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Kris Mok f94f3624ea [SPARK-23947][SQL] Add hashUTF8String convenience method to hasher classes 
## What changes were proposed in this pull request?

Add `hashUTF8String()` to the hasher classes to allow Spark SQL codegen to generate cleaner code for hashing `UTF8String`s. No change in behavior otherwise.

Although with the introduction of SPARK-10399, the code size for hashing `UTF8String` is already smaller, it's still good to extract a separate function in the hasher classes so that the generated code can stay clean.

## How was this patch tested?

Existing tests.

Author: Kris Mok <kris.mok@databricks.com>

Closes #21016 from rednaxelafx/hashutf8.
2018-04-09 21:07:28 -07:00
..
catalyst [SPARK-23947][SQL] Add hashUTF8String convenience method to hasher classes 2018-04-09 21:07:28 -07:00
core [SPARK-22856][SQL] Add wrappers for codegen output and nullability 2018-04-09 11:54:35 -07:00
hive [SPARK-23826][TEST] TestHiveSparkSession should set default session 2018-04-04 14:31:03 +08:00
hive-thriftserver [SPARK-23639][SQL] Obtain token before init metastore client in SparkSQL CLI 2018-03-29 10:46:28 -07:00
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 [MINOR][DOC] Fix some typos and grammar issues 2018-04-06 13:37:08 +08:00

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 allow 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.