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URL: https://www.cdata.com/kb/tech/klaviyo-jdbc-embulk.rst

⇱ Load Klaviyo Data to a Database Using Embulk


Load Klaviyo Data to a Database Using Embulk

👁 Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Use CData JDBC drivers with the open source ETL/ELT tool Embulk to load Klaviyo data to a database.

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

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

Configure a JDBC Connection to Klaviyo 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 Klaviyo\lib).

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

To authenticate to Klaviyo, provide an API Key. You can generate or view your API keys under 'My Account'

  1. Navigate to 'Settings' > 'API Keys'
  2. Click 'Create API Key'.
  3. Name your API key and choose the desired scopes.

To connect in your CData solutions, set API Key to your Klaviyo API key.

If you wish to use OAuth authentication, refer to the Help documenation.

Built-in Connection String Designer

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

java -jar cdata.jdbc.klaviyo.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 Klaviyo:

jdbc:klaviyo:APIKey=my_api_key;

Load Klaviyo 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
  2. embulk gem install embulk-input-jdbc
    
  3. 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 Klaviyo data into MySQL using Embulk.

Create a Job to Load Klaviyo Data

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

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

Sample Config File (klaviyo-mysql.yml)

in:
	type: jdbc
	driver_path: C:\Program Files\CData[product_name] 20xx\lib\cdata.jdbc.klaviyo.jar
	driver_class: cdata.jdbc.klaviyo.KlaviyoDriver
	url: jdbc:klaviyo:APIKey=my_api_key;
	table: "Campaigns"
out: 
	type: mysql
	host: localhost
	database: DatabaseName
	user: UserId
	password: UserPassword
	table: "Campaigns"
	mode: insert

After creating the file, run the Embulk job.

embulk run klaviyo-mysql.yml

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

Load Filtered Klaviyo 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.klaviyo.jar
	driver_class: cdata.jdbc.klaviyo.KlaviyoDriver
	url: jdbc:klaviyo:APIKey=my_api_key;
	query: "SELECT Id, Name FROM Campaigns WHERE [RecordId] = 1"
out: 
	type: mysql
	host: localhost
	database: DatabaseName
	user: UserId
	password: UserPassword
	table: "Campaigns"
	mode: insert

More Information & Free Trial

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

Ready to get started?

Download a free trial of the Klaviyo Driver to get started:

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