Load Basecamp Data to a Database Using Embulk

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Basecamp JDBC Driver

Rapidly create and deploy powerful Java applications that integrate with Basecamp including Projects, People, Documents, Messages, and more!



Use CData JDBC Driver for Basecamp with the open source ETL/ELT tool Embulk to load Basecamp data to a database.

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

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

Configure a JDBC Connection to Basecamp 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 Basecamp\lib).

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

Basecamp uses basic or OAuth 2.0 authentication. To use basic authentication you will need the user and password that you use for logging in to Basecamp. To authenticate to Basecamp via OAuth 2.0, you will need to obtain the OAuthClientId, OAuthClientSecret, and CallbackURL connection properties by registering an app with Basecamp.

See the Getting Started section in the help documentation for a connection guide.

Additionally, you will need to specify the AccountId connection property. This can be copied from the URL after you log in.

Built-in Connection String Designer

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

java -jar cdata.jdbc.basecamp.jar

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

Below is a typical JDBC connection string for Basecamp:

jdbc:basecamp:User=test@northwind.db;Password=test123;

Load Basecamp 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 Basecamp data into MySQL using Embulk.

Create a Job to Load Basecamp Data

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

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

Sample Config File (basecamp-mysql.yml)

in: type: jdbc driver_path: C:\Program Files\CData\CData JDBC Driver for Basecamp 20xx\lib\cdata.jdbc.basecamp.jar driver_class: cdata.jdbc.basecamp.BasecampDriver url: jdbc:basecamp:User=test@northwind.db;Password=test123; table: "Projects" out: type: mysql host: localhost database: DatabaseName user: UserId password: UserPassword table: "Projects" mode: insert

After creating the file, run the Embulk job.

embulk run basecamp-mysql.yml

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

Load Filtered Basecamp 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\CData JDBC Driver for Basecamp 20xx\lib\cdata.jdbc.basecamp.jar driver_class: cdata.jdbc.basecamp.BasecampDriver url: jdbc:basecamp:User=test@northwind.db;Password=test123; query: "SELECT Name, DocumentsCount FROM Projects WHERE [RecordId] = 1" out: type: mysql host: localhost database: DatabaseName user: UserId password: UserPassword table: "Projects" mode: insert

More Information & Free Trial

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