spark-instrumented-optimizer/sql
Kazuaki Ishizaki e319ac92e5 [SPARK-24962][SQL] Refactor CodeGenerator.createUnsafeArray, ArraySetLike, and ArrayDistinct
## What changes were proposed in this pull request?

This PR integrates handling of `UnsafeArrayData` and `GenericArrayData` into one. The current `CodeGenerator.createUnsafeArray` handles only allocation of `UnsafeArrayData`.
This PR introduces a new method `createArrayData` that returns a code to allocate `UnsafeArrayData` or `GenericArrayData` and to assign a value into the allocated array.

This PR also reduce the size of generated code by calling a runtime helper.

This PR replaced `createArrayData` with `createUnsafeArray`. This PR also refactor `ArraySetLike` that can be used for `ArrayDistinct`, too.
This PR also refactors`ArrayDistinct` to use `ArraryBuilder`.

## How was this patch tested?

Existing tests

Closes #21912 from kiszk/SPARK-24962.

Lead-authored-by: Kazuaki Ishizaki <ishizaki@jp.ibm.com>
Co-authored-by: Takuya UESHIN <ueshin@happy-camper.st>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2018-09-04 15:26:34 +08:00
..
catalyst [SPARK-24962][SQL] Refactor CodeGenerator.createUnsafeArray, ArraySetLike, and ArrayDistinct 2018-09-04 15:26:34 +08:00
core [SPARK-25296][SQL][TEST] Create ExplainSuite 2018-08-31 08:47:20 -07:00
hive [SPARK-25304][SPARK-8489][SQL][TEST] Fix HiveSparkSubmitSuite test for Scala 2.12 2018-09-02 21:57:06 -05:00
hive-thriftserver [SPARK-25183][SQL] Spark HiveServer2 to use Spark ShutdownHookManager 2018-08-31 14:45:29 +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.