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Herman van Hovell 617ab6445e [SPARK-20086][SQL] CollapseWindow should not collapse dependent adjacent windows 
## What changes were proposed in this pull request?
The `CollapseWindow` is currently to aggressive when collapsing adjacent windows. It also collapses windows in the which the parent produces a column that is consumed by the child; this creates an invalid window which will fail at runtime.

This PR fixes this by adding a check for dependent adjacent windows to the `CollapseWindow` rule.

## How was this patch tested?
Added a new test case to `CollapseWindowSuite`

Author: Herman van Hovell <hvanhovell@databricks.com>

Closes #17432 from hvanhovell/SPARK-20086.
2017-03-26 22:47:31 +02:00
..
catalyst [SPARK-20086][SQL] CollapseWindow should not collapse dependent adjacent windows 2017-03-26 22:47:31 +02:00
core [SPARK-20046][SQL] Facilitate loop optimizations in a JIT compiler regarding sqlContext.read.parquet() 2017-03-26 09:20:22 +02:00
hive [SPARK-19970][SQL][FOLLOW-UP] Table owner should be USER instead of PRINCIPAL in kerberized clusters #17311 2017-03-24 14:42:33 +08:00
hive-thriftserver [SPARK-19673][SQL] "ThriftServer default app name is changed wrong" 2017-02-25 21:47:02 +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.