Integrate the Cloudinary API with the MySQL API

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

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Popular Ways to Connect Cloudinary with MySQL#

Get Account Usage Details with Cloudinary API on New Column from MySQL API

MySQL + Cloudinary

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Get Account Usage Details with Cloudinary API on New or Updated Row from MySQL API

MySQL + Cloudinary

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Get Account Usage Details with Cloudinary API on New Row (Custom Query) from MySQL API

MySQL + Cloudinary

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Get Account Usage Details with Cloudinary API on New Row from MySQL API

MySQL + Cloudinary

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Get Account Usage Details with Cloudinary API on New Table from MySQL API

MySQL + Cloudinary

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Popular Cloudinary and MySQL Triggers#

New Column from the MySQL API

Emit new event when you add a new column to a table. See the docs here

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New or Updated Row from the MySQL API

Emit new event when you add or modify a new row in a table. See the docs here

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New Row from the MySQL API

Emit new event when you add a new row to a table. See the docs here

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New Row (Custom Query) from the MySQL API

Emit new event when new rows are returned from a custom query. See the docs here

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New Table from the MySQL API

Emit new event when a new table is added to a database. See the docs here

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Popular Cloudinary and MySQL Actions#

Get Account Usage Details with the Cloudinary 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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Execute SQL Query with the MySQL API

Execute a custom MySQL query. See our docs to learn more about working with SQL in Pipedream.

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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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Create Row with the MySQL API

Adds a new row. See the docs here

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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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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 MySQL#

The MySQL application on Pipedream enables direct interaction with your MySQL databases, allowing you to perform CRUD operations—create, read, update, delete—on your data with ease. You can leverage these capabilities to automate data synchronization, report generation, and event-based triggers that kick off workflows in other apps. With Pipedream's serverless platform, you can connect MySQL to hundreds of other services without managing infrastructure, crafting complex code, or handling authentication.

Connect MySQL#

import mysql from '@pipedream/mysql';

export default defineComponent({
  props: {
    mysql,
  },
  async run({steps, $}) {
    // Component source code:
    // https://github.com/PipedreamHQ/pipedream/tree/master/components/mysql

    const queryObj = {
      sql: "SELECT NOW()",
      values: [], // Ignored since query does not contain placeholders
    };
    return await this.mysql.executeQuery(queryObj);
  },
});

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