dremio-sqllite-connector

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dremio-sqllite-connector

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An Example Dremio ARP driven connector that supports SQLLite

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# Dremio ARP Example Connector

## Overview

The Advanced Relational Pushdown (ARP) Framework allows for the creation of Dremio plugins for any data source which has a JDBC driver and accepts SQL 
as a query language. It allows for a mostly code-free creation of a plugin, allowing for modification of queries issued 
by Dremio using a configuration file.

There are two files that are necessary for creation of an ARP-based plugin: the storage plugin configuration, which 
is code, and the plugin ARP file, which is a YAML (https://yaml.org/) file.

The storage plugin configuration file tells Dremio what the name of the plugin should be, what connection options 
should be displayed in the source UI, what the name of the ARP file is, which JDBC driver to use and how to make a 
connection to the JDBC driver.

The ARP YAML file is what is used to modify the SQL queries that are sent to the JDBC driver, allowing you to specify 
support for different data types and functions, as well as rewrite them if tweaks need to be made for your specific 
data source.

## ARP File Format

The ARP file is broken down into several sections:

**metadata**
- This section outlines some high level metadata about the plugin.

**syntax**
- This section allows for specifying some general syntax items like the identifier quote character.

**data_types**
- This section outlines which data types are supported by the plugin, their names as they appear in the JDBC driver, and how they map to Dremio types.

**relational_algebra** - This section is divided up into a number of other subsections:

- **aggregation**
  - Specify what aggregate functions, such as SUM, MAX, etc, are supported and what signatures they have. You can also specify a rewrite to alter the SQL for how this is issued.
- **except/project/join/sort/union/union_all/values**
  - These sections indicate if the specific operation is supported or not.
- **expressions**
  - This section outlines general operations that are supported. The main sections are:
- **operators**
  - Outlines which scalar functions, such as SIN, SUBSTR, LOWER, etc, are supported, along with the signatures of these functions which are supported. Finally, you can also specify a rewrite to alter the SQL for how this is issued.
- **variable_length_operators**
  - The same as operators, but allows specification of functions which may have a variable number of arguments, such as AND and OR.

If an operation or function is not specified in the ARP file, then Dremio will handle the operation itself. Any operations which are indicated as supported but need to be stacked on operations which are not will not be pushed down to the SQL query.

## SQLite example

The SQLite example provided here shows an example ARP YAML file for SQLite and the associated files require to build a connector
from the template.

## Building and Installation

1. In root directory with the pom.xml file run `mvn clean install`
2. Take the resulting .jar file in the target folder and put it in the \dremio\jars folder in Dremio
3. Take the SQLite JDBC driver from (https://github.com/xerial/sqlite-jdbc) and put in in the \dremio\jars\3rdparty folder
4. Restart Dremio

## Adding a SQLite Source in Dremio

Once the connector has been added, log in to Dremio. Inside Dremio, click on the plus sign to add a new data source, and select SQLite from the list of available sources. In the 'New SQLite Source' window enter a name and the name of a SQLite database to connect to and click Save.

The database name can be found by running the command `.databases` in SQLite which will show a list of all databases in the current connection, for example '/home/sqlite/test.db'.

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