942a057934
### What changes were proposed in this pull request? This PR ports groupingsets.sql from PostgreSQL regression tests https://github.com/postgres/postgres/blob/REL_12_STABLE/src/test/regress/sql/groupingsets.sql The expected results can be found in the link: https://github.com/postgres/postgres/blob/REL_12_STABLE/src/test/regress/expected/groupingsets.out ### Why are the changes needed? To check behaviour differences between Spark and PostgreSQL ### Does this PR introduce any user-facing change? No ### How was this patch tested? Pass the Jenkins. And, Comparison with PgSQL results Closes #26352 from maropu/GgroupingSets. Authored-by: Takeshi Yamamuro <yamamuro@apache.org> Signed-off-by: Dongjoon Hyun <dhyun@apple.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 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.