Integrate the Cloudinary API with the Snowflake API

Enables you to get a report on the status of your Cloudinary account usage details, including storage, credits, bandwidth, requests, number of resources, and add-on usage. See the documentation

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Get Resources with the Cloudinary API

Lists resources (assets) uploaded to your product environment. See the documentation

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Image Transformation with the Cloudinary API

Transforms images on-the-fly. It modifies them to any required format, style and dimension, resize and crop the images, etc. See the documentation

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Resource Transformation with the Cloudinary API

Transforms image or video resources on-the-fly. It allows transformation options for resource optimization (i.e. web viewing), resize and crop the resources, etc. Image transformation documentation. Video transformation documentation

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Insert Multiple Rows with the Snowflake API

Insert multiple rows into a table

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Overview of Cloudinary#

The Cloudinary API empowers developers to manage media assets in the cloud with ease. It allows for uploading, storing, optimizing, and delivering images and videos with automated transformations to ensure the content is tailored for any device or platform. This API's versatility is key for automating workflows that require dynamic media handling, such as resizing images on-the-fly, converting video formats, or even extracting metadata for asset management.

Connect Cloudinary#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    cloudinary: {
      type: "app",
      app: "cloudinary",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.cloudinary.com/v1_1/${this.cloudinary.$auth.cloud_name}/resources/image`,
      auth: {
        username: `${this.cloudinary.$auth.api_key}`,
        password: `${this.cloudinary.$auth.api_secret}`,
      },
    })
  },
})

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#

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
  },
})