A general purpose counting filter: making every bit count | the morning paper
the morning paper a random walk through Computer Science research, by Adrian Colyer Made delightfully fast by strattic A general purpose counting filter: making every bit count Pandey et al., SIGMOD’17 It’s been a while since we looked at a full on algorithms and data structures paper, but this one was certainly worth waiting for. We’re in the world of Approximate Membership Query (AMQ) data struc
Log Structured Merge Trees - ben stopford
It’s nearly a decade since Google released its ‘Big Table’ paper. One of the many cool aspects of that paper was the file organisation it uses. The approach is more generally known as the Log Structured Merge Tree, after this 1996 paper, although the algorithm described there differs quite significantly from most real-world implementations. LSM is now used in a number of products as the main file
Cuckoo filters and their analysis: 11011110
Do you have a software project in which you need a fast and space-efficient approximate set data structure, like a Bloom filter ? Then probably what you want is actually a cuckoo filter , a plug-in replacement for Bloom filters that is faster, more space-efficient, and more versatile (because it allows elements to be deleted as well as inserted). Michael Mitzenmacher has described cuckoo filters i
Scalable Bloom Filtersã¨ã¯ä¸€ä½“....？ - Qiita
Wikipediaã‚’æ¼ã£ã¦ã„ãŸã¨ã“ã‚Scalable Bloom Filters(SBF)ã¨ã„ã†ãƒ‡ãƒ¼ã‚¿æ§‹é€ を発見ã—ã¦ã—ã¾ã£ãŸã®ã§ç´¹ä»‹ã—ã¾ã™1。 å‚ç…§ã—ãŸè«–æ–‡ http://haslab.uminho.pt/cbm/publications/scalable-bloom-filters Bloom Filter SBFã®èª¬æ˜Žã«å…¥ã‚‹å‰ã«ã€Bloom Filterã«ã¤ã„ã¦ç°¡å˜ã«ç´¹ä»‹ã—ã¾ã™ã€‚ã‚‚ã£ã¨ã‚‚ã€æ—¥æœ¬èªžã®Wikipediaã§ã‚‚å分詳ã—ã„説明ãŒè¼‰ã£ã¦ã„ãŸã‚Šã™ã‚‹ã®ã§ã™ãŒâ€¦â€¦ã€‚ ã•ã•ã£ã¨èª¬æ˜Ž Bloom Filterã¯ã¡ã‚‡ã£ã¨ä¸æ€è°ãªæ€§è³ªã‚’æŒã¤ãƒ‡ãƒ¼ã‚¿æ§‹é€ ã®ä¸€ç¨®ã§ã™2。 ã„ã‚ゆるSetã¨åŒã˜æ“作をæä¾›ã™ã‚‹ è¦ç´ を入れるæ“作ã¨ã€ã‚ã‚‹è¦ç´ ãŒå…¥ã£ã¦ã„ã‚‹ã‹ã‚’調ã¹ã‚‹æ“作 ã©ã¡ã‚‰ã‚‚時間計算é‡O(1)ã§å®Ÿç¾ã§ãã‚‹ ãƒãƒƒã‚·ãƒ¥ãƒ†ãƒ¼ãƒ–ルãªã©ã‚’用ã„ã¦å®Ÿè£…ã•ã‚Œã‚‹åŒç¨®ã®ãƒ‡ãƒ¼ã‚¿åž‹ã¨æ¯”ã—ã¦ã€ã¨ã¦ã‚‚空間効率ãŒè‰¯ã„ ãã®ä»£ã‚ã‚Šã«ã€ã‚ã‚‹
pixivã§BloomFilterを使ã†ãŸã‚ã«ã‚„ã£ãŸã“㨠- pixiv inside [archive]
ã“ã‚“ã«ã¡ã¯ã€‚最近ã¯Androidアプリ開発ã«å…¥é–€ã—ã¾ã—ãŸã€@edvakfã§ã™ã€‚ pixivã§ã¯ã‚ャッシュ兼汎用KVSã¨ã—ã¦KyotoTycoon (KT)を使用ã—ã¦ãŠã‚Šã€é »ç¹ã«ã‚¢ã‚¯ã‚»ã‚¹ã•ã‚Œã‚‹ã‚ーã¯ã‚¢ãƒ—リケーションサーãƒãƒ¼å†…ã®APC（PHPã®shared memory cacheã§ã™ï¼‰ã«ã‚‚ã‚ャッシュã™ã‚‹ã“ã¨ã§å¤šæ®µåŒ–ã—ã¦ã„ã¾ã™ã€‚ ã“ã®ã‚ˆã†ãªæ§‹æˆã®å¼±ç‚¹ã¨ã—ã¦ã€ã€Œã»ã¨ã‚“ã©ã®å ´åˆã¯å€¤ãŒç„¡ã„ã‘ã©æ¯Žå›žå˜åœ¨ç¢ºèªãŒå¿…è¦ãªã‚ーã€ã®å ´åˆã«å‰æ®µã«ã‚ャッシュãŒç„¡ãã¦æ¯Žå›žå¾Œæ®µã«ã¾ã§å•ã„åˆã‚ã›ãªã‘ã‚Œã°ã„ã‘ãªã„ã¨ã„ã†å•é¡ŒãŒã‚ã‚Šã¾ã™ã€‚ãƒã‚¬ãƒ†ã‚£ãƒ–ã‚ャッシュ（値ãŒãªã„ã“ã¨ã‚’ã‚ャッシュã™ã‚‹ï¼‰ã‚’使ã†ã¨ã„ã†æ‰‹ã‚‚ã‚ã‚Šã¾ã™ãŒã€å•ã„åˆã‚ã›ã‚‹ã‚ーã®æ•°ãŒè†¨å¤§ã«ãªã£ã¦ãã‚‹ã¨ç¾å®Ÿçš„ã§ã¯ã‚ã‚Šã¾ã›ã‚“。 pixivã§ã¯ã€ä½œå“ã«ä»˜ã„ã¦ã„る最大10個ã®ã‚¿ã‚°ã«ã¤ã„ã¦ã€ãƒ”クシブ百科事典ã«è¨˜äº‹ãŒã‚ã‚‹ã‹ã©ã†ã‹ã‚’判定ã™ã‚‹å¿…è¦ãŒã‚ã‚Šã¾ã—ãŸã€‚ã“ã‚Œã«åŠ ãˆã€æœ€è¿‘ã§ã¯BOOT
