ODIn/spark-instrumented-optimizer
1
0
Fork 0
Code Issues Pull requests Projects Releases Wiki Activity
spark-instrumented-optimizer/sql
History
Gengliang Wang 733e85f1f4 [SPARK-35953][SQL] Support extracting date fields from timestamp without time zone 
### What changes were proposed in this pull request?

Support extracting date fields from timestamp without time zone, which includes:
- year
- month
- day
- year of week
- week
- day of week
- quarter
- day of month
- day of year

### Why are the changes needed?

Support basic operations for the new timestamp type.

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

No, the timestamp without time zone type is not released yet.

### How was this patch tested?

Unit tests

Closes #33156 from gengliangwang/dateField.

Authored-by: Gengliang Wang <gengliang@apache.org>
Signed-off-by: Gengliang Wang <gengliang@apache.org>
2021-07-01 00:44:48 +08:00
..
catalyst [SPARK-35953][SQL] Support extracting date fields from timestamp without time zone 2021-07-01 00:44:48 +08:00
core [SPARK-35953][SQL] Support extracting date fields from timestamp without time zone 2021-07-01 00:44:48 +08:00
hive [SPARK-35747][CORE] Avoid printing full Exception stack trace, if Hbase/Kafka/Hive services are not running in a secure cluster 2021-06-23 23:12:02 -07:00
hive-thriftserver [SPARK-34920][CORE][SQL] Add error classes with SQLSTATE 2021-06-30 09:22:02 +00:00
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.