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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 Distributed File System-${project.version} - High Availability
---
---
${maven.build.timestamp}
HDFS High Availability Using the Quorum Journal Manager
\[ {{{./index.html}Go Back}} \]
%{toc|section=1|fromDepth=0}
* {Purpose}
This guide provides an overview of the HDFS High Availability (HA) feature
and how to configure and manage an HA HDFS cluster, using the Quorum Journal
Manager (QJM) feature.
This document assumes that the reader has a general understanding of
general components and node types in an HDFS cluster. Please refer to the
HDFS Architecture guide for details.
* {Note: Using the Quorum Journal Manager or Conventional Shared Storage}
This guide discusses how to configure and use HDFS HA using the Quorum
Journal Manager (QJM) to share edit logs between the Active and Standby
NameNodes. For information on how to configure HDFS HA using NFS for shared
storage instead of the QJM, please see
{{{./HDFSHighAvailabilityWithNFS.html}this alternative guide.}}
* {Background}
Prior to Hadoop 2.0.0, the NameNode was a single point of failure (SPOF) in
an HDFS cluster. Each cluster had a single NameNode, and if that machine or
process became unavailable, the cluster as a whole would be unavailable
until the NameNode was either restarted or brought up on a separate machine.
This impacted the total availability of the HDFS cluster in two major ways:
* In the case of an unplanned event such as a machine crash, the cluster would
be unavailable until an operator restarted the NameNode.
* Planned maintenance events such as software or hardware upgrades on the
NameNode machine would result in windows of cluster downtime.
The HDFS High Availability feature addresses the above problems by providing
the option of running two redundant NameNodes in the same cluster in an
Active/Passive configuration with a hot standby. This allows a fast failover to
a new NameNode in the case that a machine crashes, or a graceful
administrator-initiated failover for the purpose of planned maintenance.
* {Architecture}
In a typical HA cluster, two separate machines are configured as NameNodes.
At any point in time, exactly one of the NameNodes is in an <Active> state,
and the other is in a <Standby> state. The Active NameNode is responsible
for all client operations in the cluster, while the Standby is simply acting
as a slave, maintaining enough state to provide a fast failover if
necessary.
In order for the Standby node to keep its state synchronized with the Active
node, both nodes communicate with a group of separate daemons called
"JournalNodes" (JNs). When any namespace modification is performed by the
Active node, it durably logs a record of the modification to a majority of
these JNs. The Standby node is capable of reading the edits from the JNs, and
is constantly watching them for changes to the edit log. As the Standby Node
sees the edits, it applies them to its own namespace. In the event of a
failover, the Standby will ensure that it has read all of the edits from the
JounalNodes before promoting itself to the Active state. This ensures that the
namespace state is fully synchronized before a failover occurs.
In order to provide a fast failover, it is also necessary that the Standby node
have up-to-date information regarding the location of blocks in the cluster.
In order to achieve this, the DataNodes are configured with the location of
both NameNodes, and send block location information and heartbeats to both.
It is vital for the correct operation of an HA cluster that only one of the
NameNodes be Active at a time. Otherwise, the namespace state would quickly
diverge between the two, risking data loss or other incorrect results. In
order to ensure this property and prevent the so-called "split-brain scenario,"
the JournalNodes will only ever allow a single NameNode to be a writer at a
time. During a failover, the NameNode which is to become active will simply
take over the role of writing to the JournalNodes, which will effectively
prevent the other NameNode from continuing in the Active state, allowing the
new Active to safely proceed with failover.
* {Hardware resources}
In order to deploy an HA cluster, you should prepare the following:
* <<NameNode machines>> - the machines on which you run the Active and
Standby NameNodes should have equivalent hardware to each other, and
equivalent hardware to what would be used in a non-HA cluster.
* <<JournalNode machines>> - the machines on which you run the JournalNodes.
