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Gengliang Wang eaf92bea99 [SPARK-36499][SQL][TESTS] Test Interval multiply / divide null 
### What changes were proposed in this pull request?

Test the following valid operations:
```
year-month interval * null
null * year-month interval
year-month interval / null
```
and invalid operations:
```
null / interval
int / interval
```

### Why are the changes needed?

Improve test coverage

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

No

### How was this patch tested?

Pass CI

Closes #33729 from gengliangwang/addTest.

Authored-by: Gengliang Wang <gengliang@apache.org>
Signed-off-by: Max Gekk <max.gekk@gmail.com>
(cherry picked from commit eb6be7f1ee)
Signed-off-by: Max Gekk <max.gekk@gmail.com>
2021-08-13 11:06:09 +03:00
..
catalyst [SPARK-36428][SQL] the seconds parameter of make_timestamp should accept integer type 2021-08-13 13:13:15 +08:00
core [SPARK-36499][SQL][TESTS] Test Interval multiply / divide null 2021-08-13 11:06:09 +03:00
hive [SPARK-36421][SQL][DOCS] Use ConfigEntry.key to fix docs and set command results 2021-08-06 11:01:54 +09:00
hive-thriftserver [SPARK-36409][SQL][TESTS] Splitting test cases from datetime.sql 2021-08-06 12:55:31 +08:00
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.