[Crashtracker][bug]Add is_crash field to Log message

[gleocadie]

What does this PR do?

Add is_crash to Log message

Motivation

In this PR we do not fill the Stacktrace field of the log message to reduce the size of the message.
Except that in the backend, we use that field to recognize crash log and symbolize them.

In the backend code, I saw that the Log struct has a IsCrash/is_crash field.https://github.com/DataDog/dd-go/blob/prod/trace/apps/tracer-telemetry-intake/telemetry-payload/logs.go#L65

[pr-commenter]

Benchmarks

Comparison

Benchmark execution time: 2025-06-06 17:03:09

Comparing candidate commit daaeb37 in PR branch gleocadie/help-backend-to-differentiate-crashlog-from-other-logs with baseline commit 3b3f734 in branch main.

Found 0 performance improvements and 0 performance regressions! Performance is the same for 52 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	daaeb37	1749228704	gleocadie/help-backend-to-differentiate-crashlog-from-other-logs

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	243.682ns	254.606ns ± 14.434ns	247.405ns ± 2.683ns	260.957ns	286.023ns	302.289ns	305.157ns	23.34%	1.608	1.672	5.66%	1.021ns	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	[252.606ns; 256.607ns] or [-0.786%; +0.786%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	daaeb37	1749228704	gleocadie/help-backend-to-differentiate-crashlog-from-other-logs

