Create SQL Analysis Services-Connected Applications in Appsmith

Appsmith is an open-source internal tool builder that allows teams to quickly and easily build a UI to help improve their business operations. When combined with CData Connect AI, you gain immediate access to SQL Analysis Services data for business applications. This article outlines the process of connecting to SQL Analysis Services using Connect AI and creating a basic application from SQL Analysis Services data within Appsmith.

CData Connect AI offers a pure SQL Server, cloud-to-cloud interface for SQL Analysis Services, enabling the creation of business applications directly from live SQL Analysis Services data within Appsmith, all without the need for data replication to a native database. As you build applications, Appsmith generates SQL queries to gather data. With its inherent optimized data processing capabilities, CData Connect AI efficiently channels all supported SQL operations, including filters and JOINs, directly to SQL Analysis Services. This leverages server-side processing to swiftly deliver the requested SQL Analysis Services data.

Configure SQL Analysis Services Connectivity for Appsmith

Connectivity to SQL Analysis Services from Appsmith is made possible through CData Connect AI. To work with SQL Analysis Services data from Appsmith, we start by creating and configuring a SQL Analysis Services connection.

1. Log into Connect AI, click Sources, and then click Add Connection

2. Select "SQL Analysis Services" from the Add Connection panel

3. Enter the necessary authentication properties to connect to SQL Analysis Services.

   To connect, provide authentication and set the Url property to a valid SQL Server Analysis Services endpoint. You can connect to SQL Server Analysis Services instances hosted over HTTP with XMLA access. See the Microsoft documentation to configure HTTP access to SQL Server Analysis Services.

   To secure connections and authenticate, set the corresponding connection properties, below. The data provider supports the major authentication schemes, including HTTP and Windows, as well as SSL/TLS.

   • HTTP Authentication

     Set AuthScheme to "Basic" or "Digest" and set User and Password. Specify other authentication values in CustomHeaders.

   • Windows (NTLM)

     Set the Windows User and Password and set AuthScheme to "NTLM".

   • Kerberos and Kerberos Delegation

     To authenticate with Kerberos, set AuthScheme to NEGOTIATE. To use Kerberos delegation, set AuthScheme to KERBEROSDELEGATION. If needed, provide the User, Password, and KerberosSPN. By default, the data provider attempts to communicate with the SPN at the specified Url.

   • SSL/TLS:

     By default, the data provider attempts to negotiate SSL/TLS by checking the server's certificate against the system's trusted certificate store. To specify another certificate, see the SSLServerCert property for the available formats.

   You can then access any cube as a relational table: When you connect the data provider retrieves SSAS metadata and dynamically updates the table schemas. Instead of retrieving metadata every connection, you can set the CacheLocation property to automatically cache to a simple file-based store.

   See the Getting Started section of the CData documentation, under Retrieving Analysis Services Data, to execute SQL-92 queries to the cubes.

   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add SQL Analysis Services Connection page and update the User-based permissions.

Add a Personal Access Token

When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.

1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
2. On the Settings page, go to the Access Tokens section and click Create PAT.
3. Give the PAT a name and click Create.
4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured and a PAT generated, we are ready to connect to SQL Analysis Services data from Appsmith.

Create an Appsmith Application from live SQL Analysis Services Data

To establish a connection from Appsmith to the CData Connect AI Virtual SQL Server, follow these steps:

Connect to SQL Analysis Services in Appsmith

1. Log in to your Appsmith instance and create a new application.
2. In the new application, open the Data page and select Bring your data.
3. On this page, you can search for Microsoft SQL Server and select it as your data source.
4. Enter a name for the new data source and then enter the following connection settings:
   • Host address: tds.cdata.com
   • Port: 14333
   • Database name: enter the Connection Name of the CData Connect AI data source you want to connect to (for example, SSAS1).
   • Username: enter your CData Connect AI username. This is displayed in the top-right corner of the CData Connect AI interface. For example, [email protected].
   • Password: enter the PAT you previously generated.
   
5. Click Test configuration to confirm a successful connection, then click Save to save the datasource.

Create a new query

With a connection configured to a datasource, we can add a SQL query to actually retrieve data from the data source.

1. On the screen with the new data source, click New Query.
2. This opens the Query Editor to enter a SQL query to select data. To assist with specifying a SQL query, use the Explorer of CData Connect AI to preview the SQL queries and the data you want to retrieve.
3. After creating the SQL query, return to the Query Editor in Appsmith and enter the SQL query, then click Run.
4. Once the query successfully runs, all that remains is to set up the Page to display the data retrieved.

Display SQL Analysis Services data

1. Open the UI tab and click New UI element.
2. Choose a new UI element to grab, then drag and place the element on the page.
3. Click Connect data on the new UI element, then select the query previously created.
4. With the data connected, it is then displayed in the UI element.

Deploy the application

With the SQL Analysis Services data connected to the UI elements in the application, we can deploy the Application. To do this, click Deploy in the top-right corner of Appsmith, then the application is opened in a separate window displaying the SQL Analysis Services data.

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