PG_NET

A PostgreSQL extension that enables asynchronous (non-blocking) HTTP/HTTPS requests with SQL

Documentation: https://supabase.github.io/pg_net

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Contents

• Introduction
• Technical Explanation
• Installation
• Configuration
• Requests API
  • Monitoring requests
  • GET requests
  • POST requests
  • DELETE requests
• Practical Examples
  • Syncing data with an external data source using triggers
  • Calling a serverless function every minute with PG_CRON
  • Retrying failed requests
• Contributing

---

Introduction

The PG_NET extension enables PostgreSQL to make asynchronous HTTP/HTTPS requests in SQL. It eliminates the need for servers to continuously poll for database changes and instead allows the database to proactively notify external resources about significant events. It seamlessly integrates with triggers, cron jobs (e.g., PG_CRON), and procedures, unlocking numerous possibilities. Notably, PG_NET powers Supabase's Webhook functionality, highlighting its robustness and reliability.

Common use cases for the PG_NET extension include:

• Calling external APIs
• Syncing data with outside resources
• Calling a serverless function when an event, such as an insert, occurred

However, it is important to note that the extension has a few limitations. Currently, it only supports three types of asynchronous requests:

• async http GET requests
• async http POST requests with a JSON payload
• async http DELETE requests

Ultimately, though, PG_NET offers developers more flexibility in how they monitor and connect their database with external resources.

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Technical Explanation

The extension introduces a new net schema, which contains two unlogged tables, a type of table in PostgreSQL that offers performance improvements at the expense of durability. You can read more about unlogged tables here. The two tables are:

1. http_request_queue: This table serves as a queue for requests waiting to be executed. Upon successful execution of a request, the corresponding data is removed from the queue.

   The SQL statement to create this table is:

   CREATE UNLOGGED TABLE
       net.http_request_queue (
           id bigint NOT NULL DEFAULT nextval('net.http_request_queue_id_seq'::regclass),
           method text NOT NULL,
           url text NOT NULL,
           headers jsonb NOT NULL,
           body bytea NULL,
           timeout_milliseconds integer NOT NULL
       )

2. _http_response: This table holds the responses of each executed request.

   The SQL statement to create this table is:

   CREATE UNLOGGED TABLE
       net._http_response (
           id bigint NULL,
           status_code integer NULL,
           content_type text NULL,
           headers jsonb NULL,
           content text NULL,
           timed_out boolean NULL,
           error_msg text NULL,
           created timestamp with time zone NOT NULL DEFAULT now()
       )

When any of the three request functions (http_get, http_post, http_delete) are invoked, they create an entry in the net.http_request_queue table.

The extension employs C's libCurl library within a PostgreSQL background worker to manage HTTP requests. This background worker regularly checks the http_request_queue table and executes the requests it finds there.

Once a response is received, it gets stored in the _http_response table. By monitoring this table, you can keep track of response statuses and messages.

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Installation

Enabling the Extension with Supabase

You can activate the pg_net extension via Supabase's dashboard by following these steps:

1. Navigate to the 'Database' page.
2. Select 'Extensions' from the sidebar.
3. Search for "pg_net" and enable the extension.

Local Setup

Configuring Your Device/Server

Clone this repo and run

make && make install

To make the extension available to the database add on postgresql.conf:

shared_preload_libraries = 'pg_net'

By default, pg_net is available on the postgres database. To use pg_net on a different database, you can add the following on postgresql.conf:

pg_net.database_name = '<dbname>';

Using pg_net on multiple databases in a cluster is not supported.

Installing in PostgreSQL

To activate the extension in PostgreSQL, run the create extension command. The extension creates its own schema named net to avoid naming conflicts.

create extension pg_net;

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Extension Configuration

the extension creates 3 configurable variables:

1. pg_net.batch_size (default: 200): An integer that limits the max number of rows that the extension will process from net.http_request_queue during each read
2. pg_net.ttl (default: 6 hours): An interval that defines the max time a row in the net.http_response will live before being deleted
3. pg_net.database_name (default: 'postgres'): A string that defines which database the extension is applied to

All these variables can be viewed with the following commands:

show pg_net.batch_size;
show pg_net.ttl;
show pg_net.database_name;

You can change these by editing the postgresql.conf file (find it with SHOW config_file;) or with ALTER SYSTEM:

alter system set pg_net.ttl to '1 hour'
alter system set pg_net.batch_size to 500;

Then, reload the settings and restart the pg_net background worker with:

select net.worker_restart();

Note that doing ALTER SYSTEM requires SUPERUSER but on PostgreSQL >= 15, you can do:

grant alter system on parameter pg_net.ttl to <role>;
grant alter system on parameter pg_net.batch_size to <role>;

To allow regular users to update pg_net settings.

