test(crashtracking): add minimal LD preload test for crashtracker collector by gyuheon0h · Pull Request #1428 · DataDog/libdatadog

gyuheon0h · 2026-01-04T19:50:56Z

What does this PR do?

Adds test_collector_no_allocations_stacktrace_modes, which runs the crash tracker under LD_PRELOAD with a custom allocator hook that logs any allocation in the collector.
Executes the crashtracker binary across all StacktraceCollection modes via the env var DD_TEST_STACKTRACE_COLLECTION:
- disabled
- without_symbols
- receiver_symbols
- inprocess_symbols
For each mode, the test:
- Cleans any previous /tmp/preload_detector.log
- Runs the crashtracker null-deref scenario with TestMode::RuntimePreloadLogger
- After the run, checks for /tmp/preload_detector.log
- If the mode is inprocess_symbols, it expects the log to exist (symbol resolution is known to allocate); logs are printed if present.
- For the other modes, it expects no log.

Motivation

We want to validate all uses of non-signal-safe functions in the handler.

How to test the change?

You can run the test_collector_no_allocations_stacktrace_modes test. You can also add allocations in the signal hander path and observe the test behavior

gyuheon0h · 2026-01-04T19:51:20Z

test(crashtracking): add minimal LD preload test for crashtracker collector #1428 👈 (View in Graphite)
main

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codecov-commenter · 2026-01-04T20:15:50Z

Codecov Report

❌ Patch coverage is 34.42623% with 40 lines in your changes missing coverage. Please review.
✅ Project coverage is 71.03%. Comparing base (cd903df) to head (ce1d7db).
⚠️ Report is 1 commits behind head on main.

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #1428      +/-   ##
==========================================
+ Coverage   70.96%   71.03%   +0.07%     
==========================================
  Files         421      422       +1     
  Lines       68438    68697     +259     
==========================================
+ Hits        48567    48802     +235     
- Misses      19871    19895      +24

Components	Coverage Δ
libdd-crashtracker	`61.26% <0.00%> (-0.15%)`	⬇️
libdd-crashtracker-ffi	`16.50% <ø> (ø)`
libdd-alloc	`98.73% <ø> (ø)`
libdd-data-pipeline	`86.84% <ø> (+0.56%)`	⬆️
libdd-data-pipeline-ffi	`78.57% <ø> (ø)`
libdd-common	`80.97% <ø> (ø)`
libdd-common-ffi	`74.54% <ø> (ø)`
libdd-telemetry	`59.82% <ø> (+0.03%)`	⬆️
libdd-telemetry-ffi	`21.17% <ø> (ø)`
libdd-dogstatsd-client	`83.75% <ø> (ø)`
datadog-ipc	`82.70% <ø> (+0.10%)`	⬆️
libdd-profiling	`81.51% <ø> (+0.01%)`	⬆️
libdd-profiling-ffi	`64.71% <ø> (ø)`
datadog-sidecar	`34.94% <ø> (ø)`
datdog-sidecar-ffi	`10.25% <ø> (ø)`
spawn-worker	`55.18% <ø> (ø)`
libdd-tinybytes	`93.43% <ø> (ø)`
libdd-trace-normalization	`82.33% <ø> (ø)`
libdd-trace-obfuscation	`94.17% <ø> (ø)`
libdd-trace-protobuf	`61.18% <ø> (ø)`
libdd-trace-utils	`89.45% <ø> (ø)`
datadog-tracer-flare	`63.49% <ø> (ø)`
libdd-log	`75.57% <ø> (ø)`

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pr-commenter · 2026-01-04T20:18:04Z

Benchmarks

Comparison

Benchmark execution time: 2026-01-29 16:41:12

Comparing candidate commit ce1d7db in PR branch gyuheon0h/prof-13289-ld-preload_ with baseline commit 7f30d50 in branch main.

Found 0 performance improvements and 0 performance regressions! Performance is the same for 57 metrics, 2 unstable metrics.

Candidate

Candidate benchmark details

Group 1

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`ce1d7db`	1769703869	gyuheon0h/prof-13289-ld-preload_

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
profile_add_sample_frames_x1000	execution_time	3.961ms	3.968ms ± 0.006ms	3.967ms ± 0.002ms	3.969ms	3.971ms	3.973ms	4.051ms	2.10%	10.973	139.709	0.16%	0.000ms	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
profile_add_sample_frames_x1000	execution_time	[3.967ms; 3.969ms] or [-0.022%; +0.022%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`ce1d7db`	1769703869	gyuheon0h/prof-13289-ld-preload_

