Databricks

Databricks is the lakehouse company, helping data teams solve the world’s toughest problems.

Integrate the Databricks API with the MongoDB API

Setup the Databricks API trigger to run a workflow which integrates with the MongoDB API. Pipedream's integration platform allows you to integrate Databricks and MongoDB remarkably fast. Free for developers.

Get Run Output with Databricks API on New Collection from MongoDB API
MongoDB + Databricks
 
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Get Run Output with Databricks API on New Database from MongoDB API
MongoDB + Databricks
 
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Get Run Output with Databricks API on New Document from MongoDB API
MongoDB + Databricks
 
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Get Run Output with Databricks API on New Field in Document from MongoDB API
MongoDB + Databricks
 
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List Runs with Databricks API on New Collection from MongoDB API
MongoDB + Databricks
 
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New Collection from the MongoDB API

Emit new an event when a new collection is added to a database

 
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New Database from the MongoDB API

Emit new an event when a new database is added

 
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New Document from the MongoDB API

Emit new an event when a new document is added to a collection

 
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New Field in Document from the MongoDB API

Emit new an event when a new field is added to a document

 
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Get Run Output with the Databricks API

Retrieve the output and metadata of a single task run. See the documentation

 
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Create New Document with the MongoDB API

Create a new document in a collection of your choice. See the docs here

 
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List Runs with the Databricks API

Lists all runs available to the user. See the documentation

 
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Delete a Document with the MongoDB API

Delete a single document by ID. See the docs here

 
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Run Job Now with the Databricks API

Run a job now and return the id of the triggered run. See the documentation

 
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Overview of Databricks

The Databricks API allows you to interact programmatically with Databricks services, enabling you to manage clusters, jobs, notebooks, and other resources within Databricks environments. Through Pipedream, you can leverage these APIs to create powerful automations and integrate with other apps for enhanced data processing, transformation, and analytics workflows. This unlocks possibilities like automating cluster management, dynamically running jobs based on external triggers, and orchestrating complex data pipelines with ease.

Connect Databricks

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    databricks: {
      type: "app",
      app: "databricks",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.databricks.$auth.domain}.cloud.databricks.com/api/2.0/clusters/list`,
      headers: {
        Authorization: `Bearer ${this.databricks.$auth.access_token}`,
      },
    })
  },
})

Overview of MongoDB

The MongoDB API provides powerful capabilities to interact with a MongoDB database, allowing you to perform CRUD (Create, Read, Update, Delete) operations, manage databases, and execute sophisticated queries. With Pipedream, you can harness these abilities to automate tasks, sync data across various apps, and react to events in real-time. It’s a combo that’s particularly potent for managing data workflows, syncing application states, or triggering actions based on changes to your data.

Connect MongoDB

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import mongodb from 'mongodb'

export default defineComponent({
  props: {
    mongodb: {
      type: "app",
      app: "mongodb",
    },
    collection: {
      type: "string"
    },
    filter: {
      type: "object"
    }
  },
  async run({steps, $}) {
    const MongoClient = mongodb.MongoClient
    
    const {
      database,
      hostname,
      username,
      password,
    } = this.mongodb.$auth
    
    const url = `mongodb+srv://${username}:${password}@${hostname}/test?retryWrites=true&w=majority`
    const client = await MongoClient.connect(url, { 
      useNewUrlParser: true, 
      useUnifiedTopology: true 
    })
    
    const db = client.db(database)

    const results = await db.collection(this.collection).find(this.filter).toArray();
    $.export('results', results);
    
    await client.close()
  },
})