chore(ddtelemetry): migrate from RawTable to HashTable API

[morrisonlevi]

What does this PR do?

Update the QueueHashMap implementation to use the newer, more stable
HashTable API from hashbrown. This change maintains the same
functionality while using the recommended API... I think.

Update hashbrown dependency to v0.15 and fix DefaultHashBuilder import
path. The raw feature is no longer needed since we migrated to the
hash_table module.

Motivation

I was looking at upgrading hashbrown and noticed this old API usage
which is problematic.

Additional Notes

I did this migration with the help of Cursor. The tests pass, and the code
changes do seem logical.

How to test the change?

cargo test of course, but I'm not sure if the existing tests are
comprehensive enough. Now would be a good time to add them if needed.

[pr-commenter]

Benchmarks

Comparison

Benchmark execution time: 2025-04-08 19:54:34

Comparing candidate commit 0d78dd1 in PR branch levi/rawtable-migration with baseline commit b14e541 in branch main.

Found 10 performance improvements and 0 performance regressions! Performance is the same for 42 metrics, 2 unstable metrics.

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

• 🟩 execution_time [-4.995µs; -4.874µs] or [-6.070%; -5.923%]
• 🟩 throughput [+765539.930op/s; +785169.787op/s] or [+6.300%; +6.462%]

scenario:credit_card/is_card_number/ 378282246310005

• 🟩 execution_time [-5.571µs; -5.448µs] or [-7.245%; -7.085%]
• 🟩 throughput [+992576.722op/s; +1015185.959op/s] or [+7.632%; +7.806%]

scenario:credit_card/is_card_number/378282246310005

• 🟩 execution_time [-6.005µs; -5.841µs] or [-8.144%; -7.922%]
• 🟩 throughput [+1168275.756op/s; +1200988.135op/s] or [+8.614%; +8.855%]

scenario:credit_card/is_card_number/x371413321323331

• 🟩 execution_time [-560.670ns; -542.718ns] or [-8.503%; -8.230%]
• 🟩 throughput [+13625621.242op/s; +14041799.030op/s] or [+8.984%; +9.258%]

scenario:credit_card/is_card_number_no_luhn/x371413321323331

• 🟩 execution_time [-568.467ns; -550.544ns] or [-8.611%; -8.339%]
• 🟩 throughput [+13805666.758op/s; +14219860.821op/s] or [+9.114%; +9.387%]

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	0d78dd1	1744141374	levi/rawtable-migration

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	67.641µs	67.872µs ± 0.247µs	67.844µs ± 0.044µs	67.883µs	68.035µs	68.247µs	70.782µs	4.33%	9.102	99.160	0.36%	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	[67.838µs; 67.906µs] or [-0.050%; +0.050%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	0d78dd1	1744141374	levi/rawtable-migration

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	1.186µs	3.149µs ± 1.411µs	2.953µs ± 0.029µs	2.990µs	3.597µs	13.754µs	14.876µs	403.70%	7.401	55.734	44.71%	0.100µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
write only interface	execution_time	[2.954µs; 3.345µs] or [-6.211%; +6.211%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	0d78dd1	1744141374	levi/rawtable-migration

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	54.897ms	55.190ms ± 0.172ms	55.206ms ± 0.112ms	55.285ms	55.443ms	55.786ms	55.888ms	1.24%	0.748	1.779	0.31%	0.012ms	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	[55.166ms; 55.213ms] or [-0.043%; +0.043%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	0d78dd1	1744141374	levi/rawtable-migration

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	2.315µs	2.394µs ± 0.026µs	2.396µs ± 0.016µs	2.411µs	2.437µs	2.447µs	2.459µs	2.63%	-0.653	1.200	1.07%	0.002µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
tags/replace_trace_tags	execution_time	[2.391µs; 2.398µs] or [-0.149%; +0.149%]	None	None	None

Group 5

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	0d78dd1	1744141374	levi/rawtable-migration

