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<?xml version="1.0"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
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<!--
OVERVIEW
The important configs. are listed near the top. You should change
at least the setting for hbase.tmp.dir. Other settings will change
dependent on whether you are running hbase in standalone mode or
distributed. See the hbase reference guide for requirements and
guidance making configuration.
This file does not contain all possible configurations. The file would be
much larger if it carried everything. The absent configurations will only be
found through source code reading. The idea is that such configurations are
exotic and only those who would go to the trouble of reading a particular
section in the code would be knowledgeable or invested enough in ever wanting
to alter such configurations, so we do not list them here. Listing all
possible configurations would overwhelm and obscure the important.
-->
<configuration>
<!--Configs you will likely change are listed here at the top of the file.
-->
<property >
<name>hbase.tmp.dir</name>
<value>${java.io.tmpdir}/hbase-${user.name}</value>
<description>Temporary directory on the local filesystem.
Change this setting to point to a location more permanent
than '/tmp', the usual resolve for java.io.tmpdir, as the
'/tmp' directory is cleared on machine restart.</description>
</property>
<property >
<name>hbase.rootdir</name>
<value>${hbase.tmp.dir}/hbase</value>
<description>The directory shared by region servers and into
which HBase persists. The URL should be 'fully-qualified'
to include the filesystem scheme. For example, to specify the
HDFS directory '/hbase' where the HDFS instance's namenode is
running at namenode.example.org on port 9000, set this value to:
hdfs://namenode.example.org:9000/hbase. By default, we write
to whatever ${hbase.tmp.dir} is set too -- usually /tmp --
so change this configuration or else all data will be lost on
machine restart.</description>
</property>
<property >
<name>hbase.cluster.distributed</name>
<value>false</value>
<description>The mode the cluster will be in. Possible values are
false for standalone mode and true for distributed mode. If
false, startup will run all HBase and ZooKeeper daemons together
in the one JVM.</description>
</property>
<property>
<name>hbase.zookeeper.quorum</name>
<!--Ideally we should be using a hostname here instead of IP address. Please refer to
https://issues.apache.org/jira/browse/HBASE-23764 for why we switched to IP address. Should be
changed once we fix the underlying ZK issue.-->
<value>127.0.0.1</value>
<description>Comma separated list of servers in the ZooKeeper ensemble
(This config. should have been named hbase.zookeeper.ensemble).
For example, "host1.mydomain.com,host2.mydomain.com,host3.mydomain.com".
By default this is set to localhost for local and pseudo-distributed modes
of operation. For a fully-distributed setup, this should be set to a full
list of ZooKeeper ensemble servers. If HBASE_MANAGES_ZK is set in hbase-env.sh
this is the list of servers which hbase will start/stop ZooKeeper on as
part of cluster start/stop. Client-side, we will take this list of
ensemble members and put it together with the hbase.zookeeper.property.clientPort
config. and pass it into zookeeper constructor as the connectString
parameter.</description>
</property>
<!--The above are the important configurations for getting hbase up
and running -->
<property>
<name>zookeeper.recovery.retry.maxsleeptime</name>
<value>60000</value>
<description>Max sleep time before retry zookeeper operations in milliseconds,
a max time is needed here so that sleep time won't grow unboundedly
</description>
</property>
<property>
<name>hbase.local.dir</name>
<value>${hbase.tmp.dir}/local/</value>
<description>Directory on the local filesystem to be used
as a local storage.</description>
</property>
<!--Master configurations-->
<property >
<name>hbase.master.port</name>
<value>16000</value>
<description>The port the HBase Master should bind to.</description>
</property>
<property>
<name>hbase.master.info.port</name>
<value>16010</value>
<description>The port for the HBase Master web UI.
Set to -1 if you do not want a UI instance run.</description>
</property>
<property>
<name>hbase.master.info.bindAddress</name>
<value>0.0.0.0</value>
<description>The bind address for the HBase Master web UI
</description>
</property>
<property>
<name>hbase.master.logcleaner.plugins</name>
<value>org.apache.hadoop.hbase.master.cleaner.TimeToLiveLogCleaner,org.apache.hadoop.hbase.master.cleaner.TimeToLiveProcedureWALCleaner,org.apache.hadoop.hbase.master.cleaner.TimeToLiveMasterLocalStoreWALCleaner</value>
<description>A comma-separated list of BaseLogCleanerDelegate invoked by
the LogsCleaner service. These WAL cleaners are called in order,
so put the cleaner that prunes the most files in front. To
implement your own BaseLogCleanerDelegate, just put it in HBase's classpath
and add the fully qualified class name here. Always add the above
default log cleaners in the list.</description>
</property>
<property>
<name>hbase.master.logcleaner.ttl</name>
<value>600000</value>
<description>How long a WAL remain in the archive ({hbase.rootdir}/oldWALs) directory,
after which it will be cleaned by a Master thread. The value is in milliseconds.</description>
</property>
<property>
<name>hbase.master.hfilecleaner.plugins</name>
<value>org.apache.hadoop.hbase.master.cleaner.TimeToLiveHFileCleaner,org.apache.hadoop.hbase.master.cleaner.TimeToLiveMasterLocalStoreHFileCleaner</value>
<description>A comma-separated list of BaseHFileCleanerDelegate invoked by
the HFileCleaner service. These HFiles cleaners are called in order,
so put the cleaner that prunes the most files in front. To
implement your own BaseHFileCleanerDelegate, just put it in HBase's classpath
and add the fully qualified class name here. Always add the above
default hfile cleaners in the list as they will be overwritten in
hbase-site.xml.</description>
</property>
<property>
<name>hbase.master.infoserver.redirect</name>
<value>true</value>
<description>Whether or not the Master listens to the Master web
UI port (hbase.master.info.port) and redirects requests to the web
UI server shared by the Master and RegionServer. Config. makes
sense when Master is serving Regions (not the default).</description>
</property>
<property>
<name>hbase.master.fileSplitTimeout</name>
<value>600000</value>
<description>Splitting a region, how long to wait on the file-splitting
step before aborting the attempt. Default: 600000. This setting used
to be known as hbase.regionserver.fileSplitTimeout in hbase-1.x.
Split is now run master-side hence the rename (If a
'hbase.master.fileSplitTimeout' setting found, will use it to
prime the current 'hbase.master.fileSplitTimeout'
Configuration.</description>
</property>
<!--RegionServer configurations-->
<property>
<name>hbase.regionserver.port</name>
<value>16020</value>
<description>The port the HBase RegionServer binds to.</description>
</property>
<property>
<name>hbase.regionserver.info.port</name>
<value>16030</value>
<description>The port for the HBase RegionServer web UI
Set to -1 if you do not want the RegionServer UI to run.</description>
</property>
<property>
<name>hbase.regionserver.info.bindAddress</name>
<value>0.0.0.0</value>
<description>The address for the HBase RegionServer web UI</description>
</property>
<property>
<name>hbase.regionserver.info.port.auto</name>
<value>false</value>
<description>Whether or not the Master or RegionServer
UI should search for a port to bind to. Enables automatic port
search if hbase.regionserver.info.port is already in use.
Useful for testing, turned off by default.</description>
</property>
<property>
<name>hbase.regionserver.handler.count</name>
<value>30</value>
<description>Count of RPC Listener instances spun up on RegionServers.
Same property is used by the Master for count of master handlers.
Too many handlers can be counter-productive. Make it a multiple of
CPU count. If mostly read-only, handlers count close to cpu count
does well. Start with twice the CPU count and tune from there.</description>
</property>
<property>
<name>hbase.ipc.server.callqueue.handler.factor</name>
<value>0.1</value>
<description>Factor to determine the number of call queues.
A value of 0 means a single queue shared between all the handlers.
A value of 1 means that each handler has its own queue.</description>
</property>
<property>
<name>hbase.ipc.server.callqueue.read.ratio</name>
<value>0</value>
<description>Split the call queues into read and write queues.
The specified interval (which should be between 0.0 and 1.0)
will be multiplied by the number of call queues.
A value of 0 indicate to not split the call queues, meaning that both read and write
requests will be pushed to the same set of queues.
A value lower than 0.5 means that there will be less read queues than write queues.
A value of 0.5 means there will be the same number of read and write queues.
A value greater than 0.5 means that there will be more read queues than write queues.
A value of 1.0 means that all the queues except one are used to dispatch read requests.
Example: Given the total number of call queues being 10
a read.ratio of 0 means that: the 10 queues will contain both read/write requests.
a read.ratio of 0.3 means that: 3 queues will contain only read requests
and 7 queues will contain only write requests.
a read.ratio of 0.5 means that: 5 queues will contain only read requests
and 5 queues will contain only write requests.
a read.ratio of 0.8 means that: 8 queues will contain only read requests
and 2 queues will contain only write requests.
a read.ratio of 1 means that: 9 queues will contain only read requests
and 1 queues will contain only write requests.
