Giter Site home page Giter Site logo

bloomfilter.netcore's Introduction

BloomFilter.NetCore

The Bloom filter is a probabilistic set data structure which is very small. This is achieved by allowing false positives with some probability p. It has an add and contains operation which both are very fast (time complexity O(1)).

There are 2 types of Bloom filters in the Bloom filter library:

  • Regular Bloom filter, a regular in-memory Bloom filter (FilterMemory)
  • Redis Bloom Filter, a Redis-backed Bloom filter which can be concurrently used by different applications (FilterRedis | FilterFreeRedis | FilterCSRedis)

Packages & Status

Package NuGet
BloomFilter.NetCore NuGet package
BloomFilter.Redis.NetCore NuGet package
BloomFilter.CSRedis.NetCore NuGet package
BloomFilter.FreeRedis.NetCore NuGet package
BloomFilter.EasyCaching.NetCore NuGet package

Features

  • Configuration of all parameters: Bit-Array size m, number of hash functions k
  • Automatic configuration given the tolerable false positive rate p and expected elements n
  • Choice among different hash functions: the better (i.e. uniformly distributed) the hash function, the more accurate the Bloom filter but the better the hash function usually the slower it is -> choose from about 10-20 optimized hash functions, e.g. CRC, MD5, SHA, Murmur, LCGs, xxHash etc. or use a custom one
  • Generation of the Bloom filter is always fast
  • Implementation of rejection sampling and chaining of hash values taking into account the avalanche effect (higher hash quality)
  • Concurrency: the Bloom filter can be accessed by many clients simultaneously without multi-user anomalies and performance degradation

Usage

In Memory

    public class Demo
    {
        static IBloomFilter bf = FilterBuilder.Build(10000000, 0.01);

        public void Sample()
        {
            bf.Add("Value");
            Console.WriteLine(bf.Contains("Value"));
        }
    }

Configurations

var services = new ServiceCollection();
services.AddBloomFilter(setupAction =>
{
    setupAction.UseInMemory();
});

var provider = services.BuildServiceProvider();
var bf = provider.GetService<IBloomFilter>();
bf.Add("Value");
Console.WriteLine(bf.Contains("Value"));

Use Redis

    public class Demo
    {
        static IBloomFilter bf = FilterRedisBuilder.Build("localhost", "InstanceName", 5000000, 0.001);

        public void Sample()
        {
            bf.Add("Value");
            Console.WriteLine(bf.Contains("Value"));
        }
    }

StackExchange.Redis

var services = new ServiceCollection();
services.AddBloomFilter(setupAction =>
{
    setupAction.UseRedis(new FilterRedisOptions
    {
        Name = "Redis1",
        RedisKey = "BloomFilter1",
        Endpoints = new[] { "localhost" }.ToList()
    });
});

var provider = services.BuildServiceProvider();
var bf = provider.GetService<IBloomFilter>();
bf.Add("Value");
Console.WriteLine(bf.Contains("Value"));

CSRedisCore

var services = new ServiceCollection();
services.AddBloomFilter(setupAction =>
{
    setupAction.UseCSRedis(new FilterCSRedisOptions
    {
        Name = "Redis1",
        RedisKey = "CSRedis1",
        ConnectionStrings = new[] { "localhost" }.ToList()
    });
});

var provider = services.BuildServiceProvider();
var bf = provider.GetService<IBloomFilter>();
bf.Add("Value");
Console.WriteLine(bf.Contains("Value"));

FreeRedis

var services = new ServiceCollection();
services.AddBloomFilter(setupAction =>
{
    setupAction.UseFreeRedis(new FilterFreeRedisOptions
    {
        Name = "Redis1",
        RedisKey = "FreeRedis1",
        ConnectionStrings = new[] { "localhost" }.ToList()
    });
});

var provider = services.BuildServiceProvider();
var bf = provider.GetService<IBloomFilter>();
bf.Add("Value");
Console.WriteLine(bf.Contains("Value"));

