profiling!: use zstd instead of lz4 for compression #1065

morrisonlevi · 2025-05-19T21:58:59Z

What does this PR do?

Converts from lz4 compression to zstd for file uploads in the profiler.

Breaking Change

This is a breaking change in the sense that tooling and tests may have previously assumed that the compression is lz4. Using an lz4 decompressor on zstd input will obviously fail.

There are some Rust-level changes such as InternalProfile::new -> try_new but only PHP will really be affected by this.

Motivation

tl;dr Generally faster while creating smaller files.

zstd may have a better tradeoff for performance to compressed size.

Here are some benchmarks on compressors for a CPU profile which I cannot share publicly yet. We're working on anonymizing it so we can commit these to the repository. Throughput is in MiB/s. Utility is the compression ratio multiplied by throughput. This is on an Apple M1 Max.

Algo.      Size     Ratio    Throughput     Utility
None    2363410     1.000     11,746.     11,746.
lz4     1215720     1.944        459.23      892.74
zstd-1   778653     3.035        518.39    1,573.31
zstd-2   745217     3.171        350.07    1,110.07
zstd-3   698466     3.384        277.35      938.55
zstd-4   694724     3.402        270.86      921.47

I tested zstd-5 and zstd-6 informally, and compression rations were incrementally better, but you lose throughput steadily. Sticking to something in the level 1-4 range seems better.

And here's from another, also not public set of data:

Algo.      Size     Ratio    Throughput     Utility
None    5804495     1.0000    11.901.     11,901.
lz4     1467466     3.9554       760.52    3,008.1
zstd-1   746324     7.7774       728.48    5,665.6
zstd-2   727673     7.9768       639.62    5,102.1
zstd-3   696252     8.3368       585.82    4,883.9
zstd-4   696241     8.3369       569.99    4,751.9

My personal opinion is that zstd-1 is a safe upgrade. The performance is roughly similar to lz4, but the compression is much better.. Moving to a higher level is something that could be discussed.

Additional Notes

Currently lacks tests, pushed to see if this will cause build issues or significant artifact size bloat.

How to test the change?

As noted in Breaking Change, this adjusts the outputs to be zstd compressed instead of lz4 compressed. Tests which work on compressed files need updated.

r1viollet · 2025-05-19T22:00:21Z

Artifact Size Benchmark Report

aarch64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so	7.25 MB	7.50 MB	+3.44% (+256.00 KB) ⚠️
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a	71.36 MB	82.73 MB	+15.93% (+11.36 MB) 🚨

aarch64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so	9.20 MB	9.54 MB	+3.70% (+349.22 KB) ⚠️
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a	83.71 MB	95.91 MB	+14.57% (+12.20 MB) 🚨

libdatadog-x64-windows

Artifact	Baseline	Commit	Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll	18.61 MB	19.00 MB	+2.05% (+391.50 KB) ⚠️
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib	65.77 KB	65.77 KB	0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb	131.06 MB	131.59 MB	+.40% (+544.00 KB) 🔍
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib	692.07 MB	692.97 MB	+.13% (+926.94 KB) 🔍
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll	5.93 MB	6.31 MB	+6.39% (+389.00 KB) 🚨
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib	65.77 KB	65.77 KB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb	17.51 MB	19.01 MB	+8.51% (+1.49 MB) 🚨
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib	32.46 MB	36.80 MB	+13.35% (+4.33 MB) 🚨

libdatadog-x86-windows

Artifact	Baseline	Commit	Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll	15.85 MB	16.09 MB	+1.53% (+248.50 KB) ⚠️
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib	66.79 KB	66.79 KB	0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb	133.16 MB	133.71 MB	+.41% (+568.00 KB) 🔍
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib	680.69 MB	681.01 MB	+.04% (+320.63 KB) 🔍
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll	4.54 MB	4.85 MB	+6.70% (+312.50 KB) 🚨
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib	66.79 KB	66.79 KB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb	18.66 MB	20.18 MB	+8.16% (+1.52 MB) 🚨
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib	30.52 MB	34.56 MB	+13.24% (+4.04 MB) 🚨

x86_64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a	63.98 MB	71.71 MB	+12.07% (+7.72 MB) 🚨
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so	8.56 MB	8.91 MB	+4.01% (+352.00 KB) ⚠️

x86_64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a	78.42 MB	90.69 MB	+15.63% (+12.26 MB) 🚨
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so	9.91 MB	10.25 MB	+3.43% (+348.65 KB) ⚠️

pr-commenter · 2025-05-19T22:08:48Z

Benchmarks

Comparison

Benchmark execution time: 2025-10-30 15:25:05

Comparing candidate commit 08985b3 in PR branch PROF-11832-Add-zstd-to-compression-configuration-to-libdatadog with baseline commit 853e167 in branch main.

