with Microsoft Azure SQL Database and ImageKit.io?
Executes a SQL query and returns the results. See the documentation
List all the uploaded files and folders in your ImageKit.io media library. See the documentation
Inserts a new row in a table. See the documentation
The Microsoft Azure SQL Database API allows you to manage and interact with your SQL databases hosted on Azure directly from Pipedream. It provides a serverless way to run SQL queries, manage tables, and handle database management tasks. You can create, read, update, and delete database records, execute stored procedures, and perform a variety of other SQL operations. Leveraging this API on Pipedream enables you to automate workflows, respond to database events in real-time, and integrate with countless other apps and services.
import azure_sql from '@pipedream/azure_sql';
export default defineComponent({
props: {
azure_sql,
},
async run({ steps, $ }) {
// Component source code:
// https://github.com/PipedreamHQ/pipedream/tree/master/components/azure_sql
const queryObj = {
query: "SELECT GETDATE()",
values: [],
};
return await this.azure_sql.executeQuery(queryObj);
},
});
ImageKit.io API lets you manage, optimize, and deliver images dynamically for your web applications. On Pipedream, you can integrate this API to construct serverless workflows that automate your image operations and connect with other services. You can upload images from various sources, apply real-time transformations, and track media assets without managing infrastructure.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
imagekit_io: {
type: "app",
app: "imagekit_io",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.imagekit.io/v1/files`,
auth: {
username: `${this.imagekit_io.$auth.private_key}`,
password: ``,
},
})
},
})