EasyCaching

var services = new ServiceCollection();

services.AddEasyCaching(setupAction =>
{
    setupAction.UseCSRedis(configure =>
    {
        configure.DBConfig = new CSRedisDBOptions
        {
            ConnectionStrings = new System.Collections.Generic.List<string>
            {
                "127.0.0.1,defaultDatabase=0,poolsize=10"
            }
        };
    }, "BloomFilter1");

    setupAction.UseCSRedis(configure =>
    {
        configure.DBConfig = new CSRedisDBOptions
        {
            ConnectionStrings = new System.Collections.Generic.List<string>
            {
                "127.0.0.1,defaultDatabase=1,poolsize=10"
            }
        };
    }, "BloomFilter2");
});

services.AddBloomFilter(setupAction =>
{
    setupAction.UseEasyCachingRedis(new FilterEasyCachingRedisOptions
    {
        Name = "BF1",
        RedisKey = "EasyCaching1",
        ProviderName = "BloomFilter1"
    });

    //BloomFilter2
    setupAction.UseEasyCachingRedis(new FilterEasyCachingRedisOptions
    {
        Name = "BF2",
        RedisKey = "EasyCaching1"
    });
});

var provider = services.BuildServiceProvider();
var factory = provider.GetService<IBloomFilterFactory>();
var bf = provider.GetService<IBloomFilter>();
var bf1 = factory.Get("BF1");
bf.Add("Value");
Console.WriteLine(bf.Contains("Value"));
bf1.Add("Value");
Console.WriteLine(bf1.Contains("Value"));