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	3.912µs ± 0.003µs	3.913µs ± 0.001µs	3.914µs	3.915µs	3.918µs	3.920µs	0.18%	-2.341	15.227	0.07%	0.000µs	1	200
credit_card/is_card_number/	throughput	255102957.398op/s	255593909.447op/s ± 173540.868op/s	255571082.134op/s ± 72859.850op/s	255645939.590op/s	255861870.815op/s	256026514.140op/s	256904096.575op/s	0.52%	2.365	15.440	0.07%	12271.192op/s	1	200
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	76.724µs	77.360µs ± 0.387µs	77.282µs ± 0.283µs	77.610µs	78.139µs	78.359µs	78.393µs	1.44%	0.666	-0.364	0.50%	0.027µs	1	200
credit_card/is_card_number/ 3782-8224-6310-005	throughput	12756279.794op/s	12926846.391op/s ± 64505.447op/s	12939692.622op/s ± 47503.212op/s	12983347.563op/s	13002883.651op/s	13019076.651op/s	13033673.800op/s	0.73%	-0.649	-0.398	0.50%	4561.224op/s	1	200
credit_card/is_card_number/ 378282246310005	execution_time	70.810µs	71.380µs ± 0.326µs	71.311µs ± 0.204µs	71.562µs	71.968µs	72.346µs	72.732µs	1.99%	1.117	1.723	0.46%	0.023µs	1	200
credit_card/is_card_number/ 378282246310005	throughput	13749044.636op/s	14009754.068op/s ± 63621.920op/s	14022987.161op/s ± 40187.712op/s	14059485.484op/s	14088660.389op/s	14102071.253op/s	14122256.677op/s	0.71%	-1.084	1.595	0.45%	4498.749op/s	1	200
credit_card/is_card_number/37828224631	execution_time	3.893µs	3.913µs ± 0.002µs	3.913µs ± 0.001µs	3.914µs	3.916µs	3.917µs	3.918µs	0.12%	-3.125	23.187	0.06%	0.000µs	1	200
credit_card/is_card_number/37828224631	throughput	255246814.982op/s	255568726.533op/s ± 158263.279op/s	255565447.557op/s ± 71548.743op/s	255627269.040op/s	255787387.296op/s	255995771.255op/s	256893742.577op/s	0.52%	3.153	23.490	0.06%	11190.904op/s	1	200
credit_card/is_card_number/378282246310005	execution_time	67.097µs	67.812µs ± 0.409µs	67.738µs ± 0.253µs	68.078µs	68.461µs	68.892µs	69.482µs	2.57%	0.898	1.417	0.60%	0.029µs	1	200
credit_card/is_card_number/378282246310005	throughput	14392183.100op/s	14747103.412op/s ± 88556.434op/s	14762669.638op/s ± 55265.906op/s	14806355.630op/s	14869964.733op/s	14898964.775op/s	14903771.984op/s	0.96%	-0.851	1.256	0.60%	6261.885op/s	1	200
credit_card/is_card_number/37828224631000521389798	execution_time	51.726µs	51.833µs ± 0.036µs	51.833µs ± 0.022µs	51.854µs	51.902µs	51.920µs	51.945µs	0.22%	0.210	0.690	0.07%	0.003µs	1	200
credit_card/is_card_number/37828224631000521389798	throughput	19251059.955op/s	19292641.763op/s ± 13462.844op/s	19292760.392op/s ± 8333.284op/s	19301546.537op/s	19313556.186op/s	19325488.344op/s	19332664.470op/s	0.21%	-0.204	0.688	0.07%	951.967op/s	1	200
credit_card/is_card_number/x371413321323331	execution_time	6.028µs	6.042µs ± 0.015µs	6.038µs ± 0.002µs	6.040µs	6.075µs	6.110µs	6.115µs	1.28%	2.840	8.353	0.25%	0.001µs	1	200
credit_card/is_card_number/x371413321323331	throughput	163521988.965op/s	165499161.090op/s ± 405922.790op/s	165616072.024op/s ± 54526.263op/s	165661764.572op/s	165815103.417op/s	165872314.509op/s	165879914.769op/s	0.16%	-2.823	8.232	0.24%	28703.076op/s	1	200
