[PROF-12853] Catch panics inside `wrap_with_ffi_result` and `wrap_with_void_ffi_result`

[ivoanjo]

What does this PR do?

This PR updates the wrap_with_ffi_result and wrap_with_void_ffi_result macros to catch any panics that happen inside them, returning them as errors.

The error handling is made in such a way (see handle_panic_error for details) that it should be able to report back an error even if we fail to do any allocations.

Important note: Because only the macros have been changed, and ffi APIs that don't use the macros are of course not affected and can still trigger panics. If we like this approach, I'll follow-up with a separate PR to update other APIs to use the new macros.

Motivation

In https://docs.google.com/document/d/1weMu9P03KKhPQ-gh9BMqRrEzpa1BnnY0LaSRGJbfc7A/edit?usp=sharing (Datadog-only link, sorry!) we saw ddog_prof_Exporter_send crashing due to what can be summed up as

ddog_prof_Exporter_send (report a profile) -> 　　hyper-util tries to do dns resolution in a separate thread pool -> 　　　　tokio failed to create a new thread -> 　　　　　　panic and we tear down the app because we can't report a profile

This is not good at all, and this PR solves this inspired by earlier work in #815 and #1083.

Additional Notes

While I don't predict that will happen very often, callers that want to opt-out of the catch unwind behavior can still use the ..._no_catch variants of the macros.

The return type change in ddog_crasht_CrashInfoBuilder_build does change the tag enum entries, which unfortunately is a breaking change.

Ideas on how to work around this? This makes the following enum entries change:

• DDOG_CRASHT_CRASH_INFO_NEW_RESULT_OK => DDOG_CRASHT_RESULT_HANDLE_CRASH_INFO_OK_HANDLE_CRASH_INFO
• DDOG_CRASHT_CRASH_INFO_NEW_RESULT_ERR => DDOG_CRASHT_RESULT_HANDLE_CRASH_INFO_ERR_HANDLE_CRASH_INFO

How to test the change?

This change includes test coverage. I've also separately tried to sprinkle a few panic! calls manually and tested that it works as expected.

[codecov-commenter]

Codecov Report

:x: Patch coverage is 81.25000% with 18 lines in your changes missing coverage. Please review. :white_check_mark: Project coverage is 71.20%. Comparing base (3e1bd42) to head (7e19376). :warning: Report is 9 commits behind head on main.

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #1334      +/-   ##
==========================================
+ Coverage   70.87%   71.20%   +0.32%     
==========================================
  Files         385      392       +7     
  Lines       61838    62763     +925     
==========================================
+ Hits        43828    44689     +861     
- Misses      18010    18074      +64     

Components	Coverage Δ
datadog-crashtracker	∅ <ø> (∅)
datadog-crashtracker-ffi	∅ <ø> (∅)
datadog-alloc	∅ <ø> (∅)
data-pipeline	∅ <ø> (∅)
data-pipeline-ffi	∅ <ø> (∅)
ddcommon	∅ <ø> (∅)
ddcommon-ffi	∅ <ø> (∅)
ddtelemetry	∅ <ø> (∅)
ddtelemetry-ffi	∅ <ø> (∅)
dogstatsd-client	∅ <ø> (∅)
datadog-ipc	82.61% <ø> (ø)
datadog-profiling	0.00% <ø> (ø)
datadog-profiling-ffi	∅ <ø> (∅)
datadog-sidecar	36.98% <ø> (+0.80%)	:arrow_up:
datdog-sidecar-ffi	16.40% <ø> (+4.07%)	:arrow_up:
spawn-worker	55.18% <ø> (ø)
tinybytes	∅ <ø> (∅)
datadog-trace-normalization	∅ <ø> (∅)
datadog-trace-obfuscation	94.17% <ø> (ø)
datadog-trace-protobuf	∅ <ø> (∅)
datadog-trace-utils	∅ <ø> (∅)
datadog-tracer-flare	62.06% <ø> (+1.00%)	:arrow_up:
datadog-log	∅ <ø> (∅)

:rocket: New features to boost your workflow:

• :snowflake: Test Analytics: Detect flaky tests, report on failures, and find test suite problems.

