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
Ask a question to a specific bot in a specific team. 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);
},
});
DocsBot AI API transforms natural language into structured data, enabling the extraction and analysis of information from unstructured text. In Pipedream, you can leverage this API to automate workflows that require processing of text for sentiment analysis, summarization, or data extraction. With Pipedream's serverless platform, these capabilities can be integrated into diverse systems without writing complex infrastructure code.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
docsbot_ai: {
type: "app",
app: "docsbot_ai",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://docsbot.ai/api/teams/`,
headers: {
Authorization: `Bearer ${this.docsbot_ai.$auth.api_key}`,
},
})
},
})