One of the common questions the Timescale community asks is how to efficiently retrieve the most recent value for each item in the database, often referred to as a “last point” query. As your hypertable data grows in scale and cardinality, these kinds of queries can become slow and impact the ability of your application to quickly retrieve critical data.
In this latest blog post, we look at 5 common approaches for getting this data efficiently, including a brief discussion on how indexes play a role and don’t always seem to help queries as you would expect.
For each option, we look at the pros and cons to help you think about which options might be usable with your application and dataset.
Enjoy the post and, as always, feel free to share your experience and add to the conversation!