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Takeshi Yamamuro 6325a2f82a [SPARK-19923][SQL] Remove unnecessary type conversions per call in Hive 
## What changes were proposed in this pull request?
This pr removed unnecessary type conversions per call in Hive: https://github.com/apache/spark/blob/master/sql/hive/src/main/scala/org/apache/spark/sql/hive/hiveUDFs.scala#L116

## How was this patch tested?
Existing tests

Author: Takeshi Yamamuro <yamamuro@apache.org>

Closes #17264 from maropu/SPARK-19923.
2017-03-14 18:51:05 +01:00
..
catalyst [SPARK-18874][SQL] Fix 2.10 build after moving the subquery rules to optimization 2017-03-14 14:02:48 +01:00
core [SPARK-18961][SQL] Support SHOW TABLE EXTENDED ... PARTITION statement 2017-03-14 10:13:50 -07:00
hive [SPARK-19923][SQL] Remove unnecessary type conversions per call in Hive 2017-03-14 18:51:05 +01:00
hive-thriftserver [SPARK-19673][SQL] "ThriftServer default app name is changed wrong" 2017-02-25 21:47:02 +00:00
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.