[WP] Fix filtersToProgs#51499
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| // insert tail call to the current filter if not the last prog | ||
| progInsts[tailCalls] = append(progInsts[tailCalls], tailCallInsts...) |
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Chain into the final split program
When the filter being moved to a new program is the last filter (i+1 == len(filters)), tailCallInsts is empty, but this branch still finalizes the previous program and starts a new one. The previous program then falls through to footerInsts without a tail call, so the newly-created final program is loaded into the prog array but is never reachable; on older kernels with MaxProgSize 4000 this means a last large raw-packet/drop-action filter can be silently ignored whenever it does not fit after earlier filters. The split path needs a tail call whenever there are remaining filters in the next program, including the current last filter.
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Done, I removed the condition on the last filter.
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Files inventory check summaryFile checks results against ancestor f053e31a: Results for datadog-agent_7.81.0~devel.git.314.df89cd6.pipeline.115931590-1_amd64.deb:No change detected |
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| // we want to creates progs like that | ||
| // prog1 -> tc1 -> footer -> prog2 -> tc2 -> footer -> progN -> footer | ||
| // where each prog is like this | ||
| // header -> filter 1 -> tc1 -> filter 2 -> tc2 -> ... -> filter n -> footer |
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Is it not :
// where each prog is like this
// header -> filter 1 -> filter 2 -> ... -> filter n -> footer
Regression DetectorRegression Detector ResultsMetrics dashboard Baseline: f053e31 Optimization Goals: ✅ No significant changes detected
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| perf | experiment | goal | Δ mean % | Δ mean % CI | trials | links |
|---|---|---|---|---|---|---|
| ➖ | docker_containers_cpu | % cpu utilization | -0.66 | [-3.58, +2.26] | 1 | Logs |
Fine details of change detection per experiment
| perf | experiment | goal | Δ mean % | Δ mean % CI | trials | links |
|---|---|---|---|---|---|---|
| ➖ | quality_gate_logs | % cpu utilization | +0.56 | [-0.45, +1.58] | 1 | Logs bounds checks dashboard |
| ➖ | quality_gate_idle_all_features | memory utilization | +0.51 | [+0.47, +0.55] | 1 | Logs bounds checks dashboard |
| ➖ | quality_gate_idle | memory utilization | +0.07 | [+0.02, +0.12] | 1 | Logs bounds checks dashboard |
| ➖ | ddot_metrics_sum_cumulative | memory utilization | +0.07 | [-0.09, +0.22] | 1 | Logs |
| ➖ | uds_dogstatsd_to_api | ingress throughput | +0.03 | [-0.17, +0.23] | 1 | Logs |
| ➖ | file_to_blackhole_100ms_latency | egress throughput | +0.01 | [-0.11, +0.13] | 1 | Logs |
| ➖ | file_to_blackhole_500ms_latency | egress throughput | +0.00 | [-0.41, +0.41] | 1 | Logs |
| ➖ | uds_dogstatsd_to_api_v3 | ingress throughput | -0.00 | [-0.20, +0.19] | 1 | Logs |
| ➖ | file_to_blackhole_0ms_latency | egress throughput | -0.01 | [-0.52, +0.51] | 1 | Logs |
| ➖ | tcp_dd_logs_filter_exclude | ingress throughput | -0.01 | [-0.11, +0.09] | 1 | Logs |
| ➖ | tcp_syslog_to_blackhole | ingress throughput | -0.03 | [-0.19, +0.14] | 1 | Logs |
| ➖ | file_to_blackhole_1000ms_latency | egress throughput | -0.05 | [-0.50, +0.40] | 1 | Logs |
