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PostgreSQL

The World's Most Advanced Open Source Relational Database

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Integrate the PostgreSQL API with the Python API

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

Popular Ways to Connect PostgreSQL with Python

Run Python Code with Python API on New Column from PostgreSQL API
PostgreSQL + Python
 
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Run Python Code with Python API on New or Updated Row from PostgreSQL API
PostgreSQL + Python
 
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Run Python Code with Python API on New Row Custom Query from PostgreSQL API
PostgreSQL + Python
 
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Run Python Code with Python API on New Row from PostgreSQL API
PostgreSQL + Python
 
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Run Python Code with Python API on New Table from PostgreSQL API
PostgreSQL + Python
 
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Popular PostgreSQL and Python Triggers

New Column from the PostgreSQL API

Emit new event when a new column is added to a table. See Docs

 
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New or Updated Row from the PostgreSQL API

Emit new event when a row is added or modified. See Docs

 
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New Row from the PostgreSQL API

Emit new event when a new row is added to a table. See Docs

 
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New Row Custom Query from the PostgreSQL API

Emit new event when new rows are returned from a custom query that you provide. See Docs

 
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New Table from the PostgreSQL API

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

 
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Popular PostgreSQL and Python Actions

Delete Row(s) with the PostgreSQL API

Deletes a row or rows from a table. See Docs

 
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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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Execute Custom Query with the PostgreSQL API

Executes a custom query you provide. See Docs

 
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Find Row with the PostgreSQL API

Finds a row in a table via a lookup column. See Docs

 
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Find Row With Custom Query with the PostgreSQL API

Finds a row in a table via a custom query. See Docs

 
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Overview of PostgreSQL

Assuming you want a few paragraphs on what you can do with the PostgreSQL API:

The following examples demonstrate some of the things that can be done with the
PostgreSQL API:

  • Developing a custom storage engine for PostgreSQL
  • Adding a new data type to PostgreSQL
  • Creating a new function for PostgreSQL
  • Building a graphical user interface for PostgreSQL
  • And much more!

Connect PostgreSQL

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module.exports = defineComponent({
  props: {
    postgresql: {
      type: "app",
      app: "postgresql",
    }
  },
  async run({steps, $}) {
    const { Client } = require('pg')
    
    const { host, user, password, port, database } = this.postgresql.$auth
    
    const client = new Client({
      host,
      database,
      user,
      password,
      port,
    })
    
    await client.connect()
    this.results = (await client.query("SELECT NOW()")).rows
    await client.end()
  },
})

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}}
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