Schedule
Trigger workflows on an interval or cron schedule.
Integrate the Schedule API with the Microsoft Azure SQL Database API
Setup the Schedule API trigger to run a workflow which integrates with the Microsoft Azure SQL Database API. Pipedream's integration platform allows you to integrate Schedule and Microsoft Azure SQL Database remarkably fast. Free for developers.
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Popular Ways to Connect Schedule with Microsoft Azure SQL Database#
Popular Schedule and Microsoft Azure SQL Database Triggers#
Popular Schedule and Microsoft Azure SQL Database Actions#
Executes a SQL query and returns the results. See the documentation
Inserts a new row in a table. See the documentation
Overview of Schedule#
The Schedule app in Pipedream is a powerful tool that allows you to trigger workflows at regular intervals, ranging from every minute to once a year. This enables the automation of repetitive tasks and the scheduling of actions to occur without manual intervention. By leveraging this API, you can execute code, run integrations, and process data on a reliable schedule, all within Pipedream's serverless environment.
Overview of Microsoft Azure SQL Database#
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.
Connect Microsoft Azure SQL Database#
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);
},
});Trusted by 1,000,000+ developers from startups to Fortune 500 companies