[pr-commenter[bot]]

Benchmarks

Comparison

Benchmark execution time: 2025-11-20 11:32:11

Comparing candidate commit 7e19376f in PR branch ivoanjo/crash-handling-experiments with baseline commit a3f9e862 in branch main.

Found 0 performance improvements and 13 performance regressions! Performance is the same for 42 metrics, 2 unstable metrics.

scenario:credit_card/is_card_number/ 3782-8224-6310-005

• 🟥 execution_time [+3.168µs; +3.391µs] or [+4.042%; +4.326%]

scenario:credit_card/is_card_number/ 378282246310005

• 🟥 execution_time [+4.003µs; +4.118µs] or [+5.587%; +5.748%]
• 🟥 throughput [-759648.780op/s; -737944.516op/s] or [-5.443%; -5.288%]

scenario:credit_card/is_card_number/378282246310005

• 🟥 execution_time [+4.252µs; +4.377µs] or [+6.203%; +6.386%]
• 🟥 throughput [-877094.866op/s; -851343.732op/s] or [-6.012%; -5.836%]

scenario:credit_card/is_card_number/37828224631000521389798

• 🟥 execution_time [+7.175µs; +7.209µs] or [+15.693%; +15.768%]
• 🟥 throughput [-2980137.854op/s; -2965739.029op/s] or [-13.625%; -13.560%]

scenario:credit_card/is_card_number_no_luhn/ 378282246310005

• 🟥 execution_time [+4.952µs; +4.989µs] or [+9.270%; +9.339%]
• 🟥 throughput [-1598753.853op/s; -1587699.163op/s] or [-8.541%; -8.482%]

scenario:credit_card/is_card_number_no_luhn/378282246310005

• 🟥 execution_time [+5.249µs; +5.297µs] or [+10.455%; +10.552%]
• 🟥 throughput [-1901015.539op/s; -1885220.088op/s] or [-9.544%; -9.465%]

scenario:credit_card/is_card_number_no_luhn/37828224631000521389798

• 🟥 execution_time [+7.360µs; +7.387µs] or [+16.093%; +16.153%]
• 🟥 throughput [-3042592.107op/s; -3029614.424op/s] or [-13.914%; -13.855%]

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	7e19376f	1763637443	ivoanjo/crash-handling-experiments

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	88.862µs	89.052µs ± 0.129µs	89.038µs ± 0.042µs	89.084µs	89.170µs	89.327µs	90.481µs	1.62%	7.168	74.066	0.15%	0.009µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sql/obfuscate_sql_string	execution_time	[89.034µs; 89.070µs] or [-0.020%; +0.020%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	7e19376f	1763637443	ivoanjo/crash-handling-experiments

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	242.290ns	252.351ns ± 12.733ns	246.841ns ± 3.105ns	254.039ns	285.792ns	288.100ns	289.323ns	17.21%	1.784	1.982	5.03%	0.900ns	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	[250.586ns; 254.116ns] or [-0.699%; +0.699%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	7e19376f	1763637443	ivoanjo/crash-handling-experiments

