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Jose Torres 49b0207dc9 [SPARK-23196] Unify continuous and microbatch V2 sinks 
## What changes were proposed in this pull request?

Replace streaming V2 sinks with a unified StreamWriteSupport interface, with a shim to use it with microbatch execution.

Add a new SQL config to use for disabling V2 sinks, falling back to the V1 sink implementation.

## How was this patch tested?

Existing tests, which in the case of Kafka (the only existing continuous V2 sink) now use V2 for microbatch.

Author: Jose Torres <jose@databricks.com>

Closes #20369 from jose-torres/streaming-sink.
2018-01-29 13:10:38 +08:00
..
catalyst [SPARK-23196] Unify continuous and microbatch V2 sinks 2018-01-29 13:10:38 +08:00
core [SPARK-23196] Unify continuous and microbatch V2 sinks 2018-01-29 13:10:38 +08:00
hive [SPARK-23032][SQL] Add a per-query codegenStageId to WholeStageCodegenExec 2018-01-25 16:11:33 -08:00
hive-thriftserver [SPARK-22837][SQL] Session timeout checker does not work in SessionManager. 2018-01-24 10:07:24 -08:00
create-docs.sh [MINOR][DOCS] Minor doc fixes related with doc build and uses script dir in SQL doc gen script 2017-08-26 13:56:24 +09:00
gen-sql-markdown.py [SPARK-21485][FOLLOWUP][SQL][DOCS] Describes examples and arguments separately, and note/since in SQL built-in function documentation 2017-08-05 10:10:56 -07:00
mkdocs.yml [SPARK-21485][SQL][DOCS] Spark SQL documentation generation for built-in functions 2017-07-26 09:38:51 -07:00
README.md [SPARK-21485][SQL][DOCS] Spark SQL documentation generation for built-in functions 2017-07-26 09:38:51 -07:00

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 an extension of SQLContext called HiveContext that allows users to write queries using a subset of HiveQL and access data from a Hive Metastore using Hive SerDes. There are also wrappers that allows 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.