MySQL

Open-source relational database

Integrate the MySQL API with the Python API

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

Run Python Code with Python API on New Column from MySQL API
MySQL + Python
 
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Run Python Code with Python API on New or Updated Row from MySQL API
MySQL + Python
 
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Run Python Code with Python API on New Row (Custom Query) from MySQL API
MySQL + Python
 
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Run Python Code with Python API on New Row from MySQL API
MySQL + Python
 
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Run Python Code with Python API on New Table from MySQL API
MySQL + Python
 
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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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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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Create Row with the MySQL API

Adds a new row. See the docs here

 
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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

 
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Delete Row with the MySQL API

Delete an existing row. See the docs here

 
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Execute Query with the MySQL API

Find row(s) via a custom query. See the docs here

 
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Execute Stored Procedure with the MySQL API

Execute Stored Procedure. See the docs here

 
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Overview of MySQL

MySQL is a powerful database management system used by some of the largest
organizations in the world, including Facebook, Google, and Amazon. MySQL is an
open-source relational database management system (RDBMS), as well as a popular
choice for web applications used by millions of websites.

Some applications that can be built using the MySQL API include:

  • A web application that stores and retrieves data from a MySQL database
  • A desktop application that uses a MySQL database for data storage
  • A mobile application that interacts with a MySQL database

Connect MySQL

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module.exports = defineComponent({
  props: {
    mysql: {
      type: "app",
      app: "mysql",
    }
  },
  async run({steps, $}) {
    const mysql = require('mysql2/promise');
    
    const { host, port, username, password, database } = this.mysql.$auth
    
    const connection = await mysql.createConnection({
      host,
      port,
      user: username,
      password,
      database,
    });
    
    const [rows, fields] = await connection.execute('SELECT NOW()');
    console.log(rows)
  },
})

Overview of Python

Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.

By using Pipedream, you can easily:

  • Create automated workflows that run on a specific schedule
  • Compose workflows across various apps and services
  • React to events in cloud services or form data
  • Automatically create content and notifications
  • Construct classifications and predictions
  • Analyze and react to sentiment, sentiment analysis and sentiment score
  • Connect backends to the frontend with serverless functions
  • Work with files and databases
  • Perform web requests and fetch data
  • Integrate third-party APIs into your apps
  • Orchestrate data processing tasks and pipelines
  • Create powerful application APIs with authentication and authorization
  • Design CI/CD pipelines and Continuous Delivery services
  • Connect databases like MongoDB and MySQL
  • Monitor connections and events
  • Generate alerts and notifications for corresponding events

Connect Python

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def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}