Found 0 performance improvements and 0 performance regressions! Performance is the same for 55 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	`08985b3`	1761836837	PROF-11832-Add-zstd-to-compression-configuration-to-libdatadog

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	4.968µs	5.045µs ± 0.065µs	5.007µs ± 0.033µs	5.109µs	5.154µs	5.160µs	5.162µs	3.09%	0.491	-1.347	1.28%	0.005µs	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	[5.036µs; 5.054µs] or [-0.178%; +0.178%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`08985b3`	1761836837	PROF-11832-Add-zstd-to-compression-configuration-to-libdatadog

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	59.906ms	60.372ms ± 1.927ms	60.117ms ± 0.074ms	60.191ms	60.488ms	73.652ms	79.431ms	32.13%	8.266	69.013	3.18%	0.136ms	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	[60.105ms; 60.639ms] or [-0.442%; +0.442%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`08985b3`	1761836837	PROF-11832-Add-zstd-to-compression-configuration-to-libdatadog

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	171.440ns	176.325ns ± 3.676ns	175.547ns ± 2.239ns	178.128ns	183.370ns	187.750ns	191.422ns	9.04%	1.314	2.026	2.08%	0.260ns	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	[175.815ns; 176.834ns] or [-0.289%; +0.289%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`08985b3`	1761836837	PROF-11832-Add-zstd-to-compression-configuration-to-libdatadog

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	159.622µs	160.396µs ± 0.305µs	160.339µs ± 0.149µs	160.512µs	160.883µs	161.426µs	161.774µs	0.89%	1.439	4.173	0.19%	0.022µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
benching string interning on wordpress profile	execution_time	[160.354µs; 160.439µs] or [-0.026%; +0.026%]	None	None	None

Group 5

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`08985b3`	1761836837	PROF-11832-Add-zstd-to-compression-configuration-to-libdatadog

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	1.207µs	3.212µs ± 1.435µs	3.009µs ± 0.027µs	3.034µs	3.664µs	13.856µs	14.900µs	395.23%	7.399	55.737	44.55%	0.101µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
write only interface	execution_time	[3.013µs; 3.411µs] or [-6.190%; +6.190%]	None	None	None

Group 6

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`08985b3`	1761836837	PROF-11832-Add-zstd-to-compression-configuration-to-libdatadog

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	33.635µs	34.235µs ± 0.984µs	33.795µs ± 0.070µs	33.921µs	36.274µs	36.328µs	38.652µs	14.37%	1.856	2.160	2.87%	0.070µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
redis/obfuscate_redis_string	execution_time	[34.098µs; 34.371µs] or [-0.398%; +0.398%]	None	None	None

Group 7

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`08985b3`	1761836837	PROF-11832-Add-zstd-to-compression-configuration-to-libdatadog

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	17.573µs	25.110µs ± 9.853µs	17.767µs ± 0.140µs	34.183µs	43.617µs	53.143µs	72.008µs	305.29%	1.189	1.486	39.14%	0.697µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
two way interface	execution_time	[23.745µs; 26.476µs] or [-5.438%; +5.438%]	None	None	None

Group 8

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`08985b3`	1761836837	PROF-11832-Add-zstd-to-compression-configuration-to-libdatadog

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	14.192ms	14.234ms ± 0.032ms	14.229ms ± 0.010ms	14.239ms	14.279ms	14.358ms	14.447ms	1.54%	3.475	15.727	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	[14.230ms; 14.239ms] or [-0.031%; +0.031%]	None	None	None

Group 9

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`08985b3`	1761836837	PROF-11832-Add-zstd-to-compression-configuration-to-libdatadog

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	6.231ms	6.404ms ± 0.040ms	6.410ms ± 0.014ms	6.424ms	6.445ms	6.459ms	6.533ms	1.92%	-1.984	5.957	0.63%	0.003ms	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	[6.398ms; 6.409ms] or [-0.087%; +0.087%]	None	None	None

Group 10

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`08985b3`	1761836837	PROF-11832-Add-zstd-to-compression-configuration-to-libdatadog

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	10.665ms	10.703ms ± 0.016ms	10.701ms ± 0.009ms	10.710ms	10.730ms	10.748ms	10.812ms	1.04%	1.821	9.225	0.15%	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	[10.701ms; 10.705ms] or [-0.021%; +0.021%]	None	None	None

Group 11

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`08985b3`	1761836837	PROF-11832-Add-zstd-to-compression-configuration-to-libdatadog