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	3.894µs	3.911µs ± 0.002µs	3.911µs ± 0.001µs	3.912µs	3.914µs	3.915µs	3.918µs	0.19%	-1.436	11.321	0.06%	0.000µs	1	200
credit_card/is_card_number/	throughput	255216868.437op/s	255704266.584op/s ± 152917.829op/s	255709737.835op/s ± 88461.826op/s	255790602.372op/s	255900682.031op/s	255971421.701op/s	256786559.333op/s	0.42%	1.456	11.475	0.06%	10812.923op/s	1	200
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	76.878µs	78.538µs ± 0.869µs	78.500µs ± 0.604µs	79.105µs	79.929µs	80.861µs	81.510µs	3.83%	0.535	0.416	1.10%	0.061µs	1	200
credit_card/is_card_number/ 3782-8224-6310-005	throughput	12268433.321op/s	12734234.481op/s ± 140110.247op/s	12738881.474op/s ± 98472.328op/s	12837558.204op/s	12951223.086op/s	12999733.401op/s	13007566.949op/s	2.11%	-0.466	0.274	1.10%	9907.291op/s	1	200
credit_card/is_card_number/ 378282246310005	execution_time	69.959µs	71.225µs ± 0.634µs	71.152µs ± 0.444µs	71.693µs	72.276µs	72.827µs	73.032µs	2.64%	0.288	-0.313	0.89%	0.045µs	1	200
credit_card/is_card_number/ 378282246310005	throughput	13692719.639op/s	14041152.356op/s ± 124660.115op/s	14054427.831op/s ± 87225.156op/s	14131494.939op/s	14236833.597op/s	14277484.234op/s	14294187.973op/s	1.71%	-0.245	-0.355	0.89%	8814.801op/s	1	200
credit_card/is_card_number/37828224631	execution_time	3.895µs	3.912µs ± 0.003µs	3.911µs ± 0.002µs	3.913µs	3.916µs	3.918µs	3.919µs	0.21%	-0.635	5.896	0.07%	0.000µs	1	200
credit_card/is_card_number/37828224631	throughput	255145899.650op/s	255649889.557op/s ± 181432.460op/s	255671697.144op/s ± 108998.201op/s	255763224.703op/s	255885346.726op/s	255931576.367op/s	256754903.195op/s	0.42%	0.651	5.988	0.07%	12829.212op/s	1	200
credit_card/is_card_number/378282246310005	execution_time	66.880µs	68.239µs ± 0.665µs	68.193µs ± 0.390µs	68.576µs	69.483µs	69.800µs	69.962µs	2.59%	0.353	-0.110	0.97%	0.047µs	1	200
credit_card/is_card_number/378282246310005	throughput	14293506.956op/s	14655672.155op/s ± 142380.841op/s	14664172.570op/s ± 84407.790op/s	14748376.157op/s	14896317.636op/s	14929891.787op/s	14952218.507op/s	1.96%	-0.301	-0.147	0.97%	10067.846op/s	1	200
credit_card/is_card_number/37828224631000521389798	execution_time	52.147µs	52.214µs ± 0.037µs	52.209µs ± 0.026µs	52.240µs	52.279µs	52.302µs	52.341µs	0.25%	0.540	-0.184	0.07%	0.003µs	1	200
credit_card/is_card_number/37828224631000521389798	throughput	19105340.679op/s	19151859.241op/s ± 13635.043op/s	19153615.690op/s ± 9567.043op/s	19162424.880op/s	19170296.968op/s	19174810.416op/s	19176478.132op/s	0.12%	-0.537	-0.191	0.07%	964.143op/s	1	200
credit_card/is_card_number/x371413321323331	execution_time	6.027µs	6.034µs ± 0.006µs	6.033µs ± 0.003µs	6.037µs	6.042µs	6.058µs	6.072µs	0.64%	3.075	15.794	0.09%	0.000µs	1	200
credit_card/is_card_number/x371413321323331	throughput	164697416.674op/s	165717067.846op/s ± 152485.267op/s	165747342.070op/s ± 70533.097op/s	165812701.253op/s	165881963.107op/s	165909244.436op/s	165921902.822op/s	0.11%	-3.052	15.602	0.09%	10782.337op/s	1	200
credit_card/is_card_number_no_luhn/	execution_time	3.893µs	3.912µs ± 0.003µs	3.912µs ± 0.002µs	3.914µs	3.917µs	3.919µs	3.924µs	0.29%	-1.033	12.188	0.07%	0.000µs	1	200
credit_card/is_card_number_no_luhn/	throughput	254870269.837op/s	255598303.587op/s ± 180323.703op/s	255610804.616op/s ± 104074.221op/s	255707939.737op/s	255806226.094op/s	255848143.712op/s	256871875.182op/s	0.49%	1.061	12.366	0.07%	12750.811op/s	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	63.973µs	64.390µs ± 0.220µs	64.356µs ± 0.096µs	64.472µs	64.631µs	64.938µs	65.973µs	2.51%	3.755	24.419	0.34%	0.016µs	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	15157618.831op/s	15530537.039op/s ± 52466.152op/s	15538448.323op/s ± 23285.045op/s	15559097.079op/s	15589077.284op/s	15608533.271op/s	15631571.084op/s	0.60%	-3.631	23.283	0.34%	3709.917op/s	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	57.836µs	58.052µs ± 0.139µs	58.012µs ± 0.062µs	58.093µs	58.330µs	58.574µs	58.653µs	1.10%	1.788	3.882	0.24%	0.010µs	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	17049545.585op/s	17225955.827op/s ± 41037.384op/s	17237918.504op/s ± 18380.781op/s	17251656.546op/s	17268066.769op/s	17282486.965op/s	17290227.563op/s	0.30%	-1.769	3.794	0.24%	2901.781op/s	1	200
credit_card/is_card_number_no_luhn/37828224631	execution_time	3.891µs	3.912µs ± 0.004µs	3.911µs ± 0.002µs	3.914µs	3.918µs	3.923µs	3.936µs	0.63%	1.121	10.504	0.10%	0.000µs	1	200
