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Maxim Gekk 1470f23ec9 [SPARK-27422][SQL] current_date() should return current date in the session time zone 
## What changes were proposed in this pull request?

In the PR, I propose to revert 2 commits 06abd06112 and 61561c1c2d, and take current date via `LocalDate.now` in the session time zone. The result is stored as days since epoch `1970-01-01`.

## How was this patch tested?

It was tested by `DateExpressionsSuite`, `DateFunctionsSuite`, `DateTimeUtilsSuite`, and `ComputeCurrentTimeSuite`.

Closes #24330 from MaxGekk/current-date2.

Lead-authored-by: Maxim Gekk <max.gekk@gmail.com>
Co-authored-by: Maxim Gekk <maxim.gekk@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2019-04-10 21:54:50 +08:00
..
catalyst [SPARK-27422][SQL] current_date() should return current date in the session time zone 2019-04-10 21:54:50 +08:00
core [SPARK-27422][SQL] current_date() should return current date in the session time zone 2019-04-10 21:54:50 +08:00
hive [SPARK-27271][SQL] Migrate Text to File Data Source V2 2019-04-08 10:15:22 -07:00
hive-thriftserver [SPARK-26992][STS] Fix STS scheduler pool correct delivery 2019-04-06 17:14:29 -05:00
create-docs.sh [MINOR][DOCS] Minor doc fixes related with doc build and uses script dir in SQL doc gen script 2017-08-26 13:56:24 +09:00
gen-sql-markdown.py [SPARK-27328][SQL] Add 'deprecated' in ExpressionDescription for extended usage and SQL doc 2019-04-09 13:49:42 +08:00
mkdocs.yml [SPARK-21485][SQL][DOCS] Spark SQL documentation generation for built-in functions 2017-07-26 09:38:51 -07:00
README.md [MINOR][DOC] Fix some typos and grammar issues 2018-04-06 13:37:08 +08:00

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 an extension of SQLContext called HiveContext that allows 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.