HADOOP-11380. Restore Rack Awareness documenation (aw)

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Allen Wittenauer 2014-12-15 11:36:25 -08:00
parent 42d8858c5d
commit e8a67bed10
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@ -367,6 +367,8 @@ Trunk (Unreleased)
HADOOP-11296. hadoop-daemons.sh throws 'host1: bash: host3: HADOOP-11296. hadoop-daemons.sh throws 'host1: bash: host3:
command not found...' (vinayakumarb) command not found...' (vinayakumarb)
HADOOP-11380. Restore Rack Awareness documenation (aw)
OPTIMIZATIONS OPTIMIZATIONS
HADOOP-7761. Improve the performance of raw comparisons. (todd) HADOOP-7761. Improve the performance of raw comparisons. (todd)

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~~ Licensed under the Apache License, Version 2.0 (the "License");
~~ you may not use this file except in compliance with the License.
~~ You may obtain a copy of the License at
~~
~~ http://www.apache.org/licenses/LICENSE-2.0
~~
~~ Unless required by applicable law or agreed to in writing, software
~~ distributed under the License is distributed on an "AS IS" BASIS,
~~ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
~~ See the License for the specific language governing permissions and
~~ limitations under the License. See accompanying LICENSE file.
---
Hadoop ${project.version} - Rack Awareness
---
---
${maven.build.timestamp}
%{toc|section=1|fromDepth=0}
Rack Awareness
Hadoop components are rack-aware. For example, HDFS block placement will
use rack awareness for fault tolerance by placing one block replica on a
different rack. This provides data availability in the event of a network
switch failure or partition within the cluster.
Hadoop master daemons obtain the rack id of the cluster slaves by invoking
either an external script or java class as specified by configuration files.
Using either the java class or external script for topology, output must
adhere to the java <<org.apache.hadoop.net.DNSToSwitchMapping>>
interface. The interface expects a one-to-one correspondence to be
maintained and the topology information in the format of '/myrack/myhost',
where '/' is the topology delimiter, 'myrack' is the rack identifier, and
'myhost' is the individual host. Assuming a single /24 subnet per rack,
one could use the format of '/192.168.100.0/192.168.100.5' as a
unique rack-host topology mapping.
To use the java class for topology mapping, the class name is specified by
the <<topology.node.switch.mapping.impl>> parameter in the configuration
file. An example, NetworkTopology.java, is included with the hadoop
distribution and can be customized by the Hadoop administrator. Using a
Java class instead of an external script has a performance benefit in
that Hadoop doesn't need to fork an external process when a new slave node
registers itself.
If implementing an external script, it will be specified with the
<<topology.script.file.name>> parameter in the configuration files. Unlike
the java class, the external topology script is not included with the Hadoop
distribution and is provided by the administrator. Hadoop will send
multiple IP addresses to ARGV when forking the topology script. The
number of IP addresses sent to the topology script is controlled with
<<net.topology.script.number.args>> and defaults to 100. If
<<net.topology.script.number.args>> was changed to 1, a topology script
would get forked for each IP submitted by DataNodes and/or NodeManagers.
If <<topology.script.file.name>> or <<topology.node.switch.mapping.impl>> is
not set, the rack id '/default-rack' is returned for any passed IP address.
While this behavior appears desirable, it can cause issues with HDFS block
replication as default behavior is to write one replicated block off rack
and is unable to do so as there is only a single rack named '/default-rack'.
An additional configuration setting is
<<mapreduce.jobtracker.taskcache.levels>> which determines the number of
levels (in the network topology) of caches MapReduce will use. So, for
example, if it is the default value of 2, two levels of caches will be
constructed - one for hosts (host -> task mapping) and another for racks
(rack -> task mapping). Giving us our one-to-one mapping of '/myrack/myhost'.
* {python Example}
+-------------------------------+
#!/usr/bin/python
# this script makes assumptions about the physical environment.
# 1) each rack is its own layer 3 network with a /24 subnet, which
# could be typical where each rack has its own
# switch with uplinks to a central core router.
#
# +-----------+
# |core router|
# +-----------+
# / \
# +-----------+ +-----------+
# |rack switch| |rack switch|
# +-----------+ +-----------+
# | data node | | data node |
# +-----------+ +-----------+
# | data node | | data node |
# +-----------+ +-----------+
#
# 2) topology script gets list of IP's as input, calculates network address, and prints '/network_address/ip'.
import netaddr
import sys
sys.argv.pop(0) # discard name of topology script from argv list as we just want IP addresses
netmask = '255.255.255.0' # set netmask to what's being used in your environment. The example uses a /24
for ip in sys.argv: # loop over list of datanode IP's
address = '{0}/{1}'.format(ip, netmask) # format address string so it looks like 'ip/netmask' to make netaddr work
try:
network_address = netaddr.IPNetwork(address).network # calculate and print network address
print "/{0}".format(network_address)
except:
print "/rack-unknown" # print catch-all value if unable to calculate network address
+-------------------------------+
* {bash Example}
+-------------------------------+
#!/bin/bash
# Here's a bash example to show just how simple these scripts can be
# Assuming we have flat network with everything on a single switch, we can fake a rack topology.
# This could occur in a lab environment where we have limited nodes,like 2-8 physical machines on a unmanaged switch.
# This may also apply to multiple virtual machines running on the same physical hardware.
# The number of machines isn't important, but that we are trying to fake a network topology when there isn't one.
#
# +----------+ +--------+
# |jobtracker| |datanode|
# +----------+ +--------+
# \ /
# +--------+ +--------+ +--------+
# |datanode|--| switch |--|datanode|
# +--------+ +--------+ +--------+
# / \
# +--------+ +--------+
# |datanode| |namenode|
# +--------+ +--------+
#
# With this network topology, we are treating each host as a rack. This is being done by taking the last octet
# in the datanode's IP and prepending it with the word '/rack-'. The advantage for doing this is so HDFS
# can create its 'off-rack' block copy.
# 1) 'echo $@' will echo all ARGV values to xargs.
# 2) 'xargs' will enforce that we print a single argv value per line
# 3) 'awk' will split fields on dots and append the last field to the string '/rack-'. If awk
# fails to split on four dots, it will still print '/rack-' last field value
echo $@ | xargs -n 1 | awk -F '.' '{print "/rack-"$NF}'
+-------------------------------+