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Jacek Laskowski a3097e2b31 [SQL][DOC][MINOR] Add (Scala-specific) and (Java-specific) 
## What changes were proposed in this pull request?

Adds (Scala-specific) and (Java-specific) to Scaladoc.

## How was this patch tested?

local build

Author: Jacek Laskowski <jacek@japila.pl>

Closes #14891 from jaceklaskowski/scala-specifics.
2016-09-02 10:25:42 +01:00
..
catalyst [SPARK-16525] [SQL] Enable Row Based HashMap in HashAggregateExec 2016-09-01 16:56:35 -07:00
core [SQL][DOC][MINOR] Add (Scala-specific) and (Java-specific) 2016-09-02 10:25:42 +01:00
hive [SPARK-16926][SQL] Add unit test to compare table and partition column metadata. 2016-09-02 11:12:34 +08:00
hive-thriftserver [SPARK-17190][SQL] Removal of HiveSharedState 2016-08-25 12:50:03 +08:00
README.md [SPARK-16557][SQL] Remove stale doc in sql/README.md 2016-07-14 19:24:42 -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.