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HyukjinKwon 3670826af6 [SPARK-26921][R][DOCS] Document Arrow optimization and vectorized R APIs 
## What changes were proposed in this pull request?

This PR adds SparkR with Arrow optimization documentation.

Note that looks CRAN issue in Arrow side won't look likely fixed soon, IMHO, even after Spark 3.0.
If it happen to be fixed, I will fix this doc too later.

Another note is that Arrow R package itself requires R 3.5+. So, I intentionally didn't note this.

## How was this patch tested?

Manually built and checked.

Closes #24506 from HyukjinKwon/SPARK-26924.

Authored-by: HyukjinKwon <gurwls223@apache.org>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
2019-05-02 10:02:14 +09:00
..
catalyst [SPARK-26921][R][DOCS] Document Arrow optimization and vectorized R APIs 2019-05-02 10:02:14 +09:00
core [SPARK-27588] Binary file data source fails fast and doesn't attempt to read very large files 2019-04-29 16:24:49 -07:00
hive [SPARK-26936][MINOR][FOLLOWUP] Don't need the JobConf anymore, it seems 2019-04-29 19:47:20 -07:00
hive-thriftserver [SPARK-27404][CORE][SQL][STREAMING][YARN] Fix build warnings for 3.0: postfixOps edition 2019-04-11 13:43:44 -05:00
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-27328][SQL] Add 'deprecated' in ExpressionDescription for extended usage and SQL doc 2019-04-09 13:49:42 +08:00
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.