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	execution_time	535.276µs	536.871µs ± 1.286µs	536.462µs ± 0.553µs	537.392µs	539.085µs	541.515µs	544.128µs	1.43%	2.011	5.937	0.24%	0.091µs	1	200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	1837804.459op/s	1862656.203op/s ± 4439.911op/s	1864066.564op/s ± 1924.131op/s	1865675.584op/s	1867207.282op/s	1867539.779op/s	1868195.715op/s	0.22%	-1.983	5.751	0.24%	313.949op/s	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	380.001µs	380.685µs ± 0.541µs	380.616µs ± 0.214µs	380.851µs	381.223µs	381.929µs	385.134µs	1.19%	5.318	39.852	0.14%	0.038µs	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	2596495.657op/s	2626849.827op/s ± 3708.101op/s	2627319.924op/s ± 1475.172op/s	2628645.556op/s	2630305.642op/s	2631150.672op/s	2631574.130op/s	0.16%	-5.261	39.233	0.14%	262.202op/s	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	189.259µs	189.593µs ± 0.183µs	189.553µs ± 0.112µs	189.688µs	189.976µs	190.208µs	190.243µs	0.36%	1.135	1.509	0.10%	0.013µs	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	5256424.564op/s	5274464.641op/s ± 5095.425op/s	5275572.934op/s ± 3126.088op/s	5278090.761op/s	5280696.256op/s	5281920.914op/s	5283776.746op/s	0.16%	-1.129	1.490	0.10%	360.301op/s	1	200
normalization/normalize_service/normalize_service/[empty string]	execution_time	36.493µs	36.609µs ± 0.044µs	36.612µs ± 0.034µs	36.642µs	36.676µs	36.700µs	36.731µs	0.32%	-0.118	-0.414	0.12%	0.003µs	1	200
normalization/normalize_service/normalize_service/[empty string]	throughput	27225186.199op/s	27315448.530op/s ± 32821.615op/s	27313277.156op/s ± 25019.933op/s	27340679.354op/s	27370979.784op/s	27388287.722op/s	27402223.288op/s	0.33%	0.124	-0.413	0.12%	2320.839op/s	1	200
normalization/normalize_service/normalize_service/test_ASCII	execution_time	45.923µs	46.053µs ± 0.104µs	46.038µs ± 0.034µs	46.080µs	46.138µs	46.223µs	47.308µs	2.76%	8.972	105.508	0.22%	0.007µs	1	200
normalization/normalize_service/normalize_service/test_ASCII	throughput	21138054.040op/s	21714176.048op/s ± 47944.264op/s	21721199.951op/s ± 15844.787op/s	21733672.082op/s	21751786.929op/s	21761871.963op/s	21775554.521op/s	0.25%	-8.791	102.558	0.22%	3390.171op/s	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	execution_time	[536.693µs; 537.049µs] or [-0.033%; +0.033%]	None	None	None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	[1862040.874op/s; 1863271.532op/s] or [-0.033%; +0.033%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	[380.610µs; 380.760µs] or [-0.020%; +0.020%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	[2626335.920op/s; 2627363.734op/s] or [-0.020%; +0.020%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	[189.567µs; 189.618µs] or [-0.013%; +0.013%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	[5273758.464op/s; 5275170.818op/s] or [-0.013%; +0.013%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	execution_time	[36.603µs; 36.615µs] or [-0.017%; +0.017%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	throughput	[27310899.770op/s; 27319997.290op/s] or [-0.017%; +0.017%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	execution_time	[46.039µs; 46.067µs] or [-0.031%; +0.031%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	throughput	[21707531.434op/s; 21720820.662op/s] or [-0.031%; +0.031%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`ce1d7db`	1769703869	gyuheon0h/prof-13289-ld-preload_

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
profile_add_sample2_frames_x1000	execution_time	551.576µs	552.269µs ± 0.414µs	552.234µs ± 0.200µs	552.436µs	552.701µs	553.045µs	556.619µs	0.79%	5.910	59.368	0.07%	0.029µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
profile_add_sample2_frames_x1000	execution_time	[552.212µs; 552.327µs] or [-0.010%; +0.010%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`ce1d7db`	1769703869	gyuheon0h/prof-13289-ld-preload_

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
ip_address/quantize_peer_ip_address_benchmark	execution_time	4.965µs	5.054µs ± 0.055µs	5.048µs ± 0.036µs	5.067µs	5.160µs	5.163µs	5.164µs	2.30%	0.720	-0.629	1.09%	0.004µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
ip_address/quantize_peer_ip_address_benchmark	execution_time	[5.046µs; 5.061µs] or [-0.152%; +0.152%]	None	None	None

Group 5

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`ce1d7db`	1769703869	gyuheon0h/prof-13289-ld-preload_

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
sdk_test_data/rules-based	execution_time	144.351µs	146.202µs ± 1.694µs	145.930µs ± 0.498µs	146.443µs	148.592µs	153.027µs	160.322µs	9.86%	4.888	32.861	1.16%	0.120µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sdk_test_data/rules-based	execution_time	[145.967µs; 146.436µs] or [-0.161%; +0.161%]	None	None	None

Group 6

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`ce1d7db`	1769703869	gyuheon0h/prof-13289-ld-preload_

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
redis/obfuscate_redis_string	execution_time	33.024µs	33.575µs ± 0.861µs	33.160µs ± 0.055µs	33.346µs	35.385µs	35.489µs	36.725µs	10.75%	1.723	1.247	2.56%	0.061µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
redis/obfuscate_redis_string	execution_time	[33.455µs; 33.694µs] or [-0.356%; +0.356%]	None	None	None

Group 7

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`ce1d7db`	1769703869	gyuheon0h/prof-13289-ld-preload_

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
tags/replace_trace_tags	execution_time	2.304µs	2.372µs ± 0.020µs	2.369µs ± 0.010µs	2.383µs	2.403µs	2.415µs	2.421µs	2.17%	-0.491	1.105	0.86%	0.001µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
tags/replace_trace_tags	execution_time	[2.369µs; 2.375µs] or [-0.120%; +0.120%]	None	None	None

Group 8

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`ce1d7db`	1769703869	gyuheon0h/prof-13289-ld-preload_

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
write only interface	execution_time	1.231µs	3.186µs ± 1.425µs	3.016µs ± 0.023µs	3.039µs	3.334µs	13.838µs	15.075µs	399.80%	7.511	56.995	44.63%	0.101µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
write only interface	execution_time	[2.988µs; 3.383µs] or [-6.201%; +6.201%]	None	None	None

Group 9

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`ce1d7db`	1769703869	gyuheon0h/prof-13289-ld-preload_

