b22d54a58a
### What changes were proposed in this pull request? PG and Oracle both support use CUBE/ROLLUP/GROUPING SETS in GROUPING SETS's grouping set as a sugar syntax. ![image](https://user-images.githubusercontent.com/46485123/114975588-139a1180-9eb7-11eb-8f53-498c1db934e0.png) In this PR, we support it in Spark SQL too ### Why are the changes needed? Keep consistent with PG and oracle ### Does this PR introduce _any_ user-facing change? User can write grouping analytics like ``` SELECT a, b, count(1) FROM testData GROUP BY a, GROUPING SETS(ROLLUP(a, b)); SELECT a, b, count(1) FROM testData GROUP BY a, GROUPING SETS((a, b), (a), ()); SELECT a, b, count(1) FROM testData GROUP BY a, GROUPING SETS(GROUPING SETS((a, b), (a), ())); ``` ### How was this patch tested? Added Test Closes #32201 from AngersZhuuuu/SPARK-35026. Authored-by: Angerszhuuuu <angers.zhu@gmail.com> Signed-off-by: Wenchen Fan <wenchen@databricks.com> |
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.. | ||
catalyst | ||
core | ||
hive | ||
hive-thriftserver | ||
create-docs.sh | ||
gen-sql-api-docs.py | ||
gen-sql-config-docs.py | ||
gen-sql-functions-docs.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 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.