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Kent Yao ae6b711b26 [SPARK-29941][SQL] Add ansi type aliases for char and decimal 
### What changes were proposed in this pull request?

Checked with SQL Standard and PostgreSQL

> CHAR is equivalent to CHARACTER. DEC is equivalent to DECIMAL. INT is equivalent to INTEGER. VARCHAR is equivalent to CHARACTER VARYING. ...

```sql
postgres=# select dec '1.0';
numeric
---------
1.0
(1 row)

postgres=# select CHARACTER '. second';
  bpchar
----------
 . second
(1 row)

postgres=# select CHAR '. second';
  bpchar
----------
 . second
(1 row)
```

### Why are the changes needed?

For better ansi support
### Does this PR introduce any user-facing change?

yes, we add character as char and dec as decimal

### How was this patch tested?

add ut

Closes #26574 from yaooqinn/SPARK-29941.

Authored-by: Kent Yao <yaooqinn@hotmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2019-11-18 23:30:31 +08:00
..
catalyst [SPARK-29941][SQL] Add ansi type aliases for char and decimal 2019-11-18 23:30:31 +08:00
core [SPARK-29859][SQL] ALTER DATABASE (SET LOCATION) should look up catalog like v2 commands 2019-11-18 20:40:23 +08:00
hive [SPARK-29923][SQL][TESTS] Set io.netty.tryReflectionSetAccessible for Arrow on JDK9+ 2019-11-15 23:58:15 -08:00
hive-thriftserver [SPARK-29783][SQL] Support SQL Standard/ISO_8601 output style for interval type 2019-11-18 15:42:22 +08:00
create-docs.sh [MINOR][DOCS] Minor doc fixes related with doc build and uses script dir in SQL doc gen script 2017-08-26 13:56:24 +09:00
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 [SPARK-21485][SQL][DOCS] Spark SQL documentation generation for built-in functions 2017-07-26 09:38:51 -07:00
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

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.