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	205.640µs	206.128µs ± 0.298µs	206.090µs ± 0.183µs	206.284µs	206.523µs	206.734µs	208.449µs	1.14%	2.775	17.857	0.14%	0.021µs	1	200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	4797334.031op/s	4851369.952op/s ± 6992.986op/s	4852250.292op/s ± 4309.572op/s	4855938.894op/s	4859857.281op/s	4861189.856op/s	4862876.733op/s	0.22%	-2.723	17.344	0.14%	494.479op/s	1	200
normalization/normalize_name/normalize_name/bad-name	execution_time	18.196µs	18.325µs ± 0.094µs	18.308µs ± 0.039µs	18.348µs	18.492µs	18.753µs	18.779µs	2.57%	2.166	6.724	0.51%	0.007µs	1	200
normalization/normalize_name/normalize_name/bad-name	throughput	53250419.121op/s	54572995.567op/s ± 276865.721op/s	54621120.379op/s ± 116895.591op/s	54733788.633op/s	54908387.573op/s	54931508.659op/s	54957875.720op/s	0.62%	-2.105	6.384	0.51%	19577.363op/s	1	200
normalization/normalize_name/normalize_name/good	execution_time	10.640µs	10.860µs ± 0.065µs	10.862µs ± 0.042µs	10.903µs	10.953µs	11.007µs	11.046µs	1.70%	-0.317	0.615	0.60%	0.005µs	1	200
normalization/normalize_name/normalize_name/good	throughput	90526692.590op/s	92085470.818op/s ± 556301.164op/s	92066729.953op/s ± 357989.060op/s	92431501.266op/s	92962689.791op/s	93351240.387op/s	93982467.607op/s	2.08%	0.362	0.663	0.60%	39336.433op/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	[206.086µs; 206.169µs] or [-0.020%; +0.020%]	None	None	None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	[4850400.791op/s; 4852339.113op/s] or [-0.020%; +0.020%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	execution_time	[18.312µs; 18.338µs] or [-0.071%; +0.071%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	throughput	[54534624.641op/s; 54611366.493op/s] or [-0.070%; +0.070%]	None	None	None
normalization/normalize_name/normalize_name/good	execution_time	[10.851µs; 10.869µs] or [-0.084%; +0.084%]	None	None	None
normalization/normalize_name/normalize_name/good	throughput	[92008372.826op/s; 92162568.809op/s] or [-0.084%; +0.084%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	7e19376f	1763637443	ivoanjo/crash-handling-experiments

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	62.476ms	63.405ms ± 1.952ms	63.179ms ± 0.123ms	63.297ms	63.541ms	71.182ms	82.123ms	29.98%	8.642	76.640	3.07%	0.138ms	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	[63.134ms; 63.675ms] or [-0.427%; +0.427%]	None	None	None

Group 5

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	7e19376f	1763637443	ivoanjo/crash-handling-experiments

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	4.950µs	5.015µs ± 0.040µs	5.020µs ± 0.034µs	5.039µs	5.079µs	5.082µs	5.085µs	1.31%	0.080	-1.070	0.79%	0.003µs	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	[5.010µs; 5.021µs] or [-0.109%; +0.109%]	None	None	None

Group 6

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	7e19376f	1763637443	ivoanjo/crash-handling-experiments