credit_card/is_card_number_no_luhn/37828224631	throughput	254054813.221op/s	255606881.566op/s ± 265037.102op/s	255657113.800op/s ± 136885.132op/s	255767758.073op/s	255868794.008op/s	255908494.520op/s	257020914.423op/s	0.53%	-1.086	10.461	0.10%	18740.953op/s	1	200
credit_card/is_card_number_no_luhn/378282246310005	execution_time	54.577µs	54.865µs ± 0.205µs	54.807µs ± 0.107µs	54.949µs	55.312µs	55.447µs	55.592µs	1.43%	1.275	1.243	0.37%	0.014µs	1	200
credit_card/is_card_number_no_luhn/378282246310005	throughput	17988139.623op/s	18226921.736op/s ± 67693.927op/s	18245773.594op/s ± 35529.992op/s	18274195.017op/s	18301092.851op/s	18316293.022op/s	18322668.806op/s	0.42%	-1.257	1.185	0.37%	4786.683op/s	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	52.142µs	52.208µs ± 0.035µs	52.204µs ± 0.024µs	52.228µs	52.269µs	52.285µs	52.466µs	0.50%	2.170	12.624	0.07%	0.003µs	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	19059958.858op/s	19154242.885op/s ± 12981.803op/s	19155539.036op/s ± 8643.907op/s	19163790.976op/s	19169235.390op/s	19174219.349op/s	19178307.416op/s	0.12%	-2.150	12.439	0.07%	917.952op/s	1	200
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	6.027µs	6.034µs ± 0.007µs	6.033µs ± 0.002µs	6.036µs	6.043µs	6.055µs	6.108µs	1.24%	6.015	53.285	0.12%	0.001µs	1	200
credit_card/is_card_number_no_luhn/x371413321323331	throughput	163727197.309op/s	165716269.927op/s ± 198277.218op/s	165751095.139op/s ± 68244.478op/s	165814666.313op/s	165886715.622op/s	165909860.536op/s	165925041.111op/s	0.10%	-5.947	52.325	0.12%	14020.317op/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	[3.910µs; 3.911µs] or [-0.008%; +0.008%]	None	None	None
credit_card/is_card_number/	throughput	[255683073.644op/s; 255725459.524op/s] or [-0.008%; +0.008%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	[78.418µs; 78.658µs] or [-0.153%; +0.153%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	throughput	[12714816.549op/s; 12753652.414op/s] or [-0.152%; +0.152%]	None	None	None
credit_card/is_card_number/ 378282246310005	execution_time	[71.137µs; 71.313µs] or [-0.123%; +0.123%]	None	None	None
credit_card/is_card_number/ 378282246310005	throughput	[14023875.663op/s; 14058429.049op/s] or [-0.123%; +0.123%]	None	None	None
credit_card/is_card_number/37828224631	execution_time	[3.911µs; 3.912µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/37828224631	throughput	[255624744.763op/s; 255675034.351op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/378282246310005	execution_time	[68.147µs; 68.332µs] or [-0.135%; +0.135%]	None	None	None
credit_card/is_card_number/378282246310005	throughput	[14635939.539op/s; 14675404.770op/s] or [-0.135%; +0.135%]	None	None	None
credit_card/is_card_number/37828224631000521389798	execution_time	[52.209µs; 52.219µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/37828224631000521389798	throughput	[19149969.555op/s; 19153748.927op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/x371413321323331	execution_time	[6.034µs; 6.035µs] or [-0.013%; +0.013%]	None	None	None
credit_card/is_card_number/x371413321323331	throughput	[165695934.854op/s; 165738200.837op/s] or [-0.013%; +0.013%]	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	[255573312.456op/s; 255623294.718op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	[64.359µs; 64.421µs] or [-0.047%; +0.047%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	[15523265.735op/s; 15537808.343op/s] or [-0.047%; +0.047%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	[58.033µs; 58.072µs] or [-0.033%; +0.033%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	[17220268.441op/s; 17231643.214op/s] or [-0.033%; +0.033%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	execution_time	[3.912µs; 3.913µs] or [-0.014%; +0.014%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	throughput	[255570149.973op/s; 255643613.160op/s] or [-0.014%; +0.014%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	execution_time	[54.836µs; 54.893µs] or [-0.052%; +0.052%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	throughput	[18217540.009op/s; 18236303.463op/s] or [-0.051%; +0.051%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	[52.203µs; 52.213µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	[19152443.732op/s; 19156042.038op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	[6.033µs; 6.035µs] or [-0.017%; +0.017%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	throughput	[165688790.612op/s; 165743749.243op/s] or [-0.017%; +0.017%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	daaeb37	1749228704	gleocadie/help-backend-to-differentiate-crashlog-from-other-logs

