimes. If we split `createSink` option separately, we don't need this workaround and can eliminate this flakiness.

```scala
val query = df.writeStream.
   ...
   .start()
assert(LastOptions.paramters(..))
query.stop()
```

### Does this PR introduce _any_ user-facing change?

No. This is a test-only change.

### How was this patch tested?

Pass the newly updated test case.

Closes #29730 from dongjoon-hyun/SPARK-32845.

Authored-by: Dongjoon Hyun <dongjoon@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
2020-09-11 11:48:34 -07:00
..
catalyst [MINOR][SQL] Fix a typo at 'spark.sql.sources.fileCompressionFactor' error message in SQLConf 2020-09-11 08:05:34 -05:00
core [SPARK-32845][SS][TESTS] Add sinkParameter to check sink options robustly in DataStreamReaderWriterSuite 2020-09-11 11:48:34 -07:00
hive Revert "[SPARK-32677][SQL] Load function resource before create" 2020-09-09 18:15:22 +00:00
hive-thriftserver Revert "[SPARK-32772][SQL][FOLLOWUP] Remove legacy silent support mode for spark-sql CLI" 2020-09-10 14:23:10 +09:00
create-docs.sh [SPARK-31550][SQL][DOCS] Set nondeterministic configurations with general meanings in sql configuration doc 2020-04-27 17:08:52 +09:00
gen-sql-api-docs.py [SPARK-31474][SQL][FOLLOWUP] Replace _FUNC_ placeholder with functionname in the note field of expression info 2020-04-23 13:33:04 +09:00
gen-sql-config-docs.py [SPARK-31550][SQL][DOCS] Set nondeterministic configurations with general meanings in sql configuration doc 2020-04-27 17:08:52 +09:00
gen-sql-functions-docs.py [SPARK-31562][SQL] Update ExpressionDescription for substring, current_date, and current_timestamp 2020-04-26 11:46:52 -07:00
mkdocs.yml [SPARK-30731] Update deprecated Mkdocs option 2020-02-19 17:28:58 +09:00
README.md [SPARK-30510][SQL][DOCS] Publicly document Spark SQL configuration options 2020-02-09 19:20:47 +09:00

README.md

Spark SQL

This module provides support for executing relational queries expressed in either SQL or the DataFrame/Dataset API.

Spark SQL is broken up into four subprojects:

  • Catalyst (sql/catalyst) - An implementation-agnostic framework for manipulating trees of relational operators and expressions.
  • Execution (sql/core) - A query planner / execution engine for translating Catalyst's logical query plans into Spark RDDs. This component also includes a new public interface, SQLContext, that allows users to execute SQL or LINQ statements against existing RDDs and Parquet files.
  • Hive Support (sql/hive) - Includes extensions that allow users to write queries using a subset of HiveQL and access data from a Hive Metastore using Hive SerDes. There are also wrappers that allow users to run queries that include Hive UDFs, UDAFs, and UDTFs.
  • HiveServer and CLI support (sql/hive-thriftserver) - Includes support for the SQL CLI (bin/spark-sql) and a HiveServer2 (for JDBC/ODBC) compatible server.

Running ./sql/create-docs.sh generates SQL documentation for built-in functions under sql/site, and SQL configuration documentation that gets included as part of configuration.md in the main docs directory.