spark-instrumented-optimizer/sql
Gengliang Wang a313082d67 [SPARK-35535][SQL][FOLLOWUP] Move LocalScan to Catalyst package
### What changes were proposed in this pull request?

This is a follow-up of https://github.com/apache/spark/pull/32678. It moves `LocalScan` from SQL core package to Catalyst package.

### Why are the changes needed?

There are two packages for `org.apache.spark.sql.connector`
SQL Core: https://github.com/apache/spark/tree/master/sql/core/src/main/java/org/apache/spark/sql/connector
Catalyst: https://github.com/apache/spark/tree/master/sql/catalyst/src/main/java/org/apache/spark/sql/connector

As `LocalScan` doesn't depend on the classes of SQL Core, we should move it to catalyst.
### Does this PR introduce _any_ user-facing change?

No, the trait is not released yet.

### How was this patch tested?

Existing UT.

Closes #33826 from gengliangwang/moveLocalScan.

Authored-by: Gengliang Wang <gengliang@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
(cherry picked from commit 5b4c216478)
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
2021-08-24 13:24:06 -07:00
..
catalyst [SPARK-35535][SQL][FOLLOWUP] Move LocalScan to Catalyst package 2021-08-24 13:24:06 -07:00
core [SPARK-35535][SQL][FOLLOWUP] Move LocalScan to Catalyst package 2021-08-24 13:24:06 -07:00
hive [SPARK-36552][SQL] Fix different behavior for writing char/varchar to hive and datasource table 2021-08-22 09:38:54 +09:00
hive-thriftserver Preparing development version 3.2.1-SNAPSHOT 2021-08-20 12:40:47 +00:00
create-docs.sh [SPARK-34010][SQL][DODCS] Use python3 instead of python in SQL documentation build 2021-01-05 19:48:10 +09:00
gen-sql-api-docs.py [SPARK-34747][SQL][DOCS] Add virtual operators to the built-in function document 2021-03-19 10:19:26 +09:00
gen-sql-config-docs.py [SPARK-32194][PYTHON] Use proper exception classes instead of plain Exception 2021-05-26 11:54:40 +09:00
gen-sql-functions-docs.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 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.