| ➖ | uds_dogstatsd_20mb_12k_contexts_20_senders | memory utilization | -0.07 | [-0.12, -0.03] | 1 | Logs |
| ➖ | file_tree | memory utilization | -0.11 | [-0.15, -0.06] | 1 | Logs |
| ➖ | quality_gate_metrics_logs | memory utilization | -0.14 | [-0.38, +0.11] | 1 | Logs bounds checks dashboard |
| ➖ | ddot_metrics_sum_cumulativetodelta_exporter | memory utilization | -0.22 | [-0.46, +0.01] | 1 | Logs |
| ➖ | ddot_metrics_sum_delta | memory utilization | -0.24 | [-0.42, -0.05] | 1 | Logs |
| ➖ | otlp_ingest_logs | memory utilization | -0.26 | [-0.35, -0.16] | 1 | Logs |
| ➖ | ddot_logs | memory utilization | -0.37 | [-0.43, -0.32] | 1 | Logs |
| ➖ | otlp_ingest_metrics | memory utilization | -0.47 | [-0.63, -0.31] | 1 | Logs |
| ➖ | ddot_metrics | memory utilization | -0.49 | [-0.69, -0.28] | 1 | Logs |
| ➖ | docker_containers_memory | memory utilization | -0.59 | [-0.69, -0.49] | 1 | Logs |
| ➖ | docker_containers_cpu | % cpu utilization | -0.66 | [-3.58, +2.26] | 1 | Logs |
Bounds Checks: ✅ Passed
| perf | experiment | bounds_check_name | replicates_passed | observed_value | links |
|---|---|---|---|---|---|
| ✅ | docker_containers_cpu | simple_check_run | 10/10 | 722 ≥ 26 | |
| ✅ | docker_containers_memory | memory_usage | 10/10 | 245.89MiB ≤ 370MiB | |
| ✅ | docker_containers_memory | simple_check_run | 10/10 | 706 ≥ 26 | |
| ✅ | file_to_blackhole_0ms_latency | memory_usage | 10/10 | 0.17GiB ≤ 1.20GiB | |
| ✅ | file_to_blackhole_0ms_latency | missed_bytes | 10/10 | 0B = 0B | |
| ✅ | file_to_blackhole_1000ms_latency | memory_usage | 10/10 | 0.20GiB ≤ 1.20GiB | |
| ✅ | file_to_blackhole_1000ms_latency | missed_bytes | 10/10 | 0B = 0B | |
| ✅ | file_to_blackhole_100ms_latency | memory_usage | 10/10 | 0.17GiB ≤ 1.20GiB | |
| ✅ | file_to_blackhole_100ms_latency | missed_bytes | 10/10 | 0B = 0B | |
| ✅ | file_to_blackhole_500ms_latency | memory_usage | 10/10 | 0.18GiB ≤ 1.20GiB | |
| ✅ | file_to_blackhole_500ms_latency | missed_bytes | 10/10 | 0B = 0B | |
| ✅ | quality_gate_idle | intake_connections | 10/10 | 3 ≤ 4 | bounds checks dashboard |
| ✅ | quality_gate_idle | memory_usage | 10/10 | 141.97MiB ≤ 147MiB | bounds checks dashboard |
| ✅ | quality_gate_idle | total_bytes_received | 10/10 | 743.00KiB ≤ 819.20KiB | bounds checks dashboard |
| ✅ | quality_gate_idle_all_features | intake_connections | 10/10 | 3 ≤ 4 | bounds checks dashboard |
| ✅ | quality_gate_idle_all_features | memory_usage | 10/10 | 474.21MiB ≤ 495MiB | bounds checks dashboard |
| ✅ | quality_gate_idle_all_features | total_bytes_received | 10/10 | 1.13MiB ≤ 1.25MiB | bounds checks dashboard |
| ✅ | quality_gate_logs | intake_connections | 10/10 | 4 ≤ 6 | bounds checks dashboard |
| ✅ | quality_gate_logs | memory_usage | 10/10 | 173.32MiB ≤ 195MiB | bounds checks dashboard |
| ✅ | quality_gate_logs | missed_bytes | 10/10 | 0B = 0B | bounds checks dashboard |
| ✅ | quality_gate_logs | total_bytes_received | 10/10 | 263.95MiB ≤ 292MiB | bounds checks dashboard |
| ✅ | quality_gate_metrics_logs | cpu_usage | 10/10 | 340.03 ≤ 2000 | bounds checks dashboard |
| ✅ | quality_gate_metrics_logs | intake_connections | 10/10 | 3 ≤ 6 | bounds checks dashboard |
| ✅ | quality_gate_metrics_logs | memory_usage | 10/10 | 376.72MiB ≤ 430MiB | bounds checks dashboard |
| ✅ | quality_gate_metrics_logs | missed_bytes | 10/10 | 0B = 0B | bounds checks dashboard |
| ✅ | quality_gate_metrics_logs | total_bytes_received | 10/10 | 0.94GiB ≤ 1.04GiB | bounds checks dashboard |
Explanation
Confidence level: 90.00%
