Slow SQL Query Execution Speed

💬 App Building
1

Hi there,

I'm facing long query run times via Retool.

Background:
I have an SQL query that pulls a list of companies the current user has access to. User permission table joined to user table and company table.
Each table has ~5 columns and ~7 records, so light tables.
Postgres DB hosted on Neon, like Retool's own resources.

Problem:
Running it via a SQL client takes at most 300ms. Typically sub 100ms.
However running the same query via a Retool app takes at least 1.5 seconds or longer.

The query is set to run on page load and triggers other query/code on success.

Any clues why this could be taking so long to execute in the app?

Is it a matter of datacenter location between my DB and Retool..?

SELECT company_id,company_name
FROM role_users ru
LEFT JOIN users usr ON ru.user_id = usr.id
LEFT JOIN companies c on c.company_id = ru.company_idp.permission_id
WHERE usr.retool_user_email = {{ current_user.email }}
ORDER BY company_name
;

2

HI @ferret141,

I experienced the same thing when moving from the Retool db to Neon. Neon uses a "serverless Postgres" model where storage is always-on, but compute (the actual running database engine) can be paused ("autosuspended") when idle. On the first query after sleep, it spins up the compute instance — and this can take 1–2 seconds (sometimes more). They call this “cold start latency” — very similar to what you see with AWS Lambda or Vercel serverless functions.

Autosuspend timeout: You can configure this (e.g., suspend after 5 minutes idle). I believe you can change this but only in Enterprise.

If this is your case and you do not have enterprise at Neon you could as a workaround perform a small query on page load and have a splashpage or modal with "loading".

Here is my query getClients running after being idle for over 5 minutes:
chrome_PSUVIplZi1

And here it is after hitting Run shortly after.
chrome_qKvm0BPDg8

3

Thanks for sharing that Shawn. I hadn't considered the cold start before.

Upon experiment I do see it happening.
2.5s initial total time vs. 1.6s total time some moments later.

However the 1.5s+ total time is still high for the simple query that executes faster elsewhere :thinking:

4

Well, we got it down a second. Let's see if we can't go a little further.

Are you able to hover over your query to get more details in the black window like I did above? This will help us along the way.

I would also see if there are any competing queries on the console.
chrome_4PEAcalUM5

Next I would break down your query to individual queries per table and run them all on load. Then compare time to see if there is a specific culprit.