Personal and Technical study guide: Nginx to hadoop hdfs with #fluentd
Nginx => hadoop HDFS using Fluentd Fluentd is a json everywhere log collector. It transmits logs as json streams so that log processing can be easily managed and processed. Hadoop HDFS is a distributed filesystem which can be used to store any amount of logs and run mapreduce jobs for faster log processing. We will be using fluent-webhdfs-plugin to send logs over to httpfs interface 1. Install had
Fluentd + Hadoop: Instant Big Data Collection | Architects Zone
Fluentd is a JSON-based, open-source log collector originally written at Treasure Data. Fluentd is specifically designed for solving big data collection problem. Many companies choose Hadoop Distributed Filesystem (HDFS) for big data storage. [1] Until recently, however, the only API interface was Java. This changed with the new WebHDFS interface, which allows users to interact with HDFS via HTTP.
Cloudera Blog
Enterprise IT leaders across industries are tasked with preparing their organizations for the technologies of the future – which is no simple task. With the use of AI exploding, Cloudera, in partnership with Researchscape, surveyed 600 IT leaders who work at companies with over 1,000 employees in the U.S., EMEA and APAC regions. The survey, […] Read blog post
fluent-plugin-hoop v0.1.0 released - たごもりすメモ
みんな大好き fluentd は素敵だと思うんだけどHDFSへの書き出しをするプラグインが無い！ なんで！ という全世界100万人のエンジニアの怨嗟の声が聞こえてきそうだったので、とりあえずどうにかするべく書いた fluent-plugin-hoop がだいたい動くようになったのでリリースした！ fluent-plugin-hoop | RubyGems.org | your community gem host tagomoris/fluent-plugin-hoop · GitHub → 公式リポジトリの仲間入りしました fluent/fluent-plugin-hoop · GitHub rubygems.org経由でリリースしてあるので gem install fluent-plugin-hoop で入ります。あとはなんだっけ、システム全体の環境に影響を与えたくなければ fluen
Rick Kazman | Shidler College of Business |
I am interested in the design and analysis of large, complex software-intensive systems. I care not only about the technical aspects of design but also the economic and social implications of design decisions. My research methods, tools, and books have been adopted and applied by governments and Fortune 500 companies around the world. According to Google Scholar and Microsoft Academic my books a
SequenceFileLogWriter (HBase 0.91.0-SNAPSHOT API)
org.apache.hadoop.hbase.regionserver.wal Class SequenceFileLogWriter java.lang.Object org.apache.hadoop.hbase.regionserver.wal.SequenceFileLogWriter All Implemented Interfaces: HLog.Writer public class SequenceFileLogWriterextends Objectimplements HLog.Writer Implementation of HLog.Writer that delegates to SequenceFile.Writer. Constructor Summary SequenceFileLogWriter(Class<? extends HLogKey> keyC
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
Hflush11
1 Append/Hflush/Read Design Hairong Kuang, Konstantin Shvachko, Nicholas Sze, Sanjay Radia, Robert Chansler Yahoo! HDFS team 08/06/2009 1. Design challenges With hflush, HDFS needs to make the last block of an unclosed file visible to readers. This presents two challenges: 1. Read consistency. At a given time different replicas of the last block may have different number of bytes. What read consis
Scalability of the Hadoop Distributed File System (Hadoop and Distributed Computing at Yahoo!)
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
Hadoop AvatarNode High Availability
Our Use-Case The Hadoop Distributed File System's (HDFS) NameNode is a single point of falure. This has been a major stumbling block in using HDFS for a 24x7 type of deployment. It has been a topic of discussion among a wide circle of engineers. I am part of a team that is operating a cluster of 1200 nodes and a total size of 12 PB. This cluster is currently running hadoop 0.20. The NameNode is co
HDFS Scribe Integration
It is finally here: you can configure the open source log-aggregator, scribe, to log data directly into the Hadoop distributed file system. Many Web 2.0 companies have to deploy a bunch of costly filers to capture weblogs being generated by their application. Currently, there is no option other than a costly filer because the write-rate for this stream is huge. The Hadoop-Scribe integration allows
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
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
scribe/src/HdfsFile.cpp at master · facebookarchive/scribe