ODIn/spark-instrumented-optimizer
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spark-instrumented-optimizer/sql/README.md
Daniel Sakuma 6ade5cbb49 [MINOR][DOC] Fix some typos and grammar issues 
## What changes were proposed in this pull request?

Easy fix in the documentation.

## How was this patch tested?

N/A

Closes #20948

Author: Daniel Sakuma <dsakuma@gmail.com>

Closes #20928 from dsakuma/fix_typo_configuration_docs.
2018-04-06 13:37:08 +08:00

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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.