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	35.049µs	35.472µs ± 0.633µs	35.158µs ± 0.063µs	35.418µs	36.714µs	36.781µs	39.034µs	11.03%	2.046	4.551	1.78%	0.045µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
redis/obfuscate_redis_string	execution_time	[35.384µs; 35.560µs] or [-0.247%; +0.247%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	daaeb37	1749228704	gleocadie/help-backend-to-differentiate-crashlog-from-other-logs

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	18.430µs	28.046µs ± 9.655µs	20.469µs ± 1.626µs	35.837µs	44.751µs	46.105µs	68.185µs	233.11%	0.878	0.741	34.34%	0.683µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
two way interface	execution_time	[26.708µs; 29.384µs] or [-4.771%; +4.771%]	None	None	None

Group 5

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	daaeb37	1749228704	gleocadie/help-backend-to-differentiate-crashlog-from-other-logs

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	532.222µs	533.035µs ± 0.525µs	532.990µs ± 0.225µs	533.201µs	533.646µs	533.916µs	538.636µs	1.06%	6.142	63.033	0.10%	0.037µs	1	200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	1856541.338op/s	1876049.935op/s ± 1836.298op/s	1876208.534op/s ± 791.941op/s	1877029.815op/s	1878038.667op/s	1878582.395op/s	1878916.643op/s	0.14%	-6.062	61.908	0.10%	129.846op/s	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	384.549µs	386.005µs ± 0.601µs	386.152µs ± 0.248µs	386.377µs	386.706µs	386.970µs	387.190µs	0.27%	-0.954	0.058	0.16%	0.043µs	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	2582708.905op/s	2590646.783op/s ± 4041.323op/s	2589652.901op/s ± 1663.906op/s	2591367.114op/s	2598959.736op/s	2600232.301op/s	2600447.301op/s	0.42%	0.959	0.064	0.16%	285.765op/s	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	189.172µs	189.849µs ± 0.440µs	189.782µs ± 0.175µs	190.001µs	190.270µs	190.718µs	193.288µs	1.85%	4.726	34.364	0.23%	0.031µs	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	5173617.997op/s	5267358.176op/s ± 12086.987op/s	5269205.040op/s ± 4842.238op/s	5273388.874op/s	5279867.178op/s	5283823.676op/s	5286208.188op/s	0.32%	-4.629	33.388	0.23%	854.679op/s	1	200
normalization/normalize_service/normalize_service/[empty string]	execution_time	37.558µs	37.678µs ± 0.044µs	37.675µs ± 0.030µs	37.708µs	37.753µs	37.788µs	37.855µs	0.48%	0.438	0.713	0.12%	0.003µs	1	200
normalization/normalize_service/normalize_service/[empty string]	throughput	26416787.822op/s	26540934.557op/s ± 31250.627op/s	26542841.954op/s ± 21349.851op/s	26562151.152op/s	26586569.672op/s	26603487.742op/s	26625171.311op/s	0.31%	-0.429	0.695	0.12%	2209.753op/s	1	200
normalization/normalize_service/normalize_service/test_ASCII	execution_time	44.930µs	45.161µs ± 0.245µs	45.145µs ± 0.148µs	45.281µs	45.416µs	45.539µs	47.737µs	5.74%	5.905	59.316	0.54%	0.017µs	1	200
normalization/normalize_service/normalize_service/test_ASCII	throughput	20947984.757op/s	22143401.697op/s ± 116426.160op/s	22150765.502op/s ± 72738.431op/s	22228009.866op/s	22248887.377op/s	22252971.763op/s	22257091.666op/s	0.48%	-5.491	53.545	0.52%	8232.573op/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	[532.963µs; 533.108µs] or [-0.014%; +0.014%]	None	None	None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	[1875795.441op/s; 1876304.428op/s] or [-0.014%; +0.014%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	[385.922µs; 386.088µs] or [-0.022%; +0.022%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	[2590086.694op/s; 2591206.871op/s] or [-0.022%; +0.022%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	[189.788µs; 189.911µs] or [-0.032%; +0.032%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	[5265683.036op/s; 5269033.316op/s] or [-0.032%; +0.032%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	execution_time	[37.672µs; 37.684µs] or [-0.016%; +0.016%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	throughput	[26536603.520op/s; 26545265.593op/s] or [-0.016%; +0.016%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	execution_time	[45.128µs; 45.195µs] or [-0.075%; +0.075%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	throughput	[22127266.151op/s; 22159537.243op/s] or [-0.073%; +0.073%]	None	None	None

