spark-instrumented-optimizer/sql
Takeshi Yamamuro 92706e6576
[SPARK-26747][SQL] Makes GetMapValue nullability more precise
## What changes were proposed in this pull request?
In master, `GetMapValue` nullable is always true;
cf133e6110/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/complexTypeExtractors.scala (L371)

But, If input key is foldable, we could make its nullability more precise.
This fix is the same with SPARK-26637(#23566).

## How was this patch tested?
Added tests in `ComplexTypeSuite`.

Closes #23669 from maropu/SPARK-26747.

Authored-by: Takeshi Yamamuro <yamamuro@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
2019-01-28 13:39:50 -08:00
..
catalyst [SPARK-26747][SQL] Makes GetMapValue nullability more precise 2019-01-28 13:39:50 -08:00
core [SPARK-26656][SQL] Benchmarks for date and timestamp functions 2019-01-28 14:21:21 +01:00
hive [SPARK-26716][SQL] FileFormat: the supported types of read/write should be consistent 2019-01-27 10:11:42 -08:00
hive-thriftserver [SPARK-26254][CORE] Extract Hive + Kafka dependencies from Core. 2019-01-25 10:36:00 -08:00
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-21485][FOLLOWUP][SQL][DOCS] Describes examples and arguments separately, and note/since in SQL built-in function documentation 2017-08-05 10:10:56 -07:00
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

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.