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	533.940µs	534.693µs ± 0.670µs	534.625µs ± 0.255µs	534.903µs	535.234µs	535.541µs	542.750µs	1.52%	8.732	102.519	0.13%	0.047µs	1	200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	1842467.710op/s	1870236.383op/s ± 2320.058op/s	1870471.602op/s ± 892.469op/s	1871253.777op/s	1872274.904op/s	1872651.643op/s	1872871.261op/s	0.13%	-8.626	100.831	0.12%	164.053op/s	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	380.829µs	381.511µs ± 0.357µs	381.504µs ± 0.245µs	381.722µs	382.195µs	382.403µs	382.663µs	0.30%	0.546	-0.042	0.09%	0.025µs	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	2613267.240op/s	2621160.641op/s ± 2449.800op/s	2621206.737op/s ± 1685.132op/s	2623078.253op/s	2624548.101op/s	2625552.484op/s	2625853.145op/s	0.18%	-0.541	-0.050	0.09%	173.227op/s	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	194.734µs	195.287µs ± 0.203µs	195.274µs ± 0.144µs	195.422µs	195.624µs	195.764µs	195.772µs	0.26%	0.161	-0.223	0.10%	0.014µs	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	5107971.770op/s	5120679.061op/s ± 5331.774op/s	5120998.757op/s ± 3779.766op/s	5124556.389op/s	5128722.327op/s	5132060.549op/s	5135210.081op/s	0.28%	-0.155	-0.224	0.10%	377.013op/s	1	200
normalization/normalize_service/normalize_service/[empty string]	execution_time	36.957µs	37.169µs ± 0.073µs	37.166µs ± 0.048µs	37.216µs	37.292µs	37.340µs	37.371µs	0.55%	0.167	-0.063	0.20%	0.005µs	1	200
normalization/normalize_service/normalize_service/[empty string]	throughput	26758404.434op/s	26904072.239op/s ± 52833.051op/s	26906324.848op/s ± 34718.606op/s	26938899.913op/s	26990722.724op/s	27004578.196op/s	27058494.645op/s	0.57%	-0.155	-0.065	0.20%	3735.861op/s	1	200
normalization/normalize_service/normalize_service/test_ASCII	execution_time	44.884µs	45.071µs ± 0.165µs	45.057µs ± 0.124µs	45.182µs	45.295µs	45.328µs	46.419µs	3.02%	2.778	20.142	0.37%	0.012µs	1	200
normalization/normalize_service/normalize_service/test_ASCII	throughput	21542876.908op/s	22187434.819op/s ± 80537.771op/s	22194205.655op/s ± 61273.301op/s	22254729.256op/s	22278128.774op/s	22278970.446op/s	22279455.668op/s	0.38%	-2.625	18.516	0.36%	5694.880op/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	[534.600µs; 534.786µs] or [-0.017%; +0.017%]	None	None	None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	[1869914.846op/s; 1870557.921op/s] or [-0.017%; +0.017%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	[381.461µs; 381.560µs] or [-0.013%; +0.013%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	[2620821.122op/s; 2621500.159op/s] or [-0.013%; +0.013%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	[195.259µs; 195.315µs] or [-0.014%; +0.014%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	[5119940.129op/s; 5121417.994op/s] or [-0.014%; +0.014%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	execution_time	[37.159µs; 37.179µs] or [-0.027%; +0.027%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	throughput	[26896750.087op/s; 26911394.392op/s] or [-0.027%; +0.027%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	execution_time	[45.048µs; 45.094µs] or [-0.051%; +0.051%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	throughput	[22176273.059op/s; 22198596.580op/s] or [-0.050%; +0.050%]	None	None	None

Group 7

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	7e19376f	1763637443	ivoanjo/crash-handling-experiments

