spark-instrumented-optimizer/sql
Kousuke Saruta aab0c2bf66 [SPARK-35736][SPARK-35737][SQL][FOLLOWUP] Move a common logic to DayTimeIntervalType
### What changes were proposed in this pull request?

This is a followup PR for SPARK-35736(#32893) and SPARK-35737(#32892).
This PR moves a common logic to `object DayTimeIntervalType`.
That logic is like `val strToFieldIndex = DayTimeIntervalType.dayTimeFields.map(i => DayTimeIntervalType.fieldToString(i) -> (i).toMap`, a `Map` which maps each time unit to the corresponding day-time field index.

### Why are the changes needed?

That logic appeared in the change in SPARK-35736 and SPARK-35737 so it can be a common logic and it's better to avoid the similar logic scattered.

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

No.

### How was this patch tested?

Existing tests.

Closes #32905 from sarutak/followup-SPARK-35736-35737.

Authored-by: Kousuke Saruta <sarutak@oss.nttdata.com>
Signed-off-by: Max Gekk <max.gekk@gmail.com>
2021-06-14 20:51:18 +03:00
..
catalyst [SPARK-35736][SPARK-35737][SQL][FOLLOWUP] Move a common logic to DayTimeIntervalType 2021-06-14 20:51:18 +03:00
core [SPARK-35737][SQL] Parse day-time interval literals to tightest types 2021-06-14 10:06:19 +03:00
hive [SPARK-35321][SQL] Don't register Hive permanent functions when creating Hive client 2021-06-12 10:32:30 +08:00
hive-thriftserver [SPARK-35704][SQL] Add fields to DayTimeIntervalType 2021-06-11 16:16:33 +03:00
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

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.