Integrate the DigitalOcean Spaces API with the MySQL API

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

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Popular Ways to Connect DigitalOcean Spaces with MySQL#

Execute Raw Query with MySQL API on File Deleted from DigitalOcean Spaces API

DigitalOcean Spaces + MySQL

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Execute Raw Query with MySQL API on New File Uploaded from DigitalOcean Spaces API

DigitalOcean Spaces + MySQL

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Create Row with MySQL API on File Deleted from DigitalOcean Spaces API

DigitalOcean Spaces + MySQL

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Create Row with MySQL API on New File Uploaded from DigitalOcean Spaces API

DigitalOcean Spaces + MySQL

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Delete Files with DigitalOcean Spaces API on New Column from MySQL API

MySQL + DigitalOcean Spaces

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Popular DigitalOcean Spaces and MySQL Triggers#

File Deleted from the DigitalOcean Spaces API

Emit new event when a file is deleted from a DigitalOcean Spaces bucket

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New File Uploaded from the DigitalOcean Spaces API

Emit new event when a file is uploaded to a DigitalOcean Spaces bucket

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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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Popular DigitalOcean Spaces and MySQL Actions#

Delete Files with the DigitalOcean Spaces API

Delete files in a bucket. See the docs.

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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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Create Row with the MySQL API

Adds a new row. See the docs here

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List Files with the DigitalOcean Spaces API

List files in a bucket. See the docs.

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Delete Row with the MySQL API

Delete an existing row. See the docs here

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Overview of DigitalOcean Spaces#

DigitalOcean Spaces API permits you to manage object storage, allowing for the storage and serving of massive amounts of data. This API is great for backing up, archiving, and providing public access to data or assets. On Pipedream, you can use this API to automate file operations like uploads, downloads, and deletions, as well as manage permissions and metadata. You can integrate it with other services for end-to-end workflow automation.

Connect DigitalOcean Spaces#

import { S3 } from "@aws-sdk/client-s3";
import { ListBucketsCommand  } from "@aws-sdk/client-s3";

export default defineComponent({
  props: {
    digitalocean_spaces: {
      type: "app",
      app: "digitalocean_spaces"
    }
  },
  async run({ steps, $ }) {
    console.log(this.digitalocean_spaces.$auth)
    const s3Client = new S3({
        forcePathStyle: false, // Configures to use subdomain/virtual calling format.
        endpoint: `https://${this.digitalocean_spaces.$auth.region}.digitaloceanspaces.com`,
        region: "us-east-1",
        credentials: {
          accessKeyId: this.digitalocean_spaces.$auth.key,
          secretAccessKey: this.digitalocean_spaces.$auth.secret
        }
    });

    const data = await s3Client.send(new ListBucketsCommand({}));
    return data.Buckets;
  },
})

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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