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Peter Toth 82820f8e25 [SPARK-26893][SQL] Allow partition pruning with subquery filters on file source 
## What changes were proposed in this pull request?

This PR introduces leveraging of subquery filters for partition pruning in file source.

Subquery expressions are not allowed to be used for partition pruning in `FileSourceStrategy` now, instead a `FilterExec` is added around the `FileSourceScanExec` to do the job.
This PR optimizes the process by allowing partition pruning subquery expressions as partition filters.

## How was this patch tested?

Added new UT and run existing UTs especially SPARK-25482 and SPARK-24085 related ones.

Closes #23802 from peter-toth/SPARK-26893.

Authored-by: Peter Toth <peter.toth@gmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2019-03-04 13:38:22 +08:00
..
catalyst [SPARK-27001][SQL] Refactor "serializerFor" method between ScalaReflection and JavaTypeInference 2019-03-04 10:45:48 +08:00
core [SPARK-26893][SQL] Allow partition pruning with subquery filters on file source 2019-03-04 13:38:22 +08:00
hive [SPARK-26982][SQL] Enhance describe framework to describe the output of a query. 2019-03-02 11:21:23 +08:00
hive-thriftserver [SPARK-24570][SQL] Implement Spark own GetTablesOperation to fix SQL client tools cannot show tables 2019-02-17 23:35:45 -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 [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.