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	execution_time	205.719µs	206.351µs ± 0.281µs	206.331µs ± 0.190µs	206.496µs	206.826µs	207.116µs	207.220µs	0.43%	0.590	0.240	0.14%	0.020µs	1	200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	4825783.352op/s	4846110.028op/s ± 6591.607op/s	4846593.209op/s ± 4468.666op/s	4851200.249op/s	4855277.533op/s	4857371.550op/s	4861001.629op/s	0.30%	-0.582	0.226	0.14%	466.097op/s	1	200
normalization/normalize_name/normalize_name/bad-name	execution_time	18.578µs	18.651µs ± 0.038µs	18.645µs ± 0.021µs	18.669µs	18.708µs	18.762µs	18.857µs	1.14%	1.793	7.041	0.20%	0.003µs	1	200
normalization/normalize_name/normalize_name/bad-name	throughput	53030895.440op/s	53617017.646op/s ± 108895.151op/s	53633023.764op/s ± 59991.317op/s	53683354.873op/s	53751788.828op/s	53795857.964op/s	53825732.349op/s	0.36%	-1.758	6.830	0.20%	7700.050op/s	1	200
normalization/normalize_name/normalize_name/good	execution_time	10.830µs	10.907µs ± 0.065µs	10.904µs ± 0.018µs	10.919µs	10.952µs	10.986µs	11.521µs	5.65%	7.210	62.660	0.60%	0.005µs	1	200
normalization/normalize_name/normalize_name/good	throughput	86801069.177op/s	91686193.806op/s ± 527315.184op/s	91708533.496op/s ± 147593.530op/s	91880467.021op/s	92151359.676op/s	92262350.442op/s	92336428.836op/s	0.68%	-6.982	59.985	0.57%	37286.814op/s	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	execution_time	[206.313µs; 206.390µs] or [-0.019%; +0.019%]	None	None	None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	[4845196.495op/s; 4847023.562op/s] or [-0.019%; +0.019%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	execution_time	[18.646µs; 18.656µs] or [-0.028%; +0.028%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	throughput	[53601925.825op/s; 53632109.466op/s] or [-0.028%; +0.028%]	None	None	None
normalization/normalize_name/normalize_name/good	execution_time	[10.898µs; 10.916µs] or [-0.083%; +0.083%]	None	None	None
normalization/normalize_name/normalize_name/good	throughput	[91613112.993op/s; 91759274.619op/s] or [-0.080%; +0.080%]	None	None	None

Group 10

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`ce1d7db`	1769703869	gyuheon0h/prof-13289-ld-preload_

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
benching string interning on wordpress profile	execution_time	161.168µs	161.765µs ± 0.310µs	161.719µs ± 0.132µs	161.864µs	162.224µs	162.682µs	164.375µs	1.64%	3.483	24.423	0.19%	0.022µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
benching string interning on wordpress profile	execution_time	[161.722µs; 161.808µs] or [-0.027%; +0.027%]	None	None	None

Group 11

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`ce1d7db`	1769703869	gyuheon0h/prof-13289-ld-preload_

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
benching serializing traces from their internal representation to msgpack	execution_time	14.586ms	14.650ms ± 0.031ms	14.647ms ± 0.016ms	14.664ms	14.692ms	14.769ms	14.827ms	1.23%	1.801	7.512	0.21%	0.002ms	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
benching serializing traces from their internal representation to msgpack	execution_time	[14.646ms; 14.654ms] or [-0.029%; +0.029%]	None	None	None

Group 12

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`ce1d7db`	1769703869	gyuheon0h/prof-13289-ld-preload_

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
benching deserializing traces from msgpack to their internal representation	execution_time	48.355ms	48.682ms ± 0.679ms	48.577ms ± 0.076ms	48.667ms	48.787ms	53.084ms	54.425ms	12.04%	7.189	53.374	1.39%	0.048ms	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
benching deserializing traces from msgpack to their internal representation	execution_time	[48.588ms; 48.776ms] or [-0.193%; +0.193%]	None	None	None

Group 13

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`ce1d7db`	1769703869	gyuheon0h/prof-13289-ld-preload_

