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HDFS-7201. Fix typos in hdfs-default.xml. Contributed by Dawson Choong.

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This commit is contained in:
Haohui Mai 2014-10-14 17:36:07 -07:00
parent cdce88376a
commit 0260231667
2 changed files with 8 additions and 6 deletions
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2
hadoop-hdfs-project/hadoop-hdfs/CHANGES.txt
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@ -394,6 +394,8 @@ Release 2.7.0 - UNRELEASED
HDFS-6657. Remove link to 'Legacy UI' in trunk's Namenode UI.
(Vinayakumar B via wheat)
HDFS-7201. Fix typos in hdfs-default.xml. (Dawson Choong via wheat9)
Release 2.6.0 - UNRELEASED
INCOMPATIBLE CHANGES

12
hadoop-hdfs-project/hadoop-hdfs/src/main/resources/hdfs-default.xml
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@ -752,7 +752,7 @@
<name>dfs.namenode.replication.interval</name>
<value>3</value>
<description>The periodicity in seconds with which the namenode computes
repliaction work for datanodes. </description>
replication work for datanodes. </description>
</property>
<property>
@ -826,8 +826,8 @@
<value>${dfs.namenode.checkpoint.dir}</value>
<description>Determines where on the local filesystem the DFS secondary
name node should store the temporary edits to merge.
If this is a comma-delimited list of directoires then teh edits is
replicated in all of the directoires for redundancy.
If this is a comma-delimited list of directories then the edits is
replicated in all of the directories for redundancy.
Default value is same as dfs.namenode.checkpoint.dir
</description>
</property>
@ -958,7 +958,7 @@
dfs.image.transfer.bandwidthPerSec parameter should be configured such
that normal image transfer can complete successfully.
This timeout prevents client hangs when the sender fails during
image transfer. This is socket timeout during image tranfer.
image transfer. This is socket timeout during image transfer.
</description>
</property>
@ -1035,7 +1035,7 @@
(e.g HBase random-IO workloads).
This may improve performance for some workloads by freeing buffer
cache spage usage for more cacheable data.
cache space usage for more cacheable data.
If the Hadoop native libraries are not available, this configuration
has no effect.
@ -1053,7 +1053,7 @@
after it is written to disk.
This may improve performance for some workloads by freeing buffer
cache spage usage for more cacheable data.
cache space usage for more cacheable data.
If the Hadoop native libraries are not available, this configuration
has no effect.