Microsoft Azure SQL Database

Build apps that scale with managed and intelligent SQL database in the cloud.

Integrate the Microsoft Azure SQL Database API with the MongoDB API

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

Create New Document with MongoDB API on New Column from Microsoft Azure SQL Database API
Microsoft Azure SQL Database + MongoDB
 
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Create New Document with MongoDB API on New or Updated Row from Microsoft Azure SQL Database API
Microsoft Azure SQL Database + MongoDB
 
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Delete a Document with MongoDB API on New Column from Microsoft Azure SQL Database API
Microsoft Azure SQL Database + MongoDB
 
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Delete a Document with MongoDB API on New or Updated Row from Microsoft Azure SQL Database API
Microsoft Azure SQL Database + MongoDB
 
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Execute Aggregation with MongoDB API on New Column from Microsoft Azure SQL Database API
Microsoft Azure SQL Database + MongoDB
 
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New Column from the Microsoft Azure SQL Database API

Triggers when a new column is added to a table.

 
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New or Updated Row from the Microsoft Azure SQL Database API

Triggers when a new row is added or an existing row is updated.

 
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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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Execute Query with the Microsoft Azure SQL Database API

Executes a SQL query and returns the results. 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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Insert Row with the Microsoft Azure SQL Database API

Inserts a new row in a table. 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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Execute Aggregation with the MongoDB API

Execute an aggregation pipeline on a MongoDB collection. See the documentation

 
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Overview of Microsoft Azure SQL Database

The Microsoft Azure SQL Database API allows you to manage and interact with your SQL databases hosted on Azure directly from Pipedream. It provides a serverless way to run SQL queries, manage tables, and handle database management tasks. You can create, read, update, and delete database records, execute stored procedures, and perform a variety of other SQL operations. Leveraging this API on Pipedream enables you to automate workflows, respond to database events in real-time, and integrate with countless other apps and services.

Connect Microsoft Azure SQL Database

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import sql from "mssql"
export default defineComponent({
  props: {
    azure_sql: {
      type: "app",
      app: "azure_sql",
    }
  },
  async run({steps, $}) {
    const { host, username, password, port, database, encrypt } = this.azure_sql.$auth
    const config = {
      user: username, 
      password, 
      server: host, 
      port, 
      database, 
      authentication: {
          type: 'default'
      },
      options: {
          encrypt
      }
    }
    await sql.connect(config);
    return await sql.query`SELECT GETDATE()`
  },
})

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()
  },
})