Build a PostgreSQL Interface for BugHerd Data using the CData JDBC Driver

Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Use the Remoting features of the BugHerd JDBC Driver to create a PostgreSQL entry-point for data access.

There are a vast number of PostgreSQL clients available on the Internet. From standard Drivers to BI and Analytics tools, PostgreSQL is a popular interface for data access. Using our JDBC Drivers, you can now create PostgreSQL entry-points that you can connect to from any standard client.

To access BugHerd data as a PostgreSQL database, use the CData JDBC Driver for BugHerd and a JDBC foreign data wrapper (FDW). In this article, we compile the FDW, install it, and query BugHerd data from PostgreSQL Server.

Connect to BugHerd Data as a JDBC Data Source

To connect to BugHerd as a JDBC data source, you will need the following:

  • Driver JAR path: The JAR is located in the lib subfolder of the installation directory.
  • Driver class:

    
    cdata.jdbc.api.APIDriver
    

  • JDBC URL: The URL must start with "jdbc:api:" and can include any of the connection properties in name-value pairs separated with semicolons.

    Start by setting the Profile connection property to the location of the BugHerd Profile on disk (e.g. C:\profiles\BugHerd.apip). Next, set the ProfileSettings connection property to the connection string for BugHerd (see below).

    BugHerd API Profile Settings

    BugHerd uses HTTP Basic authentication with an API key as the username. To obtain an API key:

    1. Sign in to your BugHerd account at https://www.bugherd.com
    2. Navigate to Settings > General Settings
    3. Locate the API Key section and copy the generated key

    After obtaining your API key, set the following connection properties:

    • AuthScheme: Set this to APIKey.

    Set the following in the ProfileSettings connection property:

    • APIKey: Set this to your BugHerd API key. The driver uses the key as the Basic auth username and sets the password internally to the literal value 'x' as required by BugHerd.

    Built-in Connection String Designer

    For assistance in constructing the JDBC URL, use the connection string designer built into the BugHerd 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.

    Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)

    A typical JDBC URL is below:

    
    jdbc:api:Profile=C:\profiles\BugHerd.apip;AuthScheme=APIKey;ProfileSettings='APIKey=your_api_key';
    

Build the JDBC Foreign Data Wrapper

The Foreign Data Wrapper can be installed as an extension to PostgreSQL, without recompiling PostgreSQL. The jdbc2_fdw extension is used as an example (downloadable here).

  1. Add a symlink from the shared object for your version of the JRE to /usr/lib/libjvm.so. For example:
    
    ln -s /usr/lib/jvm/java-6-openjdk/jre/lib/amd64/server/libjvm.so /usr/lib/libjvm.so
    
  2. Start the build:
    
    make install USE_PGXS=1
    

Query BugHerd Data as a PostgreSQL Database

After you have installed the extension, follow the steps below to start executing queries to BugHerd data:

  1. Log into your database.
  2. Load the extension for the database:
    
    CREATE EXTENSION jdbc2_fdw;
    
  3. Create a server object for BugHerd:
    
    CREATE SERVER API 
    FOREIGN DATA WRAPPER jdbc2_fdw OPTIONS (
    drivername 'cdata.jdbc.api.APIDriver',
    url 'jdbc:api:Profile=C:\profiles\BugHerd.apip;AuthScheme=APIKey;ProfileSettings='APIKey=your_api_key';',
    querytimeout '15',
    jarfile '/home/MyUser/CData/CData\ JDBC\ Driver\ for\ Salesforce MyDriverEdition/lib/cdata.jdbc.api.jar'); 
    
  4. Create a user mapping for the username and password of a user known to the MySQL daemon.
    
    CREATE USER MAPPING for postgres SERVER API OPTIONS (
    username 'admin', 
    password 'test');
    
  5. Create a foreign table in your local database:
    
    postgres=# CREATE FOREIGN TABLE tasks (
    tasks_id text,
    tasks_Id text,
    tasks_Title numeric) 
    SERVER API OPTIONS (
    table_name 'tasks');
    
You can now execute SELECT commands to BugHerd:

postgres=# SELECT * FROM tasks;

Ready to get started?

Connect to live data from BugHerd with the API Driver

Connect to BugHerd