Requests API

GET requests

net.http_get function signature

net.http_get(
    -- url for the request
    url text,
    -- key/value pairs to be url encoded and appended to the `url`
    params jsonb default '{}'::jsonb,
    -- key/values to be included in request headers
    headers jsonb default '{}'::jsonb,
    -- the maximum number of milliseconds the request may take before being cancelled
    timeout_milliseconds int default 1000
)
    -- request_id reference
    returns bigint

    strict
    volatile
    parallel safe
    language plpgsql

Examples:

The following examples use the Postman Echo API.

Calling an API

SELECT net.http_get (
    'https://postman-echo.com/get?foo1=bar1&foo2=bar2'
) AS request_id;

NOTE: You can view the response with the following query:

SELECT *
FROM net._http_response;

Calling an API with URL encoded params

SELECT net.http_get(
  'https://postman-echo.com/get',
  -- Equivalent to calling https://postman-echo.com/get?foo1=bar1&foo2=bar2&encoded=%21
  -- The "!" is url-encoded as %21
  '{"foo1": "bar1", "foo2": "bar2", "encoded": "!"}'::JSONB
) AS request_id;

Calling an API with an API-KEY

SELECT net.http_get(
  'https://postman-echo.com/get?foo1=bar1&foo2=bar2',
   headers := '{"API-KEY-HEADER": "<API KEY>"}'::JSONB
) AS request_id;

POST requests

net.http_post function signature

net.http_post(
    -- url for the request
    url text,
    -- body of the POST request
    body jsonb default '{}'::jsonb,
    -- key/value pairs to be url encoded and appended to the `url`
    params jsonb default '{}'::jsonb,
    -- key/values to be included in request headers
    headers jsonb default '{"Content-Type": "application/json"}'::jsonb,
    -- the maximum number of milliseconds the request may take before being cancelled
    timeout_milliseconds int default 1000
)
    -- request_id reference
    returns bigint

    volatile
    parallel safe
    language plpgsql

Examples:

The following examples post to the Postman Echo API.

Sending data to an API

SELECT net.http_post(
    'https://postman-echo.com/post',
    '{"key": "value", "key": 5}'::JSONB,
    headers := '{"API-KEY-HEADER": "<API KEY>"}'::JSONB
) AS request_id;

Sending single table row as a payload

NOTE: If multiple rows are sent using this method, each row will be sent as a separate request.

WITH selected_row AS (
    SELECT
        *
    FROM target_table
    LIMIT 1
)
SELECT
    net.http_post(
        'https://postman-echo.com/post',
        to_jsonb(selected_row.*),
        headers := '{"API-KEY-HEADER": "<API KEY>"}'::JSONB
    ) AS request_id
FROM selected_row;

Sending multiple table rows as a payload

WARNING: when sending multiple rows, be careful to limit your payload size.

WITH selected_rows AS (
    SELECT
        -- Converts all the rows into a JSONB array
        jsonb_agg(to_jsonb(target_table)) AS JSON_payload
    FROM target_table
    -- Generally good practice to LIMIT the max amount of rows
)
SELECT
    net.http_post(
        'https://postman-echo.com/post'::TEXT,
        JSON_payload,
        headers := '{"API-KEY-HEADER": "<API KEY>"}'::JSONB
    ) AS request_id
FROM selected_rows;

DELETE requests

net.http_delete function signature

net.http_delete(
    -- url for the request
    url text,
    -- key/value pairs to be url encoded and appended to the `url`
    params jsonb default '{}'::jsonb,
    -- key/values to be included in request headers
    headers jsonb default '{}'::jsonb,
    -- the maximum number of milliseconds the request may take before being cancelled
    timeout_milliseconds int default 2000
)
    -- request_id reference
    returns bigint

    strict
    volatile
    parallel safe
    language plpgsql
    security definer

Examples:

The following examples use the Dummy Rest API.

Sending a delete request to an API

SELECT net.http_delete(
    'https://dummy.restapiexample.com/api/v1/delete/2'
) AS request_id;

Sending a delete request with a row id as a query param

WITH selected_id AS (
    SELECT
        id
    FROM target_table
    LIMIT 1 -- if not limited, it will make a delete request for each returned row
)
SELECT
    net.http_delete(
        'https://dummy.restapiexample.com/api/v1/delete/'::TEXT,
        format('{"id": "%s"}', id)::JSONB
    ) AS request_id
FROM selected_id;

Sending a delete request with a row id as a path param

WITH selected_id AS (
    SELECT
        id
    FROM target_table
    LIMIT 1 -- if not limited, it will make a delete request for each returned row
)
SELECT
    net.http_delete(
        'https://dummy.restapiexample.com/api/v1/delete/' || id
    ) AS request_id
FROM selected_row

