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Soham Aurangabadkar 7696b9de0d [SPARK-20538][SQL] Wrap Dataset.reduce with withNewRddExecutionId. 
## What changes were proposed in this pull request?

Wrap Dataset.reduce with `withNewExecutionId`.

Author: Soham Aurangabadkar <sohama4@gmail.com>

Closes #21316 from sohama4/dataset_reduce_withexecutionid.
2018-05-18 10:29:34 -07:00
..
catalyst [SPARK-24193] create TakeOrderedAndProjectExec only when the limit number is below spark.sql.execution.topKSortFallbackThreshold. 2018-05-17 22:29:18 +08:00
core [SPARK-20538][SQL] Wrap Dataset.reduce with withNewRddExecutionId. 2018-05-18 10:29:34 -07:00
hive [SPARK-22279][SQL] Enable convertMetastoreOrc by default 2018-05-10 13:36:52 +08:00
hive-thriftserver [SPARK-24017][SQL] Refactor ExternalCatalog to be an interface 2018-05-06 20:41:32 -07:00
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 [MINOR][DOC] Fix some typos and grammar issues 2018-04-06 13:37:08 +08:00

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 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.