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	3.893µs	3.913µs ± 0.006µs	3.912µs ± 0.001µs	3.913µs	3.916µs	3.919µs	3.969µs	1.46%	7.312	67.071	0.15%	0.000µs	1	200
credit_card/is_card_number/	throughput	251953949.206op/s	255589350.691op/s ± 370604.704op/s	255624897.865op/s ± 88615.835op/s	255711982.670op/s	255820320.134op/s	255864003.642op/s	256840204.294op/s	0.48%	-7.244	66.340	0.14%	26205.710op/s	1	200
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	80.387µs	81.654µs ± 0.552µs	81.598µs ± 0.430µs	82.087µs	82.527µs	82.770µs	83.175µs	1.93%	0.193	-0.622	0.67%	0.039µs	1	200
credit_card/is_card_number/ 3782-8224-6310-005	throughput	12022805.796op/s	12247375.986op/s ± 82680.986op/s	12255174.267op/s ± 64717.651op/s	12311396.660op/s	12364389.774op/s	12414424.031op/s	12439824.876op/s	1.51%	-0.166	-0.632	0.67%	5846.429op/s	1	200
credit_card/is_card_number/ 378282246310005	execution_time	75.348µs	75.715µs ± 0.170µs	75.684µs ± 0.102µs	75.839µs	76.001µs	76.218µs	76.284µs	0.79%	0.635	0.622	0.22%	0.012µs	1	200
credit_card/is_card_number/ 378282246310005	throughput	13108837.752op/s	13207458.378op/s ± 29549.476op/s	13212853.305op/s ± 17767.380op/s	13226857.134op/s	13252387.487op/s	13265624.787op/s	13271772.268op/s	0.45%	-0.620	0.593	0.22%	2089.463op/s	1	200
credit_card/is_card_number/37828224631	execution_time	3.895µs	3.912µs ± 0.002µs	3.912µs ± 0.001µs	3.914µs	3.916µs	3.918µs	3.921µs	0.21%	-1.339	11.979	0.06%	0.000µs	1	200
credit_card/is_card_number/37828224631	throughput	255057459.249op/s	255598368.687op/s ± 163282.621op/s	255599485.502op/s ± 89623.166op/s	255687573.609op/s	255824038.844op/s	255854167.762op/s	256757945.438op/s	0.45%	1.362	12.144	0.06%	11545.825op/s	1	200
credit_card/is_card_number/378282246310005	execution_time	72.127µs	72.864µs ± 0.207µs	72.893µs ± 0.117µs	72.990µs	73.182µs	73.268µs	73.392µs	0.69%	-0.575	1.065	0.28%	0.015µs	1	200
credit_card/is_card_number/378282246310005	throughput	13625430.978op/s	13724345.676op/s ± 39010.747op/s	13718795.024op/s ± 22021.905op/s	13744903.241op/s	13795137.287op/s	13840785.673op/s	13864461.427op/s	1.06%	0.598	1.103	0.28%	2758.476op/s	1	200
credit_card/is_card_number/37828224631000521389798	execution_time	52.705µs	52.913µs ± 0.084µs	52.901µs ± 0.040µs	52.945µs	53.111µs	53.213µs	53.218µs	0.60%	1.399	3.223	0.16%	0.006µs	1	200
credit_card/is_card_number/37828224631000521389798	throughput	18790789.809op/s	18898977.644op/s ± 30067.315op/s	18903135.102op/s ± 14198.769op/s	18915071.529op/s	18936271.773op/s	18951451.730op/s	18973430.973op/s	0.37%	-1.383	3.183	0.16%	2126.080op/s	1	200
credit_card/is_card_number/x371413321323331	execution_time	6.429µs	6.439µs ± 0.007µs	6.438µs ± 0.003µs	6.441µs	6.452µs	6.461µs	6.472µs	0.52%	1.589	3.398	0.11%	0.000µs	1	200
credit_card/is_card_number/x371413321323331	throughput	154522950.439op/s	155310824.174op/s ± 163992.645op/s	155333078.179op/s ± 78779.506op/s	155427329.955op/s	155492411.753op/s	155532681.429op/s	155553505.548op/s	0.14%	-1.580	3.353	0.11%	11596.031op/s	1	200
credit_card/is_card_number_no_luhn/	execution_time	3.892µs	3.912µs ± 0.003µs	3.912µs ± 0.001µs	3.913µs	3.918µs	3.920µs	3.921µs	0.23%	-1.107	13.257	0.07%	0.000µs	1	200
credit_card/is_card_number_no_luhn/	throughput	255037794.367op/s	255604526.514op/s ± 181896.464op/s	255616362.326op/s ± 88623.922op/s	255707690.410op/s	255810453.838op/s	255891606.013op/s	256922101.360op/s	0.51%	1.137	13.470	0.07%	12862.022op/s	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	64.978µs	65.179µs ± 0.127µs	65.158µs ± 0.075µs	65.237µs	65.428µs	65.582µs	65.748µs	0.91%	1.430	2.785	0.19%	0.009µs	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	15209514.519op/s	15342343.462op/s ± 29782.154op/s	15347266.791op/s ± 17694.956op/s	15363634.281op/s	15377580.795op/s	15383997.140op/s	15389751.964op/s	0.28%	-1.414	2.719	0.19%	2105.916op/s	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	58.203µs	58.397µs ± 0.127µs	58.365µs ± 0.078µs	58.467µs	58.678µs	58.771µs	58.851µs	0.83%	1.097	0.973	0.22%	0.009µs	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	16992126.817op/s	17124366.377op/s ± 37197.024op/s	17133536.443op/s ± 22854.126op/s	17152491.462op/s	17167699.831op/s	17177533.642op/s	17181129.965op/s	0.28%	-1.086	0.939	0.22%	2630.227op/s	1	200
credit_card/is_card_number_no_luhn/37828224631	execution_time	3.894µs	3.912µs ± 0.002µs	3.912µs ± 0.001µs	3.913µs	3.916µs	3.918µs	3.920µs	0.21%	-1.381	14.156	0.06%	0.000µs	1	200