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
credit_card/is_card_number/	execution_time	3.895µs	3.912µs ± 0.003µs	3.912µs ± 0.001µs	3.914µs	3.917µs	3.918µs	3.922µs	0.25%	-1.078	8.893	0.07%	0.000µs	1	200
credit_card/is_card_number/	throughput	254969258.106op/s	255593098.344op/s ± 175154.187op/s	255595372.035op/s ± 88336.074op/s	255684952.949op/s	255830282.905op/s	255932841.056op/s	256752995.385op/s	0.45%	1.098	9.020	0.07%	12385.271op/s	1	200
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	77.033µs	77.642µs ± 0.344µs	77.622µs ± 0.204µs	77.827µs	78.276µs	78.532µs	78.606µs	1.27%	0.644	0.022	0.44%	0.024µs	1	200
credit_card/is_card_number/ 3782-8224-6310-005	throughput	12721672.681op/s	12879925.151op/s ± 56867.514op/s	12882955.850op/s ± 33870.905op/s	12916701.945op/s	12960725.278op/s	12968711.125op/s	12981497.843op/s	0.76%	-0.622	-0.013	0.44%	4021.140op/s	1	200
credit_card/is_card_number/ 378282246310005	execution_time	70.635µs	71.145µs ± 0.332µs	71.129µs ± 0.200µs	71.321µs	71.690µs	72.025µs	72.394µs	1.78%	0.748	0.709	0.47%	0.023µs	1	200
credit_card/is_card_number/ 378282246310005	throughput	13813264.260op/s	14056092.795op/s ± 65426.178op/s	14058924.880op/s ± 39703.326op/s	14098942.583op/s	14147129.251op/s	14154658.781op/s	14157325.844op/s	0.70%	-0.719	0.626	0.46%	4626.329op/s	1	200
credit_card/is_card_number/37828224631	execution_time	3.892µs	3.912µs ± 0.003µs	3.911µs ± 0.001µs	3.913µs	3.917µs	3.919µs	3.924µs	0.31%	-0.785	12.367	0.07%	0.000µs	1	200
credit_card/is_card_number/37828224631	throughput	254862504.371op/s	255628924.411op/s ± 187860.287op/s	255657331.161op/s ± 91244.780op/s	255727179.522op/s	255833391.687op/s	255858276.710op/s	256948078.092op/s	0.50%	0.816	12.552	0.07%	13283.728op/s	1	200
credit_card/is_card_number/378282246310005	execution_time	67.433µs	67.923µs ± 0.307µs	67.859µs ± 0.207µs	68.126µs	68.471µs	68.672µs	68.900µs	1.53%	0.535	-0.068	0.45%	0.022µs	1	200
credit_card/is_card_number/378282246310005	throughput	14513705.547op/s	14722805.420op/s ± 66405.810op/s	14736330.221op/s ± 44848.105op/s	14764871.790op/s	14820281.115op/s	14825290.746op/s	14829533.015op/s	0.63%	-0.512	-0.111	0.45%	4695.600op/s	1	200
credit_card/is_card_number/37828224631000521389798	execution_time	44.559µs	45.165µs ± 0.229µs	45.193µs ± 0.156µs	45.333µs	45.480µs	45.521µs	45.878µs	1.52%	-0.364	-0.122	0.51%	0.016µs	1	200
credit_card/is_card_number/37828224631000521389798	throughput	21796894.767op/s	22141496.807op/s ± 112704.890op/s	22127318.397op/s ± 76115.503op/s	22211030.582op/s	22341764.269op/s	22438095.165op/s	22442316.423op/s	1.42%	0.390	-0.113	0.51%	7969.439op/s	1	200
credit_card/is_card_number/x371413321323331	execution_time	6.027µs	6.038µs ± 0.011µs	6.037µs ± 0.003µs	6.040µs	6.046µs	6.112µs	6.131µs	1.56%	6.114	43.099	0.19%	0.001µs	1	200
credit_card/is_card_number/x371413321323331	throughput	163100022.541op/s	165617489.561op/s ± 306165.887op/s	165647903.735op/s ± 83469.139op/s	165735935.694op/s	165841422.932op/s	165902404.922op/s	165916653.967op/s	0.16%	-6.071	42.644	0.18%	21649.198op/s	1	200
credit_card/is_card_number_no_luhn/	execution_time	3.893µs	3.912µs ± 0.003µs	3.912µs ± 0.002µs	3.914µs	3.916µs	3.917µs	3.919µs	0.16%	-1.572	11.104	0.07%	0.000µs	1	200
credit_card/is_card_number_no_luhn/	throughput	255195504.008op/s	255605284.527op/s ± 179410.523op/s	255605655.956op/s ± 114673.217op/s	255726256.719op/s	255838455.935op/s	255922482.510op/s	256880081.406op/s	0.50%	1.595	11.289	0.07%	12686.240op/s	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	65.052µs	65.633µs ± 0.112µs	65.624µs ± 0.075µs	65.709µs	65.823µs	65.856µs	65.872µs	0.38%	-0.365	2.435	0.17%	0.008µs	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	15180996.171op/s	15236228.934op/s ± 25972.950op/s	15238229.567op/s ± 17434.774op/s	15254583.292op/s	15271016.299op/s	15278517.233op/s	15372383.944op/s	0.88%	0.387	2.542	0.17%	1836.565op/s	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	52.941µs	53.015µs ± 0.034µs	53.011µs ± 0.019µs	53.033µs	53.069µs	53.094µs	53.181µs	0.32%	1.057	3.153	0.06%	0.002µs	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	18803560.300op/s	18862482.202op/s ± 12106.302op/s	18863954.755op/s ± 6859.025op/s	18870279.310op/s	18878320.232op/s	18886400.850op/s	18889074.559op/s	0.13%	-1.049	3.119	0.06%	856.045op/s	1	200
credit_card/is_card_number_no_luhn/37828224631	execution_time	3.892µs	3.912µs ± 0.003µs	3.912µs ± 0.001µs	3.913µs	3.915µs	3.917µs	3.918µs	0.15%	-2.260	18.144	0.06%	0.000µs	1	200
credit_card/is_card_number_no_luhn/37828224631	throughput	255264187.453op/s	255654924.943op/s ± 163893.916op/s	255650710.543op/s ± 94892.149op/s	255746341.241op/s	255856392.224op/s	255941705.978op/s	256955794.358op/s	0.51%	2.289	18.416	0.06%	11589.050op/s	1	200
credit_card/is_card_number_no_luhn/378282246310005	execution_time	49.746µs	49.804µs ± 0.029µs	49.800µs ± 0.018µs	49.824µs	49.856µs	49.887µs	49.894µs	0.19%	0.627	0.286	0.06%	0.002µs	1	200
credit_card/is_card_number_no_luhn/378282246310005	throughput	20042594.002op/s	20078576.462op/s ± 11530.102op/s	20080204.934op/s ± 7370.235op/s	20086267.019op/s	20094036.292op/s	20099344.018op/s	20102191.139op/s	0.11%	-0.624	0.280	0.06%	815.301op/s	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	44.752µs	45.217µs ± 0.179µs	45.228µs ± 0.121µs	45.342µs	45.489µs	45.533µs	45.579µs	0.78%	-0.333	-0.509	0.39%	0.013µs	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	21940153.980op/s	22115692.927op/s ± 87649.695op/s	22110427.342op/s ± 58961.521op/s	22173874.742op/s	22274197.028op/s	22323004.897op/s	22345504.990op/s	1.06%	0.349	-0.493	0.40%	6197.769op/s	1	200
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	6.027µs	6.037µs ± 0.011µs	6.036µs ± 0.003µs	6.038µs	6.045µs	6.103µs	6.107µs	1.18%	4.999	27.491	0.18%	0.001µs	1	200
credit_card/is_card_number_no_luhn/x371413321323331	throughput	163739870.016op/s	165635362.049op/s ± 288280.953op/s	165680002.428op/s ± 71812.521op/s	165753849.284op/s	165831208.142op/s	165872541.852op/s	165914394.581op/s	0.14%	-4.975	27.289	0.17%	20384.542op/s	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
credit_card/is_card_number/	execution_time	[3.912µs; 3.913µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number/	throughput	[255568823.658op/s; 255617373.030op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	[77.594µs; 77.689µs] or [-0.061%; +0.061%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	throughput	[12872043.861op/s; 12887806.442op/s] or [-0.061%; +0.061%]	None	None	None
credit_card/is_card_number/ 378282246310005	execution_time	[71.099µs; 71.191µs] or [-0.065%; +0.065%]	None	None	None
credit_card/is_card_number/ 378282246310005	throughput	[14047025.356op/s; 14065160.234op/s] or [-0.065%; +0.065%]	None	None	None
credit_card/is_card_number/37828224631	execution_time	[3.912µs; 3.912µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/37828224631	throughput	[255602888.782op/s; 255654960.040op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/378282246310005	execution_time	[67.881µs; 67.966µs] or [-0.063%; +0.063%]	None	None	None
credit_card/is_card_number/378282246310005	throughput	[14713602.213op/s; 14732008.627op/s] or [-0.063%; +0.063%]	None	None	None
credit_card/is_card_number/37828224631000521389798	execution_time	[45.133µs; 45.197µs] or [-0.070%; +0.070%]	None	None	None
credit_card/is_card_number/37828224631000521389798	throughput	[22125876.993op/s; 22157116.621op/s] or [-0.071%; +0.071%]	None	None	None
credit_card/is_card_number/x371413321323331	execution_time	[6.036µs; 6.040µs] or [-0.026%; +0.026%]	None	None	None
credit_card/is_card_number/x371413321323331	throughput	[165575057.913op/s; 165659921.208op/s] or [-0.026%; +0.026%]	None	None	None
credit_card/is_card_number_no_luhn/	execution_time	[3.912µs; 3.913µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/	throughput	[255580419.954op/s; 255630149.100op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	[65.618µs; 65.649µs] or [-0.024%; +0.024%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	[15232629.333op/s; 15239828.535op/s] or [-0.024%; +0.024%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	[53.011µs; 53.020µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	[18860804.385op/s; 18864160.019op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	execution_time	[3.911µs; 3.912µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	throughput	[255632210.823op/s; 255677639.064op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	execution_time	[49.800µs; 49.808µs] or [-0.008%; +0.008%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	throughput	[20076978.500op/s; 20080174.423op/s] or [-0.008%; +0.008%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	[45.193µs; 45.242µs] or [-0.055%; +0.055%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	[22103545.522op/s; 22127840.332op/s] or [-0.055%; +0.055%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	[6.036µs; 6.039µs] or [-0.024%; +0.024%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	throughput	[165595409.081op/s; 165675315.016op/s] or [-0.024%; +0.024%]	None	None	None

