Linux Community · linux under load on an 8-core 16GB box — full benchmark scripts included

536
LIr/linux·posted by linlin·3 hours agoTooling

linux under load on an 8-core 16GB box — full benchmark scripts included

Most linux articles stop at "how to use it" and never cover "when not to use it". This is an attempt at the second half.

One last trap: in container environments remember to adjust the memory-related parameters in step. Otherwise the host limit and the process expectation disagree, and the symptom is intermittent, unreproducible failure.

-- The query that broke: a full scan over 20M rows.
-- A composite index took P99 from 1.8s down to 42ms.
SELECT id, title, created_at
  FROM posts
 WHERE community_id = ?
   AND status = 1
 ORDER BY score DESC
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The first thing was to collapse the variables. We were changing config and upgrading the version at the same time, and afterwards nobody could say which change caused what. We rolled back to moving one variable at a time, re-ran three times, and only then did the curve settle. Tedious, but not skippable.

Worth noting: the official docs do cover this, just in a very inconspicuous spot. I only found it reading the source comments, where the author explains the reasoning — roughly "so that it degrades into predictable behaviour in extreme cases".

What genuinely surprised me was the tail. The average looked great while P99 jumped by an order of magnitude past some threshold. The cause was not linux itself but our upstream connection reuse — the load test traffic was too clean and hid the long-tail requests.

61 comments

61 comments

M
Wwinter·2 days ago

I just read the linux source — the author actually explains the reasoning in a comment, roughly "so that it degrades into predictable behaviour in extreme cases".

481
Oops_wang·2 days ago

I see point 3 differently. The trade-off depends on your read/write ratio: read-heavy with little writing means caching actually widens the inconsistency window.

235
Llinlin·2 days ago

Thanks for sharing real numbers — far more useful than the articles that only cover concepts.

383
Zzhou_yiOP·12 minutes ago

This matches what we see in production. We only hit it past 3k QPS; the earlier load tests showed nothing — the test traffic was too clean, with no long-tail requests.

234
LlinlinMod·2 hours ago

One counter-example: below linux 7.4 the semantics of that code are different, so do not copy it verbatim. We got burned in staging and rolled back once.

73
Nnikic·2 days ago

Has anyone run a controlled experiment? I did, reducing it to a single variable, and the difference was 4% — within noise. So I suspect the main cause is something else.

50
Bbob_chen·2 days ago

One counter-example: below linux 7.4 the semantics of that code are different, so do not copy it verbatim. We got burned in staging and rolled back once.

52
Hhuang_ke·2 days ago

I see point 3 differently. The trade-off depends on your read/write ratio: read-heavy with little writing means caching actually widens the inconsistency window.

74
Aalice_dev·2 days ago

Saved. I am reworking this area this week — this saves a lot of wrong turns.

375
Ddev_zhou·2 days ago

We have run this in production for two years without hitting it. That said, we never reached this scale, so our experience is not really evidence here.

3
Sslow_query·3 minutes ago

This matches what we see in production. We only hit it past 3k QPS; the earlier load tests showed nothing — the test traffic was too clean, with no long-tail requests.

269
Cchen_dev·2 days ago

Thanks for sharing real numbers — far more useful than the articles that only cover concepts.

224
Zzhu_zong·2 days ago

Can you give a minimal reproduction? I ran it locally for ten minutes and could not reproduce on macOS with the latest version.

217
Zzhou_yi·2 days ago

There is actually a simpler fix that needs no architecture change: move this check up to the gateway and the problem disappears. The cost is one extra lookup at the gateway.

214
Bbob_chen·2 days ago

Can you give a minimal reproduction? I ran it locally for ten minutes and could not reproduce on macOS with the latest version.

174
Mmike_xu·2 days ago

A question: what changes in a container with a 512Mi memory limit? That is how we run it in production.

150
Hhuang_ke·2 days ago

Saved. I am reworking this area this week — this saves a lot of wrong turns.

151
Ttang_hao·1 hour ago

This is not a linux problem, it is a usage problem. The docs say this API is not thread-safe and you must lock around it yourself.

140
Zzhu_zong·2 days ago

We have run this in production for two years without hitting it. That said, we never reached this scale, so our experience is not really evidence here.

118
Ddev_zhouOP·2 days ago

This matches what we see in production. We only hit it past 3k QPS; the earlier load tests showed nothing — the test traffic was too clean, with no long-tail requests.

56
Aalice_dev·2 hours ago

Agreeing with the above. One addition: with this option enabled the GC count in your metrics doubles, so adjust the alert threshold at the same time or it will keep firing.

105
Bbob_chenOP·2 hours ago

Thanks for sharing real numbers — far more useful than the articles that only cover concepts.

106
Kkite·2 days ago

Agreeing with the above. One addition: with this option enabled the GC count in your metrics doubles, so adjust the alert threshold at the same time or it will keep firing.

157
Cchen_dev·2 days ago

Thanks for sharing real numbers — far more useful than the articles that only cover concepts.

65
Kkernel_panic·2 days ago

A question: what changes in a container with a 512Mi memory limit? That is how we run it in production.

99
Hhuang_ke·2 days ago

Worth learning from this debugging approach. We went straight at the logs and took a much longer route.

99
Hhuang_ke·28 minutes ago

A question: what changes in a container with a 512Mi memory limit? That is how we run it in production.

63
Ddev_zhou·3 minutes ago

I see point 3 differently. The trade-off depends on your read/write ratio: read-heavy with little writing means caching actually widens the inconsistency window.

