Remove nif

[NelsonVides]

🙂

Name           ips        average  deviation         median         99th %
new         4.04 M        0.25 μs  ±4922.09%        0.21 μs        0.38 μs
old         0.60 M        1.66 μs   ±514.31%        1.63 μs        2.08 μs

Comparison: 
new         4.04 M
old         0.60 M - 6.69x slower +1.41 μs

Memory usage statistics:

Name    Memory usage
new            152 B
old            408 B - 2.68x memory usage +256 B

For the record, it is also faster in OTP26:

Operating System: macOS
CPU Information: Apple M3 Pro
Number of Available Cores: 12
Available memory: 36 GB
Elixir 1.16.3
Erlang 26.2.5
JIT enabled: true

Benchmark suite executing with the following configuration:
warmup: 2 s
time: 5 s
memory time: 5 s
reduction time: 0 ns
parallel: 1
inputs: uuid
Estimated total run time: 24 s

Benchmarking new with input uuid ...
Benchmarking old with input uuid ...    
Calculating statistics...
Formatting results...

##### With input uuid #####
Name           ips        average  deviation         median         99th %
new         3.68 M        0.27 μs  ±5946.21%        0.25 μs        0.38 μs
old         0.53 M        1.90 μs   ±479.67%        1.83 μs        2.42 μs

Comparison: 
new         3.68 M
old         0.53 M - 7.01x slower +1.63 μs

Memory usage statistics:

Name    Memory usage
new            152 B
old            352 B - 2.32x memory usage +200 B

**All measurements for memory usage were the same**

On a RaspberryPi equivalent:

Compiling 1 file (-ex)
Generated benchs app
Operating System: Linux
CPU Information: ARMv8 Processor rev 4 (v81)
Number of Available Cores: 6
Available memory: 3.70 GB
Elixir 1.16.3
Erlang 26.2.5
JIT enabled: true
Benchmark suite executing with the following configuration: warmup: 2 s time: 5 s
memory time: 5 s reduction time: 0 ns parallel: 1 inputs: uuid
Estimated total run time: 24 s
Benchmarking new with input uuid Benchmarking old with input uuid
Calculating statistics...
Formatting results...
##### With input uuid #####
Name           ips        average  deviation         median         99th %
new         654.12 K        1.53 ms  ±983.47%        1.38 ms        2.33 ms
old         134.76 K       17.42 ms   ±311.80%        7.17 ms        8.50 ms

Comparison: 
new         654.12 K
old         134.76 K - 4.85x slower +5.89 ms

Memory usage statistics:

Name    Memory usage
new            152 B
old            360 B - 2.32x memory usage +208 B

[michal-stx]

That's interesting. Is this because of JIT or some other changes in the beam?

[NelsonVides]

That's interesting. Is this because of JIT or some other changes in the beam?

Lots of optimisations in binary matching, as well as type-based optimisations that allow the JIT to generate much better code. This algorithm is so so simple that the cost of calling a NIF makes a difference against the run of the actual NIF too 😄

[codecov-commenter]

Codecov Report

Attention: Patch coverage is 93.33333% with 1 lines in your changes are missing coverage. Please review.

Project coverage is 85.10%. Comparing base (3d70277) to head (80c1dcc).

Files	Patch %	Lines
src/jid.erl	93.33%	1 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##           master      #10      +/-   ##
==========================================
+ Coverage   84.09%   85.10%   +1.01%     
==========================================
  Files           1        1              
  Lines          88       94       +6     
==========================================
+ Hits           74       80       +6     
  Misses         14       14              

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.

[DenysGonchar]

good job

[DenysGonchar]

Let's run tests on amd64 before merging it.

[NelsonVides]

Let's run tests on amd64 before merging it.

Results in a x86 Linux machine are satisfactory:

OTP 26

Operating System: Linux
CPU Information: Intel(R) Core(TM) i9-8950HK CPU @ 2.90GHz
Number of Available Cores: 12
Available memory: 30.97 GB
Elixir 1.16.3
Erlang 26.2.5
JIT enabled: true

Benchmark suite executing with the following configuration:
warmup: 2 s
time: 5 s
memory time: 5 s
reduction time: 0 ns
parallel: 1
inputs: uuid
Estimated total run time: 24 s

Benchmarking new with input uuid ...
Benchmarking old with input uuid ...
Calculating statistics...
Formatting results...

##### With input uuid #####
Name           ips        average  deviation         median         99th %
new         1.62 M        0.62 μs  ±5248.72%        0.51 μs        1.14 μs
old         0.35 M        2.87 μs   ±552.30%        2.60 μs        5.80 μs

Comparison: 
new         1.62 M
old         0.35 M - 4.65x slower +2.25 μs

Memory usage statistics:

Name    Memory usage
new            152 B
old            360 B - 2.37x memory usage +208 B

**All measurements for memory usage were the same**

And OTP 27:

Operating System: Linux
CPU Information: Intel(R) Core(TM) i9-8950HK CPU @ 2.90GHz
Number of Available Cores: 12
Available memory: 30.97 GB
Elixir 1.17.0-rc.0
Erlang 27.0
JIT enabled: true

Benchmark suite executing with the following configuration:
warmup: 2 s
time: 5 s
memory time: 5 s
reduction time: 0 ns
parallel: 1
inputs: uuid
Estimated total run time: 24 s

Benchmarking new with input uuid ...
Benchmarking old with input uuid ...
Calculating statistics...
Formatting results...

##### With input uuid #####
Name           ips        average  deviation         median         99th %
new         1.68 M        0.60 μs  ±4852.13%        0.46 μs        1.85 μs
old         0.34 M        2.95 μs   ±664.60%        2.71 μs        5.34 μs

Comparison: 
new         1.68 M
old         0.34 M - 4.95x slower +2.35 μs

Memory usage statistics:

Name    Memory usage
new            152 B
old            408 B - 2.68x memory usage +256 B

**All measurements for memory usage were the same**