Group 14

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`ce1d7db`	1769703869	gyuheon0h/prof-13289-ld-preload_

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
normalization/normalize_trace/test_trace	execution_time	241.821ns	255.301ns ± 15.121ns	247.940ns ± 4.741ns	263.321ns	288.558ns	299.551ns	302.192ns	21.88%	1.446	1.171	5.91%	1.069ns	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
normalization/normalize_trace/test_trace	execution_time	[253.205ns; 257.397ns] or [-0.821%; +0.821%]	None	None	None

Group 15

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`ce1d7db`	1769703869	gyuheon0h/prof-13289-ld-preload_

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
receiver_entry_point/report/2597	execution_time	12.682ms	13.057ms ± 0.081ms	13.062ms ± 0.041ms	13.102ms	13.178ms	13.230ms	13.250ms	1.44%	-1.164	4.400	0.62%	0.006ms	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
receiver_entry_point/report/2597	execution_time	[13.046ms; 13.068ms] or [-0.085%; +0.085%]	None	None	None

Group 16

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`ce1d7db`	1769703869	gyuheon0h/prof-13289-ld-preload_

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
single_flag_killswitch/rules-based	execution_time	188.196ns	191.155ns ± 2.673ns	190.784ns ± 1.797ns	192.192ns	195.807ns	199.734ns	202.590ns	6.19%	1.377	2.411	1.39%	0.189ns	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
single_flag_killswitch/rules-based	execution_time	[190.785ns; 191.526ns] or [-0.194%; +0.194%]	None	None	None

Group 17

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`ce1d7db`	1769703869	gyuheon0h/prof-13289-ld-preload_

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
two way interface	execution_time	17.484µs	25.008µs ± 9.492µs	17.861µs ± 0.306µs	33.652µs	42.027µs	42.888µs	70.538µs	294.92%	1.042	1.074	37.86%	0.671µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
two way interface	execution_time	[23.693µs; 26.324µs] or [-5.260%; +5.260%]	None	None	None

Group 18

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`ce1d7db`	1769703869	gyuheon0h/prof-13289-ld-preload_

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
sql/obfuscate_sql_string	execution_time	89.237µs	89.412µs ± 0.239µs	89.374µs ± 0.050µs	89.436µs	89.593µs	89.892µs	92.419µs	3.41%	10.139	123.202	0.27%	0.017µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sql/obfuscate_sql_string	execution_time	[89.379µs; 89.446µs] or [-0.037%; +0.037%]	None	None	None

Group 19

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`ce1d7db`	1769703869	gyuheon0h/prof-13289-ld-preload_

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
concentrator/add_spans_to_concentrator	execution_time	10.643ms	10.668ms ± 0.013ms	10.666ms ± 0.008ms	10.675ms	10.690ms	10.719ms	10.729ms	0.58%	1.436	3.741	0.12%	0.001ms	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
concentrator/add_spans_to_concentrator	execution_time	[10.666ms; 10.670ms] or [-0.017%; +0.017%]	None	None	None

Baseline

Omitted due to size.

dd-octo-sts · 2026-01-04T21:05:41Z

Artifact Size Benchmark Report

aarch64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a	87.83 MB	87.83 MB	+0% (+280 B) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so	7.57 MB	7.57 MB	0% (0 B) 👌

aarch64-apple-darwin

Artifact	Baseline	Commit	Change
/aarch64-apple-darwin/lib/libdatadog_profiling.a	59.48 MB	59.48 MB	+0% (+8 B) 👌
/aarch64-apple-darwin/lib/libdatadog_profiling.dylib	8.58 MB	8.58 MB	0% (0 B) 👌

aarch64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a	101.57 MB	101.57 MB	+0% (+504 B) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so	9.71 MB	9.71 MB	+0% (+24 B) 👌

libdatadog-x64-windows

Artifact	Baseline	Commit	Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll	20.44 MB	20.44 MB	0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib	73.49 KB	73.49 KB	0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb	151.28 MB	151.27 MB	-0% (-8.00 KB) 👌
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib	817.84 MB	817.84 MB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll	6.51 MB	6.51 MB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib	73.49 KB	73.49 KB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb	20.14 MB	20.14 MB	0% (0 B) 👌
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib	39.52 MB	39.52 MB	0% (0 B) 👌