The JournalNode daemon is relatively lightweight, so these daemons may
reasonably be collocated on machines with other Hadoop daemons, for example
NameNodes, the JobTracker, or the YARN ResourceManager. <<Note:>> There
must be at least 3 JournalNode daemons, since edit log modifications must be
written to a majority of JNs. This will allow the system to tolerate the
failure of a single machine. You may also run more than 3 JournalNodes, but
in order to actually increase the number of failures the system can tolerate,
you should run an odd number of JNs, (i.e. 3, 5, 7, etc.). Note that when
running with N JournalNodes, the system can tolerate at most (N - 1) / 2
failures and continue to function normally.
Note that, in an HA cluster, the Standby NameNode also performs checkpoints of
the namespace state, and thus it is not necessary to run a Secondary NameNode,
CheckpointNode, or BackupNode in an HA cluster. In fact, to do so would be an
error. This also allows one who is reconfiguring a non-HA-enabled HDFS cluster
to be HA-enabled to reuse the hardware which they had previously dedicated to
the Secondary NameNode.
* {Deployment}
** Configuration overview
Similar to Federation configuration, HA configuration is backward compatible
and allows existing single NameNode configurations to work without change.
The new configuration is designed such that all the nodes in the cluster may
have the same configuration without the need for deploying different
configuration files to different machines based on the type of the node.
Like HDFS Federation, HA clusters reuse the <<<nameservice ID>>> to identify a
single HDFS instance that may in fact consist of multiple HA NameNodes. In
addition, a new abstraction called <<<NameNode ID>>> is added with HA. Each
distinct NameNode in the cluster has a different NameNode ID to distinguish it.
To support a single configuration file for all of the NameNodes, the relevant
configuration parameters are suffixed with the <<nameservice ID>> as well as
the <<NameNode ID>>.
** Configuration details
To configure HA NameNodes, you must add several configuration options to your
<<hdfs-site.xml>> configuration file.
The order in which you set these configurations is unimportant, but the values
you choose for <<dfs.nameservices>> and
<<dfs.ha.namenodes.[nameservice ID]>> will determine the keys of those that
follow. Thus, you should decide on these values before setting the rest of the
configuration options.
* <<dfs.nameservices>> - the logical name for this new nameservice
Choose a logical name for this nameservice, for example "mycluster", and use
this logical name for the value of this config option. The name you choose is
arbitrary. It will be used both for configuration and as the authority
component of absolute HDFS paths in the cluster.
<<Note:>> If you are also using HDFS Federation, this configuration setting
should also include the list of other nameservices, HA or otherwise, as a
comma-separated list.
----
<property>
<name>dfs.nameservices</name>
<value>mycluster</value>
</property>
----
* <<dfs.ha.namenodes.[nameservice ID]>> - unique identifiers for each NameNode in the nameservice
Configure with a list of comma-separated NameNode IDs. This will be used by
DataNodes to determine all the NameNodes in the cluster. For example, if you
used "mycluster" as the nameservice ID previously, and you wanted to use "nn1"
and "nn2" as the individual IDs of the NameNodes, you would configure this as
such:
----
<property>
<name>dfs.ha.namenodes.mycluster</name>
<value>nn1,nn2</value>
</property>
----
<<Note:>> Currently, only a maximum of two NameNodes may be configured per
nameservice.
* <<dfs.namenode.rpc-address.[nameservice ID].[name node ID]>> - the fully-qualified RPC address for each NameNode to listen on
For both of the previously-configured NameNode IDs, set the full address and
IPC port of the NameNode processs. Note that this results in two separate
configuration options. For example:
----
<property>
<name>dfs.namenode.rpc-address.mycluster.nn1</name>
<value>machine1.example.com:8020</value>
</property>
<property>
<name>dfs.namenode.rpc-address.mycluster.nn2</name>
<value>machine2.example.com:8020</value>
</property>
----
<<Note:>> You may similarly configure the "<<servicerpc-address>>" setting if
you so desire.
* <<dfs.namenode.http-address.[nameservice ID].[name node ID]>> - the fully-qualified HTTP address for each NameNode to listen on
Similarly to <rpc-address> above, set the addresses for both NameNodes' HTTP
servers to listen on. For example:
----
<property>
<name>dfs.namenode.http-address.mycluster.nn1</name>
<value>machine1.example.com:50070</value>
</property>
<property>
<name>dfs.namenode.http-address.mycluster.nn2</name>
<value>machine2.example.com:50070</value>
</property>
----
<<Note:>> If you have Hadoop's security features enabled, you should also set
the <https-address> similarly for each NameNode.
