bminor13 · HackerTrans

8 bulan yang laludiscuss

> I think SQL is great for building everything

Are you saying that you prefer SQL over PromQL for metrics queries? I haven't tried querying metrics via SQL yet, but generally speaking have found PromQL to be one of the easier query languages to learn - more straightforward and concise IME. What advantages does SQL offer here?

bminor13

2 tahun yang laludiscuss

  Location: Raleigh, NC (US)
  Remote: Yes
  Willing to relocate: Yes
  Technologies: Backend programming (Go, C++, Rust), scripting (Python), build tools (Bazel, Buildbarn), and infra (Docker, Kubernetes) (and more!)
  Résumé/CV: https://www.linkedin.com/in/scott-minor-a360a821/
  Email: [email protected]

bminor13

2 tahun yang laludiscuss

In order to be in the same G-node, they'd need to have the same rank and be close in value (such that they were not "broken up" by a value in the next highest rank), right?

Seems like brute-force search for adjacent values with the same rank is possible, but guaranteeing that intermediate higher-rank values dont also exist may not be (for an attacker). Maybe one mitigation on this sort of attack is to search for higher-rank extra values to insert to break up large G-nodes?

This also assumes they can know the hash function (if rank is chosen by cryptographically-secure hash); maybe also salting values before hashing could thwart these sorts of attacks?

bminor13

2 tahun yang laludiscuss

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bminor13

3 tahun yang laludiscuss

> it seemed natural to have a set of generations for items that have only been seen once, and then another generation for things that have been more active

Have you looked at ARC? It sounds similar - it is a cache split between LRU and MFU areas, where the split point changes dynamically depending on the workload. https://www.youtube.com/watch?v=F8sZRBdmqc0 is a fun watch on the topic.

bminor13

3 tahun yang laludiscuss

Does anyone happen to have expertise/pointers on how ZFS' ARC interacts with Linux disk caching currently when using ZFS-on-Linux? It seems like the ARC space shows up as "used" despite being in a similar category of "made available if needed" - is that correct?

Is data in the ARC double-cached by Linux's disk caching mentioned in the post? If so, is it possible to disable this double-caching somehow?

bminor13

3 tahun yang laludiscuss

Check out https://cloud.google.com/billing/docs/how-to/export-data-big... - you can configure GCP to spit out pricing data to bigquery, to be queried however you like.

(I don't think it produces a volume of data that escapes the free tier, but I'd have to check)

bminor13

3 tahun yang laludiscuss

proto3 messsage fields allow for detecting set vs. not set; other field types (repeated, map, int32, string, bool, enum, etc.) have this "default value if not set" issue. The canonical way of handling this is to use wrapper messages (because one can detect if the wrapper is not set), and there are "well-known" canned messages/protos one can import and use without writing their own: https://protobuf.dev/reference/protobuf/google.protobuf/

Whether the codegen/libraries for a particular language provides a more idiomatic binding for these well-known wrappers is up to the implementation - for example, golang libraries have conveniences added for well known libraries: https://pkg.go.dev/google.golang.org/protobuf/types/known. Rust libraries may have the same; I'm not as familiar with the ecosystem there.

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