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	2.342µs	2.407µs ± 0.018µs	2.407µs ± 0.007µs	2.417µs	2.439µs	2.447µs	2.461µs	2.27%	-0.824	2.748	0.74%	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	[2.405µs; 2.410µs] or [-0.103%; +0.103%]	None	None	None

Group 12

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`08985b3`	1761836837	PROF-11832-Add-zstd-to-compression-configuration-to-libdatadog

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	242.244ns	253.136ns ± 13.854ns	246.480ns ± 2.918ns	253.810ns	283.613ns	293.676ns	297.264ns	20.60%	1.604	1.402	5.46%	0.980ns	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	[251.216ns; 255.056ns] or [-0.758%; +0.758%]	None	None	None

Group 13

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`08985b3`	1761836837	PROF-11832-Add-zstd-to-compression-configuration-to-libdatadog

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	185.593µs	186.078µs ± 0.237µs	186.049µs ± 0.135µs	186.176µs	186.541µs	186.843µs	187.133µs	0.58%	1.332	2.742	0.13%	0.017µs	1	200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	5343793.631op/s	5374109.927op/s ± 6845.317op/s	5374920.167op/s ± 3902.305op/s	5378925.283op/s	5382475.587op/s	5384769.499op/s	5388148.767op/s	0.25%	-1.320	2.697	0.13%	484.037op/s	1	200
normalization/normalize_name/normalize_name/bad-name	execution_time	17.804µs	17.911µs ± 0.038µs	17.910µs ± 0.024µs	17.934µs	17.977µs	18.014µs	18.025µs	0.64%	0.234	0.567	0.21%	0.003µs	1	200
normalization/normalize_name/normalize_name/bad-name	throughput	55477467.524op/s	55831242.004op/s ± 118420.037op/s	55834991.180op/s ± 75125.960op/s	55907364.800op/s	56010594.571op/s	56111504.063op/s	56167498.087op/s	0.60%	-0.218	0.558	0.21%	8373.561op/s	1	200
normalization/normalize_name/normalize_name/good	execution_time	10.507µs	10.565µs ± 0.028µs	10.572µs ± 0.018µs	10.587µs	10.602µs	10.615µs	10.675µs	0.98%	-0.049	-0.211	0.27%	0.002µs	1	200
normalization/normalize_name/normalize_name/good	throughput	93672759.890op/s	94651219.484op/s ± 255324.248op/s	94591515.174op/s ± 165462.722op/s	94828915.167op/s	95034494.464op/s	95045422.532op/s	95170871.369op/s	0.61%	0.063	-0.249	0.27%	18054.151op/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	[186.045µs; 186.111µs] or [-0.018%; +0.018%]	None	None	None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	[5373161.232op/s; 5375058.622op/s] or [-0.018%; +0.018%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	execution_time	[17.906µs; 17.916µs] or [-0.029%; +0.029%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	throughput	[55814830.125op/s; 55847653.882op/s] or [-0.029%; +0.029%]	None	None	None
normalization/normalize_name/normalize_name/good	execution_time	[10.561µs; 10.569µs] or [-0.037%; +0.037%]	None	None	None
normalization/normalize_name/normalize_name/good	throughput	[94615833.999op/s; 94686604.969op/s] or [-0.037%; +0.037%]	None	None	None

Group 14

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`08985b3`	1761836837	PROF-11832-Add-zstd-to-compression-configuration-to-libdatadog

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	121.584µs	122.841µs ± 1.240µs	122.644µs ± 0.380µs	123.087µs	123.976µs	126.996µs	135.005µs	10.08%	5.885	49.051	1.01%	0.088µs	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	[122.669µs; 123.013µs] or [-0.140%; +0.140%]	None	None	None

Group 15

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`08985b3`	1761836837	PROF-11832-Add-zstd-to-compression-configuration-to-libdatadog