credit_card/is_card_number_no_luhn/	execution_time	3.896µs	3.912µs ± 0.003µs	3.913µs ± 0.001µs	3.914µs	3.916µs	3.918µs	3.918µs	0.15%	-1.206	5.688	0.07%	0.000µs	1	200
credit_card/is_card_number_no_luhn/	throughput	255206583.591op/s	255609946.627op/s ± 171406.300op/s	255590377.302op/s ± 85180.116op/s	255686812.984op/s	255887374.812op/s	255990162.806op/s	256647620.007op/s	0.41%	1.219	5.767	0.07%	12120.256op/s	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	65.884µs	66.246µs ± 0.148µs	66.233µs ± 0.078µs	66.308µs	66.488µs	66.789µs	66.881µs	0.98%	1.265	3.393	0.22%	0.010µs	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	14951845.712op/s	15095310.635op/s ± 33534.417op/s	15098270.871op/s ± 17707.723op/s	15116858.047op/s	15140497.391op/s	15155461.843op/s	15178257.147op/s	0.53%	-1.239	3.303	0.22%	2371.241op/s	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	59.496µs	59.631µs ± 0.045µs	59.629µs ± 0.031µs	59.660µs	59.706µs	59.727µs	59.745µs	0.19%	-0.060	-0.171	0.08%	0.003µs	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	16737793.989op/s	16769879.743op/s ± 12730.473op/s	16770324.910op/s ± 8833.697op/s	16779117.550op/s	16789968.920op/s	16799579.922op/s	16807733.238op/s	0.22%	0.064	-0.169	0.08%	900.180op/s	1	200
credit_card/is_card_number_no_luhn/37828224631	execution_time	3.893µs	3.913µs ± 0.003µs	3.913µs ± 0.002µs	3.915µs	3.919µs	3.920µs	3.921µs	0.21%	-1.037	6.397	0.08%	0.000µs	1	200
credit_card/is_card_number_no_luhn/37828224631	throughput	255027161.839op/s	255557556.758op/s ± 215572.151op/s	255572993.004op/s ± 107657.455op/s	255657567.251op/s	255876665.039op/s	256085311.085op/s	256883023.388op/s	0.51%	1.055	6.509	0.08%	15243.253op/s	1	200
credit_card/is_card_number_no_luhn/378282246310005	execution_time	56.203µs	56.489µs ± 0.126µs	56.484µs ± 0.082µs	56.571µs	56.648µs	56.804µs	57.254µs	1.36%	1.606	8.193	0.22%	0.009µs	1	200
credit_card/is_card_number_no_luhn/378282246310005	throughput	17465915.462op/s	17702766.651op/s ± 39339.836op/s	17704243.941op/s ± 25850.728op/s	17728860.732op/s	17760104.800op/s	17777120.692op/s	17792486.233op/s	0.50%	-1.555	7.875	0.22%	2781.747op/s	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	51.734µs	51.816µs ± 0.031µs	51.820µs ± 0.016µs	51.835µs	51.860µs	51.876µs	51.972µs	0.29%	0.123	2.515	0.06%	0.002µs	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	19241196.978op/s	19298909.457op/s ± 11510.060op/s	19297630.251op/s ± 6054.858op/s	19303755.546op/s	19318509.073op/s	19325790.153op/s	19329471.645op/s	0.17%	-0.115	2.485	0.06%	813.884op/s	1	200
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	6.025µs	6.042µs ± 0.013µs	6.038µs ± 0.002µs	6.041µs	6.075µs	6.077µs	6.115µs	1.27%	2.437	6.195	0.22%	0.001µs	1	200
