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Jacek Laskowski 5f8ff2fc9a [SPARK-16202][SQL][DOC] Follow-up to Correct The Description of CreatableRelationProvider's createRelation 
## What changes were proposed in this pull request?

Follow-up to SPARK-16202:

1. Remove the duplication of the meaning of `SaveMode` (as one was in fact missing that had proven that the duplication may be incomplete in the future again)

2. Use standard scaladoc tags

/cc gatorsmile rxin yhuai (as they were involved previously)

## How was this patch tested?

local build

Author: Jacek Laskowski <jacek@japila.pl>

Closes #18026 from jaceklaskowski/CreatableRelationProvider-SPARK-16202.
2017-05-24 17:24:23 -07:00
..
catalyst [SPARK-20867][SQL] Move hints from Statistics into HintInfo class 2017-05-24 13:57:19 -07:00
core [SPARK-16202][SQL][DOC] Follow-up to Correct The Description of CreatableRelationProvider's createRelation 2017-05-24 17:24:23 -07:00
hive [SPARK-17410][SPARK-17284] Move Hive-generated Stats Info to HiveClientImpl 2017-05-22 17:28:30 -07:00
hive-thriftserver [SPARK-20393][WEBU UI] Strengthen Spark to prevent XSS vulnerabilities 2017-05-10 10:59:57 +01:00
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.