spark-instrumented-optimizer/sql
Wang Gengliang 56ae32657e [SPARK-23268][SQL] Reorganize packages in data source V2
## What changes were proposed in this pull request?
1. create a new package for partitioning/distribution related classes.
    As Spark will add new concrete implementations of `Distribution` in new releases, it is good to
    have a new package for partitioning/distribution related classes.

2. move streaming related class to package `org.apache.spark.sql.sources.v2.reader/writer.streaming`, instead of `org.apache.spark.sql.sources.v2.streaming.reader/writer`.
So that the there won't be package reader/writer inside package streaming, which is quite confusing.
Before change:
```
v2
├── reader
├── streaming
│   ├── reader
│   └── writer
└── writer
```

After change:
```
v2
├── reader
│   └── streaming
└── writer
    └── streaming
```
## How was this patch tested?
Unit test.

Author: Wang Gengliang <ltnwgl@gmail.com>

Closes #20435 from gengliangwang/new_pkg.
2018-01-31 20:33:51 -08:00
..
catalyst [SPARK-23281][SQL] Query produces results in incorrect order when a composite order by clause refers to both original columns and aliases 2018-01-31 13:52:47 -08:00
core [SPARK-23268][SQL] Reorganize packages in data source V2 2018-01-31 20:33:51 -08:00
hive [SPARK-23276][SQL][TEST] Enable UDT tests in (Hive)OrcHadoopFsRelationSuite 2018-01-30 17:14:17 -08:00
hive-thriftserver [SPARK-22837][SQL] Session timeout checker does not work in SessionManager. 2018-01-24 10:07:24 -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 [SPARK-21485][SQL][DOCS] Spark SQL documentation generation for built-in functions 2017-07-26 09:38:51 -07:00

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 allows 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.