{"id":4008,"date":"2023-11-04T23:13:59","date_gmt":"2023-11-04T23:13:59","guid":{"rendered":"http:\/\/localhost:10003\/using-azure-functions-with-triggers-and-bindings\/"},"modified":"2023-11-05T05:48:25","modified_gmt":"2023-11-05T05:48:25","slug":"using-azure-functions-with-triggers-and-bindings","status":"publish","type":"post","link":"http:\/\/localhost:10003\/using-azure-functions-with-triggers-and-bindings\/","title":{"rendered":"Using Azure Functions with triggers and bindings"},"content":{"rendered":"
Azure Functions is a serverless computing platform that enables developers to build and run event-driven applications on the cloud. In this tutorial, we will explore how to use Azure Functions with triggers and bindings. Triggers are the events that fire a function and bindings are the connections between the function’s input and output.<\/p>\n
By the end of this tutorial, you will learn how to create a simple Azure Function that triggers on an HTTP request and uses bindings to interact with Azure Blob Storage and Azure Table Storage.<\/p>\n
To follow this tutorial, you will need:<\/p>\n
Let’s start by creating an Azure Functions app. Follow these steps:<\/p>\n
Wait for a few minutes for Azure to create the function app. Once it’s created, navigate to the function app and click on the Functions<\/strong> tab. You should see a message that says “No functions found. Add a new function.”<\/p>\n <\/p>\n Now, let’s create an HTTP triggered function. Follow these steps:<\/p>\n Wait for a few seconds for Azure to create the function. Once it’s created, you should see the function’s code in the editor.<\/p>\n This is a simple HTTP triggered function that returns a message with a personalized name. You can test this function by clicking on the Test\/Run<\/strong> button at the top of the editor.<\/p>\n <\/p>\n Once the function is executed, you should see the output and logs in the Output<\/strong> pane at the bottom of the editor.<\/p>\n Now that we have created an HTTP triggered function, let’s add bindings to it so that we can interact with Azure Blob Storage.<\/p>\n Follow these steps:<\/p>\n Once the binding is created, you can use it in your function’s code. For example, you can modify the HTTP triggered function to save the personalized message to Azure Blob Storage.<\/p>\n Notice that we are using the You will need to replace the placeholders for the Save the file and test the function. Once the function is successful, navigate to the Azure portal and click on the storage account associated with the function app. You should see a new output<\/strong> container with a file that has the personalized name.<\/p>\n <\/p>\n Let’s add another binding that enables us to interact with Azure Table Storage.<\/p>\n Follow these steps:<\/p>\n Once the binding is created, you can use it in your function’s code. For example, you can modify the HTTP triggered function to read and update a row in Azure Table Storage.<\/p>\n Notice that we are using two classes from the You will need to replace the placeholder for the Save the file and test the function. Once the function is successful, navigate to the Azure portal and click on the storage account associated with the function app. You should see a new MyTable<\/strong> table with a row that has the personalized name.<\/p>\n <\/p>\n In this tutorial, we explored how to use Azure Functions with triggers and bindings. We created an HTTP triggered function, added bindings to interact with Azure Blob Storage and Azure Table Storage, and modified the function’s code to write and read from these services.<\/p>\n Azure Functions simplify the process of building and deploying event-driven applications on the cloud. With the use of triggers and bindings, developers can use Azure Functions to build powerful applications that interact with Azure services and other APIs.<\/p>\n","protected":false},"excerpt":{"rendered":" Overview Azure Functions is a serverless computing platform that enables developers to build and run event-driven applications on the cloud. In this tutorial, we will explore how to use Azure Functions with triggers and bindings. Triggers are the events that fire a function and bindings are the connections between the Continue Reading<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_import_markdown_pro_load_document_selector":0,"_import_markdown_pro_submit_text_textarea":"","footnotes":""},"categories":[1],"tags":[820,30,822,821,424,819,818],"yoast_head":"\nCreating an HTTP triggered function<\/h1>\n