libdatadog-x86-windows

Artifact	Baseline	Commit	Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll	17.43 MB	17.43 MB	0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib	74.62 KB	74.62 KB	0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb	154.16 MB	154.15 MB	-0% (-8.00 KB) 👌
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib	805.63 MB	805.63 MB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll	5.01 MB	5.01 MB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib	74.62 KB	74.62 KB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb	21.47 MB	21.47 MB	0% (0 B) 👌
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib	37.29 MB	37.29 MB	0% (0 B) 👌

x86_64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a	76.08 MB	76.08 MB	+0% (+568 B) 👌
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so	9.00 MB	9.00 MB	0% (0 B) 👌

x86_64-apple-darwin

Artifact	Baseline	Commit	Change
/x86_64-apple-darwin/lib/libdatadog_profiling.a	60.79 MB	60.79 MB	+0% (+16 B) 👌
/x86_64-apple-darwin/lib/libdatadog_profiling.dylib	9.63 MB	9.63 MB	0% (0 B) 👌

x86_64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a	95.67 MB	95.67 MB	+0% (+552 B) 👌
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so	10.45 MB	10.45 MB	0% (0 B) 👌

bin_tests/preload/preload.c

gleocadie

LGTM

bin_tests/preload/preload.c

github-actions · 2026-01-29T16:25:55Z

📚 Documentation Check Results

⚠️ 991 documentation warning(s) found

📦 `libdd-crashtracker` - 991 warning(s)

Updated: 2026-01-29 17:00:57 UTC | Commit: d61bdb6 | missing-docs job results

github-actions · 2026-01-29T16:29:24Z

🔒 Cargo Deny Results

⚠️ 1 issue(s) found, showing only errors (advisories, bans, sources)

📦 `libdd-crashtracker` - 1 error(s)

Show output

error[vulnerability]: Logging user input may result in poisoning logs with ANSI escape sequences
    ┌─ /home/runner/work/libdatadog/libdatadog/Cargo.lock:200:1
    │
200 │ tracing-subscriber 0.3.19 registry+https://github.com/rust-lang/crates.io-index
    │ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ security vulnerability detected
    │
    ├ ID: RUSTSEC-2025-0055
    ├ Advisory: https://rustsec.org/advisories/RUSTSEC-2025-0055
    ├ Previous versions of tracing-subscriber were vulnerable to ANSI escape sequence injection attacks. Untrusted user input containing ANSI escape sequences could be injected into terminal output when logged, potentially allowing attackers to:
      
      - Manipulate terminal title bars
      - Clear screens or modify terminal display
      - Potentially mislead users through terminal manipulation
      
      In isolation, impact is minimal, however security issues have been found in terminal emulators that enabled an attacker to use ANSI escape sequences via logs to exploit vulnerabilities in the terminal emulator.
      
      This was patched in [PR #3368](https://github.com/tokio-rs/tracing/pull/3368) to escape ANSI control characters from user input.
    ├ Announcement: https://github.com/advisories/GHSA-xwfj-jgwm-7wp5
    ├ Solution: Upgrade to >=0.3.20 (try `cargo update -p tracing-subscriber`)
    ├ tracing-subscriber v0.3.19
      └── (dev) libdd-telemetry v2.0.0
          └── libdd-crashtracker v1.0.0

advisories FAILED, bans ok, sources ok

Updated: 2026-01-29 17:04:09 UTC | Commit: d61bdb6 | dependency-check job results

gyuheon0h · 2026-01-29T16:55:53Z

/merge

gh-worker-devflow-routing-ef8351 · 2026-01-29T16:56:08Z

View all feedbacks in Devflow UI.

2026-01-29 16:56:08 UTC ℹ️ Start processing command /merge

2026-01-29 16:57:14 UTC ℹ️ MergeQueue: pull request added to the queue

The expected merge time in main is approximately 33m (p90).

2026-01-29 17:30:09 UTC ℹ️ MergeQueue: This merge request was merged

…cripts (#1506) # What does this PR do? Attempt to fix a potential race condition with the [all-checks](https://github.com/DataDog/libdatadog/blob/b44bb77dc7e7dcfd8e47d9e8c2bbe1d3cfa894f6/.github/workflows/all-checks.yml) workflow and [report_gitlab_CI_status](https://github.com/DataDog/libdatadog/blob/b44bb77dc7e7dcfd8e47d9e8c2bbe1d3cfa894f6/.gitlab-ci.yml#L42) `report_gitlab_CI_status` is `post` stage and doesn't get created until after dependent jobs run. If all gitlab benchmark and github actions successfully complete, but `report_gitlab_CI_status` hasn't been created yet, then all-checks can pass because all-checks doesn't see anything pending. The `dd-gitlab/default-pipeline` check has been enabled for this repo by ci-infra. This should solve our problems and remove the need for custom scripts. It will pass when the Gitlab pipeline completes. This check will be added to the branch protection rule for main. all-checks will just be used for github steps. # Motivation all-checks passed on #1428 , despite tests failing on the alpine builds in gitlab. # Additional Notes Anything else we should know when reviewing? # How to test the change? Describe here in detail how the change can be validated. Co-authored-by: edmund.kump <[email protected]>

