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Dongjoon Hyun 5bdc58bf8a [SPARK-27653][SQL][FOLLOWUP] Fix since version of min_by/max_by 
### What changes were proposed in this pull request?

This is a follow-up of https://github.com/apache/spark/pull/24557 to fix `since` version.

### Why are the changes needed?

This is found during 3.0.0-preview preparation.
The version will be exposed to our SQL document like the following. We had better fix this.
- https://spark.apache.org/docs/latest/api/sql/#array_min

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

Yes. It's exposed at `DESC FUNCTION EXTENDED` SQL command and  SQL doc, but this is new at 3.0.0.

### How was this patch tested?

Manual.
```
spark-sql> DESC FUNCTION EXTENDED min_by;
Function: min_by
Class: org.apache.spark.sql.catalyst.expressions.aggregate.MinBy
Usage: min_by(x, y) - Returns the value of `x` associated with the minimum value of `y`.
Extended Usage:
    Examples:
      > SELECT min_by(x, y) FROM VALUES (('a', 10)), (('b', 50)), (('c', 20)) AS tab(x, y);
       a

    Since: 3.0.0
```

Closes #26264 from dongjoon-hyun/SPARK-27653.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
2019-10-25 21:17:17 -07:00
..
catalyst [SPARK-27653][SQL][FOLLOWUP] Fix since version of min_by/max_by 2019-10-25 21:17:17 -07:00
core [SPARK-29527][SQL] SHOW CREATE TABLE should look up catalog/table like v2 commands 2019-10-25 23:09:08 +08:00
hive [SPARK-29532][SQL] Simplify interval string parsing 2019-10-24 09:15:59 -07:00
hive-thriftserver [SPARK-29559][WEBUI] Support pagination for JDBC/ODBC Server page 2019-10-24 08:29:05 -05:00
create-docs.sh
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
README.md [SPARK-28980][CORE][SQL][STREAMING][MLLIB] Remove most items deprecated in Spark 2.2.0 or earlier, for Spark 3 2019-09-09 10:19:40 -05:00

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.