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Takeshi Yamamuro b0888d1ac3 [SPARK-20730][SQL] Add an optimizer rule to combine nested Concat 
## What changes were proposed in this pull request?
This pr added a new Optimizer rule to combine nested Concat. The master supports a pipeline operator '||' to concatenate strings in #17711 (This pr is follow-up). Since the parser currently generates nested Concat expressions, the optimizer needs to combine the nested expressions.

## How was this patch tested?
Added tests in `CombineConcatSuite` and `SQLQueryTestSuite`.

Author: Takeshi Yamamuro <yamamuro@apache.org>

Closes #17970 from maropu/SPARK-20730.
2017-05-15 16:24:55 +08:00
..
catalyst [SPARK-20730][SQL] Add an optimizer rule to combine nested Concat 2017-05-15 16:24:55 +08:00
core [SPARK-20730][SQL] Add an optimizer rule to combine nested Concat 2017-05-15 16:24:55 +08:00
hive [SPARK-20594][SQL] The staging directory should be a child directory starts with "." to avoid being deleted if we set hive.exec.stagingdir under the table directory. 2017-05-12 11:24:07 -07:00
hive-thriftserver [SPARK-20393][WEBU UI] Strengthen Spark to prevent XSS vulnerabilities 2017-05-10 10:59:57 +01:00
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.