1597d8fcd4
### What changes were proposed in this pull request? This PR is related to https://github.com/apache/spark/pull/26656. https://github.com/apache/spark/pull/26656 only support use FILTER clause on aggregate expression without DISTINCT. This PR will enhance this feature when one or more DISTINCT aggregate expressions which allows the use of the FILTER clause. Such as: ``` select sum(distinct id) filter (where sex = 'man') from student; select class_id, sum(distinct id) filter (where sex = 'man') from student group by class_id; select count(id) filter (where class_id = 1), sum(distinct id) filter (where sex = 'man') from student; select class_id, count(id) filter (where class_id = 1), sum(distinct id) filter (where sex = 'man') from student group by class_id; select sum(distinct id), sum(distinct id) filter (where sex = 'man') from student; select class_id, sum(distinct id), sum(distinct id) filter (where sex = 'man') from student group by class_id; select class_id, count(id), count(id) filter (where class_id = 1), sum(distinct id), sum(distinct id) filter (where sex = 'man') from student group by class_id; ``` ### Why are the changes needed? Spark SQL only support use FILTER clause on aggregate expression without DISTINCT. This PR support Filter expression allows simultaneous use of DISTINCT ### Does this PR introduce _any_ user-facing change? Yes ### How was this patch tested? Exists and new UT Closes #29291 from beliefer/support-distinct-with-filter. Lead-authored-by: gengjiaan <gengjiaan@360.cn> Co-authored-by: beliefer <beliefer@163.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.