credit_card/is_card_number_no_luhn/x371413321323331	throughput	163522958.376op/s	165498597.080op/s ± 356322.706op/s	165604339.025op/s ± 63706.357op/s	165663290.165op/s	165790531.601op/s	165862338.056op/s	165969045.118op/s	0.22%	-2.422	6.084	0.21%	25195.820op/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	[255569858.352op/s; 255617960.542op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	[77.307µs; 77.414µs] or [-0.069%; +0.069%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	throughput	[12917906.557op/s; 12935786.226op/s] or [-0.069%; +0.069%]	None	None	None
credit_card/is_card_number/ 378282246310005	execution_time	[71.335µs; 71.425µs] or [-0.063%; +0.063%]	None	None	None
credit_card/is_card_number/ 378282246310005	throughput	[14000936.681op/s; 14018571.454op/s] or [-0.063%; +0.063%]	None	None	None
credit_card/is_card_number/37828224631	execution_time	[3.913µs; 3.913µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number/37828224631	throughput	[255546792.765op/s; 255590660.302op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number/378282246310005	execution_time	[67.756µs; 67.869µs] or [-0.084%; +0.084%]	None	None	None
credit_card/is_card_number/378282246310005	throughput	[14734830.342op/s; 14759376.482op/s] or [-0.083%; +0.083%]	None	None	None
credit_card/is_card_number/37828224631000521389798	execution_time	[51.828µs; 51.838µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/37828224631000521389798	throughput	[19290775.942op/s; 19294507.584op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/x371413321323331	execution_time	[6.040µs; 6.044µs] or [-0.034%; +0.034%]	None	None	None
credit_card/is_card_number/x371413321323331	throughput	[165442904.095op/s; 165555418.085op/s] or [-0.034%; +0.034%]	None	None	None
credit_card/is_card_number_no_luhn/	execution_time	[3.912µs; 3.913µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/	throughput	[255586191.363op/s; 255633701.892op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	[66.226µs; 66.267µs] or [-0.031%; +0.031%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	[15090663.088op/s; 15099958.183op/s] or [-0.031%; +0.031%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	[59.624µs; 59.637µs] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	[16768115.422op/s; 16771644.064op/s] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	execution_time	[3.913µs; 3.913µs] or [-0.012%; +0.012%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	throughput	[255527680.531op/s; 255587432.985op/s] or [-0.012%; +0.012%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	execution_time	[56.471µs; 56.506µs] or [-0.031%; +0.031%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	throughput	[17697314.528op/s; 17708218.774op/s] or [-0.031%; +0.031%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	[51.812µs; 51.821µs] or [-0.008%; +0.008%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	[19297314.273op/s; 19300504.640op/s] or [-0.008%; +0.008%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	[6.041µs; 6.044µs] or [-0.030%; +0.030%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	throughput	[165449214.180op/s; 165547979.980op/s] or [-0.030%; +0.030%]	None	None	None