![pixivã§BloomFilterを使ã†ãŸã‚ã«ã‚„ã£ãŸã“㨠- pixiv inside [archive]](https://cdn-ak-scissors.b.st-hatena.com/image/square/d3f11de6358a06cf5b2e4ace4884d5ad99b642eb/height=288;version=1;width=512/https%3A%2F%2Fcdn.image.st-hatena.com%2Fimage%2Fscale%2F7a63d3d92fbe741e06214faf238933b8fd3659c9%2Fbackend%3Dimagemagick%3Bheight%3D1300%3Bversion%3D1%3Bwidth%3D1300%2Fhttp%253A%252F%252Fcdn-ak.f.st-hatena.com%252Fimages%252Ffotolife%252Fd%252Fdevpixiv%252F20140722%252F20140722045434.png)
GitHub - efficient/cuckoofilter
Cuckoo filter is a Bloom filter replacement for approximated set-membership queries. While Bloom filters are well-known space-efficient data structures to serve queries like "if item x is in a set?", they do not support deletion. Their variances to enable deletion (like counting Bloom filters) usually require much more space. Cuckoo ï¬lters provide the flexibility to add and remove items dynamically
Hadoop Hive - ORC Files
ORC File Format File Structure Stripe Structure HiveQLSyntax Serialization and Compression Integer Column Serialization String Column Serialization Compression ORC File Format The Optimized Row Columnar (ORC) file format provides a highly efficient way to store Hive data. It was designed to overcome limitations of the other Hive file formats. Using ORC files improves performance when Hive is readi
Apache HBase I/O - HFile | Cloudera Blog
Introduction Apache HBase is the Hadoop open-source, distributed, versioned storage manager well suited for random, realtime read/write access. Wait wait? random, realtime read/write access? How is that possible? Is not Hadoop just a sequential read/write, batch processing system? Yes, we’re talking about the same thing, and in the next few paragraphs, I’m going to explain to  you how HBase achiev
Stand alone Java implementations of Cuckoo Hashing and Bloom Filters | Reformed(?) Hacker
Stand alone Java implementations of Cuckoo Hashing and Bloom Filters Included here is a standalone, java implementation of Cuckoo Hashing and of a Bloom Filter. Instructions for using these classes can be found in the Javadocs for Cuckoo hashing or in the instructions for using a Bloom Filter. Source code is also available.
