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Jose Torres 75d666b95a [SPARK-22136][SS] Evaluate one-sided conditions early in stream-stream joins. 
## What changes were proposed in this pull request?

Evaluate one-sided conditions early in stream-stream joins.

This is in addition to normal filter pushdown, because integrating it with the join logic allows it to take place in outer join scenarios. This means that rows which can never satisfy the join condition won't clog up the state.

## How was this patch tested?
new unit tests

Author: Jose Torres <jose@databricks.com>

Closes #19452 from joseph-torres/SPARK-22136.
2017-10-17 12:26:53 -07:00
..
catalyst [SPARK-22238] Fix plan resolution bug caused by EnsureStatefulOpPartitioning 2017-10-14 17:39:15 -07:00
core [SPARK-22136][SS] Evaluate one-sided conditions early in stream-stream joins. 2017-10-17 12:26:53 -07:00
hive [SPARK-22280][SQL][TEST] Improve StatisticsSuite to test convertMetastore properly 2017-10-16 16:16:34 -07:00
hive-thriftserver [SPARK-22087][SPARK-14650][WIP][BUILD][REPL][CORE] Compile Spark REPL for Scala 2.12 + other 2.12 fixes 2017-09-24 09:40:13 +01:00
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.