Group 6

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	0d78dd1	1744141374	levi/rawtable-migration

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	6.014ms	6.029ms ± 0.014ms	6.028ms ± 0.003ms	6.031ms	6.037ms	6.072ms	6.172ms	2.40%	7.529	68.457	0.23%	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	[6.027ms; 6.031ms] or [-0.032%; +0.032%]	None	None	None

Group 7

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	0d78dd1	1744141374	levi/rawtable-migration

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	32.080µs	32.872µs ± 1.043µs	32.241µs ± 0.104µs	34.067µs	34.869µs	35.119µs	35.421µs	9.86%	1.010	-0.742	3.17%	0.074µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
redis/obfuscate_redis_string	execution_time	[32.727µs; 33.016µs] or [-0.440%; +0.440%]	None	None	None

Group 8

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	0d78dd1	1744141374	levi/rawtable-migration

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	208.646µs	209.061µs ± 0.160µs	209.067µs ± 0.107µs	209.169µs	209.319µs	209.410µs	209.413µs	0.17%	-0.185	-0.184	0.08%	0.011µs	1	200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	4775254.631op/s	4783297.742op/s ± 3650.646op/s	4783154.050op/s ± 2457.212op/s	4785717.823op/s	4789420.458op/s	4791997.123op/s	4792801.851op/s	0.20%	0.189	-0.182	0.08%	258.140op/s	1	200
normalization/normalize_name/normalize_name/bad-name	execution_time	18.599µs	18.654µs ± 0.031µs	18.650µs ± 0.024µs	18.677µs	18.713µs	18.727µs	18.758µs	0.58%	0.459	-0.050	0.17%	0.002µs	1	200
normalization/normalize_name/normalize_name/bad-name	throughput	53311093.270op/s	53607386.393op/s ± 89791.536op/s	53619144.579op/s ± 68304.068op/s	53674667.861op/s	53742602.991op/s	53756058.835op/s	53765155.623op/s	0.27%	-0.450	-0.066	0.17%	6349.220op/s	1	200
normalization/normalize_name/normalize_name/good	execution_time	10.837µs	10.900µs ± 0.029µs	10.896µs ± 0.017µs	10.917µs	10.947µs	10.985µs	10.992µs	0.88%	0.629	0.811	0.26%	0.002µs	1	200
normalization/normalize_name/normalize_name/good	throughput	90978692.790op/s	91747905.260op/s ± 241231.064op/s	91779423.023op/s ± 143654.039op/s	91905185.665op/s	92137617.193op/s	92245188.942op/s	92276394.775op/s	0.54%	-0.610	0.779	0.26%	17057.612op/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	[209.039µs; 209.083µs] or [-0.011%; +0.011%]	None	None	None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	[4782791.798op/s; 4783803.687op/s] or [-0.011%; +0.011%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	execution_time	[18.650µs; 18.659µs] or [-0.023%; +0.023%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	throughput	[53594942.149op/s; 53619830.636op/s] or [-0.023%; +0.023%]	None	None	None
normalization/normalize_name/normalize_name/good	execution_time	[10.896µs; 10.903µs] or [-0.036%; +0.036%]	None	None	None
normalization/normalize_name/normalize_name/good	throughput	[91714472.955op/s; 91781337.566op/s] or [-0.036%; +0.036%]	None	None	None

Group 9

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	0d78dd1	1744141374	levi/rawtable-migration

