spark-instrumented-optimizer/sql
Yuming Wang 72cc853092 [SPARK-28384][SQL][TEST] Port select_distinct.sql
## What changes were proposed in this pull request?

This PR is to port select.sql from PostgreSQL regression tests. https://github.com/postgres/postgres/blob/REL_12_BETA2/src/test/regress/sql/select_distinct.sql

The expected results can be found in the link: https://github.com/postgres/postgres/blob/REL_12_BETA2/src/test/regress/expected/select_distinct.out

When porting the test cases, found one PostgreSQL specific features that do not exist in Spark SQL:
[SPARK-28010](https://issues.apache.org/jira/browse/SPARK-28010): Support ORDER BY ... USING syntax

## How was this patch tested?

N/A

Closes #25150 from wangyum/SPARK-28384.

Authored-by: Yuming Wang <yumwang@ebay.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
2019-07-14 21:55:11 -07:00
..
catalyst [SPARK-28133][SQL] Add acosh/asinh/atanh functions to SQL 2019-07-14 20:41:45 -07:00
core [SPARK-28384][SQL][TEST] Port select_distinct.sql 2019-07-14 21:55:11 -07:00
hive [SPARK-28257][SQL] Use ConfigEntry for hardcoded configs in SQL 2019-07-11 22:36:07 -07:00
hive-thriftserver [SPARK-28260][SQL] Add CLOSED state to ExecutionState 2019-07-12 10:31:28 -07:00
create-docs.sh
gen-sql-markdown.py [SPARK-27328][SQL] Add 'deprecated' in ExpressionDescription for extended usage and SQL doc 2019-04-09 13:49:42 +08:00
mkdocs.yml
README.md [MINOR][DOC] Fix some typos and grammar issues 2018-04-06 13:37:08 +08:00

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.