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Gengliang Wang 8a52ad9f82 [SPARK-36606][DOCS][TESTS] Enhance the docs and tests of try_add/try_divide 
### What changes were proposed in this pull request?

The `try_add` function allows the following inputs:
- number, number
- date, number
- date, interval
- timestamp, interval
- interval, interval

And, the `try_divide` function allows the following inputs:

- number, number
- interval, number

However, in the current code, there are only examples and tests about the (number, number) inputs. We should enhance the docs to let users know that the functions can be used for datetime and interval operations too.

### Why are the changes needed?

Improve documentation and tests.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

New UT
Also build docs for preview:
![image](https://user-images.githubusercontent.com/1097932/131212897-8aea14c8-a882-4e12-94e2-f56bde7c0367.png)

Closes #33861 from gengliangwang/enhanceTryDoc.

Authored-by: Gengliang Wang <gengliang@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
2021-08-29 10:30:04 +09:00
..
catalyst [SPARK-36606][DOCS][TESTS] Enhance the docs and tests of try_add/try_divide 2021-08-29 10:30:04 +09:00
core [SPARK-36606][DOCS][TESTS] Enhance the docs and tests of try_add/try_divide 2021-08-29 10:30:04 +09:00
hive [SPARK-36327][SQL] Spark sql creates staging dir inside database directory rather than creating inside table directory 2021-08-27 12:58:28 -07:00
hive-thriftserver [SPARK-36398][SQL] Redact sensitive information in Spark Thrift Server log 2021-08-25 21:30:43 +09:00
create-docs.sh [SPARK-34010][SQL][DODCS] Use python3 instead of python in SQL documentation build 2021-01-05 19:48:10 +09:00
gen-sql-api-docs.py [SPARK-34747][SQL][DOCS] Add virtual operators to the built-in function document 2021-03-19 10:19:26 +09:00
gen-sql-config-docs.py [SPARK-32194][PYTHON] Use proper exception classes instead of plain Exception 2021-05-26 11:54:40 +09:00
gen-sql-functions-docs.py
mkdocs.yml
README.md

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, and SQL configuration documentation that gets included as part of configuration.md in the main docs directory.