* <<dfs.namenode.shared.edits.dir>> - the URI which identifies the group of JNs where the NameNodes will write/read edits
This is where one configures the addresses of the JournalNodes which provide
the shared edits storage, written to by the Active nameNode and read by the
Standby NameNode to stay up-to-date with all the file system changes the Active
NameNode makes. Though you must specify several JournalNode addresses,
<<you should only configure one of these URIs.>> The URI should be of the form:
"qjournal://<host1:port1>;<host2:port2>;<host3:port3>/<journalId>". The Journal
ID is a unique identifier for this nameservice, which allows a single set of
JournalNodes to provide storage for multiple federated namesystems. Though not
a requirement, it's a good idea to reuse the nameservice ID for the journal
identifier.
For example, if the JournalNodes for this cluster were running on the
machines "node1.example.com", "node2.example.com", and "node3.example.com" and
the nameservice ID were "mycluster", you would use the following as the value
for this setting (the default port for the JournalNode is 8485):
----
<property>
<name>dfs.namenode.shared.edits.dir</name>
<value>qjournal://node1.example.com:8485;node2.example.com:8485;node3.example.com:8485/mycluster</value>
</property>
----
* <<dfs.client.failover.proxy.provider.[nameservice ID]>> - the Java class that HDFS clients use to contact the Active NameNode
Configure the name of the Java class which will be used by the DFS Client to
determine which NameNode is the current Active, and therefore which NameNode is
currently serving client requests. The only implementation which currently
ships with Hadoop is the <<ConfiguredFailoverProxyProvider>>, so use this
unless you are using a custom one. For example:
----
<property>
<name>dfs.client.failover.proxy.provider.mycluster</name>
<value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value>
</property>
----
* <<dfs.ha.fencing.methods>> - a list of scripts or Java classes which will be used to fence the Active NameNode during a failover
It is desirable for correctness of the system that only one NameNode be in
the Active state at any given time. <<Importantly, when using the Quorum
Journal Manager, only one NameNode will ever be allowed to write to the
JournalNodes, so there is no potential for corrupting the file system metadata
from a split-brain scenario.>> However, when a failover occurs, it is still
possible that the previous Active NameNode could serve read requests to
clients, which may be out of date until that NameNode shuts down when trying to
write to the JournalNodes. For this reason, it is still desirable to configure
some fencing methods even when using the Quorum Journal Manager. However, to
improve the availability of the system in the event the fencing mechanisms
fail, it is advisable to configure a fencing method which is guaranteed to
return success as the last fencing method in the list. Note that if you choose
to use no actual fencing methods, you still must configure something for this
setting, for example "<<<shell(/bin/true)>>>".
The fencing methods used during a failover are configured as a
carriage-return-separated list, which will be attempted in order until one
indicates that fencing has succeeded. There are two methods which ship with
Hadoop: <shell> and <sshfence>. For information on implementing your own custom
fencing method, see the <org.apache.hadoop.ha.NodeFencer> class.
* <<sshfence>> - SSH to the Active NameNode and kill the process
The <sshfence> option SSHes to the target node and uses <fuser> to kill the
process listening on the service's TCP port. In order for this fencing option
to work, it must be able to SSH to the target node without providing a
passphrase. Thus, one must also configure the
<<dfs.ha.fencing.ssh.private-key-files>> option, which is a
comma-separated list of SSH private key files. For example:
---
<property>
<name>dfs.ha.fencing.methods</name>
<value>sshfence</value>
</property>
<property>
<name>dfs.ha.fencing.ssh.private-key-files</name>
<value>/home/exampleuser/.ssh/id_rsa</value>
</property>
---
Optionally, one may configure a non-standard username or port to perform the
SSH. One may also configure a timeout, in milliseconds, for the SSH, after
which this fencing method will be considered to have failed. It may be
configured like so:
---
<property>
<name>dfs.ha.fencing.methods</name>
<value>sshfence([[username][:port]])</value>
</property>
<property>
<name>dfs.ha.fencing.ssh.connect-timeout</name>
<value>30000</value>
</property>
---
* <<shell>> - run an arbitrary shell command to fence the Active NameNode
The <shell> fencing method runs an arbitrary shell command. It may be
configured like so:
---
<property>
<name>dfs.ha.fencing.methods</name>
<value>shell(/path/to/my/script.sh arg1 arg2 ...)</value>
</property>
---
The string between '(' and ')' is passed directly to a bash shell and may not
include any closing parentheses.
