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maryannxue 434319e73f [SPARK-24802][SQL] Add a new config for Optimization Rule Exclusion 
## What changes were proposed in this pull request?

Since Spark has provided fairly clear interfaces for adding user-defined optimization rules, it would be nice to have an easy-to-use interface for excluding an optimization rule from the Spark query optimizer as well.

This would make customizing Spark optimizer easier and sometimes could debugging issues too.

- Add a new config spark.sql.optimizer.excludedRules, with the value being a list of rule names separated by comma.
- Modify the current batches method to remove the excluded rules from the default batches. Log the rules that have been excluded.
- Split the existing default batches into "post-analysis batches" and "optimization batches" so that only rules in the "optimization batches" can be excluded.

## How was this patch tested?

Add a new test suite: OptimizerRuleExclusionSuite

Author: maryannxue <maryannxue@apache.org>

Closes #21764 from maryannxue/rule-exclusion.
2018-07-23 08:25:24 -07:00
..
catalyst [SPARK-24802][SQL] Add a new config for Optimization Rule Exclusion 2018-07-23 08:25:24 -07:00
core [SPARK-22880][SQL] Add cascadeTruncate option to JDBC datasource 2018-07-20 13:03:57 -07:00
hive [SQL][HIVE] Correct an assert message in function makeRDDForTable 2018-07-23 19:10:53 +08:00
hive-thriftserver [SPARK-24553][WEB-UI] http 302 fixes for href redirect 2018-06-27 15:36:59 -07:00
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 [MINOR][DOC] Fix some typos and grammar issues 2018-04-06 13:37:08 +08:00

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 allow 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.