graph-sql

graph-sql is an SQL storage implementation for graph data structures created with graph.

Usage

0. Get your database up and running

If you don't have a database running, you may spin up a MariaDB container with a graph database to get started quickly.

docker run -e MARIADB_DATABASE=graph -e MARIADB_ROOT_PASSWORD=root -p 3306:3306 mariadb

1. Connect to your database

The first step is to establish a connection to your database server, more specifically to the actual database schema.

For instance, a connection to the MariaDB container from the example above can be established as follows:

package main

import (
	"database/sql"

	_ "github.com/go-sql-driver/mysql"
)

func main() {
	db, err := sql.Open("mysql", "root:root@tcp(localhost:3306)/graph")
	if err != nil {
		panic(err)
	}
}

2. Create a new store

Use the retrieved sql.DB instance to create a new store.

store := graphsql.New[int, int](db, graphsql.DefaultConfig)

The New function has two type parameters. These are the types of the vertex hashes and vertex values, and they have to be the same as for the graph itself. If you're not familiar with graph's hashing system, check out the concept of hashes.

This example uses a sane default configuration provided by this library, but you can configure it to your needs (see Configuration).

3. Set up the table schema

Create all required tables by calling SetupTables. This should only happen once.

if err := store.SetupTables(); err != nil {
	log.Fatal(err)
}

4. Create a graph backed by the store

Finally, the store instance can be passed to graph.NewWithStore, which will create a graph backed by this store.

g := graph.NewWithStore(graph.IntHash, store)

5. Full example

A complete program that utilizes a MariaDB database to store a graph of integers may look like as follows:

package main

import (
	"database/sql"
	"log"

	"github.com/dominikbraun/graph"
	graphsql "github.com/dominikbraun/graph-sql"
	_ "github.com/go-sql-driver/mysql"
)

func main() {
	db, err := sql.Open("mysql", "root:root@tcp(localhost:3306)/graph")
	if err != nil {
		panic(err)
	}

	store := graphsql.New[int, int](db, graphsql.DefaultConfig)

	if err = store.SetupTables(); err != nil {
		log.Fatal(err)
	}

	g := graph.NewWithStore(graph.IntHash, store)

	// This will persist two vertices and an edge in the database.
	_ = g.AddVertex(1)
	_ = g.AddVertex(2)
	_ = g.AddEdge(1, 2)
}

Configuration

The table schema created by graph-sql can be configured using a Config passed to New. You can either use the provided DefaultConfig or create your own one.

Field	Description	Default
`VerticesTable`	The name of the vertices table.	`vertices`
`EdgesTable`	The name of the edges table.	`edges`
`VertexHashType`	The database type of the vertex hashes.	`TEXT`
`VertexValueType`	The database type of the vertex values.*	`JSON`

*Vertex values are stored as JSON by this library.

Table schema

`vertices`

Column	Type	NULL	Key	Extra
`id`	`BIGINT`	No	Primary	`AUTO_INCREMENT`
`hash`	`TEXT`	Yes
`value`	`JSON`	Yes
`weight`	`INT`	Yes
`attributes`	`JSON`	Yes

`edges`

Column	Type	NULL	Key	Extra
`id`	`BIGINT`	No	Primary	`AUTO_INCREMENT`
`source_hash`	`TEXT`	Yes
`target_hash`	`TEXT`	Yes
`weight`	`INT`	Yes
`attributes`	`JSON`	Yes
`data`	`BLOB`	Yes

Graph operations

Check out the graph repository for an overview of built-in graph algorithms and operations.

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README.md

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graph-sql

Usage

0. Get your database up and running

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graph-sql

Usage

0. Get your database up and running