Group 6

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	daaeb37	1749228704	gleocadie/help-backend-to-differentiate-crashlog-from-other-logs

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	8.146ms	8.166ms ± 0.009ms	8.165ms ± 0.007ms	8.172ms	8.184ms	8.192ms	8.201ms	0.45%	0.722	0.644	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	[8.165ms; 8.167ms] or [-0.016%; +0.016%]	None	None	None

Group 7

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	daaeb37	1749228704	gleocadie/help-backend-to-differentiate-crashlog-from-other-logs

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	1.238µs	3.280µs ± 1.454µs	3.049µs ± 0.030µs	3.087µs	3.706µs	14.387µs	15.086µs	394.82%	7.314	54.779	44.22%	0.103µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
write only interface	execution_time	[3.079µs; 3.482µs] or [-6.144%; +6.144%]	None	None	None

Group 8

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	daaeb37	1749228704	gleocadie/help-backend-to-differentiate-crashlog-from-other-logs

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	88.871µs	89.163µs ± 0.211µs	89.111µs ± 0.093µs	89.267µs	89.387µs	89.510µs	91.261µs	2.41%	5.406	48.714	0.24%	0.015µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sql/obfuscate_sql_string	execution_time	[89.134µs; 89.193µs] or [-0.033%; +0.033%]	None	None	None

Group 9

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	daaeb37	1749228704	gleocadie/help-backend-to-differentiate-crashlog-from-other-logs

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	72.007ms	72.258ms ± 0.122ms	72.243ms ± 0.066ms	72.313ms	72.437ms	72.615ms	73.009ms	1.06%	1.914	8.424	0.17%	0.009ms	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	[72.241ms; 72.275ms] or [-0.023%; +0.023%]	None	None	None

Group 10

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	daaeb37	1749228704	gleocadie/help-backend-to-differentiate-crashlog-from-other-logs

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	150.144µs	150.872µs ± 0.341µs	150.840µs ± 0.143µs	150.980µs	151.359µs	151.997µs	153.941µs	2.06%	4.193	32.583	0.23%	0.024µs	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	[150.825µs; 150.920µs] or [-0.031%; +0.031%]	None	None	None

Group 11

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	daaeb37	1749228704	gleocadie/help-backend-to-differentiate-crashlog-from-other-logs