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	3.898µs	3.916µs ± 0.003µs	3.916µs ± 0.002µs	3.917µs	3.920µs	3.921µs	3.921µs	0.13%	-1.266	7.727	0.07%	0.000µs	1	200
credit_card/is_card_number/	throughput	255044722.701op/s	255391074.622op/s ± 176088.433op/s	255381804.051op/s ± 118922.918op/s	255510533.866op/s	255643520.922op/s	255704396.171op/s	256547253.664op/s	0.46%	1.283	7.853	0.07%	12451.333op/s	1	200
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	77.912µs	78.753µs ± 0.684µs	78.560µs ± 0.440µs	79.181µs	80.080µs	80.949µs	81.011µs	3.12%	1.018	0.591	0.87%	0.048µs	1	200
credit_card/is_card_number/ 3782-8224-6310-005	throughput	12344028.856op/s	12698873.297op/s ± 109407.928op/s	12729100.819op/s ± 71367.652op/s	12783249.150op/s	12822345.309op/s	12832718.994op/s	12835001.048op/s	0.83%	-0.979	0.468	0.86%	7736.309op/s	1	200
credit_card/is_card_number/ 378282246310005	execution_time	71.438µs	71.866µs ± 0.294µs	71.830µs ± 0.227µs	72.054µs	72.372µs	72.708µs	72.909µs	1.50%	0.735	0.329	0.41%	0.021µs	1	200
credit_card/is_card_number/ 378282246310005	throughput	13715742.606op/s	13914940.516op/s ± 56771.024op/s	13921688.415op/s ± 43986.224op/s	13965920.388op/s	13987960.842op/s	13996497.084op/s	13998216.627op/s	0.55%	-0.714	0.269	0.41%	4014.318op/s	1	200
credit_card/is_card_number/37828224631	execution_time	3.894µs	3.916µs ± 0.003µs	3.916µs ± 0.002µs	3.918µs	3.921µs	3.922µs	3.924µs	0.21%	-1.342	8.069	0.08%	0.000µs	1	200
credit_card/is_card_number/37828224631	throughput	254856137.004op/s	255385380.776op/s ± 216261.981op/s	255384357.708op/s ± 148110.323op/s	255519321.156op/s	255679877.421op/s	255746667.679op/s	256822669.176op/s	0.56%	1.363	8.231	0.08%	15292.031op/s	1	200
credit_card/is_card_number/378282246310005	execution_time	68.253µs	68.740µs ± 0.286µs	68.706µs ± 0.172µs	68.882µs	69.218µs	69.797µs	69.904µs	1.74%	1.160	2.256	0.41%	0.020µs	1	200
credit_card/is_card_number/378282246310005	throughput	14305368.070op/s	14547797.058op/s ± 60223.727op/s	14554705.770op/s ± 36547.504op/s	14591217.182op/s	14631013.814op/s	14643379.867op/s	14651289.770op/s	0.66%	-1.124	2.113	0.41%	4258.461op/s	1	200
credit_card/is_card_number/37828224631000521389798	execution_time	45.445µs	45.728µs ± 0.110µs	45.739µs ± 0.074µs	45.807µs	45.893µs	45.937µs	45.965µs	0.49%	-0.400	-0.347	0.24%	0.008µs	1	200
credit_card/is_card_number/37828224631000521389798	throughput	21755508.614op/s	21868609.586op/s ± 52459.210op/s	21863071.103op/s ± 35520.626op/s	21904771.969op/s	21965713.405op/s	22002542.210op/s	22004634.236op/s	0.65%	0.411	-0.337	0.24%	3709.426op/s	1	200
credit_card/is_card_number/x371413321323331	execution_time	6.564µs	6.624µs ± 0.015µs	6.627µs ± 0.010µs	6.636µs	6.642µs	6.646µs	6.648µs	0.31%	-1.190	1.589	0.23%	0.001µs	1	200
credit_card/is_card_number/x371413321323331	throughput	150422002.362op/s	150963544.609op/s ± 353224.551op/s	150888724.114op/s ± 219766.358op/s	151153697.894op/s	151657648.235op/s	152118844.831op/s	152349139.086op/s	0.97%	1.206	1.644	0.23%	24976.748op/s	1	200
credit_card/is_card_number_no_luhn/	execution_time	3.894µs	3.915µs ± 0.003µs	3.915µs ± 0.002µs	3.916µs	3.919µs	3.922µs	3.923µs	0.20%	-1.369	11.794	0.08%	0.000µs	1	200
credit_card/is_card_number_no_luhn/	throughput	254920667.292op/s	255432347.498op/s ± 192918.645op/s	255439167.165op/s ± 116325.083op/s	255559564.562op/s	255663563.321op/s	255724206.468op/s	256812930.426op/s	0.54%	1.396	12.003	0.08%	13641.408op/s	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	65.580µs	65.757µs ± 0.062µs	65.756µs ± 0.040µs	65.795µs	65.859µs	65.898µs	65.916µs	0.24%	-0.001	0.041	0.09%	0.004µs	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	15170724.191op/s	15207551.444op/s ± 14273.138op/s	15207626.595op/s ± 9275.778op/s	15216894.074op/s	15227967.754op/s	15241771.451op/s	15248475.402op/s	0.27%	0.007	0.042	0.09%	1009.263op/s	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	53.360µs	53.427µs ± 0.033µs	53.425µs ± 0.021µs	53.446µs	53.485µs	53.523µs	53.525µs	0.19%	0.548	0.484	0.06%	0.002µs	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	18682687.668op/s	18717197.703op/s ± 11458.047op/s	18717653.555op/s ± 7311.764op/s	18724925.221op/s	18733672.217op/s	18738952.970op/s	18740784.742op/s	0.12%	-0.544	0.476	0.06%	810.206op/s	1	200
credit_card/is_card_number_no_luhn/37828224631	execution_time	3.898µs	3.915µs ± 0.003µs	3.915µs ± 0.001µs	3.916µs	3.919µs	3.921µs	3.922µs	0.18%	-0.769	7.636	0.07%	0.000µs	1	200
