Algolia helps businesses across industries quickly create relevant, scalable, and lightning fast Search and Discovery experiences.
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
Adds an array of JavaScript objects to the given index. See docs here
Algolia is a powerful search-as-a-service platform that makes it easy to deliver fast, relevant search experiences to users. The Algolia API allows developers to programmatically manage search indices, perform searches, and capture insights about search activity. With Pipedream, you can harness this API to automate and integrate Algolia's capabilities with other apps, creating efficient workflows that enhance search functionalities and user engagement. You can sync data across platforms, automate content indexing, and trigger actions based on search patterns or user behaviors.
import algoliasearch from "algoliasearch";
export default defineComponent({
props: {
algolia: {
type: "app",
app: "algolia",
}
},
async run({steps, $}) {
const client = algoliasearch(this.algolia.$auth.application_id, this.algolia.$auth.api_key);
return await client.listIndices()
},
})
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);
},
});