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	204.353µs	204.994µs ± 0.350µs	204.942µs ± 0.215µs	205.165µs	205.627µs	205.932µs	206.245µs	0.64%	0.859	0.581	0.17%	0.025µs	1	200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	4848599.849op/s	4878207.710op/s ± 8321.046op/s	4879421.902op/s ± 5106.455op/s	4884360.617op/s	4888945.524op/s	4891130.647op/s	4893502.830op/s	0.29%	-0.849	0.558	0.17%	588.387op/s	1	200
normalization/normalize_name/normalize_name/bad-name	execution_time	18.607µs	18.741µs ± 0.065µs	18.744µs ± 0.042µs	18.782µs	18.853µs	18.881µs	18.958µs	1.14%	0.284	0.021	0.34%	0.005µs	1	200
normalization/normalize_name/normalize_name/bad-name	throughput	52749312.024op/s	53359164.894op/s ± 183799.975op/s	53351068.813op/s ± 120764.889op/s	53478765.960op/s	53648761.380op/s	53702874.892op/s	53741942.124op/s	0.73%	-0.265	-0.009	0.34%	12996.621op/s	1	200
normalization/normalize_name/normalize_name/good	execution_time	10.834µs	10.907µs ± 0.028µs	10.904µs ± 0.017µs	10.924µs	10.950µs	10.985µs	11.001µs	0.89%	0.545	0.740	0.26%	0.002µs	1	200
normalization/normalize_name/normalize_name/good	throughput	90901653.501op/s	91684786.727op/s ± 234328.583op/s	91707070.686op/s ± 145956.253op/s	91840874.418op/s	92045319.575op/s	92147200.086op/s	92301356.830op/s	0.65%	-0.526	0.709	0.25%	16569.533op/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	[204.945µs; 205.042µs] or [-0.024%; +0.024%]	None	None	None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	[4877054.493op/s; 4879360.927op/s] or [-0.024%; +0.024%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	execution_time	[18.732µs; 18.750µs] or [-0.048%; +0.048%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	throughput	[53333691.985op/s; 53384637.803op/s] or [-0.048%; +0.048%]	None	None	None
normalization/normalize_name/normalize_name/good	execution_time	[10.903µs; 10.911µs] or [-0.035%; +0.035%]	None	None	None
normalization/normalize_name/normalize_name/good	throughput	[91652311.039op/s; 91717262.415op/s] or [-0.035%; +0.035%]	None	None	None

Group 12

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	daaeb37	1749228704	gleocadie/help-backend-to-differentiate-crashlog-from-other-logs

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	2.301µs	2.363µs ± 0.019µs	2.360µs ± 0.007µs	2.370µs	2.403µs	2.407µs	2.420µs	2.54%	0.066	1.633	0.80%	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	[2.360µs; 2.365µs] or [-0.111%; +0.111%]	None	None	None

Group 13

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	daaeb37	1749228704	gleocadie/help-backend-to-differentiate-crashlog-from-other-logs

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	4.995µs	5.077µs ± 0.036µs	5.078µs ± 0.028µs	5.105µs	5.132µs	5.136µs	5.142µs	1.26%	-0.092	-1.120	0.71%	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	[5.072µs; 5.082µs] or [-0.099%; +0.099%]	None	None	None

Baseline

Omitted due to size.

[codecov-commenter]

Codecov Report

Attention: Patch coverage is 75.00000% with 1 line in your changes missing coverage. Please review.

Project coverage is 71.00%. Comparing base (8aecbce) to head (39885c2).

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #1093      +/-   ##
==========================================
+ Coverage   70.99%   71.00%   +0.01%     
==========================================
  Files         335      335              
  Lines       51017    51021       +4     
==========================================
+ Hits        36219    36230      +11     
+ Misses      14798    14791       -7     

Components	Coverage Δ
datadog-crashtracker	44.40% <100.00%> (+0.01%)	⬆️
datadog-crashtracker-ffi	6.03% <ø> (ø)
datadog-alloc	98.73% <ø> (ø)
data-pipeline	89.35% <ø> (ø)
data-pipeline-ffi	88.94% <ø> (ø)
ddcommon	78.91% <ø> (ø)
ddcommon-ffi	68.64% <ø> (ø)
ddtelemetry	60.22% <0.00%> (+0.04%)	⬆️
ddtelemetry-ffi	21.32% <ø> (ø)
dogstatsd-client	83.26% <ø> (ø)
datadog-ipc	82.58% <ø> (ø)
datadog-profiling	77.17% <ø> (ø)
datadog-profiling-ffi	62.12% <ø> (ø)
datadog-sidecar	42.10% <ø> (ø)
datdog-sidecar-ffi	10.36% <ø> (ø)
spawn-worker	55.35% <ø> (ø)
tinybytes	90.96% <ø> (ø)
datadog-trace-normalization	98.24% <ø> (ø)
datadog-trace-obfuscation	94.17% <ø> (ø)
datadog-trace-protobuf	77.10% <ø> (ø)
datadog-trace-utils	89.23% <ø> (ø)
datadog-log	76.31% <ø> (ø)

