Timescale Office Hours: Wednesday, April 19, 2023

We look forward to welcoming you to our open office hours on the THIRD Wednesday of the month at midday Eastern time. See above for the time in your time zone.

These sessions are hosted by our developer advocates and community team and offer the chance to meet with other users, ask questions, and receive inputs from other Timescale users in the field. Here’s the standing agenda

  • Introductions with the Developer Advocates Chris Engelbert and Jônatas Paganini :sparkles:
  • Questions from the community
  • Latest updates from TimescaleDB (with occasional demos and product spotlights)
  • Any other business

The session will be recorded and shared here in this post after the event. If you don’t want to be recorded, you are welcome to join and stay the mic and camera off. You can still participate by joining in the text discussions.

Do you have a question for the team?

Please add your question for the team to address during office hours as a reply to this post. Lots of notice is always very welcome! Browse any existing questions to see if you can bring your experience to share in the discussion.

How to join

Office hours sessions are hosted on Zoom. Here’s the link: Launch Meeting - Zoom

Calendar reminder

To add office hours as a regular event in your calendar, bookmark the Timescale Community Calendar


How are all the Timescaledb Team ?

I hope you all had a nice Easter LOL !

I shall be joining you at Office Hours this month

I have run some benchmarks using my Timescale multinode cluster of 10 nodes
Just some brief I/O benchmarks on some simulated time-series data I produced
using the Timescale docs

Quite interesting results and lots of fun

I will save a few questions for the team for later when I post more info

eg Why does the random() function produce such huge numbers, eg a DOUBLE PRECISION datatype which ends up with say a TEMPERATURE variable with 13 decimal places ?
This makes even the smallest of time-series HUGE to save to disk !

Yours truly,

This topic was automatically closed after 33 days. New replies are no longer allowed.

Thanks for the feedback @francesco11112!

Glad to know that you enjoyed the tutorial.

As a follow up response, I’m also discussing internally how we can improve this numbers and build some more appropriated series of values that are closer to real data.