\n
module.exports = async function (context, req) {\n context.log('JavaScript HTTP trigger function processed a request.');\n\n const name = (req.query.name || (req.body && req.body.name));\n const responseMessage = name\n ? \"Hello, \" + name + \". This HTTP triggered function executed successfully.\"\n : \"This HTTP triggered function executed successfully. Pass a name in the query string or in the request body for a personalized response.\";\n\n context.res = {\n \/\/ status: 200, \/* Defaults to 200 *\/\n body: responseMessage\n };\n}\n<\/code><\/pre>\n
Using bindings to interact with Azure Blob Storage<\/h1>\n
\n
const { BlobServiceClient } = require('@azure\/storage-blob');\n\nmodule.exports = async function (context, req) {\n context.log('JavaScript HTTP trigger function processed a request.');\n\n const name = (req.query.name || (req.body && req.body.name));\n const responseMessage = name\n ? \"Hello, \" + name + \". This HTTP triggered function executed successfully.\"\n : \"This HTTP triggered function executed successfully. Pass a name in the query string or in the request body for a personalized response.\";\n\n const account = process.env.AZURE_STORAGE_ACCOUNT;\n const key = process.env.AZURE_STORAGE_ACCESS_KEY;\n const connectionString = process.env.AZURE_STORAGE_CONNECTION_STRING;\n const containerName = 'output';\n const blobName = name + '.txt';\n\n const message = responseMessage;\n const blobServiceClient = account\n ? BlobServiceClient.fromConnectionString(`DefaultEndpointsProtocol=https;AccountName=${account};AccountKey=${key};EndpointSuffix=core.windows.net`)\n : BlobServiceClient.fromConnectionString(connectionString);\n const containerClient = blobServiceClient.getContainerClient(containerName);\n const blockBlobClient = containerClient.getBlockBlobClient(blobName);\n await blockBlobClient.upload(message, message.length);\n\n context.res = {\n \/\/ status: 200, \/* Defaults to 200 *\/\n body: responseMessage\n };\n}\n<\/code><\/pre>\n
BlobServiceClient<\/code> class from the
@azure\/storage-blob<\/code> package to interact with Azure Blob Storage. We are also using the
account<\/code>,
key<\/code>, and
connectionString<\/code> variables to authenticate with Azure Blob Storage.<\/p>\n
account<\/code> and
key<\/code> variables with your own storage account’s credentials. Alternatively, you can use the
connectionString<\/code> variable to authenticate with your storage account.<\/p>\n
Using bindings to interact with Azure Table Storage<\/h1>\n
\n
const { TableServiceClient, TableClient } = require('@azure\/data-tables');\n\nmodule.exports = async function (context, req, myTableInput) {\n context.log('JavaScript HTTP trigger function processed a request.');\n\n const name = (req.query.name || (req.body && req.body.name));\n const responseMessage = name\n ? \"Hello, \" + name + \". This HTTP triggered function executed successfully.\"\n : \"This HTTP triggered function executed successfully. Pass a name in the query string or in the request body for a personalized response.\";\n\n const connectionString = process.env.AZURE_TABLES_CONNECTION_STRING;\n const tableName = 'MyTable';\n const partitionKey = 'Partition';\n const rowKey = name;\n\n const data = myTableInput.data;\n const tableServiceClient = connectionString ? TableServiceClient.fromConnectionString(connectionString) : new TableServiceClient(tableUrl, pipeline);\n const tableClient = tableServiceClient.getTableClient(tableName);\n const entity = Object.assign({ partitionKey, rowKey }, data);\n await tableClient.createEntity(entity);\n context.log('Entity created successfully.');\n\n context.res = {\n \/\/ status: 200, \/* Defaults to 200 *\/\n body: responseMessage\n };\n}\n<\/code><\/pre>\n
@azure\/data-tables<\/code> package to interact with Azure Table Storage. We are also using the
connectionString<\/code> variable to authenticate with Azure Table Storage.<\/p>\n
connectionString<\/code> variable with your own storage account’s connection string.<\/p>\n
Conclusion<\/h1>\n