The shell command will be run with an environment set up to contain all of the
current Hadoop configuration variables, with the '_' character replacing any
'.' characters in the configuration keys. The configuration used has already had
any namenode-specific configurations promoted to their generic forms -- for example
<<dfs_namenode_rpc-address>> will contain the RPC address of the target node, even
though the configuration may specify that variable as
<<dfs.namenode.rpc-address.ns1.nn1>>.
Additionally, the following variables referring to the target node to be fenced
are also available:
*-----------------------:-----------------------------------+
| $target_host | hostname of the node to be fenced |
*-----------------------:-----------------------------------+
| $target_port | IPC port of the node to be fenced |
*-----------------------:-----------------------------------+
| $target_address | the above two, combined as host:port |
*-----------------------:-----------------------------------+
| $target_nameserviceid | the nameservice ID of the NN to be fenced |
*-----------------------:-----------------------------------+
| $target_namenodeid | the namenode ID of the NN to be fenced |
*-----------------------:-----------------------------------+
These environment variables may also be used as substitutions in the shell
command itself. For example:
---
<property>
<name>dfs.ha.fencing.methods</name>
<value>shell(/path/to/my/script.sh --nameservice=$target_nameserviceid $target_host:$target_port)</value>
</property>
---
If the shell command returns an exit
code of 0, the fencing is determined to be successful. If it returns any other
exit code, the fencing was not successful and the next fencing method in the
list will be attempted.
<<Note:>> This fencing method does not implement any timeout. If timeouts are
necessary, they should be implemented in the shell script itself (eg by forking
a subshell to kill its parent in some number of seconds).
* <<fs.defaultFS>> - the default path prefix used by the Hadoop FS client when none is given
Optionally, you may now configure the default path for Hadoop clients to use
the new HA-enabled logical URI. If you used "mycluster" as the nameservice ID
earlier, this will be the value of the authority portion of all of your HDFS
paths. This may be configured like so, in your <<core-site.xml>> file:
---
<property>
<name>fs.defaultFS</name>
<value>hdfs://mycluster</value>
</property>
---
* <<dfs.journalnode.edits.dir>> - the path where the JournalNode daemon will store its local state
This is the absolute path on the JournalNode machines where the edits and
other local state used by the JNs will be stored. You may only use a single
path for this configuration. Redundancy for this data is provided by running
multiple separate JournalNodes, or by configuring this directory on a
locally-attached RAID array. For example:
---
<property>
<name>dfs.journalnode.edits.dir</name>
<value>/path/to/journal/node/local/data</value>
</property>
---
** Deployment details
After all of the necessary configuration options have been set, you must
start the JournalNode daemons on the set of machines where they will run. This
can be done by running the command "<hdfs-daemon.sh journalnode>" and waiting
for the daemon to start on each of the relevant machines.
Once the JournalNodes have been started, one must initially synchronize the
two HA NameNodes' on-disk metadata.
* If you are setting up a fresh HDFS cluster, you should first run the format
command (<hdfs namenode -format>) on one of NameNodes.
* If you have already formatted the NameNode, or are converting a
non-HA-enabled cluster to be HA-enabled, you should now copy over the
contents of your NameNode metadata directories to the other, unformatted
NameNode by running the command "<hdfs namenode -bootstrapStandby>" on the
unformatted NameNode. Running this command will also ensure that the
JournalNodes (as configured by <<dfs.namenode.shared.edits.dir>>) contain
sufficient edits transactions to be able to start both NameNodes.
