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Through standards-based interfaces like OData and Swagger, the CData API Server provides a native experience in Logic Apps and Power Automate with Spark. OData enables real-time connectivity to data; Swagger enables scaffolding, or code generation, of wizards in Logic Apps and Power Automate, as well as scaffolding Power Apps. This article shows how to add Spark to an IFTTT (if-this-then-that) workflow in a Logic App.
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 Spark OData services:
To work with Spark data in a Logic App, we start by creating and configuring a Spark connection. Follow the steps below to configure the API Server to connect to Spark data:
Set the Server, Database, User, and Password connection properties to connect to SparkSQL.
π Connecting to a datasource (SQLite is shown)Next, create a user to access your Spark 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 Spark tables:
Having configured a connection to Spark 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 EndpointsYou can use the API Server in a Logic App to create process flows around Spark data. The HTTP + Swagger action provides a wizard to define the operations you want to execute to Spark. The following steps below show how to retrieve Spark data in a Logic App.
If your table has a column containing the creation date of a record, you can follow the steps below to write a function to check the column values for any new records. Otherwise, skip to the Create a Logic App section to send out emails to entities that match a filter.
To find new Spark entities since a certain time, you can write a function that retrieves a datetime value for the start of the interval:
module.exports = function (context, data) {
var d = new Date();
d.setHours(d.getHours()-1);
// Response of the function to be used later.
context.res = {
body: {
start: d
}
};
context.done();
};
Follow the steps below to create a trigger that searches Spark for results that match a filter. If you created the function above, you can search for objects that were created after the start of the interval returned.
http://MySite:MyPort/api.rsc/@MyAuthtoken/$oas
Use the descriptions for each property to specify additional parameters such as the columns to retrieve, filters, etc. Below is an example filter:
Country eq 'US'
The API Server returns the descriptions and other documentation in the swagger document. You can find more information on using the OData API and supported OData in the API Server help documentation.
To use the datetime value returned from the getInterval function, use the "ge" operator with a datetime column in the Customers table and select the Body parameter in the dialog. Note that quotes must be used to surround the datetime value.
π An OData filter on the results of an Azure Function App, getToday. (Salesforce is shown.)Switch to Code View and modify the $filter expression to extract the property containing the start of the interval. Use the syntax '@{body('MyFunc')['MyProp']'.
"getAllAccount": {
"inputs": {
"method": "get",
"queries": {
"$filter": "CreatedDate ge '@{body('getInterval')['start']}'"
},
"uri": "https://MySite:MyPort/api.rsc/@MyAuthtoken/Customers"
}
You can now access Spark as data sources and destinations in your workflows.
Follow the steps below to email a report with any new Customers entities.
Click Save and then click Run to send email notifications on any Spark records created in the last hour.
π Dynamic columns added to template the body of an email. (Salesforce is shown.)Learn more or sign up for a free trial:
CData API Server