yanakad

Profiling performance

Using perf:

$ perf record -g binary
$ perf script | stackcollapse-perf.pl | rust-unmangle | flamegraph.pl > flame.svg

NOTE: See @GabrielMajeri's comments below about the -g option.

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Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
Models and Issues in Data Stream Systems
Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
[Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep

	// Colors reference
	// You can use the following as so:
	// console.log(colorCode, data);
	// console.log(`${colorCode}some colorful text string${resetCode} rest of string in normal color`);
	//
	// ... and so on.

	export const reset = "\x1b[0m"
	export const bright = "\x1b[1m"
	export const dim = "\x1b[2m"

	import kafka.server.KafkaConfig;
	import kafka.server.KafkaServer;

	import java.io.File;
	import java.io.FileNotFoundException;
	import java.util.ArrayList;
	import java.util.Collections;
	import java.util.List;
	import java.util.Properties;