* If you are converting a non-HA NameNode to be HA, you should run the
command "<hdfs -initializeSharedEdits>", which will initialize the
JournalNodes with the edits data from the local NameNode edits directories.
At this point you may start both of your HA NameNodes as you normally would
start a NameNode.
You can visit each of the NameNodes' web pages separately by browsing to their
configured HTTP addresses. You should notice that next to the configured
address will be the HA state of the NameNode (either "standby" or "active".)
Whenever an HA NameNode starts, it is initially in the Standby state.
** Administrative commands
Now that your HA NameNodes are configured and started, you will have access
to some additional commands to administer your HA HDFS cluster. Specifically,
you should familiarize yourself with all of the subcommands of the "<hdfs
haadmin>" command. Running this command without any additional arguments will
display the following usage information:
---
Usage: DFSHAAdmin [-ns <nameserviceId>]
[-transitionToActive <serviceId>]
[-transitionToStandby <serviceId>]
[-failover [--forcefence] [--forceactive] <serviceId> <serviceId>]
[-getServiceState <serviceId>]
[-checkHealth <serviceId>]
[-help <command>]
---
This guide describes high-level uses of each of these subcommands. For
specific usage information of each subcommand, you should run "<hdfs haadmin
-help <command>>".
* <<transitionToActive>> and <<transitionToStandby>> - transition the state of the given NameNode to Active or Standby
These subcommands cause a given NameNode to transition to the Active or Standby
state, respectively. <<These commands do not attempt to perform any fencing,
and thus should rarely be used.>> Instead, one should almost always prefer to
use the "<hdfs haadmin -failover>" subcommand.
* <<failover>> - initiate a failover between two NameNodes
This subcommand causes a failover from the first provided NameNode to the
second. If the first NameNode is in the Standby state, this command simply
transitions the second to the Active state without error. If the first NameNode
is in the Active state, an attempt will be made to gracefully transition it to
the Standby state. If this fails, the fencing methods (as configured by
<<dfs.ha.fencing.methods>>) will be attempted in order until one
succeeds. Only after this process will the second NameNode be transitioned to
the Active state. If no fencing method succeeds, the second NameNode will not
be transitioned to the Active state, and an error will be returned.
* <<getServiceState>> - determine whether the given NameNode is Active or Standby
Connect to the provided NameNode to determine its current state, printing
either "standby" or "active" to STDOUT appropriately. This subcommand might be
used by cron jobs or monitoring scripts which need to behave differently based
on whether the NameNode is currently Active or Standby.
* <<checkHealth>> - check the health of the given NameNode
Connect to the provided NameNode to check its health. The NameNode is capable
of performing some diagnostics on itself, including checking if internal
services are running as expected. This command will return 0 if the NameNode is
healthy, non-zero otherwise. One might use this command for monitoring
purposes.
<<Note:>> This is not yet implemented, and at present will always return
success, unless the given NameNode is completely down.
* {Automatic Failover}
** Introduction
The above sections describe how to configure manual failover. In that mode,
the system will not automatically trigger a failover from the active to the
standby NameNode, even if the active node has failed. This section describes
how to configure and deploy automatic failover.
** Components
Automatic failover adds two new components to an HDFS deployment: a ZooKeeper
quorum, and the ZKFailoverController process (abbreviated as ZKFC).
Apache ZooKeeper is a highly available service for maintaining small amounts
of coordination data, notifying clients of changes in that data, and
monitoring clients for failures. The implementation of automatic HDFS failover
relies on ZooKeeper for the following things:
* <<Failure detection>> - each of the NameNode machines in the cluster
maintains a persistent session in ZooKeeper. If the machine crashes, the
ZooKeeper session will expire, notifying the other NameNode that a failover
should be triggered.
* <<Active NameNode election>> - ZooKeeper provides a simple mechanism to
exclusively elect a node as active. If the current active NameNode crashes,
another node may take a special exclusive lock in ZooKeeper indicating that
it should become the next active.
