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Nattavut Sutyanyong a367d5ff00 [SPARK-18578][SQL] Full outer join in correlated subquery returns incorrect results 
## What changes were proposed in this pull request?

- Raise Analysis exception when correlated predicates exist in the descendant operators of either operand of a Full outer join in a subquery as well as in a FOJ operator itself
- Raise Analysis exception when correlated predicates exists in a Window operator (a side effect inadvertently introduced by SPARK-17348)

## How was this patch tested?

Run sql/test catalyst/test and new test cases, added to SubquerySuite, showing the reported incorrect results.

Author: Nattavut Sutyanyong <nsy.can@gmail.com>

Closes #16005 from nsyca/FOJ-incorrect.1.
2016-11-24 12:07:55 -08:00
..
catalyst [SPARK-18578][SQL] Full outer join in correlated subquery returns incorrect results 2016-11-24 12:07:55 -08:00
core [SPARK-18578][SQL] Full outer join in correlated subquery returns incorrect results 2016-11-24 12:07:55 -08:00
hive [SPARK-18522][SQL] Explicit contract for column stats serialization 2016-11-23 20:48:41 +08:00
hive-thriftserver [SPARK-14914][CORE] Fix Resource not closed after using, for unit tests and example 2016-11-10 10:54:36 +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.