Integrate the Data Stores API with the MongoDB API

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

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Popular Ways to Connect Data Stores with MongoDB#

Add or update a single record with Data Stores API on New Collection from MongoDB API

MongoDB + Data Stores

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Add or update a single record with Data Stores API on New Database from MongoDB API

MongoDB + Data Stores

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Add or update a single record with Data Stores API on New Document from MongoDB API

MongoDB + Data Stores

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Add or update a single record with Data Stores API on New Field in Document from MongoDB API

MongoDB + Data Stores

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Add or update multiple records with Data Stores API on New Collection from MongoDB API

MongoDB + Data Stores

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Popular Data Stores and MongoDB Triggers#

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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Popular Data Stores and MongoDB Actions#

Add or update a single record with the Data Stores API

Add or update a single record in your Pipedream Data Store.

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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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Add or update multiple records with the Data Stores API

Add or update multiple records to your Pipedream Data Store.

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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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Append to record with the Data Stores API

Append to a record in your data store Pipedream Data Store. If the record does not exist, a new record will be created in an array format.

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Overview of Data Stores#

Data Stores are a key-value store that allow you to persist state and share data across workflows. You can perform CRUD operations, enabling dynamic data management within your serverless architecture. Use it to save results from API calls, user inputs, or interim data; then read, update, or enrich this data in subsequent steps or workflows. Data Stores simplify stateful logic and cross-workflow communication, making them ideal for tracking process statuses, aggregating metrics, or serving as a simple configuration store.

Connect Data Stores#

export default defineComponent({
  props: {
    myDataStore: {
      type: "data_store",
    },
  },
  async run({ steps, $ }) {
    await this.myDataStore.set("key_here","Any serializable JSON as the value")
    return await this.myDataStore.get("key_here")
  },
})

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#

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()
  },
})

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