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Ryan Blue 155ab6347e [SPARK-22170][SQL] Reduce memory consumption in broadcast joins. 
## What changes were proposed in this pull request?

This updates the broadcast join code path to lazily decompress pages and
iterate through UnsafeRows to prevent all rows from being held in memory
while the broadcast table is being built.

## How was this patch tested?

Existing tests.

Author: Ryan Blue <blue@apache.org>

Closes #19394 from rdblue/broadcast-driver-memory.
2017-10-09 15:22:41 -07:00
..
catalyst [SPARK-22170][SQL] Reduce memory consumption in broadcast joins. 2017-10-09 15:22:41 -07:00
core [SPARK-22170][SQL] Reduce memory consumption in broadcast joins. 2017-10-09 15:22:41 -07:00
hive [SPARK-22214][SQL] Refactor the list hive partitions code 2017-10-06 12:53:35 -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.