kilik52 / extract-mongo-schema

Extract schema from Mongo database, including foreign keys

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Extract Mongo Schema

Extract (and visualize) schema from Mongo database, including foreign keys. Output is simple json file or html with dagre/d3.js diagram (depending on command line options).

Installation

npm -g install extract-mongo-schema

Usage

Usage:
	extract-mongo-schema -d connection_string -o schema.json -f json
		-d, --database			Database connection string. Example: "mongodb://localhost:3001/meteor".
		-o, --output			Output file
		-f, --format			Output file format. Can be "json" or "html-diagram". Default is "json".
		-c, --collection		Comma separated list of collections to analyze. Example: "collection1,collection2".
		-a, --array			Comma separated list of types of arrays to analyze. Example: "Uint8Array,ArrayBuffer,Array".
		-r, --raw			Shows the exact list of types with frequency instead of the most frequent type only.
		-l, --limit			Number of records to parse to get the schema, default is 100.
		-n, --dont-follow-fk		Don't follow specified foreign key. Can be simply "fieldName" (all collections) or "collectionName:fieldName" (only for given collection).

Example usage

Extract schema into json

extract-mongo-schema -d "mongodb://localhost:3001/meteor" -o schema.json

Extract schema into html

extract-mongo-schema -d "mongodb://localhost:3001/meteor" -o schema.html -f html-diagram

Extract specific collections in raw format and analyze Array items

extract-mongo-schema -d "mongodb://localhost:3001/meteor" -o schema.json -c "collection1,collection2,collection3" -a "Array" -r

Open html in your browser and you'll see rendered ER diagram.

Ignore some foreign keys

Use -n switch to prevent detecting and drawing links for specified fields. You can specify simply fieldName (that applies to all collections) or collectionName:fieldName (foreign key is ignored only in given collection).

Example:

extract-mongo-schema -d "mongodb://localhost:3001/meteor" -o schema.html -f html-diagram -n createdBy -n users:modifiedBy

(in this example: any foreign key named "createdBy" will be ignored. Also "modifiedBy" but only in users collection)

Example output .html (screenshot)

Alt text

Example output .json

schema.json

{
	"customers": {
		"_id": {
			"primaryKey": true,
			"type": "string",
			"required": true
		},
		"name": {
			"type": "string",
			"required": true
		},
		"phone": {
			"type": "string",
			"required": true
		},
		"email": {
			"type": "string",
			"required": true
		},
		"note": {
			"type": "string",
			"required": true
		},
		"createdAt": {
			"type": "Date",
			"required": true
		},
		"createdBy": {
			"key": true,
			"type": "string",
			"required": true
		},
		"modifiedAt": {
			"type": "Date",
			"required": true
		},
		"modifiedBy": {
			"key": true,
			"type": "string",
			"required": true
		},
		"ownerId": {
			"key": true,
			"type": "string",
			"required": true
		}
	},
	"invoices": {
		"_id": {
			"primaryKey": true,
			"type": "string",
			"required": true
		},
		"invoiceNumber": {
			"type": "string",
			"required": true
		},
		"date": {
			"type": "Date",
			"required": true
		},
		"customerId": {
			"foreignKey": true,
			"references": "customers",
			"key": true,
			"type": "string",
			"required": true
		},
		"createdAt": {
			"type": "Date",
			"required": true
		},
		"createdBy": {
			"key": true,
			"type": "string",
			"required": true
		},
		"modifiedAt": {
			"type": "Date",
			"required": true
		},
		"modifiedBy": {
			"key": true,
			"type": "string",
			"required": true
		},
		"ownerId": {
			"key": true,
			"type": "string",
			"required": true
		},
		"totalAmount": {
			"type": "number",
			"required": true
		}
	},
	"users": {
		"_id": {
			"primaryKey": true,
			"type": "string",
			"required": true
		},
		"createdAt": {
			"type": "Date",
			"required": true
		},
		"services": {
			"type": "Object",
			"structure": {
				"password": {
					"type": "Object",
					"structure": {
						"bcrypt": {
							"type": "string",
							"required": true
						}
					},
					"required": true
				},
				"resume": {
					"type": "Object",
					"structure": {
						"loginTokens": {
							"type": "Array",
							"required": true
						}
					},
					"required": true
				}
			},
			"required": true
		},
		"emails": {
			"type": "Array",
			"required": true
		},
		"roles": {
			"type": "Array",
			"required": true
		},
		"profile": {
			"type": "Object",
			"structure": {
				"name": {
					"type": "string",
					"required": true
				},
				"email": {
					"type": "string",
					"required": true
				},
				"facebook": {
					"type": "string",
					"required": true
				},
				"google": {
					"type": "string",
					"required": true
				},
				"twitter": {
					"type": "string",
					"required": true
				},
				"website": {
					"type": "string",
					"required": true
				}
			},
			"required": true
		}
	},
	"meteor_accounts_loginServiceConfiguration": {},
	"invoice_items": {
		"_id": {
			"primaryKey": true,
			"type": "string",
			"required": true
		},
		"description": {
			"type": "string",
			"required": true
		},
		"quantity": {
			"type": "number",
			"required": true
		},
		"price": {
			"type": "number",
			"required": true
		},
		"invoiceId": {
			"key": true,
			"foreignKey": true,
			"references": "invoices",
			"type": "string",
			"required": true
		},
		"createdAt": {
			"type": "Date",
			"required": true
		},
		"createdBy": {
			"key": true,
			"foreignKey": true,
			"references": "users",
			"type": "string",
			"required": true
		},
		"modifiedAt": {
			"type": "Date",
			"required": true
		},
		"modifiedBy": {
			"key": true,
			"foreignKey": true,
			"references": "users",
			"type": "string",
			"required": true
		},
		"ownerId": {
			"key": true,
			"foreignKey": true,
			"references": "users",
			"type": "string",
			"required": true
		},
		"amount": {
			"type": "number",
			"required": true
		}
	}
}

That's all folks. Enjoy! :)

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Extract schema from Mongo database, including foreign keys


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