credit_card/is_card_number_no_luhn/37828224631	throughput	254997960.016op/s	255448348.402op/s ± 167118.072op/s	255458500.777op/s ± 91005.374op/s	255547129.280op/s	255664481.747op/s	255706696.193op/s	256521751.790op/s	0.42%	0.787	7.746	0.07%	11817.032op/s	1	200
credit_card/is_card_number_no_luhn/378282246310005	execution_time	50.148µs	50.215µs ± 0.032µs	50.214µs ± 0.025µs	50.237µs	50.267µs	50.285µs	50.306µs	0.18%	0.241	-0.426	0.06%	0.002µs	1	200
credit_card/is_card_number_no_luhn/378282246310005	throughput	19878348.483op/s	19914383.692op/s ± 12542.287op/s	19914693.419op/s ± 9736.208op/s	19924537.310op/s	19933785.844op/s	19939122.272op/s	19941159.620op/s	0.13%	-0.239	-0.428	0.06%	886.874op/s	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	45.438µs	45.734µs ± 0.095µs	45.743µs ± 0.060µs	45.799µs	45.871µs	45.907µs	45.942µs	0.43%	-0.556	0.192	0.21%	0.007µs	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	21766544.960op/s	21865784.462op/s ± 45438.200op/s	21861070.903op/s ± 28756.449op/s	21892388.576op/s	21948995.589op/s	21991918.551op/s	22007847.255op/s	0.67%	0.568	0.210	0.21%	3212.966op/s	1	200
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	6.594µs	6.634µs ± 0.009µs	6.636µs ± 0.004µs	6.641µs	6.645µs	6.647µs	6.649µs	0.19%	-1.686	3.895	0.14%	0.001µs	1	200
credit_card/is_card_number_no_luhn/x371413321323331	throughput	150402918.355op/s	150730647.930op/s ± 210543.518op/s	150695920.050op/s ± 102071.936op/s	150791042.163op/s	151091747.164op/s	151431639.446op/s	151642167.094op/s	0.63%	1.699	3.951	0.14%	14887.675op/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	[3.915µs; 3.916µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/	throughput	[255366670.459op/s; 255415478.785op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	[78.658µs; 78.848µs] or [-0.120%; +0.120%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	throughput	[12683710.410op/s; 12714036.183op/s] or [-0.119%; +0.119%]	None	None	None
credit_card/is_card_number/ 378282246310005	execution_time	[71.826µs; 71.907µs] or [-0.057%; +0.057%]	None	None	None
credit_card/is_card_number/ 378282246310005	throughput	[13907072.598op/s; 13922808.434op/s] or [-0.057%; +0.057%]	None	None	None
credit_card/is_card_number/37828224631	execution_time	[3.915µs; 3.916µs] or [-0.012%; +0.012%]	None	None	None
credit_card/is_card_number/37828224631	throughput	[255355408.945op/s; 255415352.606op/s] or [-0.012%; +0.012%]	None	None	None
credit_card/is_card_number/378282246310005	execution_time	[68.700µs; 68.780µs] or [-0.058%; +0.058%]	None	None	None
credit_card/is_card_number/378282246310005	throughput	[14539450.629op/s; 14556143.488op/s] or [-0.057%; +0.057%]	None	None	None
credit_card/is_card_number/37828224631000521389798	execution_time	[45.713µs; 45.743µs] or [-0.033%; +0.033%]	None	None	None
credit_card/is_card_number/37828224631000521389798	throughput	[21861339.244op/s; 21875879.928op/s] or [-0.033%; +0.033%]	None	None	None
credit_card/is_card_number/x371413321323331	execution_time	[6.622µs; 6.626µs] or [-0.032%; +0.032%]	None	None	None
credit_card/is_card_number/x371413321323331	throughput	[150914591.083op/s; 151012498.134op/s] or [-0.032%; +0.032%]	None	None	None
credit_card/is_card_number_no_luhn/	execution_time	[3.915µs; 3.915µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/	throughput	[255405610.830op/s; 255459084.167op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	[65.748µs; 65.765µs] or [-0.013%; +0.013%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	[15205573.324op/s; 15209529.564op/s] or [-0.013%; +0.013%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	[53.422µs; 53.431µs] or [-0.008%; +0.008%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	[18715609.728op/s; 18718785.678op/s] or [-0.008%; +0.008%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	execution_time	[3.914µs; 3.915µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	throughput	[255425187.444op/s; 255471509.359op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	execution_time	[50.211µs; 50.219µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	throughput	[19912645.452op/s; 19916121.932op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	[45.721µs; 45.747µs] or [-0.029%; +0.029%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	[21859487.165op/s; 21872081.760op/s] or [-0.029%; +0.029%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	[6.633µs; 6.636µs] or [-0.019%; +0.019%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	throughput	[150701468.624op/s; 150759827.237op/s] or [-0.019%; +0.019%]	None	None	None

