spark-instrumented-optimizer/sql
Marcelo Vanzin 3ae63b808a [SPARK-18752][SQL] Follow-up: add scaladoc explaining isSrcLocal arg.
Author: Marcelo Vanzin <vanzin@cloudera.com>

Closes #16257 from vanzin/SPARK-18752.2.
2016-12-13 17:55:38 -08:00
..
catalyst [SPARK-18752][SQL] Follow-up: add scaladoc explaining isSrcLocal arg. 2016-12-13 17:55:38 -08:00
core [SPARK-18746][SQL] Add implicit encoder for BigDecimal, timestamp and date 2016-12-14 09:48:38 +08:00
hive [SPARK-18675][SQL] CTAS for hive serde table should work for all hive versions 2016-12-13 09:46:58 -08:00
hive-thriftserver [SPARK-18695] Bump master branch version to 2.2.0-SNAPSHOT 2016-12-02 21:09:37 -08:00
README.md [SPARK-16557][SQL] Remove stale doc in sql/README.md 2016-07-14 19:24:42 -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.