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Kevin Yu d22db62785 [SPARK-18871][SQL][TESTS] New test cases for IN/NOT IN subquery 2nd batch 
## What changes were proposed in this pull request?

This is 2nd batch of test case for IN/NOT IN subquery.  In this PR, it has these test cases:
`in-limit.sql`
`in-order-by.sql`
`not-in-group-by.sql`

These are the queries and results from running on DB2.
[in-limit DB2 version](https://github.com/apache/spark/files/743267/in-limit.sql.db2.out.txt)
[in-order-by DB2 version](https://github.com/apache/spark/files/743269/in-order-by.sql.db2.txt)
[not-in-group-by DB2 version](https://github.com/apache/spark/files/743271/not-in-group-by.sql.db2.txt)
[output of in-limit.sql DB2](https://github.com/apache/spark/files/743276/in-limit.sql.db2.out.txt)
[output of in-order-by.sql DB2](https://github.com/apache/spark/files/743278/in-order-by.sql.db2.out.txt)
[output of not-in-group-by.sql DB2](https://github.com/apache/spark/files/743279/not-in-group-by.sql.db2.out.txt)

## How was this patch tested?

This pr is adding new test cases.

Author: Kevin Yu <qyu@us.ibm.com>

Closes #16759 from kevinyu98/spark-18871-2.
2017-02-15 17:28:42 +01:00
..
catalyst [SPARK-17076][SQL] Cardinality estimation for join based on basic column statistics 2017-02-15 08:21:51 -08:00
core [SPARK-18871][SQL][TESTS] New test cases for IN/NOT IN subquery 2nd batch 2017-02-15 17:28:42 +01:00
hive [SPARK-19587][SQL] bucket sorting columns should not be picked from partition columns 2017-02-15 08:15:03 -08:00
hive-thriftserver [SPARK-18857][SQL] Don't use Iterator.duplicate for incrementalCollect in Thrift Server 2017-01-10 13:27:55 +00:00
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.