Benchmark

BenchmarkDotNet=v0.13.5, OS=Windows 11 (10.0.22621.1778/22H2/2022Update/SunValley2)
AMD Ryzen 7 5800X, 1 CPU, 16 logical and 8 physical cores
.NET SDK=7.0.304
  [Host]     : .NET 7.0.7 (7.0.723.27404), X64 RyuJIT AVX2
  DefaultJob : .NET 7.0.7 (7.0.723.27404), X64 RyuJIT AVX2
Method DataSize Method Mean Error StdDev Median Min Max Rank Gen0 Allocated
Add 64 LCGWithFNV1 91.27 ns 1.792 ns 2.134 ns 90.38 ns 88.40 ns 96.90 ns 11 0.0048 80 B
Add 64 LCGWithFNV1a 90.88 ns 0.638 ns 0.498 ns 90.91 ns 89.75 ns 91.60 ns 11 0.0048 80 B
Add 64 LCGModifiedFNV1 91.80 ns 1.009 ns 0.895 ns 91.50 ns 90.96 ns 93.72 ns 11 0.0048 80 B
Add 64 RNGWithFNV1 445.32 ns 8.463 ns 9.747 ns 443.96 ns 433.96 ns 471.98 ns 18 0.0229 384 B
Add 64 RNGWithFNV1a 494.80 ns 7.796 ns 6.911 ns 494.26 ns 487.26 ns 508.36 ns 21 0.0229 384 B
Add 64 RNGModifiedFNV1 461.74 ns 4.737 ns 4.199 ns 461.52 ns 455.88 ns 471.08 ns 19 0.0229 384 B
Add 64 CRC32 145.63 ns 1.528 ns 1.429 ns 145.35 ns 143.68 ns 148.68 ns 13 0.0196 328 B
Add 64 CRC64 38.83 ns 0.399 ns 0.333 ns 38.93 ns 38.32 ns 39.38 ns 3 0.0048 80 B
Add 64 Adler32 150.07 ns 0.664 ns 0.589 ns 150.24 ns 148.82 ns 150.83 ns 14 0.0200 336 B
Add 64 Murmur3 70.98 ns 1.108 ns 1.036 ns 70.43 ns 69.88 ns 73.06 ns 6 0.0048 80 B
Add 64 Murmur32BitsX86 71.19 ns 0.727 ns 0.607 ns 71.02 ns 70.33 ns 72.40 ns 6 0.0048 80 B
Add 64 Murmur128BitsX64 80.15 ns 0.783 ns 0.653 ns 80.26 ns 78.99 ns 81.30 ns 8 0.0072 120 B
Add 64 Murmur128BitsX86 82.73 ns 1.211 ns 1.011 ns 82.80 ns 81.47 ns 84.73 ns 9 0.0072 120 B
Add 64 SHA1 1,045.67 ns 6.411 ns 5.997 ns 1,044.74 ns 1,037.64 ns 1,057.40 ns 25 0.0267 464 B
Add 64 SHA256 922.30 ns 4.478 ns 3.739 ns 920.17 ns 917.46 ns 929.13 ns 24 0.0296 496 B
Add 64 SHA384 1,173.67 ns 5.050 ns 3.942 ns 1,172.66 ns 1,168.47 ns 1,181.55 ns 26 0.0267 456 B
Add 64 SHA512 1,368.20 ns 10.967 ns 9.722 ns 1,366.36 ns 1,354.64 ns 1,388.86 ns 28 0.0286 504 B
Add 64 XXHash32 73.15 ns 0.526 ns 0.466 ns 73.22 ns 72.43 ns 74.02 ns 7 0.0048 80 B
Add 64 XXHash64 50.62 ns 0.756 ns 0.670 ns 50.36 ns 49.88 ns 51.99 ns 4 0.0048 80 B
Add 64 XXHash3 33.14 ns 0.295 ns 0.276 ns 33.09 ns 32.75 ns 33.78 ns 1 0.0048 80 B
Add 64 XXHash128 36.01 ns 0.673 ns 0.749 ns 36.00 ns 34.62 ns 37.40 ns 2 0.0048 80 B
Add 1024 LCGWithFNV1 899.25 ns 1.286 ns 1.140 ns 899.00 ns 897.38 ns 901.74 ns 23 0.0048 80 B
Add 1024 LCGWithFNV1a 900.59 ns 3.196 ns 2.990 ns 899.46 ns 897.27 ns 906.06 ns 23 0.0048 80 B
Add 1024 LCGModifiedFNV1 898.96 ns 1.230 ns 1.090 ns 898.95 ns 896.35 ns 900.95 ns 23 0.0048 80 B
Add 1024 RNGWithFNV1 1,258.57 ns 2.607 ns 2.311 ns 1,257.83 ns 1,255.55 ns 1,263.52 ns 27 0.0229 384 B
Add 1024 RNGWithFNV1a 1,262.25 ns 9.823 ns 8.203 ns 1,259.77 ns 1,255.89 ns 1,279.38 ns 27 0.0229 384 B
Add 1024 RNGModifiedFNV1 1,273.95 ns 7.871 ns 6.572 ns 1,273.07 ns 1,263.13 ns 1,286.95 ns 27 0.0229 384 B
Add 1024 CRC32 549.69 ns 5.392 ns 4.780 ns 547.87 ns 545.01 ns 560.14 ns 22 0.0191 328 B
Add 1024 CRC64 88.11 ns 0.844 ns 0.790 ns 87.76 ns 87.25 ns 89.80 ns 10 0.0048 80 B
Add 1024 Adler32 336.74 ns 6.487 ns 5.417 ns 339.17 ns 327.21 ns 345.29 ns 16 0.0200 336 B
Add 1024 Murmur3 478.67 ns 2.061 ns 1.928 ns 478.31 ns 476.10 ns 482.93 ns 20 0.0048 80 B
Add 1024 Murmur32BitsX86 489.07 ns 9.783 ns 20.203 ns 478.96 ns 476.13 ns 558.53 ns 20 0.0048 80 B
