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Wenchen Fan dc5ebc2d5b
[SPARK-31171][SQL] size(null) should return null under ansi mode 
### What changes were proposed in this pull request?

Make `size(null)` return null under ANSI mode, regardless of the `spark.sql.legacy.sizeOfNull` config.

### Why are the changes needed?

In https://github.com/apache/spark/pull/27834, we change the result of `size(null)` to be -1 to match the 2.4 behavior and avoid breaking changes.

However, it's true that the "return -1" behavior is error-prone when being used with aggregate functions. The current ANSI mode controls a bunch of "better behaviors" like failing on overflow. We don't enable these "better behaviors" by default because they are too breaking. The "return null" behavior of `size(null)` is a good fit of the ANSI mode.

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

No as ANSI mode is off by default.

### How was this patch tested?

new tests

Closes #27936 from cloud-fan/null.

Authored-by: Wenchen Fan <wenchen@databricks.com>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
2020-03-17 11:48:54 -07:00
..
catalyst [SPARK-31171][SQL] size(null) should return null under ansi mode 2020-03-17 11:48:54 -07:00
core [SPARK-31171][SQL] size(null) should return null under ansi mode 2020-03-17 11:48:54 -07:00
hive [SPARK-31170][SQL] Spark SQL Cli should respect hive-site.xml and spark.sql.warehouse.dir 2020-03-17 23:03:18 +08:00
hive-thriftserver [SPARK-31170][SQL] Spark SQL Cli should respect hive-site.xml and spark.sql.warehouse.dir 2020-03-17 23:03:18 +08:00
create-docs.sh [SPARK-30510][SQL][DOCS] Publicly document Spark SQL configuration options 2020-02-09 19:20:47 +09:00
gen-sql-api-docs.py [SPARK-30510][SQL][DOCS] Publicly document Spark SQL configuration options 2020-02-09 19:20:47 +09:00
gen-sql-config-docs.py [SPARK-30840][CORE][SQL] Add version property for ConfigEntry and ConfigBuilder 2020-02-22 09:46:42 +09:00
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.