spark-instrumented-optimizer/sql
Takeshi Yamamuro e8a259d66d [SPARK-23594][SQL] GetExternalRowField should support interpreted execution
## What changes were proposed in this pull request?
This pr added interpreted execution for `GetExternalRowField`.

## How was this patch tested?
Added tests in `ObjectExpressionsSuite`.

Author: Takeshi Yamamuro <yamamuro@apache.org>

Closes #20746 from maropu/SPARK-23594.
2018-03-06 13:55:13 +01:00
..
catalyst [SPARK-23594][SQL] GetExternalRowField should support interpreted execution 2018-03-06 13:55:13 +01:00
core [SPARK-23303][SQL] improve the explain result for data source v2 relations 2018-03-05 20:35:14 -08:00
hive [SPARK-23570][SQL] Add Spark 2.3.0 in HiveExternalCatalogVersionsSuite 2018-03-02 14:30:37 -08:00
hive-thriftserver [SPARK-23518][SQL] Avoid metastore access when the users only want to read and write data frames 2018-03-02 10:38:50 -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.