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Reynold Xin d099f414d2 [SPARK-20674][SQL] Support registering UserDefinedFunction as named UDF 
## What changes were proposed in this pull request?
For some reason we don't have an API to register UserDefinedFunction as named UDF. It is a no brainer to add one, in addition to the existing register functions we have.

## How was this patch tested?
Added a test case in UDFSuite for the new API.

Author: Reynold Xin <rxin@databricks.com>

Closes #17915 from rxin/SPARK-20674.
2017-05-09 09:24:28 -07:00
..
catalyst [SPARK-20311][SQL] Support aliases for table value functions 2017-05-09 20:22:51 +08:00
core [SPARK-20674][SQL] Support registering UserDefinedFunction as named UDF 2017-05-09 09:24:28 -07:00
hive [SPARK-20667][SQL][TESTS] Cleanup the cataloged metadata after completing the package of sql/core and sql/hive 2017-05-09 20:10:50 +08:00
hive-thriftserver [SPARK-20453] Bump master branch version to 2.3.0-SNAPSHOT 2017-04-24 21:48:04 -07:00
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.