</description>
</property>
<property>
<name>hbase.ipc.server.callqueue.scan.ratio</name>
<value>0</value>
<description>Given the number of read call queues, calculated from the total number
of call queues multiplied by the callqueue.read.ratio, the scan.ratio property
will split the read call queues into small-read and long-read queues.
A value lower than 0.5 means that there will be less long-read queues than short-read queues.
A value of 0.5 means that there will be the same number of short-read and long-read queues.
A value greater than 0.5 means that there will be more long-read queues than short-read queues
A value of 0 or 1 indicate to use the same set of queues for gets and scans.
Example: Given the total number of read call queues being 8
a scan.ratio of 0 or 1 means that: 8 queues will contain both long and short read requests.
a scan.ratio of 0.3 means that: 2 queues will contain only long-read requests
and 6 queues will contain only short-read requests.
a scan.ratio of 0.5 means that: 4 queues will contain only long-read requests
and 4 queues will contain only short-read requests.
a scan.ratio of 0.8 means that: 6 queues will contain only long-read requests
and 2 queues will contain only short-read requests.
</description>
</property>
<property>
<name>hbase.regionserver.msginterval</name>
<value>3000</value>
<description>Interval between messages from the RegionServer to Master
in milliseconds.</description>
</property>
<property>
<name>hbase.regionserver.logroll.period</name>
<value>3600000</value>
<description>Period at which we will roll the commit log regardless
of how many edits it has.</description>
</property>
<property>
<name>hbase.regionserver.logroll.errors.tolerated</name>
<value>2</value>
<description>The number of consecutive WAL close errors we will allow
before triggering a server abort. A setting of 0 will cause the
region server to abort if closing the current WAL writer fails during
log rolling. Even a small value (2 or 3) will allow a region server
to ride over transient HDFS errors.</description>
</property>
<property>
<name>hbase.regionserver.hlog.reader.impl</name>
<value>org.apache.hadoop.hbase.regionserver.wal.ProtobufLogReader</value>
<description>The WAL file reader implementation.</description>
</property>
<property>
<name>hbase.regionserver.hlog.writer.impl</name>
<value>org.apache.hadoop.hbase.regionserver.wal.ProtobufLogWriter</value>
<description>The WAL file writer implementation.</description>
</property>
<property>
<name>hbase.regionserver.global.memstore.size</name>
<value></value>
<description>Maximum size of all memstores in a region server before new
updates are blocked and flushes are forced. Defaults to 40% of heap (0.4).
Updates are blocked and flushes are forced until size of all memstores
in a region server hits hbase.regionserver.global.memstore.size.lower.limit.
The default value in this configuration has been intentionally left empty in order to
honor the old hbase.regionserver.global.memstore.upperLimit property if present.
</description>
</property>
<property>
<name>hbase.regionserver.global.memstore.size.lower.limit</name>
<value></value>
<description>Maximum size of all memstores in a region server before flushes
are forced. Defaults to 95% of hbase.regionserver.global.memstore.size
(0.95). A 100% value for this value causes the minimum possible flushing
to occur when updates are blocked due to memstore limiting. The default
value in this configuration has been intentionally left empty in order to
honor the old hbase.regionserver.global.memstore.lowerLimit property if
present.
</description>
</property>
<property>
<name>hbase.systemtables.compacting.memstore.type</name>
<value>NONE</value>
<description>Determines the type of memstore to be used for system tables like
META, namespace tables etc. By default NONE is the type and hence we use the
default memstore for all the system tables. If we need to use compacting
memstore for system tables then set this property to BASIC/EAGER
</description>
</property>
<property>
<name>hbase.regionserver.optionalcacheflushinterval</name>
<value>3600000</value>
<description>
Maximum amount of time an edit lives in memory before being automatically flushed.
Default 1 hour. Set it to 0 to disable automatic flushing.
</description>
</property>
<property>
<name>hbase.regionserver.dns.interface</name>
<value>default</value>
<description>The name of the Network Interface from which a region server
should report its IP address.</description>
</property>
<property>
<name>hbase.regionserver.dns.nameserver</name>
<value>default</value>
<description>The host name or IP address of the name server (DNS)
which a region server should use to determine the host name used by the
master for communication and display purposes.</description>
</property>
<property>
<name>hbase.regionserver.region.split.policy</name>
<value>org.apache.hadoop.hbase.regionserver.SteppingSplitPolicy</value>
<description>
A split policy determines when a region should be split. The various
other split policies that are available currently are BusyRegionSplitPolicy,
ConstantSizeRegionSplitPolicy, DisabledRegionSplitPolicy,
DelimitedKeyPrefixRegionSplitPolicy, KeyPrefixRegionSplitPolicy, and
SteppingSplitPolicy. DisabledRegionSplitPolicy blocks manual region splitting.
</description>
</property>
<property>
<name>hbase.regionserver.regionSplitLimit</name>
<value>1000</value>
<description>
Limit for the number of regions after which no more region splitting
should take place. This is not hard limit for the number of regions
but acts as a guideline for the regionserver to stop splitting after
a certain limit. Default is set to 1000.
</description>
</property>
<!--ZooKeeper configuration-->
<property>
<name>zookeeper.session.timeout</name>
<value>90000</value>
<description>ZooKeeper session timeout in milliseconds. It is used in two different ways.
First, this value is used in the ZK client that HBase uses to connect to the ensemble.
It is also used by HBase when it starts a ZK server and it is passed as the 'maxSessionTimeout'.
See https://zookeeper.apache.org/doc/current/zookeeperProgrammers.html#ch_zkSessions.
For example, if an HBase region server connects to a ZK ensemble that's also managed
by HBase, then the session timeout will be the one specified by this configuration.
But, a region server that connects to an ensemble managed with a different configuration
will be subjected that ensemble's maxSessionTimeout. So, even though HBase might propose
using 90 seconds, the ensemble can have a max timeout lower than this and it will take
precedence. The current default maxSessionTimeout that ZK ships with is 40 seconds, which is lower than
HBase's.
</description>
</property>
<property>
<name>zookeeper.znode.parent</name>
<value>/hbase</value>
<description>Root ZNode for HBase in ZooKeeper. All of HBase's ZooKeeper
files that are configured with a relative path will go under this node.
By default, all of HBase's ZooKeeper file paths are configured with a
relative path, so they will all go under this directory unless changed.
</description>
</property>
<property>
<name>zookeeper.znode.acl.parent</name>
<value>acl</value>
<description>Root ZNode for access control lists.</description>
</property>
<property>
<name>hbase.zookeeper.dns.interface</name>
<value>default</value>
<description>The name of the Network Interface from which a ZooKeeper server
should report its IP address.</description>
</property>
<property>
<name>hbase.zookeeper.dns.nameserver</name>
<value>default</value>
<description>The host name or IP address of the name server (DNS)
which a ZooKeeper server should use to determine the host name used by the
master for communication and display purposes.</description>
</property>
<!--
The following three properties are used together to create the list of
host:peer_port:leader_port quorum servers for ZooKeeper.
-->
<property>
<name>hbase.zookeeper.peerport</name>
<value>2888</value>
<description>Port used by ZooKeeper peers to talk to each other.
See https://zookeeper.apache.org/doc/r3.4.10/zookeeperStarted.html#sc_RunningReplicatedZooKeeper
for more information.</description>
</property>
<property>
<name>hbase.zookeeper.leaderport</name>
<value>3888</value>
<description>Port used by ZooKeeper for leader election.
See https://zookeeper.apache.org/doc/r3.4.10/zookeeperStarted.html#sc_RunningReplicatedZooKeeper
for more information.</description>
</property>
<!-- End of properties used to generate ZooKeeper host:port quorum list. -->
<!--
Beginning of properties that are directly mapped from ZooKeeper's zoo.cfg.
All properties with an "hbase.zookeeper.property." prefix are converted for
ZooKeeper's configuration. Hence, if you want to add an option from zoo.cfg,
e.g. "initLimit=10" you would append the following to your configuration:
<property>
<name>hbase.zookeeper.property.initLimit</name>
<value>10</value>
</property>
-->
<property>
<name>hbase.zookeeper.property.initLimit</name>
<value>10</value>
<description>Property from ZooKeeper's config zoo.cfg.
The number of ticks that the initial synchronization phase can take.</description>
</property>
<property>
<name>hbase.zookeeper.property.syncLimit</name>
<value>5</value>
<description>Property from ZooKeeper's config zoo.cfg.
The number of ticks that can pass between sending a request and getting an
acknowledgment.</description>
</property>
<property>
<name>hbase.zookeeper.property.dataDir</name>
<value>${hbase.tmp.dir}/zookeeper</value>
<description>Property from ZooKeeper's config zoo.cfg.