credit_card/is_card_number_no_luhn/37828224631	throughput	255105554.414op/s	255623085.259op/s ± 159756.108op/s	255628681.538op/s ± 83881.292op/s	255713492.047op/s	255798872.120op/s	255857159.537op/s	256804722.313op/s	0.46%	1.407	14.359	0.06%	11296.463op/s	1	200
credit_card/is_card_number_no_luhn/378282246310005	execution_time	55.116µs	55.477µs ± 0.172µs	55.436µs ± 0.104µs	55.591µs	55.813µs	55.941µs	55.998µs	1.01%	0.616	0.137	0.31%	0.012µs	1	200
credit_card/is_card_number_no_luhn/378282246310005	throughput	17857861.682op/s	18025502.744op/s ± 55713.604op/s	18038696.393op/s ± 33856.821op/s	18060637.758op/s	18104890.458op/s	18129855.927op/s	18143540.869op/s	0.58%	-0.600	0.114	0.31%	3939.547op/s	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	53.034µs	53.106µs ± 0.027µs	53.106µs ± 0.017µs	53.122µs	53.154µs	53.172µs	53.182µs	0.14%	0.198	0.309	0.05%	0.002µs	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	18803270.336op/s	18830275.650op/s ± 9401.045op/s	18830218.975op/s ± 6169.309op/s	18836669.704op/s	18845023.319op/s	18853304.475op/s	18855916.752op/s	0.14%	-0.194	0.307	0.05%	664.754op/s	1	200
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	6.427µs	6.437µs ± 0.005µs	6.436µs ± 0.003µs	6.440µs	6.446µs	6.452µs	6.455µs	0.29%	0.898	1.140	0.08%	0.000µs	1	200
credit_card/is_card_number_no_luhn/x371413321323331	throughput	154916073.171op/s	155349235.729op/s ± 120054.369op/s	155371854.389op/s ± 61290.860op/s	155419979.239op/s	155517247.566op/s	155565627.646op/s	155599104.614op/s	0.15%	-0.892	1.128	0.08%	8489.126op/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 [-0.020%; +0.020%]	None	None	None
credit_card/is_card_number/	throughput	[255537988.444op/s; 255640712.939op/s] or [-0.020%; +0.020%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	[81.577µs; 81.730µs] or [-0.094%; +0.094%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	throughput	[12235917.196op/s; 12258834.775op/s] or [-0.094%; +0.094%]	None	None	None
credit_card/is_card_number/ 378282246310005	execution_time	[75.692µs; 75.739µs] or [-0.031%; +0.031%]	None	None	None
credit_card/is_card_number/ 378282246310005	throughput	[13203363.104op/s; 13211553.651op/s] or [-0.031%; +0.031%]	None	None	None
credit_card/is_card_number/37828224631	execution_time	[3.912µs; 3.913µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number/37828224631	throughput	[255575739.286op/s; 255620998.088op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number/378282246310005	execution_time	[72.835µs; 72.892µs] or [-0.039%; +0.039%]	None	None	None
credit_card/is_card_number/378282246310005	throughput	[13718939.162op/s; 13729752.191op/s] or [-0.039%; +0.039%]	None	None	None
credit_card/is_card_number/37828224631000521389798	execution_time	[52.901µs; 52.925µs] or [-0.022%; +0.022%]	None	None	None
credit_card/is_card_number/37828224631000521389798	throughput	[18894810.603op/s; 18903144.685op/s] or [-0.022%; +0.022%]	None	None	None
credit_card/is_card_number/x371413321323331	execution_time	[6.438µs; 6.440µs] or [-0.015%; +0.015%]	None	None	None
credit_card/is_card_number/x371413321323331	throughput	[155288096.371op/s; 155333551.978op/s] or [-0.015%; +0.015%]	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	[255579317.413op/s; 255629735.615op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	[65.162µs; 65.197µs] or [-0.027%; +0.027%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	[15338215.942op/s; 15346470.982op/s] or [-0.027%; +0.027%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	[58.379µs; 58.414µs] or [-0.030%; +0.030%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	[17119211.227op/s; 17129521.527op/s] or [-0.030%; +0.030%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	execution_time	[3.912µs; 3.912µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	throughput	[255600944.599op/s; 255645225.919op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	execution_time	[55.454µs; 55.501µs] or [-0.043%; +0.043%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	throughput	[18017781.375op/s; 18033224.114op/s] or [-0.043%; +0.043%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	[53.102µs; 53.110µs] or [-0.007%; +0.007%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	[18828972.755op/s; 18831578.544op/s] or [-0.007%; +0.007%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	[6.436µs; 6.438µs] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	throughput	[155332597.348op/s; 155365874.110op/s] or [-0.011%; +0.011%]	None	None	None

