topk

package module
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Published: Nov 19, 2019 License: MIT Imports: 5 Imported by: 9

README

go-topk: "filtered space saving" streaming topk algorithm

godoc: http://godoc.org/github.com/dgryski/go-topk

Documentation

Overview

Package topk implements the Filtered Space-Saving TopK streaming algorithm

The original Space-Saving algorithm: https://icmi.cs.ucsb.edu/research/tech_reports/reports/2005-23.pdf

The Filtered Space-Saving enhancement: http://www.l2f.inesc-id.pt/~fmmb/wiki/uploads/Work/misnis.ref0a.pdf

This implementation follows the algorithm of the FSS paper, but not the suggested implementation. Specifically, we use a heap instead of a sorted list of monitored items, and since we are also using a map to provide O(1) access on update also don't need the c_i counters in the hash table.

Licensed under the MIT license.

Index

Constants

This section is empty.

Variables

This section is empty.

Functions

This section is empty.

Types

type Element

type Element struct {
	Key   string
	Count int
	Error int
}

Element is a TopK item

type Stream

type Stream struct {
	// contains filtered or unexported fields
}

Stream calculates the TopK elements for a stream

func New

func New(n int) *Stream

New returns a Stream estimating the top n most frequent elements

func (*Stream) Estimate

func (s *Stream) Estimate(x string) Element

Estimate returns an estimate for the item x

func (*Stream) GobDecode

func (s *Stream) GobDecode(b []byte) error

func (*Stream) GobEncode

func (s *Stream) GobEncode() ([]byte, error)

func (*Stream) Insert

func (s *Stream) Insert(x string, count int) Element

Insert adds an element to the stream to be tracked It returns an estimation for the just inserted element

func (*Stream) Keys

func (s *Stream) Keys() []Element

Keys returns the current estimates for the most frequent elements

Directories

Path Synopsis
cmd

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