Effect size tolerance: |Δ mean %| ≥ 5.00%
Performance changes are noted in the perf column of each table:
- ✅ = significantly better comparison variant performance
- ❌ = significantly worse comparison variant performance
- ➖ = no significant change in performance
A regression test is an A/B test of target performance in a repeatable rig, where "performance" is measured as "comparison variant minus baseline variant" for an optimization goal (e.g., ingress throughput). Due to intrinsic variability in measuring that goal, we can only estimate its mean value for each experiment; we report uncertainty in that value as a 90.00% confidence interval denoted "Δ mean % CI".
For each experiment, we decide whether a change in performance is a "regression" -- a change worth investigating further -- if all of the following criteria are true:
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Its estimated |Δ mean %| ≥ 5.00%, indicating the change is big enough to merit a closer look.
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Its 90.00% confidence interval "Δ mean % CI" does not contain zero, indicating that if our statistical model is accurate, there is at least a 90.00% chance there is a difference in performance between baseline and comparison variants.
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Its configuration does not mark it "erratic".
CI Pass/Fail Decision
✅ Passed. All Quality Gates passed.
- quality_gate_logs, bounds check missed_bytes: 10/10 replicas passed. Gate passed.
- quality_gate_logs, bounds check memory_usage: 10/10 replicas passed. Gate passed.
- quality_gate_logs, bounds check total_bytes_received: 10/10 replicas passed. Gate passed.
- quality_gate_logs, bounds check intake_connections: 10/10 replicas passed. Gate passed.
- quality_gate_idle, bounds check memory_usage: 10/10 replicas passed. Gate passed.
- quality_gate_idle, bounds check intake_connections: 10/10 replicas passed. Gate passed.
- quality_gate_idle, bounds check total_bytes_received: 10/10 replicas passed. Gate passed.
- quality_gate_metrics_logs, bounds check memory_usage: 10/10 replicas passed. Gate passed.
- quality_gate_metrics_logs, bounds check intake_connections: 10/10 replicas passed. Gate passed.
- quality_gate_metrics_logs, bounds check missed_bytes: 10/10 replicas passed. Gate passed.
- quality_gate_metrics_logs, bounds check cpu_usage: 10/10 replicas passed. Gate passed.
- quality_gate_metrics_logs, bounds check total_bytes_received: 10/10 replicas passed. Gate passed.
- quality_gate_idle_all_features, bounds check memory_usage: 10/10 replicas passed. Gate passed.
- quality_gate_idle_all_features, bounds check intake_connections: 10/10 replicas passed. Gate passed.
- quality_gate_idle_all_features, bounds check total_bytes_received: 10/10 replicas passed. Gate passed.
What does this PR do?
Fix the function
filtersToProgs.Motivation
The function was intended to generate programs capped at 4,000 instructions. However, the algorithm would split the program only after adding the filter that caused the instruction limit to be exceeded.
Describe how you validated your changes
Here is an example of the sizes of the progs before and after the fix.
After the fix the test fails because we need more than 5 tail calls.
For example, the first filter contains 87 instructions (3,500 NOPs), including all the additional instructions. After the fix, the instruction count increases by 4 due to the insertion of the tail call.