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Gengliang Wang 3029e62a82 [SPARK-36445][SQL] ANSI type coercion rule for date time operations 
### What changes were proposed in this pull request?

Implement a new rule for the date-time operations in the ANSI type coercion system:
1. Date will be converted to Timestamp when it is in the subtraction with Timestmap.
2. Promote string literals in date_add/date_sub/time_add

### Why are the changes needed?

Currently the type coercion rule `DateTimeOperations` doesn't match the design of the ANSI type coercion system:
1. For date_add/date_sub, if the input is timestamp type, Spark should not convert it into date type since date type is narrower than the timestamp type.
2. For date_add/date_sub/time_add, string value can be implicit cast to date/timestamp only when it is literal.

Thus, we need to have a new rule for the date-time operations in the ANSI type coercion system.

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

No, the ANSI type coercion rules are not releaesd.

### How was this patch tested?

New UT

Closes #33666 from gengliangwang/datetimeOp.

Authored-by: Gengliang Wang <gengliang@apache.org>
Signed-off-by: Gengliang Wang <gengliang@apache.org>
2021-08-11 11:55:45 +08:00
..
catalyst [SPARK-36445][SQL] ANSI type coercion rule for date time operations 2021-08-11 11:55:45 +08:00
core [SPARK-36445][SQL] ANSI type coercion rule for date time operations 2021-08-11 11:55:45 +08:00
hive [SPARK-36421][SQL][DOCS] Use ConfigEntry.key to fix docs and set command results 2021-08-06 11:01:47 +09:00
hive-thriftserver [SPARK-36410][CORE][SQL][STRUCTURED STREAMING][EXAMPLES] Replace anonymous classes with lambda expressions 2021-08-09 19:28:31 +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 [SPARK-31562][SQL] Update ExpressionDescription for substring, current_date, and current_timestamp 2020-04-26 11:46:52 -07:00
mkdocs.yml [SPARK-30731] Update deprecated Mkdocs option 2020-02-19 17:28:58 +09:00
README.md [SPARK-30510][SQL][DOCS] Publicly document Spark SQL configuration options 2020-02-09 19:20:47 +09:00

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