Group 16

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`08985b3`	1761836837	PROF-11832-Add-zstd-to-compression-configuration-to-libdatadog

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	496.307µs	496.975µs ± 0.494µs	496.939µs ± 0.215µs	497.141µs	497.481µs	497.998µs	502.244µs	1.07%	6.181	62.907	0.10%	0.035µs	1	200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	1991063.444op/s	2012174.838op/s ± 1988.552op/s	2012318.295op/s ± 870.778op/s	2013196.897op/s	2014233.187op/s	2014719.839op/s	2014883.497op/s	0.13%	-6.102	61.786	0.10%	140.612op/s	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	370.424µs	371.336µs ± 0.362µs	371.312µs ± 0.227µs	371.537µs	372.025µs	372.325µs	372.778µs	0.39%	0.677	1.024	0.10%	0.026µs	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	2682560.488op/s	2692980.905op/s ± 2622.188op/s	2693155.924op/s ± 1647.965op/s	2694887.292op/s	2696489.386op/s	2698007.394op/s	2699607.195op/s	0.24%	-0.670	1.007	0.10%	185.417op/s	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	168.457µs	168.820µs ± 0.144µs	168.814µs ± 0.089µs	168.906µs	169.071µs	169.177µs	169.352µs	0.32%	0.504	0.820	0.09%	0.010µs	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	5904849.529op/s	5923465.046op/s ± 5053.959op/s	5923678.092op/s ± 3107.499op/s	5926642.637op/s	5930957.258op/s	5934502.131op/s	5936241.180op/s	0.21%	-0.498	0.807	0.09%	357.369op/s	1	200
normalization/normalize_service/normalize_service/[empty string]	execution_time	36.161µs	36.447µs ± 0.099µs	36.442µs ± 0.067µs	36.509µs	36.629µs	36.688µs	36.743µs	0.82%	0.333	0.075	0.27%	0.007µs	1	200
normalization/normalize_service/normalize_service/[empty string]	throughput	27216186.010op/s	27436952.863op/s ± 74477.225op/s	27440625.750op/s ± 50509.706op/s	27489826.382op/s	27550188.463op/s	27573035.714op/s	27653922.546op/s	0.78%	-0.317	0.064	0.27%	5266.335op/s	1	200
normalization/normalize_service/normalize_service/test_ASCII	execution_time	46.205µs	46.321µs ± 0.117µs	46.312µs ± 0.045µs	46.357µs	46.418µs	46.480µs	47.757µs	3.12%	9.322	111.810	0.25%	0.008µs	1	200
normalization/normalize_service/normalize_service/test_ASCII	throughput	20939431.299op/s	21588470.998op/s ± 53266.421op/s	21592657.633op/s ± 20916.613op/s	21613722.553op/s	21631638.437op/s	21637678.889op/s	21642752.227op/s	0.23%	-9.119	108.496	0.25%	3766.505op/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	[496.907µs; 497.044µs] or [-0.014%; +0.014%]	None	None	None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	[2011899.244op/s; 2012450.433op/s] or [-0.014%; +0.014%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	[371.286µs; 371.386µs] or [-0.014%; +0.014%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	[2692617.495op/s; 2693344.315op/s] or [-0.013%; +0.013%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	[168.800µs; 168.840µs] or [-0.012%; +0.012%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	[5922764.616op/s; 5924165.476op/s] or [-0.012%; +0.012%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	execution_time	[36.434µs; 36.461µs] or [-0.038%; +0.038%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	throughput	[27426631.036op/s; 27447274.690op/s] or [-0.038%; +0.038%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	execution_time	[46.305µs; 46.338µs] or [-0.035%; +0.035%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	throughput	[21581088.785op/s; 21595853.212op/s] or [-0.034%; +0.034%]	None	None	None

Group 17

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`08985b3`	1761836837	PROF-11832-Add-zstd-to-compression-configuration-to-libdatadog

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	86.226µs	86.494µs ± 0.277µs	86.462µs ± 0.051µs	86.514µs	86.686µs	86.826µs	90.126µs	4.24%	11.380	146.243	0.32%	0.020µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sql/obfuscate_sql_string	execution_time	[86.456µs; 86.532µs] or [-0.044%; +0.044%]	None	None	None

Baseline

Omitted due to size.

codecov-commenter · 2025-05-19T22:12:09Z

Codecov Report

❌ Patch coverage is 68.65672% with 63 lines in your changes missing coverage. Please review.
✅ Project coverage is 72.03%. Comparing base (0cf70d0) to head (a612a1c).