---

Practical Examples

Syncing data with an external data source using triggers

The following example comes from Typesense's Supabase Sync guide

-- Create the function to delete the record from Typesense
CREATE OR REPLACE FUNCTION delete_record()
    RETURNS TRIGGER
    LANGUAGE plpgSQL
AS $$
BEGIN
    SELECT net.http_delete(
        url := format('<TYPESENSE URL>/collections/products/documents/%s', OLD.id),
        headers := '{"X-Typesense-API-KEY": "<Typesense_API_KEY>"}'
    )
    RETURN OLD;
END $$;

-- Create the trigger that calls the function when a record is deleted from the products table
CREATE TRIGGER delete_products_trigger
    AFTER DELETE ON public.products
    FOR EACH ROW
    EXECUTE FUNCTION delete_products();

Calling a serverless function every minute with PG_CRON

The PG_CRON extension enables PostgreSQL to become its own cron server. With it you can schedule regular calls to activate serverless functions.

Useful links:

• Supabase PG_CRON Installation Guide
• Cron Syntax Helper

Example Cron job to call serverless function

SELECT cron.schedule(
	'cron-job-name',
	'* * * * *', -- Executes every minute (cron syntax)
	$$
	    -- SQL query
	    SELECT net.http_get(
		-- URL of Edge function
		url:='https://<reference id>.functions.Supabase.co/example',
		headers:='{
		    "Content-Type": "application/json",
		    "Authorization": "Bearer <TOKEN>"
		}'::JSONB
	    ) as request_id;
	$$
);

Retrying failed requests

Every request made is logged within the net._http_response table. To identify failed requests, you can execute a query on the table, filtering for requests where the status code is 500 or higher.

Finding failed requests

SELECT
    *
FROM net._http_response
WHERE status_code >= 500;

While the net._http_response table logs each request, it doesn't store all the necessary information to retry failed requests. To facilitate this, we need to create a request tracking table and a wrapper function around the PG_NET request functions. This will help us store the required details for each request.

Creating a Request Tracker Table

CREATE TABLE request_tracker(
    method TEXT,
    url TEXT,
    params JSONB,
    body JSONB,
    headers JSONB,
    request_id BIGINT
)

Below is a function called request_wrapper, which wraps around the PG_NET request functions. This function records every request's details in the request_tracker table, facilitating future retries if needed.

Creating a Request Wrapper Function

CREATE OR REPLACE FUNCTION request_wrapper(
    method TEXT,
    url TEXT,
    params JSONB DEFAULT '{}'::JSONB,
    body JSONB DEFAULT '{}'::JSONB,
    headers JSONB DEFAULT '{}'::JSONB
)
RETURNS BIGINT
AS $$
DECLARE
    request_id BIGINT;
BEGIN

    IF method = 'DELETE' THEN
        SELECT net.http_delete(
            url:=url,
            params:=params,
            headers:=headers
        ) INTO request_id;
    ELSIF method = 'POST' THEN
        SELECT net.http_post(
            url:=url,
            body:=body,
            params:=params,
            headers:=headers
        ) INTO request_id;
    ELSIF method = 'GET' THEN
        SELECT net.http_get(
            url:=url,
            params:=params,
            headers:=headers
        ) INTO request_id;
    ELSE
        RAISE EXCEPTION 'Method must be DELETE, POST, or GET';
    END IF;

    INSERT INTO request_tracker (method, url, params, body, headers, request_id)
    VALUES (method, url, params, body, headers, request_id);

    RETURN request_id;
END;
$$
LANGUAGE plpgsql;

To retry a failed request recorded via the wrapper function, use the following query. This will select failed requests, retry them, and then remove the original request data from both the net._http_response and request_tracker tables.

Retrying failed requests

WITH retry_request AS (
    SELECT
        request_tracker.method,
        request_tracker.url,
        request_tracker.params,
        request_tracker.body,
        request_tracker.headers,
        request_tracker.request_id
    FROM request_tracker
    INNER JOIN net._http_response ON net._http_response.id = request_tracker.request_id
    WHERE net._http_response.status_code >= 500
    LIMIT 3
),
retry AS (
    SELECT
        request_wrapper(retry_request.method, retry_request.url, retry_request.params, retry_request.body, retry_request.headers)
    FROM retry_request
),
delete_http_response AS (
    DELETE FROM net._http_response
    WHERE id IN (SELECT request_id FROM retry_request)
    RETURNING *
)
DELETE FROM request_tracker
WHERE request_id IN (SELECT request_id FROM retry_request)
RETURNING *;

The above function can be called using cron jobs or manually to retry failed requests. It may also be beneficial to clean the request_tracker table in the process.

Contributing

Checkout the Contributing page to learn more about adding to the project.