Load Google Contacts Data to a Database Using Embulk

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

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

Configure a JDBC Connection to Google Contacts 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 Google Contacts\lib).

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

You can connect to Google APIs on behalf of individual users or on behalf of a domain. Google uses the OAuth authentication standard. See the "Getting Started" section of the help documentation for a guide.

Built-in Connection String Designer

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

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

Below is a typical JDBC connection string for Google Contacts:

Load Google Contacts 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 Google Contacts data into MySQL using Embulk.

Create a Job to Load Google Contacts Data

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

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

Sample Config File (googlecontacts-mysql.yml)

After creating the file, run the Embulk job.

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

Load Filtered Google Contacts 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.

More Information & Free Trial

By using CData JDBC Driver for Google Contacts as a connector, Embulk can integrate Google Contacts 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.