spark-instrumented-optimizer/sql
Yuming Wang 51379b731d [SPARK-28020][SQL][TEST] Port date.sql
## What changes were proposed in this pull request?

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

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

When porting the test cases, found four PostgreSQL specific features that do not exist in Spark SQL:

[SPARK-28017](https://issues.apache.org/jira/browse/SPARK-28017): Enhance EXTRACT/DATE_TRUNC
[SPARK-28141](https://issues.apache.org/jira/browse/SPARK-28141): Date type can not accept special values
[SPARK-28253](https://issues.apache.org/jira/browse/SPARK-28253):  Date type have different low value and high value
[SPARK-28259](https://issues.apache.org/jira/browse/SPARK-28259): Date/Time Output Styles and Date Order Conventions

Also, found a bug:
[SPARK-28015](https://issues.apache.org/jira/browse/SPARK-28015): Invalid date formats should throw an exception

Also, found a inconsistent behavior:
[SPARK-27923](https://issues.apache.org/jira/browse/SPARK-27923): Invalid date throw an exception bug Spark SQL returns `NULL`, for example: 30bcebbdcf/src/test/regress/expected/date.out (L13-L14)

## How was this patch tested?

N/A

Closes #24850 from wangyum/SPARK-28020.

Authored-by: Yuming Wang <yumwang@ebay.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
2019-07-05 18:30:25 -07:00
..
catalyst [SPARK-28093][SQL][FOLLOW-UP] Update trim function behavior changes to migration guide 2019-07-05 17:55:54 -07:00
core [SPARK-28020][SQL][TEST] Port date.sql 2019-07-05 18:30:25 -07:00
hive [SPARK-28216][SQL][TEST] Add getLocalDirSize to SQLTestUtils 2019-07-03 12:48:19 -07:00
hive-thriftserver [SPARK-28241][SQL] Show metadata operations on ThriftServerTab 2019-07-05 12:24:50 +02:00
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.