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Load Greenhouse Data to a Database Using Embulk


Use CData JDBC drivers with the open source ETL/ELT tool Embulk to load Greenhouse data to a database.

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

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

Configure a JDBC Connection to Greenhouse 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 Greenhouse\lib).

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

You need an API key to connect to Greenhouse. To create an API key, follow the steps below:

  1. Click the Configure icon in the navigation bar and locate Dev Center on the left.
  2. Select API Credential Management.
  3. Click Create New API Key.
    • Set "API Type" to Harvest.
    • Set "Partner" to custom.
    • Optionally, provide a description.
  4. Proceed to Manage permissions and select the appropriate permissions based on the resources you want to access through the driver.
  5. Copy the created key and set APIKey to that value.

Built-in Connection String Designer

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

java -jar cdata.jdbc.greenhouse.jar

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

Below is a typical JDBC connection string for Greenhouse:

jdbc:greenhouse:APIKey=YourAPIKey;

Load Greenhouse 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
  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 Greenhouse data into MySQL using Embulk.

Create a Job to Load Greenhouse Data

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

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

Sample Config File (greenhouse-mysql.yml)

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

After creating the file, run the Embulk job.

embulk run greenhouse-mysql.yml

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

Load Filtered Greenhouse 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.greenhouse.jar driver_class: cdata.jdbc.greenhouse.GreenhouseDriver url: jdbc:greenhouse:APIKey=YourAPIKey; query: "SELECT Id, CandidateId FROM Applications WHERE [RecordId] = 1" out: type: mysql host: localhost database: DatabaseName user: UserId password: UserPassword table: "Applications" mode: insert

More Information & Free Trial

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

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