source: hadoop-0.18.3/debian/control @ 51

Last change on this file since 51 was 51, checked in by jazz, 16 years ago
  • 修改 control:
    • 發現只相依 sun-java6-jre 會造成一些 error: Error: could not open `/usr/lib/jvm/java-6-sun-1.6.0.07/jre/lib/i386/jvm.cfg'
  • hadoop.postinst, hadoop.postrm, hadoop.prerm
    • 用來做建立 hdfsadm 使用者帳號, ssh-keygen, ssh key exchange (authorized_keys), namenode format, 啟動 namenode, datanode, tasktracker 等
File size: 1.5 KB
RevLine 
[50]1Source: hadoop
2Section: devel
3Priority: extra
4Maintainer: Jazz Yao-Tsung Wang <jazzwang.tw@gmail.com>
5Build-Depends: debhelper (>= 5)
6Standards-Version: 3.7.2
7
8Package: hadoop
9Architecture: any
[51]10Depends: ${shlibs:Depends}, ${misc:Depends}, sun-java6-jre, sun-java6-bin
11Suggests: sun-java6-jdk
[50]12Description: Apache Hadoop Core
13  .
14  Apache Hadoop Core is a software platform that lets one easily write and
15  run applications that process vast amounts of data.
16  .
17  Here's what makes Hadoop especially useful:
18   * Scalable: Hadoop can reliably store and process petabytes.
19   * Economical: It distributes the data and processing across clusters of
20                 commonly available computers. These clusters can number into
21                 the thousands of nodes.
22   * Efficient: By distributing the data, Hadoop can process it in parallel on
23                the nodes where the data is located. This makes it extremely
24                rapid.
25   * Reliable: Hadoop automatically maintains multiple copies of data and
26               automatically redeploys computing tasks based on failures.
27  .
28  Hadoop implements MapReduce, using the Hadoop Distributed File System (HDFS)
29  MapReduce divides applications into many small blocks of work. HDFS creates
30  multiple replicas of data blocks for reliability, placing them on compute
31  nodes around the cluster. MapReduce can then process the data where it is
32  located.
33  .
34  For more information about Hadoop, please see the Hadoop website.
35  http://hadoop.apache.org/
36
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