spark-instrumented-optimizer/sql
DylanGuedes 81915dacc4 [SPARK-29107][SQL][TESTS] Port window.sql (Part 1)
### What changes were proposed in this pull request?

This PR ports window.sql from PostgreSQL regression tests https://github.com/postgres/postgres/blob/REL_12_BETA2/src/test/regress/sql/window.sql from lines 1~319

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

## How was this patch tested?
Pass the Jenkins.

### Why are the changes needed?
To ensure compatibility with PGSQL

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

### How was this patch tested?
Comparison with PgSQL results.

Closes #25816 from DylanGuedes/spark-29107.

Authored-by: DylanGuedes <djmgguedes@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
2019-10-14 10:17:16 -07:00
..
catalyst [SPARK-29369][SQL] Support string intervals without the interval prefix 2019-10-14 23:34:18 +08:00
core [SPARK-29107][SQL][TESTS] Port window.sql (Part 1) 2019-10-14 10:17:16 -07:00
hive [SPARK-27831][FOLLOWUP][SQL][TEST] ADDITIONAL_REMOTE_REPOSITORIES is a comma-delimited string 2019-10-12 18:47:28 -07:00
hive-thriftserver [SPARK-26321][SQL] Port HIVE-15297: Hive should not split semicolon within quoted string literals 2019-10-12 22:21:14 -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 [SPARK-28980][CORE][SQL][STREAMING][MLLIB] Remove most items deprecated in Spark 2.2.0 or earlier, for Spark 3 2019-09-09 10:19:40 -05:00

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 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.