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VictoriaMetrics
easyproto
Go2024–2025
VictoriaMetrics / easyproto

easyproto

Simple building blocks for protobuf marshaling and unmarshaling

3Distinct people
3Mentions
0Explicit recommenders
293GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Simple building blocks for protobuf marshaling and unmarshaling

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by month3 dated mentions

Observed mentions: 2024-04-12 12:11:00 UTC to 2025-06-16 17:57:59 UTC.

0122024-04-01 00:00:00 UTC to 2024-05-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 commentsApr 20242024-05-01 00:00:00 UTC to 2024-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-06-01 00:00:00 UTC to 2024-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-07-01 00:00:00 UTC to 2024-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-08-01 00:00:00 UTC to 2024-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-09-01 00:00:00 UTC to 2024-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-10-01 00:00:00 UTC to 2024-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-11-01 00:00:00 UTC to 2024-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsNov 20242024-12-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-01-01 00:00:00 UTC to 2025-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-02-01 00:00:00 UTC to 2025-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-03-01 00:00:00 UTC to 2025-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-04-01 00:00:00 UTC to 2025-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-05-01 00:00:00 UTC to 2025-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-06-01 00:00:00 UTC to 2025-07-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsJun 2025

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Apr 20242024-04-01 00:00:00 UTC2024-05-01 00:00:00 UTC202
May 20242024-05-01 00:00:00 UTC2024-06-01 00:00:00 UTC000
Jun 20242024-06-01 00:00:00 UTC2024-07-01 00:00:00 UTC000
Jul 20242024-07-01 00:00:00 UTC2024-08-01 00:00:00 UTC000
Aug 20242024-08-01 00:00:00 UTC2024-09-01 00:00:00 UTC000
Sep 20242024-09-01 00:00:00 UTC2024-10-01 00:00:00 UTC000
Oct 20242024-10-01 00:00:00 UTC2024-11-01 00:00:00 UTC000
Nov 20242024-11-01 00:00:00 UTC2024-12-01 00:00:00 UTC000
Dec 20242024-12-01 00:00:00 UTC2025-01-01 00:00:00 UTC000
Jan 20252025-01-01 00:00:00 UTC2025-02-01 00:00:00 UTC000
Feb 20252025-02-01 00:00:00 UTC2025-03-01 00:00:00 UTC000
Mar 20252025-03-01 00:00:00 UTC2025-04-01 00:00:00 UTC000
Apr 20252025-04-01 00:00:00 UTC2025-05-01 00:00:00 UTC000
May 20252025-05-01 00:00:00 UTC2025-06-01 00:00:00 UTC000
Jun 20252025-06-01 00:00:00 UTC2025-07-01 00:00:00 UTC101

What Hacker News says

3 sources
Funny timing—I tried optimizing the Otel Go SDK a few weeks ago (https://github.com/open-telemetry/opentelemetry-go/issues/67...). I suspect you could make the tracing SDK 2x faster with some cleverness. The main tricks are: - Use a faster time.Now(). Go does a fair bit of work to convert to the Go epoch. - Use atomics instead of a mutex. I sent a PR, but the reviewer caught correctness issues. Atomics are subtle and tricky. - Directly marshal protos instead of reflection with a hand-rolled library or with https://github.com/VictoriaMetrics/easyproto. The gold standard is how TiDB implemented tracing (https://www.pingcap.com/blog/how-we-trace-a-kv-database-with...). Since Go purposefully (and reasonably) doesn't currently provide a comparable abstraction for thread-local storage, we can't implement similar tricks like special-casing when
Read the rest
a trace is modified on a single thread.
In OpenTelemetry for Go: Measuring overhead costs
The benchmark is not comparing apples to apples. prost is the most widely used Protobuf implementation in Rust, maintained by the Tokio organization. prost generates structs and serialization/deserialization code for you. easyproto according to GitHib Search is used only by two projects. easyproto provides primitives for serializing and deserializing Protobuf, and requires hand writing code to do both. A fair comparison would be prost vs google.golang.org/protobuf, or easyproto vs parts of quick-protobuf. In most cases you can make Go as fast as Rust, but from my experience writing performance-sensitive code in Go requires significantly larger time investment and overall requires deeper language expertise. Pebble (RocksDB replacement in Go by CockroachDB) is a good example of this, the codebase is littered with hand-inlined[1] functions,
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hand-unrolled loops and it's not[2] even using Go memory management for performance critical parts, it's using the C memory allocator and manual memory management. [prost]: https://github.com/tokio-rs/prost [easyproto]: https://github.com/VictoriaMetrics/easyproto [google.golang.org/protobuf]: https://github.com/protocolbuffers/protobuf-go [quick-protobuf]: https://github.com/tafia/quick-protobuf [1]: https://github.com/cockroachdb/pebble/blob/c34894c46703fd823... [2]: https://github.com/cockroachdb/pebble/blob/master/docs/memor...
In Fivefold Slower Compared to Go? Optimizing Rust's Protobuf Decoding Performance
To bring this discussion back to earth, the Go code in question is: https://github.com/VictoriaMetrics/easyproto/blob/master/rea... I don't see why did you label Aliaksandr Valialkin, the author, an "expert". I mean, he's no dummy but what exactly makes him an expert on optimizing Go code? As someone who also writes Go, I don't see any "hyper optimizations" in the code. It just decodes the bytes of Protocol Buffer using straightforward code that I would expect a competent developer to write. It really is just: read bytes from memory ([]byte) and interpret them according to PB spec. There's only one trick there: unsafeBytesToString() that does no-allocation conversion of []byte to string. This is unsafe in general but safe in their specific case. And I've seen this trick before so it's not some secret, expert-only knowledge. Most comments
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here are like bad LLMs: hallucinating opinions without bothering to spent even few minutes acquiring the data to base those opinions on.
In Fivefold Slower Compared to Go? Optimizing Rust's Protobuf Decoding Performance

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