#community-help

Understanding Cluster Metrics in Typesense

TLDR Sergio requested for more information on Cluster Metrics such as typesense_memory_mapped_bytes and typesense_memory_metadata_bytes. Jason and Kishore Nallan provided details on the intended use and meaning of these metrics.

12mo

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Oct 05, 2022 (12 months ago)

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Sergio

04:07 PM

Do you have documented details regarding Cluster Metrics? Gathered from /metrics.json?

04:07

Sergio

04:07 PM

For example typesense_memory_mapped_bytes or typesense_memory_metadata_bytes

04:28

Sergio

04:28 PM

And also, understand which is the optimal values for such, or warning ones

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Jason

06:59 PM

Those are mainly for debugging purposes, so we haven’t yet documented it

07:00

Jason

07:00 PM

You generally want to be looking at typesense_memory_active_bytes (IIRC) for the actual RAM + Swap that typesense is using, and make sure it never exceeds the total system memory

Sergio

07:01 PM

Thought metadata_bytes where related to collection usage

07:02

Sergio

07:02 PM

And called my attention that fragmentation_ratio is not like documented in Redis. Even if apparently you use same logic.
> A fragmentation ratio less than 1.0 means that Redis requires more memory than is available on the system and so it has resorted to using swap memory resources.
https://www.dynatrace.com/news/blog/introducing-redis-server-monitoring/

Oct 06, 2022 (12 months ago)

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Kishore Nallan

03:34 PM

Some of these metrics are jemalloc metrics, see stats.mapped etc. on this page: https://manpages.ubuntu.com/manpages/jammy/man3/jemalloc.3.html

Fragmentation ratio is defined as memory allocated divided by memory active. It reflects the additional memory wasted during allocations by the allocator (jemalloc).

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