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	504.121µs	505.174µs ± 0.393µs	505.186µs ± 0.227µs	505.395µs	505.732µs	506.286µs	506.688µs	0.30%	0.354	1.505	0.08%	0.028µs	1	200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	1973602.843op/s	1979515.757op/s ± 1541.160op/s	1979469.057op/s ± 887.640op/s	1980420.354op/s	1981977.471op/s	1983329.177op/s	1983649.220op/s	0.21%	-0.346	1.493	0.08%	108.976op/s	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	453.615µs	455.018µs ± 0.563µs	455.041µs ± 0.434µs	455.447µs	455.984µs	456.219µs	456.311µs	0.28%	0.013	-0.558	0.12%	0.040µs	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	2191488.834op/s	2197718.037op/s ± 2720.284op/s	2197605.064op/s ± 2092.345op/s	2199884.709op/s	2201594.212op/s	2203514.378op/s	2204513.916op/s	0.31%	-0.007	-0.557	0.12%	192.353op/s	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	177.269µs	177.634µs ± 0.122µs	177.632µs ± 0.067µs	177.700µs	177.830µs	177.929µs	177.992µs	0.20%	0.040	0.654	0.07%	0.009µs	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	5618226.953op/s	5629564.857op/s ± 3854.546op/s	5629626.721op/s ± 2137.317op/s	5631657.332op/s	5636041.861op/s	5639232.415op/s	5641145.802op/s	0.20%	-0.035	0.655	0.07%	272.558op/s	1	200
normalization/normalize_service/normalize_service/[empty string]	execution_time	37.869µs	37.964µs ± 0.041µs	37.962µs ± 0.022µs	37.986µs	38.028µs	38.091µs	38.152µs	0.50%	0.799	2.785	0.11%	0.003µs	1	200
normalization/normalize_service/normalize_service/[empty string]	throughput	26210802.079op/s	26340828.526op/s ± 28205.895op/s	26342462.883op/s ± 15429.817op/s	26356480.180op/s	26387379.462op/s	26399694.792op/s	26406835.342op/s	0.24%	-0.785	2.742	0.11%	1994.458op/s	1	200
normalization/normalize_service/normalize_service/test_ASCII	execution_time	48.163µs	48.314µs ± 0.114µs	48.306µs ± 0.029µs	48.337µs	48.371µs	48.465µs	49.780µs	3.05%	10.633	134.223	0.24%	0.008µs	1	200
normalization/normalize_service/normalize_service/test_ASCII	throughput	20088246.755op/s	20698184.408op/s ± 47762.584op/s	20701481.469op/s ± 12367.125op/s	20713013.722op/s	20733610.524op/s	20749034.560op/s	20762610.691op/s	0.30%	-10.469	131.445	0.23%	3377.325op/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	[505.120µs; 505.229µs] or [-0.011%; +0.011%]	None	None	None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	[1979302.167op/s; 1979729.347op/s] or [-0.011%; +0.011%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	[454.940µs; 455.096µs] or [-0.017%; +0.017%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	[2197341.032op/s; 2198095.043op/s] or [-0.017%; +0.017%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	[177.617µs; 177.651µs] or [-0.009%; +0.009%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	[5629030.654op/s; 5630099.060op/s] or [-0.009%; +0.009%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	execution_time	[37.958µs; 37.970µs] or [-0.015%; +0.015%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	throughput	[26336919.460op/s; 26344737.591op/s] or [-0.015%; +0.015%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	execution_time	[48.298µs; 48.330µs] or [-0.033%; +0.033%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	throughput	[20691564.973op/s; 20704803.843op/s] or [-0.032%; +0.032%]	None	None	None

Group 10

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	0d78dd1	1744141374	levi/rawtable-migration

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	243.657ns	254.460ns ± 13.019ns	247.822ns ± 3.344ns	259.806ns	283.043ns	291.958ns	304.033ns	22.68%	1.594	1.887	5.10%	0.921ns	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	[252.656ns; 256.264ns] or [-0.709%; +0.709%]	None	None	None

Group 11

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	0d78dd1	1744141374	levi/rawtable-migration

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	4.921µs	4.992µs ± 0.054µs	5.000µs ± 0.053µs	5.021µs	5.097µs	5.099µs	5.104µs	2.10%	0.375	-1.001	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	[4.985µs; 5.000µs] or [-0.151%; +0.151%]	None	None	None

Group 12

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	0d78dd1	1744141374	levi/rawtable-migration

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	17.751µs	25.928µs ± 10.579µs	18.095µs ± 0.183µs	34.408µs	44.452µs	47.392µs	85.561µs	372.83%	1.534	4.297	40.70%	0.748µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
two way interface	execution_time	[24.462µs; 27.394µs] or [-5.655%; +5.655%]	None	None	None

Group 13

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	0d78dd1	1744141374	levi/rawtable-migration

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	146.258µs	147.122µs ± 0.266µs	147.089µs ± 0.132µs	147.218µs	147.724µs	147.966µs	148.242µs	0.78%	1.092	2.945	0.18%	0.019µs	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	[147.086µs; 147.159µs] or [-0.025%; +0.025%]	None	None	None

Baseline

Omitted due to size.

[paullegranddc]

LGTM other than a nit

[codecov-commenter]

Codecov Report

Attention: Patch coverage is 64.28571% with 5 lines in your changes missing coverage. Please review.

Project coverage is 71.56%. Comparing base (b14e541) to head (0d78dd1).