The directory where the snapshot is stored.</description>
</property>
<property>
<name>hbase.zookeeper.property.clientPort</name>
<value>2181</value>
<description>Property from ZooKeeper's config zoo.cfg.
The port at which the clients will connect.</description>
</property>
<property>
<name>hbase.zookeeper.property.maxClientCnxns</name>
<value>300</value>
<description>Property from ZooKeeper's config zoo.cfg.
Limit on number of concurrent connections (at the socket level) that a
single client, identified by IP address, may make to a single member of
the ZooKeeper ensemble. Set high to avoid zk connection issues running
standalone and pseudo-distributed.</description>
</property>
<!-- End of properties that are directly mapped from ZooKeeper's zoo.cfg -->
<!--Client configurations-->
<property>
<name>hbase.client.write.buffer</name>
<value>2097152</value>
<description>Default size of the BufferedMutator write buffer in bytes.
A bigger buffer takes more memory -- on both the client and server
side since server instantiates the passed write buffer to process
it -- but a larger buffer size reduces the number of RPCs made.
For an estimate of server-side memory-used, evaluate
hbase.client.write.buffer * hbase.regionserver.handler.count</description>
</property>
<property>
<name>hbase.client.pause</name>
<value>100</value>
<description>General client pause value. Used mostly as value to wait
before running a retry of a failed get, region lookup, etc.
See hbase.client.retries.number for description of how we backoff from
this initial pause amount and how this pause works w/ retries.</description>
</property>
<property>
<name>hbase.client.pause.cqtbe</name>
<value></value>
<description>Whether or not to use a special client pause for
CallQueueTooBigException (cqtbe). Set this property to a higher value
than hbase.client.pause if you observe frequent CQTBE from the same
RegionServer and the call queue there keeps full</description>
</property>
<property>
<name>hbase.client.retries.number</name>
<value>15</value>
<description>Maximum retries. Used as maximum for all retryable
operations such as the getting of a cell's value, starting a row update,
etc. Retry interval is a rough function based on hbase.client.pause. At
first we retry at this interval but then with backoff, we pretty quickly reach
retrying every ten seconds. See HConstants#RETRY_BACKOFF for how the backup
ramps up. Change this setting and hbase.client.pause to suit your workload.</description>
</property>
<property>
<name>hbase.client.max.total.tasks</name>
<value>100</value>
<description>The maximum number of concurrent mutation tasks a single HTable instance will
send to the cluster.</description>
</property>
<property>
<name>hbase.client.max.perserver.tasks</name>
<value>2</value>
<description>The maximum number of concurrent mutation tasks a single HTable instance will
send to a single region server.</description>
</property>
<property>
<name>hbase.client.max.perregion.tasks</name>
<value>1</value>
<description>The maximum number of concurrent mutation tasks the client will
maintain to a single Region. That is, if there is already
hbase.client.max.perregion.tasks writes in progress for this region, new puts
won't be sent to this region until some writes finishes.</description>
</property>
<property>
<name>hbase.client.perserver.requests.threshold</name>
<value>2147483647</value>
<description>The max number of concurrent pending requests for one server in all client threads
(process level). Exceeding requests will be thrown ServerTooBusyException immediately to prevent
user's threads being occupied and blocked by only one slow region server. If you use a fix
number of threads to access HBase in a synchronous way, set this to a suitable value which is
related to the number of threads will help you. See
https://issues.apache.org/jira/browse/HBASE-16388 for details.</description>
</property>
<property>
<name>hbase.client.scanner.caching</name>
<value>2147483647</value>
<description>Number of rows that we try to fetch when calling next
on a scanner if it is not served from (local, client) memory. This configuration
works together with hbase.client.scanner.max.result.size to try and use the
network efficiently. The default value is Integer.MAX_VALUE by default so that
the network will fill the chunk size defined by hbase.client.scanner.max.result.size
rather than be limited by a particular number of rows since the size of rows varies
table to table. If you know ahead of time that you will not require more than a certain
number of rows from a scan, this configuration should be set to that row limit via
Scan#setCaching. Higher caching values will enable faster scanners but will eat up more
memory and some calls of next may take longer and longer times when the cache is empty.
Do not set this value such that the time between invocations is greater than the scanner
timeout; i.e. hbase.client.scanner.timeout.period</description>
</property>
<property>
<name>hbase.client.keyvalue.maxsize</name>
<value>10485760</value>
<description>Specifies the combined maximum allowed size of a KeyValue
instance. This is to set an upper boundary for a single entry saved in a
storage file. Since they cannot be split it helps avoiding that a region
cannot be split any further because the data is too large. It seems wise
to set this to a fraction of the maximum region size. Setting it to zero
or less disables the check.</description>
</property>
<property>
<name>hbase.server.keyvalue.maxsize</name>
<value>10485760</value>
<description>Maximum allowed size of an individual cell, inclusive of value and all key
components. A value of 0 or less disables the check.
The default value is 10MB.
This is a safety setting to protect the server from OOM situations.
</description>
</property>
<property>
<name>hbase.client.scanner.timeout.period</name>
<value>60000</value>
<description>Client scanner lease period in milliseconds.</description>
</property>
<property>
<name>hbase.client.localityCheck.threadPoolSize</name>
<value>2</value>
</property>
<!--Miscellaneous configuration-->
<property>
<name>hbase.bulkload.retries.number</name>
<value>10</value>
<description>Maximum retries. This is maximum number of iterations
to atomic bulk loads are attempted in the face of splitting operations
0 means never give up.</description>
</property>
<property>
<name>hbase.compaction.after.bulkload.enable</name>
<value>false</value>
<description>Request Compaction after bulkload immediately.
If bulkload is continuous, the triggered compactions may increase load,
bring about performance side effect.</description>
</property>
<property>
<name>hbase.master.balancer.maxRitPercent</name>
<value>1.0</value>
<description>The max percent of regions in transition when balancing.
The default value is 1.0. So there are no balancer throttling. If set this config to 0.01,
It means that there are at most 1% regions in transition when balancing.
Then the cluster's availability is at least 99% when balancing.</description>
</property>
<property>
<name>hbase.balancer.period</name>
<value>300000</value>
<description>Period at which the region balancer runs in the Master, in
milliseconds.</description>
</property>
<property>
<name>hbase.regions.slop</name>
<value>0.001</value>
<description>Rebalance if any regionserver has average + (average * slop) regions.
The default value of this parameter is 0.001 in StochasticLoadBalancer (the default load
balancer), while the default is 0.2 in other load balancers (i.e.,
SimpleLoadBalancer).</description>
</property>
<property>
<name>hbase.normalizer.period</name>
<value>300000</value>
<description>Period at which the region normalizer runs in the Master, in
milliseconds.</description>
</property>
<property>
<name>hbase.normalizer.split.enabled</name>
<value>true</value>
<description>Whether to split a region as part of normalization.</description>
</property>
<property>
<name>hbase.normalizer.merge.enabled</name>
<value>true</value>
<description>Whether to merge a region as part of normalization.</description>
</property>
<property>
<name>hbase.normalizer.min.region.count</name>
<value>3</value>
<description>The minimum number of regions in a table to consider it for merge
normalization.</description>
</property>
<property>
<name>hbase.normalizer.merge.min_region_age.days</name>
<value>3</value>
<description>The minimum age for a region to be considered for a merge, in days.</description>
</property>
<property>
<name>hbase.normalizer.merge.min_region_age.days</name>
<value>3</value>
<description>The minimum age for a region to be considered for a merge, in days.</description>
</property>
<property>
<name>hbase.normalizer.merge.min_region_size.mb</name>
<value>1</value>
<description>The minimum size for a region to be considered for a merge, in whole
MBs.</description>
</property>
<property>
<name>hbase.server.thread.wakefrequency</name>
<value>10000</value>
<description>In master side, this config is the period used for FS related behaviors:
checking if hdfs is out of safe mode, setting or checking hbase.version file,
setting or checking hbase.id file. Using default value should be fine.
In regionserver side, this config is used in several places: flushing check interval,
compaction check interval, wal rolling check interval. Specially, admin can tune
flushing and compaction check interval by hbase.regionserver.flush.check.period
and hbase.regionserver.compaction.check.period. (in milliseconds)</description>
</property>
<property>
<name>hbase.regionserver.flush.check.period</name>
<value>${hbase.server.thread.wakefrequency}</value>
<description>It determines the flushing check period of PeriodicFlusher in regionserver.
If unset, it uses hbase.server.thread.wakefrequency as default value.
(in milliseconds)</description>
</property>
<property>
<name>hbase.regionserver.compaction.check.period</name>
<value>${hbase.server.thread.wakefrequency}</value>
<description>It determines the compaction check period of CompactionChecker in regionserver.