Group 8

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	7e19376f	1763637443	ivoanjo/crash-handling-experiments

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	6.068ms	6.368ms ± 0.095ms	6.397ms ± 0.020ms	6.417ms	6.435ms	6.468ms	6.581ms	2.87%	-1.785	2.389	1.49%	0.007ms	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	[6.355ms; 6.381ms] or [-0.207%; +0.207%]	None	None	None

Group 9

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	7e19376f	1763637443	ivoanjo/crash-handling-experiments

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	161.798µs	162.512µs ± 0.360µs	162.459µs ± 0.140µs	162.616µs	162.935µs	163.885µs	165.507µs	1.88%	4.120	27.992	0.22%	0.025µs	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	[162.463µs; 162.562µs] or [-0.031%; +0.031%]	None	None	None

Group 10

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	7e19376f	1763637443	ivoanjo/crash-handling-experiments

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	10.599ms	10.635ms ± 0.017ms	10.634ms ± 0.010ms	10.644ms	10.665ms	10.672ms	10.724ms	0.85%	0.826	2.824	0.16%	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	[10.632ms; 10.637ms] or [-0.022%; +0.022%]	None	None	None

Group 11

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	7e19376f	1763637443	ivoanjo/crash-handling-experiments

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	14.838ms	14.895ms ± 0.034ms	14.888ms ± 0.017ms	14.908ms	14.958ms	15.006ms	15.103ms	1.45%	1.911	7.154	0.23%	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	[14.890ms; 14.900ms] or [-0.032%; +0.032%]	None	None	None

Group 12

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	7e19376f	1763637443	ivoanjo/crash-handling-experiments

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	1.176µs	3.176µs ± 1.439µs	3.003µs ± 0.021µs	3.022µs	3.281µs	13.835µs	15.226µs	406.99%	7.495	56.856	45.20%	0.102µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
write only interface	execution_time	[2.976µs; 3.375µs] or [-6.280%; +6.280%]	None	None	None

Group 13

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	7e19376f	1763637443	ivoanjo/crash-handling-experiments

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	33.353µs	33.834µs ± 0.818µs	33.470µs ± 0.065µs	33.594µs	35.481µs	35.576µs	38.100µs	13.83%	2.020	3.588	2.41%	0.058µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
redis/obfuscate_redis_string	execution_time	[33.720µs; 33.947µs] or [-0.335%; +0.335%]	None	None	None

Group 14

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	7e19376f	1763637443	ivoanjo/crash-handling-experiments

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	2.353µs	2.388µs ± 0.012µs	2.388µs ± 0.006µs	2.394µs	2.410µs	2.414µs	2.415µs	1.14%	-0.243	0.783	0.50%	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	[2.386µs; 2.389µs] or [-0.070%; +0.070%]	None	None	None

Group 15

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	7e19376f	1763637443	ivoanjo/crash-handling-experiments

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	17.833µs	25.644µs ± 9.637µs	18.119µs ± 0.143µs	34.367µs	43.649µs	44.366µs	69.009µs	280.85%	0.935	0.495	37.48%	0.681µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
two way interface	execution_time	[24.309µs; 26.980µs] or [-5.208%; +5.208%]	None	None	None

Group 16

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	7e19376f	1763637443	ivoanjo/crash-handling-experiments

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	189.950ns	192.960ns ± 2.053ns	192.830ns ± 1.399ns	194.014ns	196.781ns	198.657ns	201.412ns	4.45%	0.969	1.166	1.06%	0.145ns	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	[192.676ns; 193.245ns] or [-0.147%; +0.147%]	None	None	None

Group 17

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	7e19376f	1763637443	ivoanjo/crash-handling-experiments

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	144.905µs	147.236µs ± 1.821µs	146.940µs ± 0.612µs	147.571µs	149.230µs	154.814µs	162.886µs	10.85%	4.733	32.321	1.23%	0.129µs	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	[146.984µs; 147.488µs] or [-0.171%; +0.171%]	None	None	None

Baseline

Omitted due to size.

