The hadoop package introduced new or modified debconf
templates. This is the perfect moment for a review to help the package
maintainer following the general suggested writing style and track
down typos and errors in the use of English language.
If someone wants to pick up this review, please answer to this mail,
in the mailing list, with an [ITR] (Intent To Review) label.
The templates file is attached.
To propose the file you reviewed for peer review, please send a [RFR]
(Request For Review) mail with the reviewed file attached...then a few
days later, when no more contributions come, a summary mail with a
[LCFC] (Last Chance For Comments) label.
Finally, after no more comments coming to the LCFC mail, you can send
the reviewed templates file as a bug report against the package.
Then, please notify the list with a last mail using a [BTS] label
with the bug number.
Helping the package maintainer to deal with induced translation
updates at that moment will be nice. If you're not comfortable with
that part of the process, please hand it off to a translator.
--
Template: hadoop-namenoded/format
Type: boolean
Default: false
_Description: Should the namenode's filesystem be formatted now?
The namenode manages the Hadoop Distributed FileSystem (HDFS). Like a
normal filesystem, it needs to be formatted prior to first use. If the
HDFS filesystem is not formatted, the namenode daemon will fail to
start.
.
This operation does not affect the normal filesystem on this
computer. If you're using HDFS for the first time and don't have data
from previous installations on this computer, it should be save to
proceed with yes.
.
You can later on format the filesystem yourself with
.
su -chadoop namenode -format hadoop
Source: hadoop
Section: java
Priority: optional
Maintainer: Debian Java Maintainers
pkg-java-maintain...@lists.alioth.debian.org
Uploaders: Thomas Koch thomas.k...@ymc.ch
Homepage: http://hadoop.apache.org
Vcs-Browser: http://git.debian.org/?p=pkg-java/hadoop.git
Vcs-Git: git://git.debian.org/pkg-java/hadoop.git
Standards-Version: 3.8.4
Build-Depends: debhelper (= 7.4.11), default-jdk, ant (= 1.6.0), javahelper
(= 0.28),
po-debconf,
libcommons-cli-java,
libcommons-codec-java,
libcommons-el-java,
libcommons-httpclient-java,
libcommons-io-java,
libcommons-logging-java,
libcommons-net-java,
libtomcat6-java,
libjetty-java (6),
libservlet2.5-java,
liblog4j1.2-java,
libslf4j-java,
libxmlenc-java,
liblucene2-java,
libhsqldb-java,
ant-optional,
javacc
Package: libhadoop-java
Architecture: all
Depends: ${misc:Depends},
libcommons-cli-java,
libcommons-codec-java,
libcommons-el-java,
libcommons-httpclient-java,
libcommons-io-java,
libcommons-logging-java,
libcommons-net-java,
libtomcat6-java,
libjetty-java (6),
libservlet2.5-java,
liblog4j1.2-java,
libslf4j-java,
libxmlenc-java
Suggests: libhsqldb-java
Description: software platform for processing vast amounts of data
This package contains the core java libraries.
Package: libhadoop-index-java
Architecture: all
Depends: ${misc:Depends}, libhadoop-java (= ${binary:Version}),
liblucene2-java
Description: Hadoop contrib to create lucene indexes
This contrib package provides a utility to build or update an index
using Map/Reduce.
.
A distributed index is partitioned into shards. Each shard corresponds
to a Lucene instance. org.apache.hadoop.contrib.index.main.UpdateIndex
contains the main() method which uses a Map/Reduce job to analyze documents
and update Lucene instances in parallel.
Package: hadoop-bin
Section: misc
Architecture: all
Depends: ${misc:Depends}, libhadoop-java (= ${binary:Version}),
default-jre-headless | java6-runtime-headless
Description: software platform for processing vast amounts of data
Hadoop is a software platform that lets one easily write and
run applications that process vast amounts of data.
.
Here's what makes Hadoop especially useful:
* Scalable: Hadoop can reliably store and process petabytes.
* Economical: It distributes the data and processing across clusters
of commonly available computers. These clusters can number
into the thousands of nodes.
* Efficient: By distributing the data, Hadoop can process it in parallel
on the nodes where the data is located. This makes it
extremely rapid.
* Reliable: Hadoop automatically maintains multiple copies of data and
automatically redeploys computing tasks based on failures.
.
Hadoop implements MapReduce, using the Hadoop Distributed File System (HDFS).
MapReduce divides applications into many small blocks of work. HDFS creates
multiple replicas of data blocks for reliability, placing them on compute
nodes around the cluster. MapReduce can then process the data where it is
located.
.
This package contains the hadoop shell interface. See the packages hadoop-.*d
for the hadoop daemons.
Package: hadoop-daemons-common
Section: misc
