spark-instrumented-optimizer/sql
Yuming Wang 46776234a4 [SPARK-22762][TEST] Basic tests for IfCoercion and CaseWhenCoercion
## What changes were proposed in this pull request?

Basic tests for IfCoercion and CaseWhenCoercion

## How was this patch tested?

N/A

Author: Yuming Wang <wgyumg@gmail.com>

Closes #19949 from wangyum/SPARK-22762.
2017-12-15 09:58:31 -08:00
..
catalyst [SPARK-22779][SQL] Resolve default values for fallback configs. 2017-12-13 22:46:20 -08:00
core [SPARK-22762][TEST] Basic tests for IfCoercion and CaseWhenCoercion 2017-12-15 09:58:31 -08:00
hive [SPARK-22745][SQL] read partition stats from Hive 2017-12-13 16:27:29 +08:00
hive-thriftserver Revert "[SPARK-22496][SQL] thrift server adds operation logs" 2017-12-15 09:46:15 -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

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.