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #1065      +/-   ##
==========================================
- Coverage   72.09%   72.03%   -0.07%     
==========================================
  Files         368      369       +1     
  Lines       58111    58241     +130     
==========================================
+ Hits        41896    41954      +58     
- Misses      16215    16287      +72

Components	Coverage Δ
datadog-crashtracker	`50.67% <ø> (ø)`
datadog-crashtracker-ffi	`5.86% <ø> (ø)`
datadog-alloc	`98.73% <ø> (ø)`
data-pipeline	`88.19% <ø> (ø)`
data-pipeline-ffi	`88.19% <ø> (ø)`
ddcommon	`80.93% <ø> (-0.03%)`	⬇️
ddcommon-ffi	`73.84% <ø> (ø)`
ddtelemetry	`60.02% <ø> (+0.03%)`	⬆️
ddtelemetry-ffi	`21.24% <ø> (ø)`
dogstatsd-client	`83.26% <ø> (ø)`
datadog-ipc	`82.39% <ø> (ø)`
datadog-profiling	`76.50% <68.65%> (-0.40%)`	⬇️
datadog-profiling-ffi	`62.11% <70.00%> (-0.01%)`	⬇️
datadog-sidecar	`37.62% <ø> (ø)`
datdog-sidecar-ffi	`15.88% <ø> (ø)`
spawn-worker	`55.18% <ø> (ø)`
tinybytes	`92.44% <ø> (ø)`
datadog-trace-normalization	`98.24% <ø> (ø)`
datadog-trace-obfuscation	`94.17% <ø> (ø)`
datadog-trace-protobuf	`59.65% <ø> (ø)`
datadog-trace-utils	`90.19% <ø> (ø)`
datadog-tracer-flare	`64.98% <ø> (ø)`
datadog-log	`75.57% <ø> (ø)`

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datadog-profiling/src/serializer/compressed_streaming_encoder.rs

datadog-profiling/src/serializer/mod.rs

datadog-profiling/src/serializer/compressed_streaming_encoder.rs

github-actions · 2025-08-28T00:07:04Z

This pull request has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. To override this behavior, add the keep-open label or update the PR.

datadog-datadog-prod-us1 · 2025-10-10T02:45:57Z

✅ Tests

🎉 All green!

❄️ No new flaky tests detected
🧪 All tests passed

_{This comment will be updated automatically if new data arrives.

🔗 Commit SHA: a612a1c | Docs | Datadog PR Page | Was this helpful? Give us feedback!}

danielsn

Looks good, some questions about details

datadog-profiling/src/internal/observation/observations.rs

datadog-profiling/src/exporter/mod.rs

datadog-profiling/src/internal/observation/timestamped_observations.rs

datadog-profiling/src/internal/profile/mod.rs

datadog-profiling/src/pprof/test_utils.rs

datadog-profiling/src/profiles/compressor.rs

…o-compression-configuration-to-libdatadog

…tion-to-libdatadog

danielsn

LGTM

datadog-profiling/src/internal/observation/observations.rs

…o-compression-configuration-to-libdatadog

…tion-to-libdatadog

morrisonlevi · 2025-10-31T20:08:01Z

/merge

dd-devflow-routing-codex · 2025-10-31T20:08:05Z

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2025-10-31 20:08:05 UTC ℹ️ Start processing command /merge

2025-10-31 20:08:10 UTC ℹ️ MergeQueue: pull request added to the queue

The expected merge time in main is approximately 39m (p90).

2025-10-31 20:41:47 UTC ℹ️ MergeQueue: This merge request was merged

github-actions bot added the profiling Relates to the profiling* modules. label May 19, 2025

morrisonlevi added the enhancement New feature or request label May 19, 2025

morrisonlevi force-pushed the PROF-11832-Add-zstd-to-compression-configuration-to-libdatadog branch from 80c8f07 to 0d6cabc Compare May 19, 2025 22:56

felixge reviewed May 20, 2025

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morrisonlevi force-pushed the PROF-11830-Add-upload-compression-configuration-to-libdatadog branch 2 times, most recently from d301705 to 8fa167e Compare May 25, 2025 19:25

