e319ac92e5
## 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> |
||
---|---|---|
.. | ||
catalyst | ||
core | ||
hive | ||
hive-thriftserver | ||
create-docs.sh | ||
gen-sql-markdown.py | ||
mkdocs.yml | ||
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
.