# Release proposal for libdd-crashtracker and its dependencies This PR contains version bumps based on public API changes and commits since last release. ## libdd-crashtracker **Next version:** `2.0.0` **Semver bump:** `major` **Tag:** `libdd-crashtracker-v2.0.0` ### Commits - chore(crashtracking): add tag for target triple (#1741) - refactor(libdd-crashtracker)!: avoid leaking Endpoint through the public API (#1705) - chore(cargo): bump to 29.0.0 (#1702) - fix(crashtracking): use libunwind to unwind frames (#1663) - chore(deps): bump blazesym to 0.2.3 and blazesym-c to 0.1.7 (#1654) - chore(ci): fix crashtracker receiver binary rpath setting (#1652) - chore(crashtracking): emit a best effort stacktrace for Mac (#1645) - chore(crashtracker): use default-features=false for aws-lc-sys (#1625) - feat(crashtracking): report unhandled exceptions (#1596) - refactor(ddcommon)!: remove direct dependency on hyper client everywhere in common (#1604) - feat(crashtracking): include `Kind` in crash ping and clarify requirements (#1595) - fix(crashtracking): add process_tags to application field (#1576) - ci: update nightly in CI to 2026-02-08 (#1539) - fix(telemetry)!: fix logs payload format [APMSP-2590] (#1498) - chore(crashtracking): bump os_info crate to 3.14 (#1507) - Don't bail (#1494) - feat(crashtracking)!: emit crashing thread name in crash report for linux crashes (#1485) - test(crashtracking): add minimal LD preload test for crashtracker collector (#1428) - chore: release libddcommon-v1.1.0 (#1456) - chore: prepare libdd-telemetry-v2.0.0 (#1457) - [crashtracker] Retrieve panic message when crashing (#1361) - fix(sidecar): AWS lambda also can return EACCESS for shm_open (#1446) - chore(crashtracking): add `is_crash_debug` tag to crashtracker receiver debug logs (#1445) - [crashtracker] Log errors in crashtracker receiver (#1395) - chore: add changelog for every published crate (#1396) - Fix CI (#1389) - [crashtracker] Set OS info in the crash info builder when receiving report (#1388) - crashtracker: support cxx bindings for crashinfo (#1379) [APMSP-2590]: https://datadoghq.atlassian.net/browse/APMSP-2590?atlOrigin=eyJpIjoiNWRkNTljNzYxNjVmNDY3MDlhMDU5Y2ZhYzA5YTRkZjUiLCJwIjoiZ2l0aHViLWNvbS1KU1cifQ Co-authored-by: dd-octo-sts[bot] <200755185+dd-octo-sts[bot]@users.noreply.github.com>

# Release proposal for libdd-crashtracker and its dependencies This PR contains version bumps based on public API changes and commits since last release. ## libdd-crashtracker **Next version:** `2.0.0` **Semver bump:** `major` **Tag:** `libdd-crashtracker-v2.0.0` ### Commits - chore(ci): give libdd-libunwind-sys its own version (#1743) - chore(crashtracking): add tag for target triple (#1741) - refactor(libdd-crashtracker)!: avoid leaking Endpoint through the public API (#1705) - chore(cargo): bump to 29.0.0 (#1702) - fix(crashtracking): use libunwind to unwind frames (#1663) - chore(deps): bump blazesym to 0.2.3 and blazesym-c to 0.1.7 (#1654) - chore(ci): fix crashtracker receiver binary rpath setting (#1652) - chore(crashtracking): emit a best effort stacktrace for Mac (#1645) - chore(crashtracker): use default-features=false for aws-lc-sys (#1625) - feat(crashtracking): report unhandled exceptions (#1596) - refactor(ddcommon)!: remove direct dependency on hyper client everywhere in common (#1604) - feat(crashtracking): include `Kind` in crash ping and clarify requirements (#1595) - fix(crashtracking): add process_tags to application field (#1576) - ci: update nightly in CI to 2026-02-08 (#1539) - fix(telemetry)!: fix logs payload format [APMSP-2590] (#1498) - chore(crashtracking): bump os_info crate to 3.14 (#1507) - Don't bail (#1494) - feat(crashtracking)!: emit crashing thread name in crash report for linux crashes (#1485) - test(crashtracking): add minimal LD preload test for crashtracker collector (#1428) - chore: release libddcommon-v1.1.0 (#1456) - chore: prepare libdd-telemetry-v2.0.0 (#1457) - [crashtracker] Retrieve panic message when crashing (#1361) - fix(sidecar): AWS lambda also can return EACCESS for shm_open (#1446) - chore(crashtracking): add `is_crash_debug` tag to crashtracker receiver debug logs (#1445) - [crashtracker] Log errors in crashtracker receiver (#1395) - chore: add changelog for every published crate (#1396) - Fix CI (#1389) - [crashtracker] Set OS info in the crash info builder when receiving report (#1388) - crashtracker: support cxx bindings for crashinfo (#1379) [APMSP-2590]: https://datadoghq.atlassian.net/browse/APMSP-2590?atlOrigin=eyJpIjoiNWRkNTljNzYxNjVmNDY3MDlhMDU5Y2ZhYzA5YTRkZjUiLCJwIjoiZ2l0aHViLWNvbS1KU1cifQ Co-authored-by: dd-octo-sts[bot] <200755185+dd-octo-sts[bot]@users.noreply.github.com>

# Release proposal for libdd-crashtracker and its dependencies This PR contains version bumps based on public API changes and commits since last release. ## libdd-crashtracker **Next version:** `2.0.0` **Semver bump:** `major` **Tag:** `libdd-crashtracker-v2.0.0` ### Commits - chore(crashtracking): rename target triple to runtime platform (#1747) - chore(ci): give libdd-libunwind-sys its own version (#1743) - chore(crashtracking): add tag for target triple (#1741) - refactor(libdd-crashtracker)!: avoid leaking Endpoint through the public API (#1705) - chore(cargo): bump to 29.0.0 (#1702) - fix(crashtracking): use libunwind to unwind frames (#1663) - chore(deps): bump blazesym to 0.2.3 and blazesym-c to 0.1.7 (#1654) - chore(ci): fix crashtracker receiver binary rpath setting (#1652) - chore(crashtracking): emit a best effort stacktrace for Mac (#1645) - chore(crashtracker): use default-features=false for aws-lc-sys (#1625) - feat(crashtracking): report unhandled exceptions (#1596) - refactor(ddcommon)!: remove direct dependency on hyper client everywhere in common (#1604) - feat(crashtracking): include `Kind` in crash ping and clarify requirements (#1595) - fix(crashtracking): add process_tags to application field (#1576) - ci: update nightly in CI to 2026-02-08 (#1539) - fix(telemetry)!: fix logs payload format [APMSP-2590] (#1498) - chore(crashtracking): bump os_info crate to 3.14 (#1507) - Don't bail (#1494) - feat(crashtracking)!: emit crashing thread name in crash report for linux crashes (#1485) - test(crashtracking): add minimal LD preload test for crashtracker collector (#1428) - chore: release libddcommon-v1.1.0 (#1456) - chore: prepare libdd-telemetry-v2.0.0 (#1457) - [crashtracker] Retrieve panic message when crashing (#1361) - fix(sidecar): AWS lambda also can return EACCESS for shm_open (#1446) - chore(crashtracking): add `is_crash_debug` tag to crashtracker receiver debug logs (#1445) - [crashtracker] Log errors in crashtracker receiver (#1395) - chore: add changelog for every published crate (#1396) - Fix CI (#1389) - [crashtracker] Set OS info in the crash info builder when receiving report (#1388) - crashtracker: support cxx bindings for crashinfo (#1379) Co-authored-by: dd-octo-sts[bot] <200755185+dd-octo-sts[bot]@users.noreply.github.com>