If unset, it uses hbase.server.thread.wakefrequency as default value.
(in milliseconds)</description>
</property>
<property>
<name>hbase.server.versionfile.writeattempts</name>
<value>3</value>
<description>
How many times to retry attempting to write a version file
before just aborting. Each attempt is separated by the
hbase.server.thread.wakefrequency milliseconds.</description>
</property>
<property>
<name>hbase.hregion.memstore.flush.size</name>
<value>134217728</value>
<description>
Memstore will be flushed to disk if size of the memstore
exceeds this number of bytes. Value is checked by a thread that runs
every hbase.server.thread.wakefrequency.</description>
</property>
<property>
<name>hbase.hregion.percolumnfamilyflush.size.lower.bound.min</name>
<value>16777216</value>
<description>
If FlushLargeStoresPolicy is used and there are multiple column families,
then every time that we hit the total memstore limit, we find out all the
column families whose memstores exceed a "lower bound" and only flush them
while retaining the others in memory. The "lower bound" will be
"hbase.hregion.memstore.flush.size / column_family_number" by default
unless value of this property is larger than that. If none of the families
have their memstore size more than lower bound, all the memstores will be
flushed (just as usual).
</description>
</property>
<property>
<name>hbase.hregion.preclose.flush.size</name>
<value>5242880</value>
<description>
If the memstores in a region are this size or larger when we go
to close, run a "pre-flush" to clear out memstores before we put up
the region closed flag and take the region offline. On close,
a flush is run under the close flag to empty memory. During
this time the region is offline and we are not taking on any writes.
If the memstore content is large, this flush could take a long time to
complete. The preflush is meant to clean out the bulk of the memstore
before putting up the close flag and taking the region offline so the
flush that runs under the close flag has little to do.</description>
</property>
<property>
<name>hbase.hregion.memstore.block.multiplier</name>
<value>4</value>
<description>
Block updates if memstore has hbase.hregion.memstore.block.multiplier
times hbase.hregion.memstore.flush.size bytes. Useful preventing
runaway memstore during spikes in update traffic. Without an
upper-bound, memstore fills such that when it flushes the
resultant flush files take a long time to compact or split, or
worse, we OOME.</description>
</property>
<property>
<name>hbase.hregion.memstore.mslab.enabled</name>
<value>true</value>
<description>
Enables the MemStore-Local Allocation Buffer,
a feature which works to prevent heap fragmentation under
heavy write loads. This can reduce the frequency of stop-the-world
GC pauses on large heaps.
</description>
</property>
<property>
<name>hbase.hregion.memstore.mslab.chunksize</name>
<value>2097152</value>
<description>The maximum byte size of a chunk in the MemStoreLAB. Unit: bytes</description>
</property>
<property>
<name>hbase.regionserver.offheap.global.memstore.size</name>
<value>0</value>
<description>The amount of off-heap memory all MemStores in a RegionServer may use.
A value of 0 means that no off-heap memory will be used and all chunks in MSLAB
will be HeapByteBuffer, otherwise the non-zero value means how many megabyte of
off-heap memory will be used for chunks in MSLAB and all chunks in MSLAB will be
DirectByteBuffer. Unit: megabytes.
</description>
</property>
<property>
<name>hbase.hregion.memstore.mslab.max.allocation</name>
<value>262144</value>
<description>The maximal size of one allocation in the MemStoreLAB, if the desired byte
size exceed this threshold then it will be just allocated from JVM heap rather than MemStoreLAB.
</description>
</property>
<property>
<name>hbase.hregion.max.filesize</name>
<value>10737418240</value>
<description>Maximum file size. If the sum of the sizes of a region's HFiles has
grown to exceed this value, the region is split in two. There are two choices of
how this option works, the first is when any store's size exceed the threshold
then split, and the other is overall region's size exceed the threshold then split,
it can be configed by hbase.hregion.split.overallfiles.</description>
</property>
<property>
<name>hbase.hregion.split.overallfiles</name>
<value>true</value>
<description>If we should sum overall region files size when check to split.</description>
</property>
<property>
<name>hbase.hregion.majorcompaction</name>
<value>604800000</value>
<description>Time between major compactions, expressed in milliseconds. Set to 0 to disable
time-based automatic major compactions. User-requested and size-based major compactions will
still run. This value is multiplied by hbase.hregion.majorcompaction.jitter to cause
compaction to start at a somewhat-random time during a given window of time. The default value
is 7 days, expressed in milliseconds. If major compactions are causing disruption in your
environment, you can configure them to run at off-peak times for your deployment, or disable
time-based major compactions by setting this parameter to 0, and run major compactions in a
cron job or by another external mechanism.</description>
</property>
<property>
<name>hbase.hregion.majorcompaction.jitter</name>
<value>0.50</value>
<description>A multiplier applied to hbase.hregion.majorcompaction to cause compaction to occur
a given amount of time either side of hbase.hregion.majorcompaction. The smaller the number,
the closer the compactions will happen to the hbase.hregion.majorcompaction
interval.</description>
</property>
<property>
<name>hbase.hstore.compactionThreshold</name>
<value>3</value>
<description> If more than this number of StoreFiles exist in any one Store
(one StoreFile is written per flush of MemStore), a compaction is run to rewrite all
StoreFiles into a single StoreFile. Larger values delay compaction, but when compaction does
occur, it takes longer to complete.</description>
</property>
<property>
<name>hbase.regionserver.compaction.enabled</name>
<value>true</value>
<description>Enable/disable compactions on by setting true/false.
We can further switch compactions dynamically with the
compaction_switch shell command.</description>
</property>
<property>
<name>hbase.hstore.flusher.count</name>
<value>2</value>
<description> The number of flush threads. With fewer threads, the MemStore flushes will be
queued. With more threads, the flushes will be executed in parallel, increasing the load on
HDFS, and potentially causing more compactions. </description>
</property>
<property>
<name>hbase.hstore.blockingStoreFiles</name>
<value>16</value>
<description> If more than this number of StoreFiles exist in any one Store (one StoreFile
is written per flush of MemStore), updates are blocked for this region until a compaction is
completed, or until hbase.hstore.blockingWaitTime has been exceeded.</description>
</property>
<property>
<name>hbase.hstore.blockingWaitTime</name>
<value>90000</value>
<description> The time for which a region will block updates after reaching the StoreFile limit
defined by hbase.hstore.blockingStoreFiles. After this time has elapsed, the region will stop
blocking updates even if a compaction has not been completed.</description>
</property>
<property>
<name>hbase.hstore.compaction.min</name>
<value></value>
<description>The minimum number of StoreFiles which must be eligible for compaction before
compaction can run. The goal of tuning hbase.hstore.compaction.min is to avoid ending up with
too many tiny StoreFiles to compact. Setting this value to 2 would cause a minor compaction
each time you have two StoreFiles in a Store, and this is probably not appropriate. If you
set this value too high, all the other values will need to be adjusted accordingly. For most
cases, the default value is appropriate (empty value here, results in 3 by code logic). In
previous versions of HBase, the parameter hbase.hstore.compaction.min was named
hbase.hstore.compactionThreshold.</description>
</property>
<property>
<name>hbase.hstore.compaction.max</name>
<value>10</value>
<description>The maximum number of StoreFiles which will be selected for a single minor
compaction, regardless of the number of eligible StoreFiles. Effectively, the value of
hbase.hstore.compaction.max controls the length of time it takes a single compaction to
complete. Setting it larger means that more StoreFiles are included in a compaction. For most
cases, the default value is appropriate.</description>
</property>
<property>
<name>hbase.hstore.compaction.min.size</name>
<value>134217728</value>
<description>A StoreFile (or a selection of StoreFiles, when using ExploringCompactionPolicy)
smaller than this size will always be eligible for minor compaction.
HFiles this size or larger are evaluated by hbase.hstore.compaction.ratio to determine if
they are eligible. Because this limit represents the "automatic include" limit for all
StoreFiles smaller than this value, this value may need to be reduced in write-heavy
environments where many StoreFiles in the 1-2 MB range are being flushed, because every
StoreFile will be targeted for compaction and the resulting StoreFiles may still be under the
minimum size and require further compaction. If this parameter is lowered, the ratio check is
triggered more quickly. This addressed some issues seen in earlier versions of HBase but
changing this parameter is no longer necessary in most situations. Default: 128 MB expressed
in bytes.</description>
</property>
<property>
<name>hbase.hstore.compaction.max.size</name>
<value>9223372036854775807</value>
<description>A StoreFile (or a selection of StoreFiles, when using ExploringCompactionPolicy)
larger than this size will be excluded from compaction. The effect of
raising hbase.hstore.compaction.max.size is fewer, larger StoreFiles that do not get
compacted often. If you feel that compaction is happening too often without much benefit, you
can try raising this value. Default: the value of LONG.MAX_VALUE, expressed in bytes.</description>
</property>
<property>
<name>hbase.hstore.compaction.ratio</name>
<value>1.2F</value>
<description>For minor compaction, this ratio is used to determine whether a given StoreFile
which is larger than hbase.hstore.compaction.min.size is eligible for compaction. Its
effect is to limit compaction of large StoreFiles. The value of hbase.hstore.compaction.ratio
is expressed as a floating-point decimal. A large ratio, such as 10, will produce a single
giant StoreFile. Conversely, a low value, such as .25, will produce behavior similar to the
BigTable compaction algorithm, producing four StoreFiles. A moderate value of between 1.0 and
1.4 is recommended. When tuning this value, you are balancing write costs with read costs.