The ZKFailoverController (ZKFC) is a new component which is a ZooKeeper client
which also monitors and manages the state of the NameNode. Each of the
machines which runs a NameNode also runs a ZKFC, and that ZKFC is responsible
for:
* <<Health monitoring>> - the ZKFC pings its local NameNode on a periodic
basis with a health-check command. So long as the NameNode responds in a
timely fashion with a healthy status, the ZKFC considers the node
healthy. If the node has crashed, frozen, or otherwise entered an unhealthy
state, the health monitor will mark it as unhealthy.
* <<ZooKeeper session management>> - when the local NameNode is healthy, the
ZKFC holds a session open in ZooKeeper. If the local NameNode is active, it
also holds a special "lock" znode. This lock uses ZooKeeper's support for
"ephemeral" nodes; if the session expires, the lock node will be
automatically deleted.
* <<ZooKeeper-based election>> - if the local NameNode is healthy, and the
ZKFC sees that no other node currently holds the lock znode, it will itself
try to acquire the lock. If it succeeds, then it has "won the election", and
is responsible for running a failover to make its local NameNode active. The
failover process is similar to the manual failover described above: first,
the previous active is fenced if necessary, and then the local NameNode
transitions to active state.
For more details on the design of automatic failover, refer to the design
document attached to HDFS-2185 on the Apache HDFS JIRA.
** Deploying ZooKeeper
In a typical deployment, ZooKeeper daemons are configured to run on three or
five nodes. Since ZooKeeper itself has light resource requirements, it is
acceptable to collocate the ZooKeeper nodes on the same hardware as the HDFS
NameNode and Standby Node. Many operators choose to deploy the third ZooKeeper
process on the same node as the YARN ResourceManager. It is advisable to
configure the ZooKeeper nodes to store their data on separate disk drives from
the HDFS metadata for best performance and isolation.
The setup of ZooKeeper is out of scope for this document. We will assume that
you have set up a ZooKeeper cluster running on three or more nodes, and have
verified its correct operation by connecting using the ZK CLI.
** Before you begin
Before you begin configuring automatic failover, you should shut down your
cluster. It is not currently possible to transition from a manual failover
setup to an automatic failover setup while the cluster is running.
** Configuring automatic failover
The configuration of automatic failover requires the addition of two new
parameters to your configuration. In your <<<hdfs-site.xml>>> file, add:
----
<property>
<name>dfs.ha.automatic-failover.enabled</name>
<value>true</value>
</property>
----
This specifies that the cluster should be set up for automatic failover.
In your <<<core-site.xml>>> file, add:
----
<property>
<name>ha.zookeeper.quorum</name>
<value>zk1.example.com:2181,zk2.example.com:2181,zk3.example.com:2181</value>
</property>
----
This lists the host-port pairs running the ZooKeeper service.
As with the parameters described earlier in the document, these settings may
be configured on a per-nameservice basis by suffixing the configuration key
with the nameservice ID. For example, in a cluster with federation enabled,
you can explicitly enable automatic failover for only one of the nameservices
by setting <<<dfs.ha.automatic-failover.enabled.my-nameservice-id>>>.
There are also several other configuration parameters which may be set to
control the behavior of automatic failover; however, they are not necessary
for most installations. Please refer to the configuration key specific
documentation for details.
** Initializing HA state in ZooKeeper
After the configuration keys have been added, the next step is to initialize
required state in ZooKeeper. You can do so by running the following command
from one of the NameNode hosts.
----
$ hdfs zkfc -formatZK
----
This will create a znode in ZooKeeper inside of which the automatic failover
system stores its data.
** Starting the cluster with <<<start-dfs.sh>>>
Since automatic failover has been enabled in the configuration, the
<<<start-dfs.sh>>> script will now automatically start a ZKFC daemon on any
machine that runs a NameNode. When the ZKFCs start, they will automatically
select one of the NameNodes to become active.
** Starting the cluster manually
If you manually manage the services on your cluster, you will need to manually
start the <<<zkfc>>> daemon on each of the machines that runs a NameNode. You
can start the daemon by running:
----
$ hadoop-daemon.sh start zkfc
----
** Securing access to ZooKeeper
If you are running a secure cluster, you will likely want to ensure that the
information stored in ZooKeeper is also secured. This prevents malicious
clients from modifying the metadata in ZooKeeper or potentially triggering a
false failover.
