spark-instrumented-optimizer/sql
Carson Wang 3f375c850b [SPARK-28339][SQL] Rename Spark SQL adaptive execution configuration name
## What changes were proposed in this pull request?
The new adaptive execution framework introduced configuration `spark.sql.runtime.reoptimization.enabled`. We now rename it back to `spark.sql.adaptive.enabled` as the umbrella configuration for adaptive execution.

## How was this patch tested?
Existing tests.

Closes #25102 from carsonwang/renameAE.

Authored-by: Carson Wang <carson.wang@intel.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2019-07-11 09:17:45 +08:00
..
catalyst [SPARK-28339][SQL] Rename Spark SQL adaptive execution configuration name 2019-07-11 09:17:45 +08:00
core [SPARK-28339][SQL] Rename Spark SQL adaptive execution configuration name 2019-07-11 09:17:45 +08:00
hive [SPARK-27919][SQL] Add v2 session catalog 2019-07-11 09:10:30 +08:00
hive-thriftserver [SPARK-28290][CORE][SQL] Use SslContextFactory.Server instead of SslContextFactory 2019-07-10 09:05:56 -07:00
create-docs.sh
gen-sql-markdown.py [SPARK-27328][SQL] Add 'deprecated' in ExpressionDescription for extended usage and SQL doc 2019-04-09 13:49:42 +08:00
mkdocs.yml
README.md [MINOR][DOC] Fix some typos and grammar issues 2018-04-06 13:37:08 +08:00

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.