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Merge pull request #200 from alanbernstein/benchmarks-zipf
Benchmarks zipf
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58f697d814
4 changed files with 238 additions and 0 deletions
64
bench/permutations.go
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64
bench/permutations.go
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package bench
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// PermutationGenerator provides a way to pass integer IDs through a permutation
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// map that is pseudorandom but repeatable. This could be done with rand.Perm,
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// but that would require storing a [Iterations]int64 array, which we want to avoid
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// for large values of Iterations.
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// It works by using a Linear Congruence Generator (https://en.wikipedia.org/wiki/Linear_congruential_generator)
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// with modulus m = Iterations,
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// c = an arbitrary prime,
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// a = computed to ensure the full period.
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// relevant stackoverflow: http://cs.stackexchange.com/questions/29822/lazily-computing-a-random-permutation-of-the-positive-integers
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type PermutationGenerator struct {
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a int64
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c int64
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m int64
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}
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func NewPermutationGenerator(m int64, seed int64) *PermutationGenerator {
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// figure out 'a' and 'c', return PermutationGenerator
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a := LCGmultiplierFromModulus(m, seed)
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c := int64(22695479)
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return &PermutationGenerator{a, c, m}
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}
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func (p *PermutationGenerator) Next(n int64) int64 {
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// run one step of the LCG
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return (n*p.a + p.c) % p.m
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}
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// LCG parameters must satisfy three conditions:
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// 1. m and c are relatively prime (satisfied for prime c != m)
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// 2. a-1 is divisible by all prime factors of m
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// 3. a-1 is divisible by 4 if m is divisible by 4
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// Additionally, a seed can be used to select between different permutations
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func LCGmultiplierFromModulus(m int64, seed int64) int64 {
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factors := primeFactors(m)
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product := int64(1)
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for p := range factors {
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// satisfy condition 2
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product *= p
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}
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if m%4 == 0 {
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// satisfy condition 3
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product *= 2
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}
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return product*seed + 1
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}
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// Returns map of {integerFactor: count, ...}
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// This is a naive algorithm that will not work well for large prime n.
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func primeFactors(n int64) map[int64]int {
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factors := make(map[int64]int)
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for i := int64(2); i <= n; i++ {
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div, mod := n/i, n%i
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for mod == 0 {
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factors[i] += 1
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n = div
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div, mod = n/i, n%i
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}
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}
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return factors
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}
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161
bench/zipf.go
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161
bench/zipf.go
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@ -0,0 +1,161 @@
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package bench
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import (
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"fmt"
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"flag"
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"io/ioutil"
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"context"
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"math"
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"math/rand"
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"time"
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)
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// ZipfSetBits sets random bits according to the Zipf-Mandelbrot distribution.
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// This distribution accepts two parameters, Exponent and Ratio, for both bitmaps and profiles.
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// It also uses PermutationGenerator to permute IDs randomly.
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type ZipfSetBits struct {
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HasClient
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BaseBitmapID int64
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BaseProfileID int64
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BitmapIDRange int64
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ProfileIDRange int64
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Iterations int // number of bits that will be set
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Seed int64
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BitmapRng *rand.Zipf
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ProfileRng *rand.Zipf
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BitmapPerm *PermutationGenerator
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ProfilePerm *PermutationGenerator
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DB string // DB to use in pilosa.
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// TODO remove these - but theyre needed in ConsumeFlags
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BitmapExponent float64
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BitmapRatio float64
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ProfileExponent float64
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ProfileRatio float64
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}
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func (b *ZipfSetBits) Usage() string {
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return `
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zipf-set-bits sets random bits according to the Zipf distribution.
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This is a power-law distribution controlled by two parameters.
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Exponent, in the range (1, inf), with a default value of 1.001, controls
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the "sharpness" of the distribution, with higher exponent being sharper.
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Ratio, in the range (0, 1), with a default value of 0.25, controls the
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maximum variation of the distribution, with higher ratio being more uniform.
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Usage: zipf-set-bits [arguments]
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The following arguments are available:
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-base-bitmap-id int
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bits being set will all be greater than BaseBitmapID
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-bitmap-id-range int
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number of possible bitmap ids that can be set
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-base-profile-id int
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profile id num to start from
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-profile-id-range int
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number of possible profile ids that can be set
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-iterations int
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number of bits to set
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-seed int
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Seed for RNG
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-db string
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pilosa db to use
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-bitmap-exponent float64
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zipf exponent parameter for bitmap IDs
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-bitmap-ratio float64
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zipf probability ratio parameter for bitmap IDs
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-profile-exponent float64
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zipf exponent parameter for profile IDs
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-profile-ratio float64
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zipf probability ratio parameter for profile IDs
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-client-type string
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Can be 'single' (all agents hitting one host) or 'round_robin'
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`[1:]
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}
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func (b *ZipfSetBits) ConsumeFlags(args []string) ([]string, error) {
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fs := flag.NewFlagSet("ZipfSetBits", flag.ContinueOnError)
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fs.SetOutput(ioutil.Discard)
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fs.Int64Var(&b.BaseBitmapID, "base-bitmap-id", 0, "")
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fs.Int64Var(&b.BitmapIDRange, "bitmap-id-range", 100000, "")
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fs.Int64Var(&b.BaseProfileID, "base-profile-id", 0, "")
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fs.Int64Var(&b.ProfileIDRange, "profile-id-range", 100000, "")
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fs.Int64Var(&b.Seed, "seed", 1, "")
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fs.IntVar(&b.Iterations, "iterations", 100, "")
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fs.StringVar(&b.DB, "db", "benchdb", "")
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fs.Float64Var(&b.BitmapExponent, "bitmap-exponent", 1.01, "")
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fs.Float64Var(&b.BitmapRatio, "bitmap-ratio", 0.25, "")
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fs.Float64Var(&b.ProfileExponent, "profile-exponent", 1.01, "")
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fs.Float64Var(&b.ProfileRatio, "profile-ratio", 0.25, "")
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fs.StringVar(&b.ClientType, "client-type", "single", "")
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if err := fs.Parse(args); err != nil {
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return nil, err
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}
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return fs.Args(), nil
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}
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// Offset is the true parameter used by the Zipf distribution, but the ratio,
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// as defined here, is a simpler, readable way to define the distribution.
