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Load BambooHR Data to a Database Using Embulk
Use CData JDBC drivers with the open source ETL/ELT tool Embulk to load BambooHR data to a database.
Embulk is an open source bulk data loader. When paired with the CData API Driver for JDBC, Embulk easily loads data from BambooHR to any supported destination. In this article, we explain how to use the CData API Driver for JDBC in Embulk to load BambooHR data to a MySQL dtabase.
With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live BambooHR data. When you issue complex SQL queries to BambooHR, the driver pushes supported SQL operations, like filters and aggregations, directly to BambooHR and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations).
Configure a JDBC Connection to BambooHR 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 API Driver for JDBC\lib).
Embulk supports JDBC connectivity, so you can easily connect to BambooHR and execute SQL queries. Before creating a bulk load job, create a JDBC URL for authenticating with BambooHR.
Start by setting the Profile connection property to the location of the BambooHR Profile on disk (e.g. C:\profiles\bamboohr.apip). Next, set the ProfileSettings connection property to the connection string for BambooHR (see below).
BambooHR API Profile Settings
In order to authenticate to BambooHR, you'll need to provide your API Key. To generate an API key, log in and click your name in the upper right-hand corner of any page to get to the user context menu. If you have sufficient permissions, there will be an "API Keys" option in that menu to go to the page, where you can create a new API Key. Additionally, you will need to set the Domain, found in the domain name of your BambooHR account. For example if your BambooHR account is acmeinc.bamboohr.com, then the Domain should be 'acmeinc'. Set both the API Key and Domain in the ProfileSettings property to connect.
Built-in Connection String Designer
For assistance in constructing the JDBC URL, use the connection string designer built into the BambooHR JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.api.jar
Fill in the connection properties and copy the connection string to the clipboard.
Below is a typical JDBC connection string for BambooHR:
jdbc:api:Profile=C:\profiles\BambooHR.apip;ProfileSettings='Domain=acmeinc;APIKey=your_api_key';
Load BambooHR 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
- Install the JDBC Input Plugin in Embulk.
https://github.com/embulk/embulk-input-jdbc/tree/master/embulk-input-jdbc - 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-mysqlembulk gem install embulk-output-mysql
embulk gem install embulk-input-jdbc
With the input and output plugins installed, we are ready to load BambooHR data into MySQL using Embulk.
Create a Job to Load BambooHR Data
Start by creating a config file in Embulk, using a name like api-mysql.yml.
- For the input plugin options, use the CData API Driver for JDBC, including the path to the driver JAR file, the driver class (e.g. cdata.jdbc.api.APIDriver), and the JDBC URL from above
- For the output plugin options, use the values and credentials for the MySQL database
Sample Config File (api-mysql.yml)
in:
type: jdbc
driver_path: C:\Program Files\CData[product_name] 20xx\lib\cdata.jdbc.api.jar
driver_class: cdata.jdbc.api.APIDriver
url: jdbc:api:Profile=C:\profiles\BambooHR.apip;ProfileSettings='Domain=acmeinc;APIKey=your_api_key';
table: "Employees"
out:
type: mysql
host: localhost
database: DatabaseName
user: UserId
password: UserPassword
table: "Employees"
mode: insert
After creating the file, run the Embulk job.
embulk run api-mysql.yml
After running the the Embulk job, find the Salesforce data in the MySQL table.
Load Filtered BambooHR 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.api.jar
driver_class: cdata.jdbc.api.APIDriver
url: jdbc:api:Profile=C:\profiles\BambooHR.apip;ProfileSettings='Domain=acmeinc;APIKey=your_api_key';
query: "SELECT Id, DisplayName FROM Employees WHERE [RecordId] = 1"
out:
type: mysql
host: localhost
database: DatabaseName
user: UserId
password: UserPassword
table: "Employees"
mode: insert
More Information & Free Trial
By using CData API Driver for JDBC as a connector, Embulk can integrate BambooHR 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.
