Using azure-native logic with synapse
TypeScriptTo orchestrate workflows that integrate with Azure Synapse Analytics, you can use Azure Logic Apps, a service that helps simplify how you design and build scalable solutions for app integration, data integration, system integration, enterprise application integration (EAI), and business-to-business (B2B) communication.
Azure Logic Apps provides a visual designer to build workflows that integrate with various services, including Azure Synapse Analytics. These workflows are defined as "Logic Apps" in Azure. You can trigger a Logic App with different connectors provided within Azure or through external services.
The
azure-native.logic.Workflow
resource in Pulumi allows you to define a Logic App workflow as code, which encapsulates a set of rules and actions. The workflow you define could, for example, use an Azure Synapse connector to run analytics jobs and work with results within your business processes.Let's create a Pulumi program in TypeScript that represents a Logic App workflow integrating with Azure Synapse Analytics. We will set up a basic workflow resource (
Workflow
) that can later be configured to perform specific actions in Azure Synapse Analytics.Here's how you can create a Logic App workflow in Pulumi:
- Set up an Azure Resource Group to hold the resources.
- Define the
Workflow
with basic configuration (you can customize the workflow according to your business logic). - Deploy and see the workflow running on Azure.
Here is the program that creates an Azure Logic App inside a resource group:
import * as azure from "@pulumi/azure-native"; // Import the azure-native package // Create an Azure resource group const resourceGroup = new azure.resources.ResourceGroup("resourceGroup"); // Deploy a Logic App Workflow within the resource group const workflow = new azure.logic.Workflow("workflow", { resourceGroupName: resourceGroup.name, location: resourceGroup.location, // Logic Apps require an identity, which can be System or User assigned (Managed Identity) identity: { type: "SystemAssigned", }, // The definition of the workflow actions and triggers is stored as JSON // Following is a simple placeholder definition, replace it with actual workflow logic definition: { "$schema": "https://schema.management.azure.com/providers/Microsoft.Logic/schemas/2016-06-01/workflowdefinition.json#", "actions": {}, "triggers": { "When_a_HTTP_request_is_received": { "type": "Request", "kind": "Http", "inputs": { "schema": {} } } }, "contentVersion": "1.0.0.0", "outputs": {}, "parameters": {}, "metadata": {} }, // Set the Logic Apps version state: "Enabled", }); // Export the Logic App Workflow endpoint export const endpoint = workflow.endpointUrl;
Make sure to replace the workflow's definition with the actual business logic you'd like to execute. The definition provided above is just a structural placeholder where you can include triggers and actions specific to your workflow involving Azure Synapse Analytics.
The Azure Logic App we have created above can be further configured to interact with Azure Synapse Analytics, such as invoking data processing jobs, managing pipelines, monitoring data flows, and so on. You will need to configure the Logic App Connector for Azure Synapse Analytics and provide the necessary parameters such as API connections, authentication details, and specific actions that you want to be performed in Synapse Analytics. Please refer to the Azure Logic Apps documentation for more information on connectors and workflow definition.
Once you've finalized your workflow definition, use the Pulumi CLI to deploy your stack:
pulumi up
This command will provision the Azure resources as defined in the Pulumi program. You can monitor, manage, and define complex orchestrations using Pulumi and Azure Logic Apps to leverage Azure Synapse Analytics capabilities fully.