🚀 New features to boost your workflow:

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

[r1viollet]

Artifact Size Benchmark Report

aarch64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so.debug	21.99 MB	21.99 MB	+0% (+32 B) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so	9.16 MB	9.16 MB	0% (0 B) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a	69.95 MB	69.95 MB	+0% (+272 B) 👌

aarch64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so	9.08 MB	9.08 MB	0% (0 B) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a	81.67 MB	81.67 MB	+0% (+264 B) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so.debug	25.88 MB	25.88 MB	+0% (+80 B) 👌

libdatadog-x64-windows

Artifact	Baseline	Commit	Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll	16.02 MB	16.02 MB	+0% (+512 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib	62.65 KB	62.65 KB	0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb	109.12 MB	109.10 MB	--.01% (-16.00 KB) 💪
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib	584.33 MB	584.33 MB	+0% (+3.16 KB) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll	5.01 MB	5.01 MB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib	62.65 KB	62.65 KB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb	15.54 MB	15.54 MB	0% (0 B) 👌
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib	28.58 MB	28.58 MB	+0% (+246 B) 👌

libdatadog-x86-windows

Artifact	Baseline	Commit	Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll	13.58 MB	13.58 MB	0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib	63.60 KB	63.60 KB	0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb	110.90 MB	110.90 MB	0% (0 B) 👌
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib	575.07 MB	575.07 MB	+0% (+3.09 KB) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll	3.78 MB	3.78 MB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib	63.60 KB	63.60 KB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb	16.51 MB	16.51 MB	0% (0 B) 👌
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib	26.79 MB	26.79 MB	+0% (+134 B) 👌

x86_64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a	62.68 MB	62.68 MB	+0% (+208 B) 👌
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so	9.80 MB	9.80 MB	0% (0 B) 👌
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so.debug	20.83 MB	20.83 MB	+0% (+16 B) 👌

x86_64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a	76.72 MB	76.72 MB	+0% (+168 B) 👌
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so	9.70 MB	9.70 MB	0% (0 B) 👌
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so.debug	23.84 MB	23.84 MB	+0% (+56 B) 👌

[gleocadie]

/merge

[dd-devflow]

View all feedbacks in Devflow UI.

2025-06-06 11:47:22 UTC ℹ️ Start processing command /merge

---

2025-06-06 11:47:28 UTC ℹ️ MergeQueue: waiting for PR to be ready

This merge request is not mergeable yet, because of pending checks/missing approvals. It will be added to the queue as soon as checks pass and/or get approvals.
Note: if you pushed new commits since the last approval, you may need additional approval.
You can remove it from the waiting list with /remove command.

---

2025-06-06 15:48:07 UTC ⚠️ MergeQueue: This merge request was unqueued

devflow unqueued this merge request: It did not become mergeable within the expected time

[gleocadie]

/merge -c

[dd-devflow]

View all feedbacks in Devflow UI.

2025-06-06 16:51:33 UTC ℹ️ Start processing command /merge -c
If you need support, contact us on Slack #devflow!

---

2025-06-06 16:51:35 UTC ❌ Devflow: /merge -c

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[danielsn]

good catch

[gleocadie]

/merge

[dd-devflow]

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2025-06-11 13:14:23 UTC ℹ️ Start processing command /merge

---

2025-06-11 13:14:31 UTC ℹ️ MergeQueue: pull request added to the queue

The expected merge time in main is approximately 0s (p90).

---

2025-06-11 14:02:17 UTC ❌ MergeQueue: The checks failed on this merge request

Tests failed on this commit dae3fe4:

• cargo test --workspace #macos-13

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• If your PR checks are green, try to rebase/merge. It might be because the CI run is a bit old.
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[gleocadie]

/merge

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2025-06-11 14:33:18 UTC ℹ️ Start processing command /merge

---

2025-06-11 14:33:24 UTC ❌ MergeQueue

This PR is rejected because it was updated