Add 1024 Murmur128BitsX64 235.87 ns 1.664 ns 1.557 ns 236.20 ns 233.30 ns 238.38 ns 15 0.0072 120 B
Add 1024 Murmur128BitsX86 334.17 ns 0.569 ns 0.475 ns 334.24 ns 333.45 ns 335.09 ns 16 0.0072 120 B
Add 1024 SHA1 4,539.64 ns 2.843 ns 2.374 ns 4,539.24 ns 4,535.17 ns 4,543.87 ns 32 0.0305 544 B
Add 1024 SHA256 1,747.90 ns 4.390 ns 4.106 ns 1,748.48 ns 1,739.81 ns 1,754.14 ns 29 0.0286 496 B
Add 1024 SHA384 2,208.86 ns 3.754 ns 3.328 ns 2,208.17 ns 2,204.62 ns 2,215.67 ns 30 0.0267 456 B
Add 1024 SHA512 2,390.80 ns 4.451 ns 4.164 ns 2,390.12 ns 2,385.87 ns 2,400.78 ns 31 0.0267 504 B
Add 1024 XXHash32 421.10 ns 0.343 ns 0.304 ns 421.19 ns 420.56 ns 421.45 ns 17 0.0048 80 B
Add 1024 XXHash64 140.22 ns 0.233 ns 0.218 ns 140.26 ns 139.91 ns 140.63 ns 12 0.0048 80 B
Add 1024 XXHash3 67.50 ns 0.134 ns 0.112 ns 67.48 ns 67.32 ns 67.75 ns 5 0.0048 80 B
Add 1024 XXHash128 70.36 ns 0.220 ns 0.206 ns 70.38 ns 70.03 ns 70.68 ns 6 0.0048 80 B
Add 1048576 LCGWithFNV1 865,507.14 ns 33.403 ns 27.893 ns 865,515.92 ns 865,431.84 ns 865,536.13 ns 43 - 80 B
Add 1048576 LCGWithFNV1a 865,569.19 ns 37.885 ns 33.584 ns 865,566.46 ns 865,513.28 ns 865,628.71 ns 43 - 80 B
Add 1048576 LCGModifiedFNV1 865,544.18 ns 49.942 ns 44.272 ns 865,526.27 ns 865,493.55 ns 865,652.54 ns 43 - 80 B
Add 1048576 RNGWithFNV1 866,009.20 ns 58.792 ns 52.118 ns 865,989.70 ns 865,952.73 ns 866,125.00 ns 43 - 384 B
Add 1048576 RNGWithFNV1a 866,010.55 ns 65.896 ns 61.639 ns 866,001.37 ns 865,898.73 ns 866,147.17 ns 43 - 384 B
Add 1048576 RNGModifiedFNV1 866,024.55 ns 52.725 ns 46.739 ns 866,033.84 ns 865,936.52 ns 866,088.77 ns 43 - 384 B
Add 1048576 CRC32 405,358.53 ns 190.366 ns 168.755 ns 405,333.28 ns 405,092.04 ns 405,753.81 ns 41 - 328 B
Add 1048576 CRC64 56,321.74 ns 23.680 ns 19.774 ns 56,315.30 ns 56,303.48 ns 56,370.02 ns 35 - 80 B
Add 1048576 Adler32 183,236.21 ns 307.783 ns 287.900 ns 183,033.96 ns 182,984.23 ns 183,816.09 ns 38 - 336 B
Add 1048576 Murmur3 441,874.65 ns 120.222 ns 112.456 ns 441,926.81 ns 441,729.10 ns 442,070.12 ns 42 - 80 B
Add 1048576 Murmur32BitsX86 441,850.23 ns 132.677 ns 117.615 ns 441,812.06 ns 441,735.35 ns 442,130.66 ns 42 - 80 B
Add 1048576 Murmur128BitsX64 163,915.44 ns 77.542 ns 72.533 ns 163,879.64 ns 163,843.26 ns 164,037.11 ns 37 - 120 B
Add 1048576 Murmur128BitsX86 274,620.93 ns 185.247 ns 173.280 ns 274,522.12 ns 274,446.83 ns 274,957.18 ns 39 - 120 B
Add 1048576 SHA1 3,381,425.73 ns 706.447 ns 626.247 ns 3,381,191.80 ns 3,380,729.69 ns 3,382,828.91 ns 47 - 546 B
Add 1048576 SHA256 874,830.84 ns 33.305 ns 31.153 ns 874,826.37 ns 874,775.29 ns 874,903.61 ns 44 - 496 B
Add 1048576 SHA384 1,306,967.72 ns 831.669 ns 777.943 ns 1,307,006.64 ns 1,305,832.23 ns 1,308,288.67 ns 45 - 457 B
Add 1048576 SHA512 2,610,481.14 ns 1,360.749 ns 1,206.269 ns 2,610,458.01 ns 2,608,700.00 ns 2,612,751.56 ns 46 - 626 B
Add 1048576 XXHash32 382,378.24 ns 96.264 ns 85.336 ns 382,386.87 ns 382,255.91 ns 382,521.44 ns 40 - 80 B
Add 1048576 XXHash64 100,570.79 ns 15.037 ns 12.557 ns 100,570.25 ns 100,551.87 ns 100,591.17 ns 36 - 80 B
Add 1048576 XXHash3 30,258.92 ns 66.019 ns 61.754 ns 30,218.56 ns 30,196.84 ns 30,357.71 ns 33 - 80 B
Add 1048576 XXHash128 33,778.68 ns 22.719 ns 20.139 ns 33,779.05 ns 33,745.28 ns 33,818.32 ns 34 - 80 B

