A PostgreSQL Interface for Monday.com Data



Use the Remoting features of the Monday.com 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 Monday.com data as a PostgreSQL database, use the CData JDBC Driver for Monday.com and a JDBC foreign data wrapper (FDW). In this article, we compile the FDW, install it, and query Monday.com data from PostgreSQL Server.

Connect to Monday.com Data as a JDBC Data Source

To connect to Monday.com 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.monday.MondayDriver

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

    You can connect to Monday.com using either API Token authentication or OAuth authentication.

    Connecting with an API Token

    Connect to Monday.com by specifying the APIToken. Set the AuthScheme to Token and obtain the APIToken as follows:

    • API tokens for admin users
      1. Log in to your Monday.com account and click on your avatar in the bottom left corner.
      2. Select Admin.
      3. Select "API" on the left side of the Admin page.
      4. Click the "Copy" button to copy the user's API token.
    • API tokens for non-admin users
      1. Click on your profile picture in the bottom left of your screen.
      2. Select "Developers"
      3. Click "Developer" and then "My Access Tokens" at the top.
      4. Select "Show" next to the API token, where you'll be able to copy it.

    Connecting with OAuth Authentication

    Alternatively, you can establish a connection using OAuth (refer to the OAuth section of the Help documentation).

    Built-in Connection String Designer

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

    java -jar cdata.jdbc.monday.jar

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

    A typical JDBC URL is below:

    jdbc:monday:APIToken=eyJhbGciOiJIUzI1NiJ9.yJ0aWQiOjE0MTc4NzIxMiwidWlkIjoyNzI3ODM3OSwiaWFkIjoiMjAyMi0wMS0yMFQxMDo0NjoxMy45NDFaIiwicGV;

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 Monday.com Data as a PostgreSQL Database

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

  1. Log into your database.
  2. Load the extension for the database: CREATE EXTENSION jdbc2_fdw;
  3. Create a server object for Monday.com: CREATE SERVER Monday FOREIGN DATA WRAPPER jdbc2_fdw OPTIONS ( drivername 'cdata.jdbc.monday.MondayDriver', url 'jdbc:monday:APIToken=eyJhbGciOiJIUzI1NiJ9.yJ0aWQiOjE0MTc4NzIxMiwidWlkIjoyNzI3ODM3OSwiaWFkIjoiMjAyMi0wMS0yMFQxMDo0NjoxMy45NDFaIiwicGV;', querytimeout '15', jarfile '/home/MyUser/CData/CData\ JDBC\ Driver\ for\ Salesforce MyDriverEdition/lib/cdata.jdbc.monday.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 Monday OPTIONS ( username 'admin', password 'test');
  5. Create a foreign table in your local database: postgres=# CREATE FOREIGN TABLE invoices ( invoices_id text, invoices_Id text, invoices_DueDate numeric) SERVER Monday OPTIONS ( table_name 'invoices');
You can now execute SELECT commands to Monday.com: postgres=# SELECT * FROM invoices;

Ready to get started?

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