In order to secure the information in ZooKeeper, first add the following to
your <<<core-site.xml>>> file:
----
<property>
<name>ha.zookeeper.auth</name>
<value>@/path/to/zk-auth.txt</value>
</property>
<property>
<name>ha.zookeeper.acl</name>
<value>@/path/to/zk-acl.txt</value>
</property>
----
Please note the '@' character in these values -- this specifies that the
configurations are not inline, but rather point to a file on disk.
The first configured file specifies a list of ZooKeeper authentications, in
the same format as used by the ZK CLI. For example, you may specify something
like:
----
digest:hdfs-zkfcs:mypassword
----
...where <<<hdfs-zkfcs>>> is a unique username for ZooKeeper, and
<<<mypassword>>> is some unique string used as a password.
Next, generate a ZooKeeper ACL that corresponds to this authentication, using
a command like the following:
----
$ java -cp $ZK_HOME/lib/*:$ZK_HOME/zookeeper-3.4.2.jar org.apache.zookeeper.server.auth.DigestAuthenticationProvider hdfs-zkfcs:mypassword
output: hdfs-zkfcs:mypassword->hdfs-zkfcs:P/OQvnYyU/nF/mGYvB/xurX8dYs=
----
Copy and paste the section of this output after the '->' string into the file
<<<zk-acls.txt>>>, prefixed by the string "<<<digest:>>>". For example:
----
digest:hdfs-zkfcs:vlUvLnd8MlacsE80rDuu6ONESbM=:rwcda
----
In order for these ACLs to take effect, you should then rerun the
<<<zkfc -formatZK>>> command as described above.
After doing so, you may verify the ACLs from the ZK CLI as follows:
----
[zk: localhost:2181(CONNECTED) 1] getAcl /hadoop-ha
'digest,'hdfs-zkfcs:vlUvLnd8MlacsE80rDuu6ONESbM=
: cdrwa
----
** Verifying automatic failover
Once automatic failover has been set up, you should test its operation. To do
so, first locate the active NameNode. You can tell which node is active by
visiting the NameNode web interfaces -- each node reports its HA state at the
top of the page.
Once you have located your active NameNode, you may cause a failure on that
node. For example, you can use <<<kill -9 <pid of NN>>>> to simulate a JVM
crash. Or, you could power cycle the machine or unplug its network interface
to simulate a different kind of outage. After triggering the outage you wish
to test, the other NameNode should automatically become active within several
seconds. The amount of time required to detect a failure and trigger a
fail-over depends on the configuration of
<<<ha.zookeeper.session-timeout.ms>>>, but defaults to 5 seconds.
If the test does not succeed, you may have a misconfiguration. Check the logs
for the <<<zkfc>>> daemons as well as the NameNode daemons in order to further
diagnose the issue.
* Automatic Failover FAQ
* <<Is it important that I start the ZKFC and NameNode daemons in any
particular order?>>
No. On any given node you may start the ZKFC before or after its corresponding
NameNode.
* <<What additional monitoring should I put in place?>>
You should add monitoring on each host that runs a NameNode to ensure that the
ZKFC remains running. In some types of ZooKeeper failures, for example, the
ZKFC may unexpectedly exit, and should be restarted to ensure that the system
is ready for automatic failover.
Additionally, you should monitor each of the servers in the ZooKeeper
quorum. If ZooKeeper crashes, then automatic failover will not function.
* <<What happens if ZooKeeper goes down?>>
If the ZooKeeper cluster crashes, no automatic failovers will be triggered.
However, HDFS will continue to run without any impact. When ZooKeeper is
restarted, HDFS will reconnect with no issues.
* <<Can I designate one of my NameNodes as primary/preferred?>>
No. Currently, this is not supported. Whichever NameNode is started first will
become active. You may choose to start the cluster in a specific order such
that your preferred node starts first.
* <<How can I initiate a manual failover when automatic failover is
configured?>>
Even if automatic failover is configured, you may initiate a manual failover
using the same <<<hdfs haadmin>>> command. It will perform a coordinated
failover.
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