spark-instrumented-optimizer/sql
jiangxingbo 4d0cc84afc [SPARK-17032][SQL] Add test cases for methods in ParserUtils.
## What changes were proposed in this pull request?

Currently methods in `ParserUtils` are tested indirectly, we should add test cases in `ParserUtilsSuite` to verify their integrity directly.

## How was this patch tested?

New test cases in `ParserUtilsSuite`

Author: jiangxingbo <jiangxb1987@gmail.com>

Closes #14620 from jiangxb1987/parserUtils.
2016-08-17 14:22:36 +02:00
..
catalyst [SPARK-17032][SQL] Add test cases for methods in ParserUtils. 2016-08-17 14:22:36 +02:00
core [SPARK-17068][SQL] Make view-usage visible during analysis 2016-08-16 23:09:53 -07:00
hive [SPARK-17068][SQL] Make view-usage visible during analysis 2016-08-16 23:09:53 -07:00
hive-thriftserver [SPARK-16941] Use concurrentHashMap instead of scala Map in SparkSQLOperationManager. 2016-08-11 11:28:28 +01:00
README.md [SPARK-16557][SQL] Remove stale doc in sql/README.md 2016-07-14 19:24:42 -07:00

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.