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Edit of our hadoop versions section 

git-svn-id: https://svn.apache.org/repos/asf/hbase/trunk@1204037 13f79535-47bb-0310-9956-ffa450edef68
This commit is contained in:
Michael Stack 2011-11-19 18:41:22 +00:00
parent 39d7828814
commit b4c79fc418
1 changed files with 5 additions and 8 deletions
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13
src/docbkx/configuration.xml
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@ -210,11 +210,11 @@ to ensure well-formedness of your document after an edit session.
<para>
This version of HBase will only run on <link
xlink:href="http://hadoop.apache.org/common/releases.html">Hadoop
0.20.x</link>. It will not run on hadoop 0.21.x (nor 0.22.x).
HBase will lose data unless it is running on an HDFS that have a durable
0.20.x</link>. It will not run on hadoop 0.21.x (but may run on 0.22.x/0.23.x).
HBase will lose data unless it is running on an HDFS that has a durable
<code>sync</code>. Hadoop 0.20.2, Hadoop 0.20.203.0, and Hadoop 0.20.204.0
DO NOT have this attribute.
Currently only Hadoop versions 0.20.205.0 or any release in excess of this
Currently only Hadoop versions 0.20.205.x or any release in excess of this
version has a durable sync. You have to explicitly enable it though by
setting <varname>dfs.support.append</varname> equal to true on both
the client side -- in <filename>hbase-site.xml</filename> though it should
@ -245,8 +245,7 @@ to ensure well-formedness of your document after an edit session.
Cloudera' <link xlink:href="http://archive.cloudera.com/docs/">CDH3</link>
is Apache Hadoop 0.20.x plus patches including all of the
<link xlink:href="http://svn.apache.org/viewvc/hadoop/common/branches/branch-0.20-append/">branch-0.20-append</link>
additions needed to add a durable sync. Use the released version of CDH3 at least (They
have just posted an update).</para>
additions needed to add a durable sync. Use the released, most recent version of CDH3.</para>
<para>
<link xlink:href="http://www.mapr.com/">MapR</link>
includes a commercial, reimplementation of HDFS.
@ -256,9 +255,7 @@ to ensure well-formedness of your document after an edit session.
</para>
<para>Because HBase depends on Hadoop, it bundles an instance of the
Hadoop jar under its <filename>lib</filename> directory. The bundled
Hadoop was made from the Apache branch-0.20-append branch at the time
of the HBase's release. The bundled jar is ONLY for use in standalone mode.
Hadoop jar under its <filename>lib</filename> directory. The bundled jar is ONLY for use in standalone mode.
In distributed mode, it is <emphasis>critical</emphasis> that the version of Hadoop that is out
on your cluster match what is under HBase. Replace the hadoop jar found in the HBase
<filename>lib</filename> directory with the hadoop jar you are running on