Raising the value (to something like 1.4) will have more write costs, because you will
compact larger StoreFiles. However, during reads, HBase will need to seek through fewer
StoreFiles to accomplish the read. Consider this approach if you cannot take advantage of
Bloom filters. Otherwise, you can lower this value to something like 1.0 to reduce the
background cost of writes, and use Bloom filters to control the number of StoreFiles touched
during reads. For most cases, the default value is appropriate.</description>
</property>
<property>
<name>hbase.hstore.compaction.ratio.offpeak</name>
<value>5.0F</value>
<description>Allows you to set a different (by default, more aggressive) ratio for determining
whether larger StoreFiles are included in compactions during off-peak hours. Works in the
same way as hbase.hstore.compaction.ratio. Only applies if hbase.offpeak.start.hour and
hbase.offpeak.end.hour are also enabled.</description>
</property>
<property>
<name>hbase.hstore.time.to.purge.deletes</name>
<value>0</value>
<description>The amount of time to delay purging of delete markers with future timestamps. If
unset, or set to 0, all delete markers, including those with future timestamps, are purged
during the next major compaction. Otherwise, a delete marker is kept until the major compaction
which occurs after the marker's timestamp plus the value of this setting, in milliseconds.
</description>
</property>
<property>
<name>hbase.offpeak.start.hour</name>
<value>-1</value>
<description>The start of off-peak hours, expressed as an integer between 0 and 23, inclusive.
Set to -1 to disable off-peak.</description>
</property>
<property>
<name>hbase.offpeak.end.hour</name>
<value>-1</value>
<description>The end of off-peak hours, expressed as an integer between 0 and 23, inclusive. Set
to -1 to disable off-peak.</description>
</property>
<property>
<name>hbase.regionserver.thread.compaction.throttle</name>
<value>2684354560</value>
<description>There are two different thread pools for compactions, one for large compactions and
the other for small compactions. This helps to keep compaction of lean tables (such as
hbase:meta) fast. If a compaction is larger than this threshold, it
goes into the large compaction pool. In most cases, the default value is appropriate. Default:
2 x hbase.hstore.compaction.max x hbase.hregion.memstore.flush.size (which defaults to 128MB).
The value field assumes that the value of hbase.hregion.memstore.flush.size is unchanged from
the default.</description>
</property>
<property>
<name>hbase.regionserver.majorcompaction.pagecache.drop</name>
<value>true</value>
<description>Specifies whether to drop pages read/written into the system page cache by
major compactions. Setting it to true helps prevent major compactions from
polluting the page cache, which is almost always required, especially for clusters
with low/moderate memory to storage ratio.</description>
</property>
<property>
<name>hbase.regionserver.minorcompaction.pagecache.drop</name>
<value>true</value>
<description>Specifies whether to drop pages read/written into the system page cache by
minor compactions. Setting it to true helps prevent minor compactions from
polluting the page cache, which is most beneficial on clusters with low
memory to storage ratio or very write heavy clusters. You may want to set it to
false under moderate to low write workload when bulk of the reads are
on the most recently written data.</description>
</property>
<property>
<name>hbase.hstore.compaction.kv.max</name>
<value>10</value>
<description>The maximum number of KeyValues to read and then write in a batch when flushing or
compacting. Set this lower if you have big KeyValues and problems with Out Of Memory
Exceptions Set this higher if you have wide, small rows. </description>
</property>
<property>
<name>hbase.storescanner.parallel.seek.enable</name>
<value>false</value>
<description>
Enables StoreFileScanner parallel-seeking in StoreScanner,
a feature which can reduce response latency under special conditions.</description>
</property>
<property>
<name>hbase.storescanner.parallel.seek.threads</name>
<value>10</value>
<description>
The default thread pool size if parallel-seeking feature enabled.</description>
</property>
<property>
<name>hfile.block.cache.policy</name>
<value>LRU</value>
<description>The eviction policy for the L1 block cache (LRU or TinyLFU).</description>
</property>
<property>
<name>hfile.block.cache.size</name>
<value>0.4</value>
<description>Percentage of maximum heap (-Xmx setting) to allocate to block cache
used by a StoreFile. Default of 0.4 means allocate 40%.
Set to 0 to disable but it's not recommended; you need at least
enough cache to hold the storefile indices.</description>
</property>
<property>
<name>hfile.block.index.cacheonwrite</name>
<value>false</value>
<description>This allows to put non-root multi-level index blocks into the block
cache at the time the index is being written.</description>
</property>
<property>
<name>hfile.index.block.max.size</name>
<value>131072</value>
<description>When the size of a leaf-level, intermediate-level, or root-level
index block in a multi-level block index grows to this size, the
block is written out and a new block is started.</description>
</property>
<property>
<name>hbase.bucketcache.ioengine</name>
<value></value>
<description>Where to store the contents of the bucketcache. One of: offheap,
file, files, mmap or pmem. If a file or files, set it to file(s):PATH_TO_FILE.
mmap means the content will be in an mmaped file. Use mmap:PATH_TO_FILE. 'pmem'
is bucket cache over a file on the persistent memory device.
Use pmem:PATH_TO_FILE.
See http://hbase.apache.org/book.html#offheap.blockcache for more information.
</description>
</property>
<property>
<name>hbase.hstore.compaction.throughput.lower.bound</name>
<value>52428800</value>
<description>The target lower bound on aggregate compaction throughput, in bytes/sec. Allows
you to tune the minimum available compaction throughput when the
PressureAwareCompactionThroughputController throughput controller is active. (It is active by
default.)</description>
</property>
<property>
<name>hbase.hstore.compaction.throughput.higher.bound</name>
<value>104857600</value>
<description>The target upper bound on aggregate compaction throughput, in bytes/sec. Allows
you to control aggregate compaction throughput demand when the
PressureAwareCompactionThroughputController throughput controller is active. (It is active by
default.) The maximum throughput will be tuned between the lower and upper bounds when
compaction pressure is within the range [0.0, 1.0]. If compaction pressure is 1.0 or greater
the higher bound will be ignored until pressure returns to the normal range.</description>
</property>
<property>
<name>hbase.bucketcache.size</name>
<value></value>
<description>It is the total capacity in megabytes of BucketCache. Default: 0.0</description>
</property>
<property>
<name>hbase.bucketcache.bucket.sizes</name>
<value></value>
<description>A comma-separated list of sizes for buckets for the bucketcache.
Can be multiple sizes. List block sizes in order from smallest to largest.
The sizes you use will depend on your data access patterns.
Must be a multiple of 256 else you will run into
'java.io.IOException: Invalid HFile block magic' when you go to read from cache.
If you specify no values here, then you pick up the default bucketsizes set
in code (See BucketAllocator#DEFAULT_BUCKET_SIZES).
</description>
</property>
<property>
<name>hfile.format.version</name>
<value>3</value>
<description>The HFile format version to use for new files.
Version 3 adds support for tags in hfiles (See http://hbase.apache.org/book.html#hbase.tags).
Also see the configuration 'hbase.replication.rpc.codec'.
