51379b731d
## 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:
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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 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
.