# bloom filter

• bloom filter概念讲解以及代码分析

Bloom filter 优点就是它的插入和查询时间都是常数,另外它查询元素却不保存元素本身,具有良好的安全性 一. 简介1.什么是bloom filter?Bloom filter 是由 Howard Bloom 在 1970 年提出的二进制向量数据结构,它具有很好的空间和时间效率,被用来检测一个元素是不是集合中的一个成员,这种检测只会对在集合内的数据错判,而不会对不是集合内的数据进行错判,这样每个检测请求返回有"在集合内(可能错误)"和"不在集合内(绝对不在集合内)&qu

December 14

• [Switch] massive data processing topics

Transfer from: http://blog.redfox66.com/post/2010/09/24/mass-data-topic-2-bloom-filter.aspx What is a Bloom Filter [] Bloom Filter is a space efficient randomized data structure, which uses bits to represent a set of very simple set, and can determin

• cassandra entry summary

Contents I., Cassandra frame two, Cassandra data model Colum / Colum Family, SuperColum / SuperColum Family Colum sorting Third, the partitioning strategy Token, Partitioner bloom-filter, HASH Fourth, the copy of the storage 5, the network sniffer si

• Mathematical beauty of Series 21 - Bloom filters (Bloom Filter)

Transfer http://www.google.com.hk/ggblog/googlechinablog/2007/07/bloom-filter_7469.html In daily life, including in the design of computer software, we often have to determine whether an element in a collection. For example, in word processing softwa

• BloomFilter (Bloom filter)

package sunfa; import java.util.BitSet; import java.util.Random; /** * BloomFilter( Heilbronn filters ) * http://www.cnblogs.com/allensun/archive/2011/02/16/1956532.html * */ public class BloomFilter { private int DEFAULT_SIZE = 1 << 6; private BitS

• Used a large amount of data mass data processing method / algorithm summary

Large amount of data is often written a lot of interview problems, such as Tencent baidu google some of the companies huge amounts of data involved is often asked. The following is my method for massive data processing carried out a general summary,

• Massive data processing feature (B) - Bloom Filter

Huge amounts of data has always been Baidu, Taobao, Tencent interview hot, although Microsoft does not value this, but the look is still very necessary. Inverted index recently wrote, I hope to continue to focus this blog. ===========================

• Large amount of data, summary of massive data processing methods (transfer)

Large amount of data, summary of massive data processing methods (transfer) Large amount of data is often written a lot of interview problems, such as baidu google Tencent such massive amounts of data related to some of the companies are often asked.

• Mathematical beauty of Series 21 - Bloom filter (Bloom Filter)

Today in the training of a product currently used in hearing Bloom Filter, is unfortunately not before a close look, now under re-study, to incorporate ideas. In daily life, including in the design of computer software, we often have to determine whe

• [Zz] interview questions for example huge amounts of data

Large data problem is a lot of interview questions that often appear in written test, such as Tencent baidu google some of this mass of data related to the company often asked. The following is my handling of mass data was a general conclusion, of co

• Large amount of data and massive data processing algorithms Summary

Large amount of data is often written a lot of interview problems, such as baidu google Tencent such massive amounts of data related to some of the companies are often asked. The following is my method of handling massive data a general summary of co

• Massive data processing ideas and methods used

(Reprinted) http://www.yiihsia.com/2010/12/% e6% b5% b7% e9% 87% 8f% e6% 95% b0% e6% 8d% ae% e5% a4% 84% e7% 90% 86 % e5% b8% b8% e7% 94% a8% e6% 80% 9d% e8% b7% af% e5% 92% 8c% e6% 96% b9% e6% b3% 95 / Large amount of data is written in many intervi

• Large amount of data, large data processing Methods (to)

Large data problem is a lot of interview questions that often appear in written test, such as Tencent baidu google some of this mass of data related to the company often asked. The following is my handling of mass data was a general conclusion, of co

• Massive data interview questions

Transfer from: http://blog.csdn.net/fisher_jiang/archive/2010/08/01/5780735.aspx And http://www.cnblogs.com/youwang/archive/2010/07/20/1781431.html 1. For a given a, b two files, the storage of 5 billion url, url each 64 bytes each, the memory limit

• Bloom filter (Bloom Filter)

In daily life, including in the design of computer software, we often have to determine whether an element in a collection. For example, in a word processor, to check whether an English word spelled correctly (that is, to determine whether it is in a

Of Ron Bodkin translator Zhang Long Jay Kreps from LinkedIn, recently held Hadoop Summit on LinkedIn introduces the data is processed. Kreps LinkedIn introduces how to deal with every day is between 1.2 hundred billion and through high-capacity, low-

• Application of Bloom filter interview

How to be stored in A and B from the one hundred million in the URL to find the A and B are not in the URL? Bloom filter should be a better solution, but only one comparison to find the high efficiency. Speaking from memory, if the hash table, assumi

• How to implement a Bloom Filter

Bloom Filter is to use less memory and CPU to quickly test whether an element exists in a large collection of data structures. Scene Suppose you have a lot of servers, each server has a hash table and keep a lot of key value. Do you know a key, the k

December 18

• Mass data processing (II) - Bloom Filter

Transfer: http://blog.redfox66.com/post/mass-data-topic-2-bloom-filter.aspx What is a Bloom Filter] [ Bloom Filter is a space efficient randomized data structure, which uses bits to represent a set of very simple set, and can determine whether an ele

• Mass data processing feature (a) - opening

Transfer: http://blog.redfox66.com/post/mass-data-topic-1-start.aspx Large data problem is a lot of interview questions that often appear in written test, such as Tencent baidu google some of this mass of data related to the company often asked. The

