6193a202aa
## What changes were proposed in this pull request? this pr add a configuration parameter to configure the capacity of fast aggregation. Performance comparison: ``` Java HotSpot(TM) 64-Bit Server VM 1.8.0_60-b27 on Windows 7 6.1 Intel64 Family 6 Model 94 Stepping 3, GenuineIntel Aggregate w multiple keys: Best/Avg Time(ms) Rate(M/s) Per Row(ns) Relative ------------------------------------------------------------------------------------------------ fasthash = default 5612 / 5882 3.7 267.6 1.0X fasthash = config 3586 / 3595 5.8 171.0 1.6X ``` ## How was this patch tested? the existed test cases. Closes #21931 from heary-cao/FastHashCapacity. Authored-by: caoxuewen <cao.xuewen@zte.com.cn> Signed-off-by: Wenchen Fan <wenchen@databricks.com> |
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catalyst | ||
core | ||
hive | ||
hive-thriftserver | ||
create-docs.sh | ||
gen-sql-markdown.py | ||
mkdocs.yml | ||
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
.