</description>
</property>
<property>
<name>hfile.block.bloom.cacheonwrite</name>
<value>false</value>
<description>Enables cache-on-write for inline blocks of a compound Bloom filter.</description>
</property>
<property>
<name>io.storefile.bloom.block.size</name>
<value>131072</value>
<description>The size in bytes of a single block ("chunk") of a compound Bloom
filter. This size is approximate, because Bloom blocks can only be
inserted at data block boundaries, and the number of keys per data
block varies.</description>
</property>
<property>
<name>hbase.rs.cacheblocksonwrite</name>
<value>false</value>
<description>Whether an HFile block should be added to the block cache when the
block is finished.</description>
</property>
<property>
<name>hbase.rpc.timeout</name>
<value>60000</value>
<description>This is for the RPC layer to define how long (millisecond) HBase client applications
take for a remote call to time out. It uses pings to check connections
but will eventually throw a TimeoutException.</description>
</property>
<property>
<name>hbase.client.operation.timeout</name>
<value>1200000</value>
<description>Operation timeout is a top-level restriction (millisecond) that makes sure a
blocking operation in Table will not be blocked more than this. In each operation, if rpc
request fails because of timeout or other reason, it will retry until success or throw
RetriesExhaustedException. But if the total time being blocking reach the operation timeout
before retries exhausted, it will break early and throw SocketTimeoutException.</description>
</property>
<property>
<name>hbase.cells.scanned.per.heartbeat.check</name>
<value>10000</value>
<description>The number of cells scanned in between heartbeat checks. Heartbeat
checks occur during the processing of scans to determine whether or not the
server should stop scanning in order to send back a heartbeat message to the
client. Heartbeat messages are used to keep the client-server connection alive
during long running scans. Small values mean that the heartbeat checks will
occur more often and thus will provide a tighter bound on the execution time of
the scan. Larger values mean that the heartbeat checks occur less frequently
</description>
</property>
<property>
<name>hbase.rpc.shortoperation.timeout</name>
<value>10000</value>
<description>This is another version of "hbase.rpc.timeout". For those RPC operation
within cluster, we rely on this configuration to set a short timeout limitation
for short operation. For example, short rpc timeout for region server's trying
to report to active master can benefit quicker master failover process.</description>
</property>
<property>
<name>hbase.ipc.client.tcpnodelay</name>
<value>true</value>
<description>Set no delay on rpc socket connections. See
http://docs.oracle.com/javase/1.5.0/docs/api/java/net/Socket.html#getTcpNoDelay()</description>
</property>
<property>
<name>hbase.unsafe.regionserver.hostname</name>
<value></value>
<description>This config is for experts: don't set its value unless you really know what you are doing.
When set to a non-empty value, this represents the (external facing) hostname for the underlying server.
See https://issues.apache.org/jira/browse/HBASE-12954 for details.</description>
</property>
<property>
<name>hbase.unsafe.regionserver.hostname.disable.master.reversedns</name>
<value>false</value>
<description>This config is for experts: don't set its value unless you really know what you are doing.
When set to true, regionserver will use the current node hostname for the servername and HMaster will
skip reverse DNS lookup and use the hostname sent by regionserver instead. Note that this config and
hbase.unsafe.regionserver.hostname are mutually exclusive. See https://issues.apache.org/jira/browse/HBASE-18226
for more details.</description>
</property>
<!-- The following properties configure authentication information for
HBase processes when using Kerberos security. There are no default
values, included here for documentation purposes -->
<property>
<name>hbase.master.keytab.file</name>
<value></value>
<description>Full path to the kerberos keytab file to use for logging in
the configured HMaster server principal.</description>
</property>
<property>
<name>hbase.master.kerberos.principal</name>
<value></value>
<description>Ex. "hbase/_HOST@EXAMPLE.COM". The kerberos principal name
that should be used to run the HMaster process. The principal name should
be in the form: user/hostname@DOMAIN. If "_HOST" is used as the hostname
portion, it will be replaced with the actual hostname of the running
instance.</description>
</property>
<property>
<name>hbase.regionserver.keytab.file</name>
<value></value>
<description>Full path to the kerberos keytab file to use for logging in
the configured HRegionServer server principal.</description>
</property>
<property>
<name>hbase.regionserver.kerberos.principal</name>
<value></value>
<description>Ex. "hbase/_HOST@EXAMPLE.COM". The kerberos principal name
that should be used to run the HRegionServer process. The principal name
should be in the form: user/hostname@DOMAIN. If "_HOST" is used as the
hostname portion, it will be replaced with the actual hostname of the
running instance. An entry for this principal must exist in the file
specified in hbase.regionserver.keytab.file</description>
</property>
<!-- Additional configuration specific to HBase security -->
<property>
<name>hadoop.policy.file</name>
<value>hbase-policy.xml</value>
<description>The policy configuration file used by RPC servers to make
authorization decisions on client requests. Only used when HBase
security is enabled.</description>
</property>
<property>
<name>hbase.superuser</name>
<value></value>
<description>List of users or groups (comma-separated), who are allowed
full privileges, regardless of stored ACLs, across the cluster.
Only used when HBase security is enabled.</description>
</property>
<property>
<name>hbase.auth.key.update.interval</name>
<value>86400000</value>
<description>The update interval for master key for authentication tokens
in servers in milliseconds. Only used when HBase security is enabled.</description>
</property>
<property>
<name>hbase.auth.token.max.lifetime</name>
<value>604800000</value>
<description>The maximum lifetime in milliseconds after which an
authentication token expires. Only used when HBase security is enabled.</description>
</property>
<property>
<name>hbase.ipc.client.fallback-to-simple-auth-allowed</name>
<value>false</value>
<description>When a client is configured to attempt a secure connection, but attempts to
connect to an insecure server, that server may instruct the client to
switch to SASL SIMPLE (unsecure) authentication. This setting controls
whether or not the client will accept this instruction from the server.
When false (the default), the client will not allow the fallback to SIMPLE
authentication, and will abort the connection.</description>
</property>
<property>
<name>hbase.ipc.server.fallback-to-simple-auth-allowed</name>
<value>false</value>
<description>When a server is configured to require secure connections, it will
reject connection attempts from clients using SASL SIMPLE (unsecure) authentication.
This setting allows secure servers to accept SASL SIMPLE connections from clients
when the client requests. When false (the default), the server will not allow the fallback
to SIMPLE authentication, and will reject the connection. WARNING: This setting should ONLY
be used as a temporary measure while converting clients over to secure authentication. It
MUST BE DISABLED for secure operation.</description>
</property>
<property>
<name>hbase.unsafe.client.kerberos.hostname.disable.reversedns</name>
<value>false</value>
<description>This config is for experts: don't set its value unless you really know what you are doing.
When set to true, HBase client using SASL Kerberos will skip reverse DNS lookup and use provided
hostname of the destination for the principal instead. See https://issues.apache.org/jira/browse/HBASE-25665
for more details.</description>
</property>
<property>
<name>hbase.display.keys</name>
<value>true</value>
<description>When this is set to true the webUI and such will display all start/end keys
as part of the table details, region names, etc. When this is set to false,
the keys are hidden.</description>
</property>
<property>
<name>hbase.coprocessor.enabled</name>
<value>true</value>
<description>Enables or disables coprocessor loading. If 'false'
(disabled), any other coprocessor related configuration will be ignored.
</description>
</property>
<property>
<name>hbase.coprocessor.user.enabled</name>
<value>true</value>
<description>Enables or disables user (aka. table) coprocessor loading.
If 'false' (disabled), any table coprocessor attributes in table
descriptors will be ignored. If "hbase.coprocessor.enabled" is 'false'
this setting has no effect.
</description>
</property>
<property>
<name>hbase.coprocessor.region.classes</name>
<value></value>
<description>A comma-separated list of region observer or endpoint coprocessors
that are loaded by default on all tables. For any override coprocessor method,
these classes will be called in order. After implementing your own Coprocessor,
add it to HBase's classpath and add the fully qualified class name here.
A coprocessor can also be loaded on demand by setting HTableDescriptor or the
HBase shell.</description>
</property>
<property>
<name>hbase.coprocessor.master.classes</name>
<value></value>
<description>A comma-separated list of
org.apache.hadoop.hbase.coprocessor.MasterObserver coprocessors that are
loaded by default on the active HMaster process. For any implemented
coprocessor methods, the listed classes will be called in order. After
implementing your own MasterObserver, just put it in HBase's classpath
and add the fully qualified class name here.</description>
</property>
<property>
<name>hbase.coprocessor.abortonerror</name>
<value>true</value>
<description>Set to true to cause the hosting server (master or regionserver)
to abort if a coprocessor fails to load, fails to initialize, or throws an
unexpected Throwable object. Setting this to false will allow the server to
continue execution but the system wide state of the coprocessor in question
will become inconsistent as it will be properly executing in only a subset
of servers, so this is most useful for debugging only.</description>
</property>
<property>
<name>hbase.rest.port</name>
<value>8080</value>
<description>The port for the HBase REST server.</description>
</property>
<property>
<name>hbase.rest.readonly</name>
<value>false</value>
<description>Defines the mode the REST server will be started in. Possible values are:
false: All HTTP methods are permitted - GET/PUT/POST/DELETE.
true: Only the GET method is permitted.</description>
</property>
<property>
<name>hbase.rest.threads.max</name>
<value>100</value>
<description>The maximum number of threads of the REST server thread pool.
Threads in the pool are reused to process REST requests. This
controls the maximum number of requests processed concurrently.
It may help to control the memory used by the REST server to
avoid OOM issues. If the thread pool is full, incoming requests
will be queued up and wait for some free threads.</description>
</property>
<property>
<name>hbase.rest.threads.min</name>
<value>2</value>
<description>The minimum number of threads of the REST server thread pool.
