VOOZH about

URL: https://www.cdata.com/kb/tech/postgresql-odata-spotfire.rst

⇱ Visualize PostgreSQL Data in TIBCO Spotfire through OData


Visualize PostgreSQL Data in TIBCO Spotfire through OData

πŸ‘ Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Integrate PostgreSQL data into dashboards in TIBCO Spotfire.

OData is a major protocol enabling real-time communication among cloud-based, mobile, and other online applications. The CData API Server provides PostgreSQL data to OData consumers like TIBCO Spotfire. This article shows how to use the API Server and Spotfire's built-in support for OData to access PostgreSQL data in real time.

Set Up the API Server

If you have not already done so, download the CData API Server. Once you have installed the API Server, follow the steps below to begin producing secure PostgreSQL OData services:

Connect to PostgreSQL

To work with PostgreSQL data from TIBCO Spotfire, we start by creating and configuring a PostgreSQL connection. Follow the steps below to configure the API Server to connect to PostgreSQL data:

  1. First, navigate to the Connections page.
  2. Click Add Connection and then search for and select the PostgreSQL connection. πŸ‘ Selecting a data source (SQLite is shown)
  3. Enter the necessary authentication properties to connect to PostgreSQL.

    To connect to PostgreSQL, set the Server, Port (the default port is 5432), and Database connection properties and set the User and Password you wish to use to authenticate to the server. If the Database property is not specified, the data provider connects to the user's default database.

    SSH Connectivity for PostgreSQL

    You can use SSH (Secure Shell) to authenticate with PostgreSQL, whether the instance is hosted on-premises or in supported cloud environments. SSH authentication ensures that access is encrypted (as compared to direct network connections).

    SSH Connections to PostgreSQL in Password Auth Mode

    To connect to PostgreSQL via SSH in Password Auth mode, set the following connection properties:

    • User: PostgreSQL User name
    • Password: PostgreSQL Password
    • Database: PostgreSQL database name
    • Server: PostgreSQL Server name
    • Port: PostgreSQL port number like 3306
    • UserSSH: "true"
    • SSHAuthMode: "Password"
    • SSHPort: SSH Port number
    • SSHServer: SSH Server name
    • SSHUser: SSH User name
    • SSHPassword: SSH Password

    SSH Connections to PostgreSQL in Public Key Auth Mode

    To connect to PostgreSQL via SSH in Password Auth mode, set the following connection properties:

    • User: PostgreSQL User name
    • Password: PostgreSQL Password
    • Database: PostgreSQL database name
    • Server: PostgreSQL Server name
    • Port: PostgreSQL port number like 3306
    • UserSSH: "true"
    • SSHAuthMode: "Public_Key"
    • SSHPort: SSH Port number
    • SSHServer: SSH Server name
    • SSHUser: SSH User name
    • SSHClientCret: the path for the public key certificate file
    πŸ‘ Connecting to a datasource (SQLite is shown)
  4. After configuring the connection, click Save & Test to confirm a successful connection.

Configure API Server Users

Next, create a user to access your PostgreSQL data through the API Server. You can add and configure users on the Users page. Follow the steps below to configure and create a user:

  1. On the Users page, click Add User to open the Add User dialog.
  2. Next, set the Role, Username, and Privileges properties and then click Add User. πŸ‘ Configure a new user
  3. An Authtoken is then generated for the user. You can find the Authtoken and other information for each user on the Users page: πŸ‘ API Server user settings

Creating API Endpoints for PostgreSQL

Having created a user, you are ready to create API endpoints for the PostgreSQL tables:

  1. First, navigate to the API page and then click Add Table . πŸ‘ Add tables
  2. Select the connection you wish to access and click Next. πŸ‘ Select the connection (SQLite is shown)
  3. With the connection selected, create endpoints by selecting each table and then clicking Confirm. πŸ‘ Adding tables from the connection (SQLite is shown)

Gather the OData Url

Having configured a connection to PostgreSQL data, created a user, and added resources to the API Server, you now have an easily accessible REST API based on the OData protocol for those resources. From the API page in API Server, you can view and copy the API Endpoints for the API:

πŸ‘ API Endpoints

Create Data Visualizations on External PostgreSQL Data

  1. Open Spotfire and click Add Data Tables -> OData.
  2. In the OData Connection dialog, enter the following information:
    • Service URL: Enter the API Server's OData endpoint. For example:
      http://localhost:8080/api.rsc
    • Authentication Method: Select Username and Password.
    • Username: Enter the username of an API Server user. You can create API users on the Security tab of the administration console.
    • Password: Enter the authtoken of an API Server user.
    πŸ‘ Required connection settings to connect to the API Server.
  3. Select the tables and columns you want to add to the dashboard. This example uses Orders. πŸ‘ API Server API Entities. (Salesforce is shown.)
  4. If you want to work with the live data, click the Keep Data Table External option. This option enables your dashboards to reflect changes to the data in real time.

    If you want to load the data into memory and process the data locally, click the Import Data Table option. This option is better for offline use or if a slow network connection is making your dashboard less interactive.

  5. After adding tables, the Recommended Visualizations wizard is displayed. When you select a table, Spotfire uses the column data types to detect number, time, and category columns. This example uses ShipCity in the Numbers section and ShipName in the Categories section.πŸ‘ Recommended visualizations for the imported data table. (Salesforce is shown.)

After adding several visualizations in the Recommended Visualizations wizard, you can make other modifications to the dashboard. For example, you can apply a filter: After clicking the Filter button, the available filters for each query are displayed in the Filters pane.