DailyJS: LevelDB and Node: What is LevelDB Anyway?
This is the first article in a three-part series on LevelDB and how it can be used in Node. This article will cover the LevelDB basics and internals to provide a foundation for the next two articles. The second and third articles will cover the core LevelDB Node libraries: LevelUP, LevelDOWN and the rest of the LevelDB ecosystem that’s appearing in Node-land. What is LevelDB? LevelDB is an open-so
La plateforme Data Collaboration | LiveRamp
De meilleures fondations Voyez clairement votre client et assurez une mesure précise avec une identité fondamentale solide. Protégez la confiance avec les normes les plus élevées en matière de confidentialité et d'éthique des données. La vue client dont vous avez besoin Reliez les points de contact pour une compréhension plus profonde, plus riche et plus dynamique tout au long d'un parcours client
Probabilistic M2M Relationships Using Bloom Filters
I’d like to present a proof-of-concept I developed as an alternative method for storing many-to-many relationships in traditional SQL databases. A standard M2M relationship, as represented in SQL, looks like this: CREATE TABLE movie ( id SERIAL PRIMARY KEY, title VARCHAR(255) ); CREATE TABLE person ( id SERIAL PRIMARY KEY, name VARCHAR(255) ); CREATE TABLE movies_people ( movie_id INTEGER REFERENC
dablooms - an open source, scalable, counting bloom filter library
OverviewThis project aims to demonstrate a novel bloom filter implementation that can scale, and provide not only the addition of new members, but reliable removal of existing members. Motivationbitly has billions and billions of links and an infrastructure that serves thousands of decode requests per second, i.e. redirect the user from bit.ly/short to the long.destination.url.com/with/path. Users
GitHub - seomoz/pyreBloom: Fast Redis Bloom Filters in Python
Python + Redis + Bloom Filter = pyreBloom One of Salvatore's suggestions for Redis' GETBIT and SETBIT commands is to implement bloom filters. There was an existing python project that we used for inspiration. Notice Important -- The most recent version uses different seed values from all previous releases. Previous releases were using srand and rand, though they are not guaranteed to yield the sam
リリースã€éšœå®³æƒ…å ±ãªã©ã®ã‚µãƒ¼ãƒ“スã®ãŠçŸ¥ã‚‰ã›
最新ã®äººæ°—エントリーã®é…ä¿¡
j次ã®ãƒ–ックマーク
kå‰ã®ãƒ–ックマーク
lã‚ã¨ã§èªã‚€
eコメント一覧を開ã
oページを開ã
https://www.cs.cmu.edu/~binfan/papers/login_cuckoofilter.pdf
Cloudera Blog
Bloom filter calculator
Bloom filter
GitHub - MagnusS/Java-BloomFilter: A stand-alone Bloom filter implementation written in Java
Google Guava BloomFIlter - Random Thoughts on Coding
{{#tags}}- {{label}}
{{/tags}}