with Grist and Microsoft Azure SQL Database?
Emit new event once a record is updated or newly created in Grist. See the documentation
Emit new event when a record is just created. See the documentation
Triggers when a new row is added or an existing row is updated.
Add records in a specified table or updates existing matching records. See the documentation
Executes a SQL query and returns the results. See the documentation
Grist API on Pipedream enables you to automate data management tasks in your Grist documents. This might mean syncing data across different platforms, triggering notifications based on data changes, or processing data through custom logic. With Pipedream, you can use the Grist API to build workflows that react to events in real-time, connect to hundreds of other services, manipulate data in sophisticated ways, and create custom endpoints to integrate with your Grist data.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
grist: {
type: "app",
app: "grist",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://docs.getgrist.com/api/orgs`,
headers: {
Authorization: `Bearer ${this.grist.$auth.api_key}`,
},
})
},
})
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);
},
});