ODIn/spark-instrumented-optimizer
1
0
Fork 0
Code Issues Pull requests Projects Releases Wiki Activity
spark-instrumented-optimizer/sql
History
yangjie01 1ccb06ca8c Revert "[SPARK-34309][BUILD][CORE][SQL][K8S] Use Caffeine instead of Guava Cache" 
### What changes were proposed in this pull request?
This pr revert the change of SPARK-34309, includes:

- https://github.com/apache/spark/pull/31517
- https://github.com/apache/spark/pull/33772

### Why are the changes needed?

1. No really performance improvement in Spark
2. Added an additional dependency

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Pass the Jenkins or GitHub Action

Closes #33784 from LuciferYang/revert-caffeine.

Authored-by: yangjie01 <yangjie01@baidu.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
2021-08-22 09:36:15 +09:00
..
catalyst Revert "[SPARK-34309][BUILD][CORE][SQL][K8S] Use Caffeine instead of Guava Cache" 2021-08-22 09:36:15 +09:00
core Revert "[SPARK-34309][BUILD][CORE][SQL][K8S] Use Caffeine instead of Guava Cache" 2021-08-22 09:36:15 +09:00
hive [SPARK-36524][SQL] Common class for ANSI interval types 2021-08-17 12:27:56 +03:00
hive-thriftserver [SPARK-36512][UI][TESTS] Fix UISeleniumSuite in sql/hive-thriftserver 2021-08-19 13:27:58 +08:00
create-docs.sh [SPARK-34010][SQL][DODCS] Use python3 instead of python in SQL documentation build 2021-01-05 19:48:10 +09:00
gen-sql-api-docs.py [SPARK-34747][SQL][DOCS] Add virtual operators to the built-in function document 2021-03-19 10:19:26 +09:00
gen-sql-config-docs.py [SPARK-32194][PYTHON] Use proper exception classes instead of plain Exception 2021-05-26 11:54:40 +09:00
gen-sql-functions-docs.py [SPARK-31562][SQL] Update ExpressionDescription for substring, current_date, and current_timestamp 2020-04-26 11:46:52 -07:00
mkdocs.yml [SPARK-30731] Update deprecated Mkdocs option 2020-02-19 17:28:58 +09:00
README.md [SPARK-30510][SQL][DOCS] Publicly document Spark SQL configuration options 2020-02-09 19:20:47 +09:00

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 extensions that allow 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, and SQL configuration documentation that gets included as part of configuration.md in the main docs directory.