396
Lli_mingMod·28 minutes ago

There is actually a simpler fix that needs no architecture change: move this check up to the gateway and the problem disappears. The cost is one extra lookup at the gateway.

2
Llinlin·2 days ago

This is not a linux problem, it is a usage problem. The docs say this API is not thread-safe and you must lock around it yourself.

208
Lli_ming·5 hours ago

Can you give a minimal reproduction? I ran it locally for ten minutes and could not reproduce on macOS with the latest version.

1
Nnikic·2 days ago

I see point 3 differently. The trade-off depends on your read/write ratio: read-heavy with little writing means caching actually widens the inconsistency window.

31
Cchen_dev·2 days ago

Can you give a minimal reproduction? I ran it locally for ten minutes and could not reproduce on macOS with the latest version.

85
Nnikic·2 days ago

There is actually a simpler fix that needs no architecture change: move this check up to the gateway and the problem disappears. The cost is one extra lookup at the gateway.

31
Sswoole_lee·2 days ago

Saved. I am reworking this area this week — this saves a lot of wrong turns.

185
Ddev_zhouMod·yesterday

Saved. I am reworking this area this week — this saves a lot of wrong turns.

52
Mmike_xu·just now

We have run this in production for two years without hitting it. That said, we never reached this scale, so our experience is not really evidence here.

46
Ddev_zhou·28 minutes ago

This matches what we see in production. We only hit it past 3k QPS; the earlier load tests showed nothing — the test traffic was too clean, with no long-tail requests.

248
Oops_wang·2 days ago

Has anyone run a controlled experiment? I did, reducing it to a single variable, and the difference was 4% — within noise. So I suspect the main cause is something else.

390
Rran_bo·2 hours ago

We have run this in production for two years without hitting it. That said, we never reached this scale, so our experience is not really evidence here.

21
Ttang_hao·5 hours ago

One counter-example: below linux 7.4 the semantics of that code are different, so do not copy it verbatim. We got burned in staging and rolled back once.

15
Wwinter·1 hour ago

Thanks for sharing real numbers — far more useful than the articles that only cover concepts.

14
Lli_ming·2 days ago

One counter-example: below linux 7.4 the semantics of that code are different, so do not copy it verbatim. We got burned in staging and rolled back once.

340
Ddev_zhou·2 days ago

This is not a linux problem, it is a usage problem. The docs say this API is not thread-safe and you must lock around it yourself.

55
Ttang_hao·2 days agoedited

Has anyone run a controlled experiment? I did, reducing it to a single variable, and the difference was 4% — within noise. So I suspect the main cause is something else.

3
Sswoole_lee·just now

Worth learning from this debugging approach. We went straight at the logs and took a much longer route.

8
Lli_mingMod·5 hours agoedited

Has anyone run a controlled experiment? I did, reducing it to a single variable, and the difference was 4% — within noise. So I suspect the main cause is something else.

6
Bbob_chen·just nowedited

Sharing our numbers, 8 cores 16GB, same scenario:

| Concurrency | P50 | P99 |
|---|---|---|
| 200 | 12ms | 88ms |
| 500 | 31ms | 340ms |

P99 clearly collapses at 500 concurrency, which lines up with your knee point.

1
Wwinter·2 days ago

Sharing our numbers, 8 cores 16GB, same scenario:

| Concurrency | P50 | P99 |
|---|---|---|
| 200 | 12ms | 88ms |
| 500 | 31ms | 340ms |

P99 clearly collapses at 500 concurrency, which lines up with your knee point.

104
Zzhu_zong·2 days ago

Worth learning from this debugging approach. We went straight at the logs and took a much longer route.

62
Zzhou_yi·2 days ago

I just read the linux source — the author actually explains the reasoning in a comment, roughly "so that it degrades into predictable behaviour in extreme cases".

503
Rran_bo·2 days ago

There is actually a simpler fix that needs no architecture change: move this check up to the gateway and the problem disappears. The cost is one extra lookup at the gateway.

141
Kkernel_panic·12 minutes ago

I just read the linux source — the author actually explains the reasoning in a comment, roughly "so that it degrades into predictable behaviour in extreme cases".

4
Sslow_query·2 days agoedited

A question: what changes in a container with a 512Mi memory limit? That is how we run it in production.

213
Wwinter·2 days agoedited

This is not a linux problem, it is a usage problem. The docs say this API is not thread-safe and you must lock around it yourself.

3
Cchen_dev·28 minutes agoedited

Sharing our numbers, 8 cores 16GB, same scenario:

| Concurrency | P50 | P99 |
|---|---|---|
| 200 | 12ms | 88ms |
| 500 | 31ms | 340ms |

P99 clearly collapses at 500 concurrency, which lines up with your knee point.

2
Lli_ming·2 days ago

Agreeing with the above. One addition: with this option enabled the GC count in your metrics doubles, so adjust the alert threshold at the same time or it will keep firing.

330
Llinlin·2 days ago

One counter-example: below linux 7.4 the semantics of that code are different, so do not copy it verbatim. We got burned in staging and rolled back once.

46
Bbob_chen·2 days ago

Worth learning from this debugging approach. We went straight at the logs and took a much longer route.

1
Ttang_hao·2 days ago

I just read the linux source — the author actually explains the reasoning in a comment, roughly "so that it degrades into predictable behaviour in extreme cases".

1
Mmike_xu·2 days ago

Agreeing with the above. One addition: with this option enabled the GC count in your metrics doubles, so adjust the alert threshold at the same time or it will keep firing.

1

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