• Some common subject of massive data processing

Long time no update blog, and the first two nagging. During this time there were several pieces of a medium to do it. (1) signed tencent temporary work, and will not know who will be variable. Maybe the road leading to NetEase has not completely bloc

November 25

• Principle and Application of Bloom Filter

http://blog.huang-wei.com/2010/11/02/bloom-filter/ Principle and Application of Bloom Filter Introduction Bloom Filter is a simple space-saving, randomized data structures to support the collection of user queries. Generally, we use the STL's std:: s

• Several large data processing problems Road (turn)

1. To the A, B two files, the storage of 5 billion URL, each URL occupy 64 bytes, the memory limit is 4G, allows you to find the A, B files a common URL. Analysis: 1MB = 2 ^ 20 = 10 ^ 6 = 100 Million 1GB = 2 ^ 30 = 10 ^ 9 = 1 Billion 50 billion url =

• Large amount of data, large data processing Methods

Large data problem is a lot of interview questions that often appear in written test, such as Tencent baidu google some of this mass of data related to the company often asked. The following is my handling of mass data was a general conclusion, of co

• Introduction to Bloom Filters

1 Overview Bloom filter was first proposed by the Burton Howard Bloom is a member used to determine whether there was a collection of data structures. Bloom filter judgments based on probability theory: If a member exists in the collection, then the

• Bloom-Filter algorithm based on URL filters to achieve

A, Bloom-Filter Algorithm Profile. Bloom-Filter, the Bloom filter, proposed in 1970 by Bloom. It can be used to retrieve an element is in a collection, its advantage is space efficiency and query time is far better than other algorithms, its drawback

• Massive Data Processing Methods

Large amount of data, mass data processing method is better to see a summary of today and useful things, so I took over! Oh big problem is that a lot of data often appear in the written interview questions, such as Tencent baidu google some of this m

• Large amount of data, large data processing Methods (zz)

Since: http://hi.baidu.com/secondbysecond/blog/item/de06890e9a0fae276159f334.html Large amount of data, large data processing Methods (zz) Large data problem is a lot of interview questions that often appear in written test, such as Tencent baidu goo

• Algorithms on massive data

Source http://www.javaeye.com/topic/776650 And http://iriswangscm.wordpress.com/2010/06/03/% e4% b8% 80% e4% b8% aa% e4% ba% ba% e7% 9a% 84% e6% 80% bb% e7% bb% 93% e7% ae% 97% e6% b3% 95 / Large data problem is a lot of interview questions that ofte

• Massive data processing on

How to deal with huge amounts of data on the methodology and data come mostly search terms ... Common data structure: 1.Bloom Filter Generally thought so, put a data through a hash function mapping N to a length of an array of M, and the hash functio

• Massive data processing program

Large data problem is a lot of interview questions that often appear in written test, such as Tencent baidu google some of this mass of data related to the company often asked. The following is my handling of mass data was a general conclusion, of co

• Organize vast amounts of data interview questions

1. For a given a, b two files, the storage of 5 billion url, url each 64 bytes each, the memory limit is 4G, allows you to find a, b common file url? Scenario 1: You can estimate the size of each file security 50G × 64 = 320G, much larger than the me

• [Change] large amount of data, mass data processing Methods

Large data problem is that many interview questions that often appear in written examination, such as baidu google Tencent so some of the companies huge amounts of data involved is often asked. The following is my massive data processing method has b

• [Turn] a large amount of data, large data processing Methods

Large data problem is a lot of interview questions that often appear in written test, such as Tencent baidu google some of this mass of data related to the company often asked. The following is my handling of mass data was a general conclusion, of co

• [Turn] a large amount of data, mass data processing Methods

Large amount of data is often written a lot of interview problems, such as baidu google Tencent such massive amounts of data related to some of the companies are often asked. The following is my method of handling massive data a general summary of co

• Large amount of data, mass data processing method summary (reproduced)

Reproduced, the original address: http://blog.sina.com.cn/s/blog_4d3a41f40100ic9d.html Yes. Original Address: large data volume, mass data processing method summary (reproduced) on: Autumn Gold with water (This address is reprinted Bowen encrypted an

• [Zz] large data volume, mass data processing Methods

Large data problem is that many interview questions that often appear in written examination, such as baidu google Tencent so some of the companies huge amounts of data involved is often asked. The following is my handling of mass data was a general

• larbin in URL's to re-Bloom Filter Algorithm

Reading larbin source has praised it to re-design methods, although there are some collisions, but very efficient, the memory is very small, according to larbin configuration, download the 64 million pages of memory used only 8M. Algorithm characteri

August 18

• Massive data algorithm document questions

1. To set a, b two files, the storage of 5 billion url, url each of 64 bytes each, the memory limit is 4G, allows you to find a, b file common url? Scenario 1: An estimate of the size of each file 50G × 64 = 320G, far greater than the memory limit of

• Rapid positioning elements in which the collection: Bloom Filter

Access to the database will usually split, split file split and so on, how quickly locate information, find the section that contains an information For example to find the records, how do you know which table it 1. The simplest way is to look in eve

• Large amount of data, mass data processing Methods

Large amount of data, summary of massive data processing phylips @ bmy 2009-11-27 17:57:48 Recently a little busy, idle down a little, fat, summary articles posted. Large data problem is that many interview questions that often appear in written exam

• The Beauty of Mathematics Series 21 - Bloom filter (Bloom Filter)

In daily life, including in the design of computer software, we often have to determine whether an element in a collection. For example, in word processing software, you need to check whether an English word spelled correctly (that is, to determine w

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