morrisonlevi changed the title ~~feat(profiling): add zstd as a compression option~~ feat(profiling): zstd as a compression option May 25, 2025

morrisonlevi force-pushed the PROF-11832-Add-zstd-to-compression-configuration-to-libdatadog branch 2 times, most recently from 8788621 to 714ecc0 Compare May 27, 2025 16:33

morrisonlevi force-pushed the PROF-11830-Add-upload-compression-configuration-to-libdatadog branch from 5d54a41 to 9cafb27 Compare May 27, 2025 16:42

morrisonlevi force-pushed the PROF-11832-Add-zstd-to-compression-configuration-to-libdatadog branch from 714ecc0 to 5ed02e4 Compare May 27, 2025 16:42

morrisonlevi force-pushed the PROF-11830-Add-upload-compression-configuration-to-libdatadog branch from 9cafb27 to c4c8301 Compare May 28, 2025 21:18

morrisonlevi force-pushed the PROF-11832-Add-zstd-to-compression-configuration-to-libdatadog branch 2 times, most recently from 064a512 to 6f72248 Compare May 28, 2025 21:23

morrisonlevi force-pushed the PROF-11830-Add-upload-compression-configuration-to-libdatadog branch 2 times, most recently from 49d50fa to 9fa834b Compare May 29, 2025 02:32

morrisonlevi force-pushed the PROF-11832-Add-zstd-to-compression-configuration-to-libdatadog branch 2 times, most recently from a13e0dd to b751d09 Compare May 29, 2025 17:49

morrisonlevi force-pushed the PROF-11830-Add-upload-compression-configuration-to-libdatadog branch from 9fa834b to 35933df Compare May 29, 2025 17:49

github-actions bot added the stale Used by actions/stale to identify PRs that have been inactive for 90+ days label Aug 28, 2025

morrisonlevi added the keep-open Overrides actions/stale auto-closing stale PRs label Aug 28, 2025

perf(profiling): use zstd for compression

958b210

morrisonlevi force-pushed the PROF-11832-Add-zstd-to-compression-configuration-to-libdatadog branch from b751d09 to 958b210 Compare September 30, 2025 18:01

morrisonlevi changed the base branch from PROF-11830-Add-upload-compression-configuration-to-libdatadog to main September 30, 2025 20:43

morrisonlevi removed the stale Used by actions/stale to identify PRs that have been inactive for 90+ days label Sep 30, 2025

morrisonlevi changed the title ~~perf(profiling)!: use zstd for compression~~ profiling!: use zstd instead of lz4 for compression Oct 10, 2025

danielsn reviewed Oct 13, 2025

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morrisonlevi added 6 commits October 16, 2025 16:13

refactor: address PR feedback

6237f0e

Merge remote-tracking branch 'origin/main' into PROF-11832-Add-zstd-t…

4c46602

…o-compression-configuration-to-libdatadog

refactor: plumb through more errors

9b9f111

use more descriptive error message

cb9b0ec

docs: add comment as per code review

18c1b40

Merge branch 'main' into PROF-11832-Add-zstd-to-compression-configura…

db3568e

…tion-to-libdatadog

morrisonlevi marked this pull request as ready for review October 18, 2025 15:41

morrisonlevi requested review from a team as code owners October 18, 2025 15:41

morrisonlevi added 2 commits October 18, 2025 18:37

remove more panics

f542a71

update LICENSE-3rdparty

0f08a57

morrisonlevi marked this pull request as draft October 18, 2025 17:11

danielsn approved these changes Oct 20, 2025

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morrisonlevi marked this pull request as ready for review October 30, 2025 15:04

morrisonlevi added 2 commits October 30, 2025 09:05

Merge remote-tracking branch 'origin/main' into PROF-11832-Add-zstd-t…

cc41ffb

…o-compression-configuration-to-libdatadog

remove now-unneeded clippy::expect_used allow

08985b3

ivoanjo mentioned this pull request Oct 30, 2025

Bump version to 23.0.0 #1290

Open

Merge branch 'main' into PROF-11832-Add-zstd-to-compression-configura…

a612a1c

…tion-to-libdatadog

dd-devflow bot added mergequeue-status: queued mergequeue-status: in_progress and removed mergequeue-status: queued labels Oct 31, 2025

dd-mergequeue bot merged commit 42a3612 into main Oct 31, 2025
37 checks passed

dd-mergequeue bot deleted the PROF-11832-Add-zstd-to-compression-configuration-to-libdatadog branch October 31, 2025 20:41

dd-devflow bot added mergequeue-status: done and removed mergequeue-status: in_progress labels Oct 31, 2025

profiling!: use zstd instead of lz4 for compression #1065

profiling!: use zstd instead of lz4 for compression #1065

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