The thread pool always has at least these number of threads so
the REST server is ready to serve incoming requests.</description>
</property>
<property>
<name>hbase.rest.support.proxyuser</name>
<value>false</value>
<description>Enables running the REST server to support proxy-user mode.</description>
</property>
<property skipInDoc="true">
<name>hbase.defaults.for.version</name>
<value>@@@VERSION@@@</value>
<description>This defaults file was compiled for version ${project.version}. This variable is used
to make sure that a user doesn't have an old version of hbase-default.xml on the
classpath.</description>
</property>
<property>
<name>hbase.defaults.for.version.skip</name>
<value>false</value>
<description>Set to true to skip the 'hbase.defaults.for.version' check.
Setting this to true can be useful in contexts other than
the other side of a maven generation; i.e. running in an
IDE. You'll want to set this boolean to true to avoid
seeing the RuntimeException complaint: "hbase-default.xml file
seems to be for and old version of HBase (\${hbase.version}), this
version is X.X.X-SNAPSHOT"</description>
</property>
<property>
<name>hbase.table.lock.enable</name>
<value>true</value>
<description>Set to true to enable locking the table in zookeeper for schema change operations.
Table locking from master prevents concurrent schema modifications to corrupt table
state.</description>
</property>
<property>
<name>hbase.table.max.rowsize</name>
<value>1073741824</value>
<description>
Maximum size of single row in bytes (default is 1 Gb) for Get'ting
or Scan'ning without in-row scan flag set. If row size exceeds this limit
RowTooBigException is thrown to client.
</description>
</property>
<property>
<name>hbase.thrift.minWorkerThreads</name>
<value>16</value>
<description>The "core size" of the thread pool. New threads are created on every
connection until this many threads are created.</description>
</property>
<property>
<name>hbase.thrift.maxWorkerThreads</name>
<value>1000</value>
<description>The maximum size of the thread pool. When the pending request queue
overflows, new threads are created until their number reaches this number.
After that, the server starts dropping connections.</description>
</property>
<property>
<name>hbase.thrift.maxQueuedRequests</name>
<value>1000</value>
<description>The maximum number of pending Thrift connections waiting in the queue. If
there are no idle threads in the pool, the server queues requests. Only
when the queue overflows, new threads are added, up to
hbase.thrift.maxQueuedRequests threads.</description>
</property>
<property>
<name>hbase.regionserver.thrift.framed</name>
<value>false</value>
<description>Use Thrift TFramedTransport on the server side.
This is the recommended transport for thrift servers and requires a similar setting
on the client side. Changing this to false will select the default transport,
vulnerable to DoS when malformed requests are issued due to THRIFT-601.
</description>
</property>
<property>
<name>hbase.regionserver.thrift.framed.max_frame_size_in_mb</name>
<value>2</value>
<description>Default frame size when using framed transport, in MB</description>
</property>
<property>
<name>hbase.regionserver.thrift.compact</name>
<value>false</value>
<description>Use Thrift TCompactProtocol binary serialization protocol.</description>
</property>
<property>
<name>hbase.rootdir.perms</name>
<value>700</value>
<description>FS Permissions for the root data subdirectory in a secure (kerberos) setup.
When master starts, it creates the rootdir with this permissions or sets the permissions
if it does not match.</description>
</property>
<property>
<name>hbase.wal.dir.perms</name>
<value>700</value>
<description>FS Permissions for the root WAL directory in a secure(kerberos) setup.
When master starts, it creates the WAL dir with this permissions or sets the permissions
if it does not match.</description>
</property>
<property>
<name>hbase.data.umask.enable</name>
<value>false</value>
<description>Enable, if true, that file permissions should be assigned
to the files written by the regionserver</description>
</property>
<property>
<name>hbase.data.umask</name>
<value>000</value>
<description>File permissions that should be used to write data
files when hbase.data.umask.enable is true</description>
</property>
<property>
<name>hbase.snapshot.enabled</name>
<value>true</value>
<description>Set to true to allow snapshots to be taken / restored / cloned.</description>
</property>
<property>
<name>hbase.snapshot.restore.take.failsafe.snapshot</name>
<value>true</value>
<description>Set to true to take a snapshot before the restore operation.
The snapshot taken will be used in case of failure, to restore the previous state.
At the end of the restore operation this snapshot will be deleted</description>
</property>
<property>
<name>hbase.snapshot.restore.failsafe.name</name>
<value>hbase-failsafe-{snapshot.name}-{restore.timestamp}</value>
<description>Name of the failsafe snapshot taken by the restore operation.
You can use the {snapshot.name}, {table.name} and {restore.timestamp} variables
to create a name based on what you are restoring.</description>
</property>
<property>
<name>hbase.snapshot.working.dir</name>
<value></value>
<description>Location where the snapshotting process will occur. The location of the
completed snapshots will not change, but the temporary directory where the snapshot
process occurs will be set to this location. This can be a separate filesystem than
the root directory, for performance increase purposes. See HBASE-21098 for more
information</description>
</property>
<property>
<name>hbase.server.compactchecker.interval.multiplier</name>
<value>1000</value>
<description>The number that determines how often we scan to see if compaction is necessary.
Normally, compactions are done after some events (such as memstore flush), but if
region didn't receive a lot of writes for some time, or due to different compaction
policies, it may be necessary to check it periodically. The interval between checks is
hbase.server.compactchecker.interval.multiplier multiplied by
hbase.server.thread.wakefrequency.</description>
</property>
<property>
<name>hbase.lease.recovery.timeout</name>
<value>900000</value>
<description>How long we wait on dfs lease recovery in total before giving up.</description>
</property>
<property>
<name>hbase.lease.recovery.dfs.timeout</name>
<value>64000</value>
<description>How long between dfs recover lease invocations. Should be larger than the sum of
the time it takes for the namenode to issue a block recovery command as part of
datanode; dfs.heartbeat.interval and the time it takes for the primary
datanode, performing block recovery to timeout on a dead datanode; usually
dfs.client.socket-timeout. See the end of HBASE-8389 for more.</description>
</property>
<property>
<name>hbase.column.max.version</name>
<value>1</value>
<description>New column family descriptors will use this value as the default number of versions
to keep.</description>
</property>
<property>
<name>dfs.client.read.shortcircuit</name>
<value></value>
<description>
If set to true, this configuration parameter enables short-circuit local
reads.
</description>
</property>
<property>
<name>dfs.domain.socket.path</name>
<value></value>
<description>
This is a path to a UNIX domain socket that will be used for
communication between the DataNode and local HDFS clients, if
dfs.client.read.shortcircuit is set to true. If the string "_PORT" is
present in this path, it will be replaced by the TCP port of the DataNode.
Be careful about permissions for the directory that hosts the shared
domain socket; dfsclient will complain if open to other users than the HBase user.
</description>
</property>
<property>
<name>hbase.dfs.client.read.shortcircuit.buffer.size</name>
<value>131072</value>
<description>If the DFSClient configuration
dfs.client.read.shortcircuit.buffer.size is unset, we will
use what is configured here as the short circuit read default
direct byte buffer size. DFSClient native default is 1MB; HBase
keeps its HDFS files open so number of file blocks * 1MB soon
starts to add up and threaten OOME because of a shortage of
direct memory. So, we set it down from the default. Make
it > the default hbase block size set in the HColumnDescriptor
which is usually 64k.
</description>
</property>
<property>
<name>hbase.regionserver.checksum.verify</name>
<value>true</value>
<description>
If set to true (the default), HBase verifies the checksums for hfile
blocks. HBase writes checksums inline with the data when it writes out
hfiles. HDFS (as of this writing) writes checksums to a separate file
than the data file necessitating extra seeks. Setting this flag saves
some on i/o. Checksum verification by HDFS will be internally disabled
on hfile streams when this flag is set. If the hbase-checksum verification
fails, we will switch back to using HDFS checksums (so do not disable HDFS
checksums! And besides this feature applies to hfiles only, not to WALs).
If this parameter is set to false, then hbase will not verify any checksums,
instead it will depend on checksum verification being done in the HDFS client.
</description>
</property>
<property>
<name>hbase.hstore.bytes.per.checksum</name>
<value>16384</value>
<description>
Number of bytes in a newly created checksum chunk for HBase-level
checksums in hfile blocks.
</description>
</property>
<property>
<name>hbase.hstore.checksum.algorithm</name>
<value>CRC32C</value>
<description>
Name of an algorithm that is used to compute checksums. Possible values
are NULL, CRC32, CRC32C.
</description>
</property>
<property>
<name>hbase.client.scanner.max.result.size</name>
<value>2097152</value>
<description>Maximum number of bytes returned when calling a scanner's next method.
Note that when a single row is larger than this limit the row is still returned completely.
The default value is 2MB, which is good for 1ge networks.
With faster and/or high latency networks this value should be increased.