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// Offset is in [1, inf), and its meaning depends on N (a pain for updating benchmark configs)
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// ratio is in (0, 1), and its meaning does not depend on N.
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// it is the ratio of the lowest probability in the distribution to the highest.
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// ratio=0.01 corresponds to a very small offset - the most skewed distribution for a given pair (N, exp)
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// ratio=0.99 corresponds to a very large offset - the most nearly uniform distribution for a given (N, exp)
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func getZipfOffset(N int64, exp, ratio float64) float64 {
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z := math.Pow(ratio, 1/exp)
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return z * float64(N-1) / (1 - z)
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}
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func (b *ZipfSetBits) Init(hosts []string, agentNum int) error {
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rnd := rand.New(rand.NewSource(b.Seed + int64(agentNum)))
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bitmapOffset := getZipfOffset(b.BitmapIDRange, b.BitmapExponent, b.BitmapRatio)
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b.BitmapRng = rand.NewZipf(rnd, b.BitmapExponent, bitmapOffset, uint64(b.BitmapIDRange-1))
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profileOffset := getZipfOffset(b.ProfileIDRange, b.ProfileExponent, b.ProfileRatio)
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b.ProfileRng = rand.NewZipf(rnd, b.ProfileExponent, profileOffset, uint64(b.ProfileIDRange-1))
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b.BitmapPerm = NewPermutationGenerator(b.BitmapIDRange, b.Seed)
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b.ProfilePerm = NewPermutationGenerator(b.ProfileIDRange, b.Seed+1)
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return b.HasClient.Init(hosts, agentNum)
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}
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// Run runs the ZipfSetBits benchmark
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func (b *ZipfSetBits) Run(ctx context.Context, agentNum int) map[string]interface{} {
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results := make(map[string]interface{})
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if b.cli == nil {
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results["error"] = fmt.Errorf("No client set for ZipfSetBits agent: %v", agentNum)
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return results
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}
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s := NewStats()
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var start time.Time
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for n := 0; n < b.Iterations; n++ {
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// generate IDs from Zipf distribution
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bitmapIDOriginal := b.BitmapRng.Uint64()
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profIDOriginal := b.ProfileRng.Uint64()
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// permute IDs randomly, but repeatably
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bitmapID := b.BitmapPerm.Next(int64(bitmapIDOriginal))
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profID := b.ProfilePerm.Next(int64(profIDOriginal))
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query := fmt.Sprintf("SetBit(%d, 'frame.n', %d)", b.BaseBitmapID+int64(bitmapID), b.BaseProfileID+int64(profID))
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start = time.Now()
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b.cli.ExecuteQuery(ctx, b.DB, query, true)
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s.Add(time.Now().Sub(start))
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}
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AddToResults(s, results)
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return results
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}
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@ -1206,6 +1206,8 @@ func (cmd *BagentCommand) ParseFlags(args []string) error {
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bm = &bench.DiagonalSetBits{}
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case "random-set-bits":
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bm = &bench.RandomSetBits{}
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case "zipf-set-bits":
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bm = &bench.ZipfSetBits{}
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case "multi-db-set-bits":
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bm = &bench.MultiDBSetBits{}
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case "random-query":
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@ -1252,6 +1254,7 @@ The following arguments are available:
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subcommands:
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diagonal-set-bits
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random-set-bits
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zipf-set-bits
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multi-db-set-bits
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random-query
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import
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10
cmd/pilosactl/zipfspawn.json
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10
cmd/pilosactl/zipfspawn.json
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{
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"CreatorArgs": ["-type", "local", "-serverN", "3", "-replicaN", "1"],
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"Agents": { "Type": "local" },
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"Benchmarks": [
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{
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"Num": 1,
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"Args": ["zipf-set-bits", "-iterations", "10000", "-profile-id-range", "100", "-bitmap-id-range", "100", "-seed", "2345", "-client-type", "round_robin", "-bitmap-exponent", "1.001", "-bitmap-ratio", ".9", "-profile-exponent", "1.001", "-profile-ratio", ".3"]
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}
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]
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}
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