MySQL is an open-source relational database management system.
Emit new event when a new run is created in Seqera. See the documentation
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
Creates a new compute environment in Seqera Tower. See the documentation
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);
},
});
The Seqera API serves as a connection point for handling complex data pipeline and workflow orchestration tasks within the life sciences domain. With this API, you can manage workflows, monitor pipeline executions, and control job submissions. Leveraging Pipedream, you can seamlessly integrate Seqera with various services to automate processes, react to pipeline events, or synchronize data across platforms, thus enhancing efficiency in bioinformatics analysis.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
seqera: {
type: "app",
app: "seqera",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.tower.nf/user-info`,
headers: {
Authorization: `Bearer ${this.seqera.$auth.api_token}`,
},
})
},
})