[danielsn]

If we do catch_unwind, we lose the rust frames for debugging. Anything we can do about that?

[danielsn]

Possibly we should publish a crash report when this panic happens?

[ivoanjo]

Possibly we should publish a crash report when this panic happens?

That would be cool! As a bonus we could actually include the panic message, which right now we don't get.

[dd-octo-sts[bot]]

Artifact Size Benchmark Report

aarch64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so	7.32 MB	7.32 MB	0% (0 B) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a	84.53 MB	84.81 MB	+.33% (+289.87 KB) 🔍

aarch64-apple-darwin

Artifact	Baseline	Commit	Change
/aarch64-apple-darwin/lib/libdatadog_profiling.a	56.91 MB	57.13 MB	+.38% (+225.31 KB) 🔍
/aarch64-apple-darwin/lib/libdatadog_profiling.dylib	8.30 MB	8.28 MB	--.17% (-15.14 KB) 💪

aarch64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a	98.10 MB	98.43 MB	+.34% (+344.66 KB) 🔍
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so	9.36 MB	9.42 MB	+.68% (+66.09 KB) 🔍

libdatadog-x64-windows

Artifact	Baseline	Commit	Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll	18.92 MB	19.04 MB	+.60% (+117.50 KB) 🔍
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib	65.49 KB	65.49 KB	0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb	132.79 MB	133.61 MB	+.61% (+840.00 KB) 🔍
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib	709.49 MB	714.51 MB	+.70% (+5.01 MB) 🔍
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll	6.18 MB	6.21 MB	+.41% (+26.50 KB) 🔍
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib	65.49 KB	65.49 KB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb	19.25 MB	19.30 MB	+.24% (+48.00 KB) 🔍
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib	37.83 MB	37.94 MB	+.29% (+113.80 KB) 🔍

libdatadog-x86-windows

Artifact	Baseline	Commit	Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll	16.06 MB	16.16 MB	+.62% (+103.00 KB) 🔍
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib	66.50 KB	66.50 KB	0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb	134.97 MB	135.87 MB	+.67% (+928.00 KB) 🔍
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib	697.83 MB	702.81 MB	+.71% (+4.98 MB) 🔍
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll	4.74 MB	4.76 MB	+.37% (+18.00 KB) 🔍
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib	66.50 KB	66.50 KB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb	20.43 MB	20.51 MB	+.38% (+80.00 KB) 🔍
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib	35.60 MB	35.73 MB	+.34% (+125.25 KB) 🔍

x86_64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a	72.97 MB	73.25 MB	+.37% (+279.41 KB) 🔍
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so	8.71 MB	8.73 MB	+.13% (+12.00 KB) 🔍

x86_64-apple-darwin

Artifact	Baseline	Commit	Change
/x86_64-apple-darwin/lib/libdatadog_profiling.a	58.38 MB	58.53 MB	+.26% (+157.36 KB) 🔍
/x86_64-apple-darwin/lib/libdatadog_profiling.dylib	9.36 MB	9.32 MB	--.49% (-47.63 KB) 💪

x86_64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a	92.47 MB	92.80 MB	+.35% (+333.74 KB) 🔍
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so	10.10 MB	10.12 MB	+.11% (+12.17 KB) 🔍

[ivoanjo]

/merge

[dd-devflow-routing-codex[bot]]

View all feedbacks in Devflow UI.

2025-11-28 14:15:26 UTC :information_source: Start processing command /merge

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2025-11-28 14:15:30 UTC :information_source: MergeQueue: pull request added to the queue

The expected merge time in main is approximately 34m (p90).

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2025-11-28 14:39:01 UTC :information_source: MergeQueue: This merge request was merged