Apache Hadoop Goes Realtime at Facebook
Apache Hadoop Goes Realtime at Facebook Dhruba Borthakur Kannan Muthukkaruppan Karthik Ranganathan Samuel Rash Joydeep Sen Sarma Nicolas Spiegelberg Dmytro Molkov Rodrigo Schmidt Facebook {dhruba,jssarma,jgray,kannan, nicolas,hairong,kranganathan,dms, aravind.menon,rash,rodrigo, amitanand.s}@fb.com Jonathan Gray Hairong Kuang Aravind Menon Amitanand Aiyer ABSTRACT Facebook recently deployed Facebo
Hadoop Archive: File Compaction for HDFS · Yahoo! Hadoop Blog
Thanks to Tsz-Wo Nicholas Sze and Mahadev Konar for this article. The Problem of Many Small Files The Hadoop Distributed File System (HDFS) is designed to store and process large (terabytes) data sets. At Yahoo!, for example, a large production cluster may have 14 PB disk spaces and store 60 millions of files. However, storing a large number of small files in HDFS is inefficient. We call a file sm
Scalability of the Hadoop Distributed File System · Yahoo! Hadoop Blog
The bottom line is that we achieved the target in Petabytes and got close to the target in the number of files. But this is done with a smaller number of nodes and the need to support a workload close to 100,000 clients has not yet materialized. The question now is whether the goals are feasible with the current system architecture. Namespace Limitations HDFS is based on an architecture where the
1
リリース、障害情報などのサービスのお知らせ
最新の人気エントリーの配信
処理を実行中です
j次のブックマーク
k前のブックマーク
lあとで読む
eコメント一覧を開く
oページを開く
https://www.jeffshafer.com/publications/presentations/shafer-ispass2010-presentation.pdf
