Dromo

Dromo is a self-service data file importer that deploys in minutes. Embed in your app or trigger via API to handle csv, xls, xlsx and more.

Integrate the Dromo API with the Snowflake API

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

Create Headless Import with Dromo API on New Row from Snowflake API
Snowflake + Dromo
 
Try it
Create Headless Import with Dromo API on New Query Results from Snowflake API
Snowflake + Dromo
 
Try it
Create Headless Import with Dromo API on Failed Task in Schema from Snowflake API
Snowflake + Dromo
 
Try it
Create Headless Import with Dromo API on New Database from Snowflake API
Snowflake + Dromo
 
Try it
Create Headless Import with Dromo API on New Deleted Role from Snowflake API
Snowflake + Dromo
 
Try it
New Row from the Snowflake API

Emit new event when a row is added to a table

 
Try it
Import Needs Review from the Dromo API

Emit new event when a headless import has issues and needs a review

 
Try it
New Query Results from the Snowflake API

Run a SQL query on a schedule, triggering a workflow for each row of results

 
Try it
New Data Row Imported from the Dromo API

Emits a new event when a headless import has been completed successfully.

 
Try it
Failed Task in Schema from the Snowflake API

Emit new events when a task fails in a database schema

 
Try it
Create Headless Import with the Dromo API

Creates a new headless import. See the documentation

 
Try it
Insert Multiple Rows with the Snowflake API

Insert multiple rows into a table

 
Try it
Insert Single Row with the Snowflake API

Insert a row into a table

 
Try it

Overview of Dromo

The Dromo API is a logistics and shipment tracking service that provides real-time data on shipments across carriers. With this API, you can tap into a vast network of shipping information, automate tracking processes, send notifications on shipment updates, and integrate your logistics data with other business systems. On Pipedream, you can create workflows that leverage the Dromo API to connect with various apps, automate shipment tracking updates, and streamline logistics processes.

Connect Dromo

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    dromo: {
      type: "app",
      app: "dromo",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.dromo.io/api/v1/uploads/`,
      headers: {
        "X-Dromo-License-Key": `${this.dromo.$auth.api_key}`,
      },
    })
  },
})

Overview of Snowflake

Snowflake offers a cloud database and related tools to help developers create robust, secure, and scalable data warehouses. See Snowflake's Key Concepts & Architecture.

Getting Started

1. Create a user, role and warehouse in Snowflake

Snowflake recommends you create a new user, role, and warehouse when you integrate a third-party tool like Pipedream. This way, you can control permissions via the user / role, and separate Pipedream compute and costs with the warehouse. You can do this directly in the Snowflake UI.

We recommend you create a read-only account if you only need to query Snowflake. If you need to insert data into Snowflake, add permissions on the appropriate objects after you create your user.

2. Enter those details in Pipedream

Visit https://pipedream.com/accounts. Click the button to Connect an App. Enter the required Snowflake account data.

You'll only need to connect your account once in Pipedream. You can connect this account to multiple workflows to run queries against Snowflake, insert data, and more.

3. Build your first workflow

Visit https://pipedream.com/new to build your first workflow. Pipedream workflows let you connect Snowflake with 1,000+ other apps. You can trigger workflows on Snowflake queries, sending results to Slack, Google Sheets, or any app that exposes an API. Or you can accept data from another app, transform it with Python, Node.js, Go or Bash code, and insert it into Snowflake.

Learn more at Pipedream University.

Connect Snowflake

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
import { promisify } from 'util'
import snowflake from 'snowflake-sdk'

export default defineComponent({
  props: {
    snowflake: {
      type: "app",
      app: "snowflake",
    }
  },
  async run({steps, $}) {
    const connection = snowflake.createConnection({
      ...this.snowflake.$auth,
      application: "PIPEDREAM_PIPEDREAM",
    })
    const connectAsync = promisify(connection.connect)
    await connectAsync()
    
    async function connExecuteAsync(options) {
      return new Promise((resolve, reject) => {
        connection.execute({
          ...options,
          complete: function(err, stmt, rows) {
            if (err) {
              reject(err)
            } else {
              resolve({stmt, rows})
            }
          }
        })
      })
    }
    
    // See https://docs.snowflake.com/en/user-guide/nodejs-driver-use.html#executing-statements
    const { rows } = await connExecuteAsync({
      sqlText: `SELECT CURRENT_TIMESTAMP()`,
    })
    return rows
  },
})