Hash ErrRate

Count:100000 Capacity:958506 Hashes:7 ExpectedElements:100000 ErrorRate:0.01

LCGWithFNV1
 Speed:69.1082ms ErrRate:93.942% ErrTotal:93942 Final ErrRate:100.000%
LCGWithFNV1a
 Speed:82.353ms ErrRate:93.928% ErrTotal:93928 Final ErrRate:100.000%
LCGModifiedFNV1
 Speed:58.9601ms ErrRate:93.926% ErrTotal:93926 Final ErrRate:100.000%
RNGWithFNV1
 Speed:218.8725ms ErrRate:0.156% ErrTotal:156 Final ErrRate:1.034%
RNGWithFNV1a
 Speed:219.4473ms ErrRate:0.153% ErrTotal:153 Final ErrRate:1.071%
RNGModifiedFNV1
 Speed:221.0097ms ErrRate:0.167% ErrTotal:167 Final ErrRate:1.063%
CRC32
 Speed:74.8524ms ErrRate:0.183% ErrTotal:183 Final ErrRate:1.018%
CRC64
 Speed:22.3531ms ErrRate:0.173% ErrTotal:173 Final ErrRate:0.925%
Adler32
 Speed:86.8095ms ErrRate:10.085% ErrTotal:10085 Final ErrRate:23.404%
Murmur3
 Speed:42.2731ms ErrRate:0.156% ErrTotal:156 Final ErrRate:0.973%
Murmur32BitsX86
 Speed:42.6358ms ErrRate:0.156% ErrTotal:156 Final ErrRate:0.973%
Murmur128BitsX64
 Speed:32.2329ms ErrRate:0.160% ErrTotal:160 Final ErrRate:1.021%
Murmur128BitsX86
 Speed:36.654ms ErrRate:0.169% ErrTotal:169 Final ErrRate:1.038%
SHA1
 Speed:274.6806ms ErrRate:0.175% ErrTotal:175 Final ErrRate:0.952%
SHA256
 Speed:209.7873ms ErrRate:0.170% ErrTotal:170 Final ErrRate:0.984%
SHA384
 Speed:315.9428ms ErrRate:0.165% ErrTotal:165 Final ErrRate:0.988%
SHA512
 Speed:322.2861ms ErrRate:0.171% ErrTotal:171 Final ErrRate:0.998%
XXHash32
 Speed:41.2861ms ErrRate:0.163% ErrTotal:163 Final ErrRate:1.035%
XXHash64
 Speed:23.5383ms ErrRate:0.149% ErrTotal:149 Final ErrRate:1.054%
XXHash3
 Speed:19.8399ms ErrRate:0.157% ErrTotal:157 Final ErrRate:0.966%
XXHash128
 Speed:19.7745ms ErrRate:0.155% ErrTotal:155 Final ErrRate:1.027%

bloomfilter.netcore's People

Contributors

vla avatar 2881099 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.