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gatorsmile ca04c3ff23 [SPARK-23274][SQL] Fix ReplaceExceptWithFilter when the right's Filter contains the references that are not in the left output 
## What changes were proposed in this pull request?
This PR is to fix the `ReplaceExceptWithFilter` rule when the right's Filter contains the references that are not in the left output.

Before this PR, we got the error like
```
java.util.NoSuchElementException: key not found: a
  at scala.collection.MapLike$class.default(MapLike.scala:228)
  at scala.collection.AbstractMap.default(Map.scala:59)
  at scala.collection.MapLike$class.apply(MapLike.scala:141)
  at scala.collection.AbstractMap.apply(Map.scala:59)
```

After this PR, `ReplaceExceptWithFilter ` will not take an effect in this case.

## How was this patch tested?
Added tests

Author: gatorsmile <gatorsmile@gmail.com>

Closes #20444 from gatorsmile/fixReplaceExceptWithFilter.
2018-01-30 20:05:57 -08:00
..
catalyst [SPARK-23274][SQL] Fix ReplaceExceptWithFilter when the right's Filter contains the references that are not in the left output 2018-01-30 20:05:57 -08:00
core [SPARK-23274][SQL] Fix ReplaceExceptWithFilter when the right's Filter contains the references that are not in the left output 2018-01-30 20:05:57 -08:00
hive [SPARK-23276][SQL][TEST] Enable UDT tests in (Hive)OrcHadoopFsRelationSuite 2018-01-30 17:14:17 -08:00
hive-thriftserver [SPARK-22837][SQL] Session timeout checker does not work in SessionManager. 2018-01-24 10:07:24 -08:00
create-docs.sh [MINOR][DOCS] Minor doc fixes related with doc build and uses script dir in SQL doc gen script 2017-08-26 13:56:24 +09:00
gen-sql-markdown.py [SPARK-21485][FOLLOWUP][SQL][DOCS] Describes examples and arguments separately, and note/since in SQL built-in function documentation 2017-08-05 10:10:56 -07:00
mkdocs.yml [SPARK-21485][SQL][DOCS] Spark SQL documentation generation for built-in functions 2017-07-26 09:38:51 -07:00
README.md [SPARK-21485][SQL][DOCS] Spark SQL documentation generation for built-in functions 2017-07-26 09:38:51 -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.

Running sql/create-docs.sh generates SQL documentation for built-in functions under sql/site.