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #1009      +/-   ##
==========================================
+ Coverage   71.47%   71.56%   +0.09%     
==========================================
  Files         337      337              
  Lines       50509    50511       +2     
==========================================
+ Hits        36099    36150      +51     
+ Misses      14410    14361      -49     

Components	Coverage Δ
crashtracker	42.69% <ø> (ø)
crashtracker-ffi	6.30% <ø> (ø)
datadog-alloc	98.73% <ø> (ø)
data-pipeline	90.93% <ø> (+0.18%)	⬆️
data-pipeline-ffi	90.35% <ø> (ø)
ddcommon	79.95% <ø> (ø)
ddcommon-ffi	66.37% <ø> (ø)
ddtelemetry	60.29% <64.28%> (+0.01%)	⬆️
ddtelemetry-ffi	21.43% <ø> (ø)
dogstatsd-client	82.57% <ø> (ø)
ipc	82.52% <ø> (ø)
profiling	77.57% <ø> (-0.02%)	⬇️
profiling-ffi	62.28% <ø> (ø)
serverless	0.00% <ø> (ø)
sidecar	41.65% <ø> (+0.69%)	⬆️
sidecar-ffi	6.02% <ø> (+5.44%)	⬆️
spawn-worker	54.37% <ø> (ø)
tinybytes	91.59% <ø> (ø)
trace-mini-agent	73.82% <ø> (ø)
trace-normalization	98.24% <ø> (ø)
trace-obfuscation	96.00% <ø> (ø)
trace-protobuf	78.50% <ø> (ø)
trace-utils	92.88% <ø> (-0.18%)	⬇️

🚀 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	7.78 MB	7.78 MB	--.03% (-3.10 KB) 💪
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so.debug	23.99 MB	23.99 MB	--.02% (-7.09 KB) 💪
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a	77.63 MB	77.61 MB	--.03% (-25.68 KB) 💪

aarch64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so	7.71 MB	7.71 MB	-0% (-448 B) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so.debug	22.56 MB	22.58 MB	+.09% (+21.64 KB) 🔍
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a	71.86 MB	71.92 MB	+.08% (+61.40 KB) 🔍

libdatadog-x64-windows

Artifact	Baseline	Commit	Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll	16.85 MB	16.89 MB	+.21% (+37.00 KB) 🔍
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib	61.83 KB	61.83 KB	0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb	113.04 MB	113.04 MB	0% (0 B) 👌
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib	630.61 MB	631.14 MB	+.08% (+542.54 KB) 🔍
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll	5.04 MB	5.05 MB	+.07% (+4.00 KB) 🔍
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib	61.83 KB	61.83 KB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb	16.06 MB	16.05 MB	--.04% (-8.00 KB) 💪
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib	26.71 MB	26.71 MB	-0% (-1.30 KB) 👌

libdatadog-x86-windows

Artifact	Baseline	Commit	Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll	14.25 MB	14.29 MB	+.29% (+42.50 KB) 🔍
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib	62.78 KB	62.78 KB	0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb	115.01 MB	115.04 MB	+.02% (+24.00 KB) 🔍
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib	622.55 MB	623.12 MB	+.09% (+581.27 KB) 🔍
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll	3.81 MB	3.82 MB	+.14% (+5.50 KB) 🔍
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib	62.78 KB	62.78 KB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb	16.68 MB	16.68 MB	0% (0 B) 👌
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib	24.61 MB	24.61 MB	+.01% (+4.83 KB) 🔍

x86_64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a	66.92 MB	66.88 MB	--.06% (-44.27 KB) 💪
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so	8.25 MB	8.24 MB	--.06% (-5.45 KB) 💪
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so.debug	23.15 MB	23.13 MB	--.06% (-15.46 KB) 💪

x86_64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a	67.84 MB	67.82 MB	--.02% (-17.51 KB) 💪
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so	8.13 MB	8.12 MB	--.12% (-10.71 KB) 💪
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so.debug	20.77 MB	20.77 MB	--.02% (-4.64 KB) 💪

[morrisonlevi]

I'm going to force merge this. The failing job is getting stuck uploading to GHA (for hours):

#77 exporting to GitHub Actions Cache
#77 preparing build cache for export

I've seen this in other PRs, so not going to block here.