# Release proposal for libdd-crashtracker and its dependencies This PR contains version bumps based on public API changes and commits since last release. ## libdd-common **Next version:** `3.0.0` **Semver bump:** `major` **Tag:** `libdd-common-v3.0.0` ### Commits - refactor(trace-utils)!: change header name type to accept dynamic values (#1722) ## libdd-crashtracker **Next version:** `2.0.0` **Semver bump:** `major` **Tag:** `libdd-crashtracker-v2.0.0` ### Commits - chore(crashtracking): rename target triple to runtime platform (#1747) - chore(ci): give libdd-libunwind-sys its own version (#1743) - chore(crashtracking): add tag for target triple (#1741) - refactor(libdd-crashtracker)!: avoid leaking Endpoint through the public API (#1705) - chore(cargo): bump to 29.0.0 (#1702) - fix(crashtracking): use libunwind to unwind frames (#1663) - chore(deps): bump blazesym to 0.2.3 and blazesym-c to 0.1.7 (#1654) - chore(ci): fix crashtracker receiver binary rpath setting (#1652) - chore(crashtracking): emit a best effort stacktrace for Mac (#1645) - chore(crashtracker): use default-features=false for aws-lc-sys (#1625) - feat(crashtracking): report unhandled exceptions (#1596) - refactor(ddcommon)!: remove direct dependency on hyper client everywhere in common (#1604) - feat(crashtracking): include `Kind` in crash ping and clarify requirements (#1595) - fix(crashtracking): add process_tags to application field (#1576) - ci: update nightly in CI to 2026-02-08 (#1539) - fix(telemetry)!: fix logs payload format [APMSP-2590] (#1498) - chore(crashtracking): bump os_info crate to 3.14 (#1507) - Don't bail (#1494) - feat(crashtracking)!: emit crashing thread name in crash report for linux crashes (#1485) - test(crashtracking): add minimal LD preload test for crashtracker collector (#1428) - chore: release libddcommon-v1.1.0 (#1456) - chore: prepare libdd-telemetry-v2.0.0 (#1457) - [crashtracker] Retrieve panic message when crashing (#1361) - fix(sidecar): AWS lambda also can return EACCESS for shm_open (#1446) - chore(crashtracking): add `is_crash_debug` tag to crashtracker receiver debug logs (#1445) - [crashtracker] Log errors in crashtracker receiver (#1395) - chore: add changelog for every published crate (#1396) - Fix CI (#1389) - [crashtracker] Set OS info in the crash info builder when receiving report (#1388) - crashtracker: support cxx bindings for crashinfo (#1379) [APMSP-2590]: https://datadoghq.atlassian.net/browse/APMSP-2590?atlOrigin=eyJpIjoiNWRkNTljNzYxNjVmNDY3MDlhMDU5Y2ZhYzA5YTRkZjUiLCJwIjoiZ2l0aHViLWNvbS1KU1cifQ --------- Co-authored-by: dd-octo-sts[bot] <200755185+dd-octo-sts[bot]@users.noreply.github.com>

gyuheon0h changed the title ~~First pass, need to isolate only collector from test harness~~ [crashtracking] Add minimal LD preload test for crashtracker collector Jan 4, 2026

gyuheon0h force-pushed the gyuheon0h/prof-13289-ld-preload_ branch from c9a32e0 to 5d2087f Compare January 6, 2026 15:46

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gyuheon0h changed the title ~~[crashtracking] Add minimal LD preload test for crashtracker collector~~ [WIP][crashtracking] Add minimal LD preload test for crashtracker collector Jan 6, 2026

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gyuheon0h changed the title ~~[WIP][crashtracking] Add minimal LD preload test for crashtracker collector~~ [crashtracking] Add minimal LD preload test for crashtracker collector Jan 12, 2026

gyuheon0h changed the title ~~[crashtracking] Add minimal LD preload test for crashtracker collector~~ tests(crashtrackinh): add minimal LD preload test for crashtracker collector Jan 12, 2026

gyuheon0h changed the title ~~tests(crashtrackinh): add minimal LD preload test for crashtracker collector~~ tests(crashtracking): add minimal LD preload test for crashtracker collector Jan 12, 2026

gyuheon0h changed the title ~~tests(crashtracking): add minimal LD preload test for crashtracker collector~~ test(crashtracking): add minimal LD preload test for crashtracker collector Jan 12, 2026

gyuheon0h changed the title ~~test(crashtracking): add minimal LD preload test for crashtracker collector~~ [WIP] test(crashtracking): add minimal LD preload test for crashtracker collector Jan 12, 2026

gyuheon0h changed the title ~~[WIP] test(crashtracking): add minimal LD preload test for crashtracker collector~~ test(crashtracking): add minimal LD preload test for crashtracker collector Jan 12, 2026

gyuheon0h marked this pull request as ready for review January 12, 2026 21:26

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gyuheon0h added 2 commits January 28, 2026 18:45

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ci: use default-pipeline check for gitlab status rather than custom scripts #1506

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chore(release): proposal for libdd-crashtracker #1745

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