Build a PostgreSQL Interface for PivotalTracker Data using the CData JDBC Driver
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 PivotalTracker data as a PostgreSQL database, use the CData JDBC Driver for PivotalTracker and a JDBC foreign data wrapper (FDW). In this article, we compile the FDW, install it, and query PivotalTracker data from PostgreSQL Server.
Connect to PivotalTracker Data as a JDBC Data Source
To connect to PivotalTracker 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 PivotalTracker Profile on disk (e.g. C:\profiles\PivotalTracker.apip). Next, set the ProfileSettings connection property to the connection string for PivotalTracker (see below).
PivotalTracker API Profile Settings
Navigate to your Pivotal Tracker Profile settings and locate the API token section to copy your unique API token.
Built-in Connection String Designer
For assistance in constructing the JDBC URL, use the connection string designer built into the PivotalTracker 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.
A typical JDBC URL is below:
jdbc:api:Profile=C:\profiles\PivotalTracker.apip;ProfileSettings='APIKey=your_api_token';
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).
- 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
- Start the build:
make install USE_PGXS=1
Query PivotalTracker Data as a PostgreSQL Database
After you have installed the extension, follow the steps below to start executing queries to PivotalTracker data:
- Log into your database.
-
Load the extension for the database:
CREATE EXTENSION jdbc2_fdw;
-
Create a server object for PivotalTracker:
CREATE SERVER API FOREIGN DATA WRAPPER jdbc2_fdw OPTIONS ( drivername 'cdata.jdbc.api.APIDriver', url 'jdbc:api:Profile=C:\profiles\PivotalTracker.apip;ProfileSettings='APIKey=your_api_token';', querytimeout '15', jarfile '/home/MyUser/CData/CData\ JDBC\ Driver\ for\ Salesforce MyDriverEdition/lib/cdata.jdbc.api.jar');
-
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');
-
Create a foreign table in your local database:
postgres=# CREATE FOREIGN TABLE accountmemberships ( accountmemberships_id text, accountmemberships_AccountId text, accountmemberships_Id numeric) SERVER API OPTIONS ( table_name 'accountmemberships');
postgres=# SELECT * FROM accountmemberships;