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OData is a major protocol enabling real-time communication among cloud-based, mobile, and other online applications. The CData API Server provides Kintone 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 Kintone data in real time.
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 Kintone OData services:
To work with Kintone data from TIBCO Spotfire, we start by creating and configuring a Kintone connection. Follow the steps below to configure the API Server to connect to Kintone data:
In addition to the authentication values, set the following parameters to connect to and retrieve data from Kintone:
Kintone supports the following authentication methods.
You must set the following to authenticate:
If the basic authentication security feature is set on the domain, supply the additional login credentials with BasicAuthUser and BasicAuthPassword. Basic authentication requires these credentials in addition to User and Password.
Instead of basic authentication, you can specify a client certificate to authenticate. Set SSLClientCert, SSLClientCertType, SSLClientCertSubject, and SSLClientCertPassword. Additionally, set User and Password to your login credentials.
π Connecting to a datasource (SQLite is shown)Next, create a user to access your Kintone 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:
Having created a user, you are ready to create API endpoints for the Kintone tables:
Having configured a connection to Kintone 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:
π API Endpointshttp://localhost:8080/api.rsc
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.
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.
Learn more or sign up for a free trial:
CData API Server