Load MongoDB Data to a Database Using Embulk

Embulk is an open source bulk data loader. When paired with the CData JDBC Driver for MongoDB, Embulk easily loads data from MongoDB to any supported destination. In this article, we explain how to use the CData JDBC Driver for MongoDB in Embulk to load MongoDB data to a MySQL dtabase.

With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live MongoDB data. When you issue complex SQL queries to MongoDB, the driver pushes supported SQL operations, like filters and aggregations, directly to MongoDB and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations).

Getting Started

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Configure a JDBC Connection to MongoDB Data

Before creating a bulk load job in Embulk, note the installation location for the JAR file for the JDBC Driver (typically C:\Program Files\CData\CData JDBC Driver for MongoDB\lib).

Embulk supports JDBC connectivity, so you can easily connect to MongoDB and execute SQL queries. Before creating a bulk load job, create a JDBC URL for authenticating with MongoDB.

Set the Server, Database, User, and Password connection properties to connect to MongoDB. To access MongoDB collections as tables you can use automatic schema discovery or write your own schema definitions. Schemas are defined in .rsd files, which have a simple format. You can also execute free-form queries that are not tied to the schema.

Built-in Connection String Designer

For assistance in constructing the JDBC URL, use the connection string designer built into the MongoDB JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

java -jar cdata.jdbc.mongodb.jar

Fill in the connection properties and copy the connection string to the clipboard.

👁 Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)

Below is a typical JDBC connection string for MongoDB:

jdbc:mongodb:Server=MyServer;Port=27017;Database=test;User=test;Password=Password;

Load MongoDB Data in Embulk

After installing the CData JDBC Driver and creating a JDBC connection string, install the required Embulk plugins.

Install Embulk Input & Output Plugins

1. Install the JDBC Input Plugin in Embulk.
   https://github.com/embulk/embulk-input-jdbc/tree/master/embulk-input-jdbc

embulk gem install embulk-input-jdbc

2. In this article, we use MySQL as the destination database. You can also choose SQL Server, PostgreSQL, or Google BigQuery as the destination using the output Plugins.
   https://github.com/embulk/embulk-output-jdbc/tree/master/embulk-output-mysql

   embulk gem install embulk-output-mysql
   

With the input and output plugins installed, we are ready to load MongoDB data into MySQL using Embulk.

Create a Job to Load MongoDB Data

Start by creating a config file in Embulk, using a name like mongodb-mysql.yml.

1. For the input plugin options, use the CData JDBC Driver for MongoDB, including the path to the driver JAR file, the driver class (e.g. cdata.jdbc.mongodb.MongoDBDriver), and the JDBC URL from above
2. For the output plugin options, use the values and credentials for the MySQL database

Sample Config File (mongodb-mysql.yml)

in:
	type: jdbc
	driver_path: C:\Program Files\CData[product_name] 20xx\lib\cdata.jdbc.mongodb.jar
	driver_class: cdata.jdbc.mongodb.MongoDBDriver
	url: jdbc:mongodb:Server=MyServer;Port=27017;Database=test;User=test;Password=Password;
	table: "restaurants"
out: 
	type: mysql
	host: localhost
	database: DatabaseName
	user: UserId
	password: UserPassword
	table: "restaurants"
	mode: insert

After creating the file, run the Embulk job.

embulk run mongodb-mysql.yml

After running the the Embulk job, find the Salesforce data in the MySQL table.

Load Filtered MongoDB Data

In addition to loading data directly from a table, you can use a custom SQL query to have more granular control of the data loaded. You can also perform increment loads by setting a last updated column in a SQL WHERE clause in the query field.

in:
	type: jdbc
	driver_path: C:\Program Files\CData[product_name] 20xx\lib\cdata.jdbc.mongodb.jar
	driver_class: cdata.jdbc.mongodb.MongoDBDriver
	url: jdbc:mongodb:Server=MyServer;Port=27017;Database=test;User=test;Password=Password;
	query: "SELECT borough, cuisine FROM restaurants WHERE [RecordId] = 1"
out: 
	type: mysql
	host: localhost
	database: DatabaseName
	user: UserId
	password: UserPassword
	table: "restaurants"
	mode: insert

More Information & Free Trial

By using CData JDBC Driver for MongoDB as a connector, Embulk can integrate MongoDB data into your data load jobs. And with drivers for more than 200+ other enterprise sources, you can integrate any enterprise SaaS, big data, or NoSQL source as well. Download a 30-day free trial and get started today.