diff --git a/src/docbkx/configuration.xml b/src/docbkx/configuration.xml index 1459dbf7c62..7de8a66a79a 100644 --- a/src/docbkx/configuration.xml +++ b/src/docbkx/configuration.xml @@ -210,11 +210,11 @@ to ensure well-formedness of your document after an edit session. This version of HBase will only run on Hadoop - 0.20.x. 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. 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 sync. 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 dfs.support.append equal to true on both the client side -- in hbase-site.xml though it should @@ -245,8 +245,7 @@ to ensure well-formedness of your document after an edit session. Cloudera' CDH3 is Apache Hadoop 0.20.x plus patches including all of the branch-0.20-append - additions needed to add a durable sync. Use the released version of CDH3 at least (They - have just posted an update). + additions needed to add a durable sync. Use the released, most recent version of CDH3. MapR includes a commercial, reimplementation of HDFS. @@ -256,9 +255,7 @@ to ensure well-formedness of your document after an edit session. Because HBase depends on Hadoop, it bundles an instance of the - Hadoop jar under its lib 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 lib directory. The bundled jar is ONLY for use in standalone mode. In distributed mode, it is critical that the version of Hadoop that is out on your cluster match what is under HBase. Replace the hadoop jar found in the HBase lib directory with the hadoop jar you are running on