MySQL is an open-source relational database management system.
Emit new event when you add or modify a new row in a table. See the docs here
Emit new event when new rows are returned from a custom query. See the docs here
Emit new event when a new table is added to a database. See the docs here
Scans a file for malware and other threats. See the docs here
The MySQL application on Pipedream enables direct interaction with your MySQL databases, allowing you to perform CRUD operations—create, read, update, delete—on your data with ease. You can leverage these capabilities to automate data synchronization, report generation, and event-based triggers that kick off workflows in other apps. With Pipedream's serverless platform, you can connect MySQL to hundreds of other services without managing infrastructure, crafting complex code, or handling authentication.
import mysql from '@pipedream/mysql';
export default defineComponent({
props: {
mysql,
},
async run({steps, $}) {
// Component source code:
// https://github.com/PipedreamHQ/pipedream/tree/master/components/mysql
const queryObj = {
sql: "SELECT NOW()",
values: [], // Ignored since query does not contain placeholders
};
return await this.mysql.executeQuery(queryObj);
},
});
Verdict as a Service (VaaS) API provides a powerful interface for automating the analysis of files and URLs for potential threats. Leveraging the capabilities of Pipedream, users can create sophisticated workflows that trigger actions based on the results of the threat analysis. From email attachments to submitted URLs, VaaS can be integrated into a variety of security and data processing pipelines to ensure safety and compliance.
import Vaas from "gdata-vaas";
export default defineComponent({
props: {
verdict_as_a_service: {
type: "app",
app: "verdict_as_a_service",
}
},
async run({steps, $}) {
// create vaas client
const vaas = await createVaasWithClientCredentialsGrant(
CLIENT_ID,
CLIENT_SECRET,
TOKEN_URL,
VAAS_URL
);
// request verdict for file
const verdict = await vaas.forFile(response.data);
if (verdict === "Malicious") {
console.log("This was malware.");
}
},
})