</description>
</property>
<property>
<name>hbase.server.scanner.max.result.size</name>
<value>104857600</value>
<description>Maximum number of bytes returned when calling a scanner's next method.
Note that when a single row is larger than this limit the row is still returned completely.
The default value is 100MB.
This is a safety setting to protect the server from OOM situations.
</description>
</property>
<property>
<name>hbase.status.published</name>
<value>false</value>
<description>
This setting activates the publication by the master of the status of the region server.
When a region server dies and its recovery starts, the master will push this information
to the client application, to let them cut the connection immediately instead of waiting
for a timeout.
</description>
</property>
<property>
<name>hbase.status.publisher.class</name>
<value>org.apache.hadoop.hbase.master.ClusterStatusPublisher$MulticastPublisher</value>
<description>
Implementation of the status publication with a multicast message.
</description>
</property>
<property>
<name>hbase.status.listener.class</name>
<value>org.apache.hadoop.hbase.client.ClusterStatusListener$MulticastListener</value>
<description>
Implementation of the status listener with a multicast message.
</description>
</property>
<property>
<name>hbase.status.multicast.address.ip</name>
<value>226.1.1.3</value>
<description>
Multicast address to use for the status publication by multicast.
</description>
</property>
<property>
<name>hbase.status.multicast.address.port</name>
<value>16100</value>
<description>
Multicast port to use for the status publication by multicast.
</description>
</property>
<property>
<name>hbase.dynamic.jars.dir</name>
<value>${hbase.rootdir}/lib</value>
<description>
The directory from which the custom filter JARs can be loaded
dynamically by the region server without the need to restart. However,
an already loaded filter/co-processor class would not be un-loaded. See
HBASE-1936 for more details.
Does not apply to coprocessors.
</description>
</property>
<property>
<name>hbase.security.authentication</name>
<value>simple</value>
<description>
Controls whether or not secure authentication is enabled for HBase.
Possible values are 'simple' (no authentication), and 'kerberos'.
</description>
</property>
<property>
<name>hbase.rest.filter.classes</name>
<value>org.apache.hadoop.hbase.rest.filter.GzipFilter</value>
<description>
Servlet filters for REST service.
</description>
</property>
<property>
<name>hbase.master.loadbalancer.class</name>
<value>org.apache.hadoop.hbase.master.balancer.StochasticLoadBalancer</value>
<description>
Class used to execute the regions balancing when the period occurs.
See the class comment for more on how it works
http://hbase.apache.org/devapidocs/org/apache/hadoop/hbase/master/balancer/StochasticLoadBalancer.html
It replaces the DefaultLoadBalancer as the default (since renamed
as the SimpleLoadBalancer).
</description>
</property>
<property>
<name>hbase.master.loadbalance.bytable</name>
<value>false</value>
<description>Factor Table name when the balancer runs.
Default: false.
</description>
</property>
<property>
<name>hbase.master.normalizer.class</name>
<value>org.apache.hadoop.hbase.master.normalizer.SimpleRegionNormalizer</value>
<description>
Class used to execute the region normalization when the period occurs.
See the class comment for more on how it works
http://hbase.apache.org/devapidocs/org/apache/hadoop/hbase/master/normalizer/SimpleRegionNormalizer.html
</description>
</property>
<property>
<name>hbase.rest.csrf.enabled</name>
<value>false</value>
<description>
Set to true to enable protection against cross-site request forgery (CSRF)
</description>
</property>
<property>
<name>hbase.rest-csrf.browser-useragents-regex</name>
<value>^Mozilla.*,^Opera.*</value>
<description>
A comma-separated list of regular expressions used to match against an HTTP
request's User-Agent header when protection against cross-site request
forgery (CSRF) is enabled for REST server by setting
hbase.rest.csrf.enabled to true. If the incoming User-Agent matches
any of these regular expressions, then the request is considered to be sent
by a browser, and therefore CSRF prevention is enforced. If the request's
User-Agent does not match any of these regular expressions, then the request
is considered to be sent by something other than a browser, such as scripted
automation. In this case, CSRF is not a potential attack vector, so
the prevention is not enforced. This helps achieve backwards-compatibility
with existing automation that has not been updated to send the CSRF
prevention header.
</description>
</property>
<property>
<name>hbase.security.exec.permission.checks</name>
<value>false</value>
<description>
If this setting is enabled and ACL based access control is active (the
AccessController coprocessor is installed either as a system coprocessor
or on a table as a table coprocessor) then you must grant all relevant
users EXEC privilege if they require the ability to execute coprocessor
endpoint calls. EXEC privilege, like any other permission, can be
granted globally to a user, or to a user on a per table or per namespace
basis. For more information on coprocessor endpoints, see the coprocessor
section of the HBase online manual. For more information on granting or
revoking permissions using the AccessController, see the security
section of the HBase online manual.
</description>
</property>
<property>
<name>hbase.procedure.regionserver.classes</name>
<value></value>
<description>A comma-separated list of
org.apache.hadoop.hbase.procedure.RegionServerProcedureManager procedure managers that are
loaded by default on the active HRegionServer process. The lifecycle methods (init/start/stop)
will be called by the active HRegionServer process to perform the specific globally barriered
procedure. After implementing your own RegionServerProcedureManager, just put it in
HBase's classpath and add the fully qualified class name here.
</description>
</property>
<property>
<name>hbase.procedure.master.classes</name>
<value></value>
<description>A comma-separated list of
org.apache.hadoop.hbase.procedure.MasterProcedureManager procedure managers that are
loaded by default on the active HMaster process. A procedure is identified by its signature and
users can use the signature and an instant name to trigger an execution of a globally barriered
procedure. After implementing your own MasterProcedureManager, just put it in HBase's classpath
and add the fully qualified class name here.</description>
</property>
<property>
<name>hbase.coordinated.state.manager.class</name>
<value>org.apache.hadoop.hbase.coordination.ZkCoordinatedStateManager</value>
<description>Fully qualified name of class implementing coordinated state manager.</description>
</property>
<property>
<name>hbase.regionserver.storefile.refresh.period</name>
<value>0</value>
<description>
The period (in milliseconds) for refreshing the store files for the secondary regions. 0
means this feature is disabled. Secondary regions sees new files (from flushes and
compactions) from primary once the secondary region refreshes the list of files in the
region (there is no notification mechanism). But too frequent refreshes might cause
extra Namenode pressure. If the files cannot be refreshed for longer than HFile TTL
(hbase.master.hfilecleaner.ttl) the requests are rejected. Configuring HFile TTL to a larger
value is also recommended with this setting.
</description>
</property>
<property>
<name>hbase.region.replica.replication.enabled</name>
<value>false</value>
<description>
Whether asynchronous WAL replication to the secondary region replicas is enabled or not.
If this is enabled, a replication peer named "region_replica_replication" will be created
which will tail the logs and replicate the mutations to region replicas for tables that
have region replication > 1. If this is enabled once, disabling this replication also
requires disabling the replication peer using shell or Admin java class.
Replication to secondary region replicas works over standard inter-cluster replication.
</description>
</property>
<property>
<name>hbase.http.filter.initializers</name>
<value>org.apache.hadoop.hbase.http.lib.StaticUserWebFilter</value>
<description>
A comma separated list of class names. Each class in the list must extend
org.apache.hadoop.hbase.http.FilterInitializer. The corresponding Filter will
be initialized. Then, the Filter will be applied to all user facing jsp
and servlet web pages.
The ordering of the list defines the ordering of the filters.
The default StaticUserWebFilter add a user principal as defined by the
hbase.http.staticuser.user property.
</description>
</property>
<property>
<name>hbase.security.visibility.mutations.checkauths</name>
<value>false</value>
<description>
This property if enabled, will check whether the labels in the visibility
expression are associated with the user issuing the mutation
</description>
</property>
<property>
<name>hbase.http.max.threads</name>
<value>16</value>
<description>
The maximum number of threads that the HTTP Server will create in its
ThreadPool.
</description>
</property>
<property>
<name>hbase.replication.rpc.codec</name>
<value>org.apache.hadoop.hbase.codec.KeyValueCodecWithTags</value>
<description>
The codec that is to be used when replication is enabled so that
the tags are also replicated. This is used along with HFileV3 which
supports tags in them. If tags are not used or if the hfile version used
is HFileV2 then KeyValueCodec can be used as the replication codec. Note that
using KeyValueCodecWithTags for replication when there are no tags causes no harm.
</description>
</property>
<property>
<name>hbase.replication.source.maxthreads</name>
<value>10</value>
<description>
The maximum number of threads any replication source will use for
shipping edits to the sinks in parallel. This also limits the number of
chunks each replication batch is broken into. Larger values can improve
the replication throughput between the master and slave clusters. The
default of 10 will rarely need to be changed.
</description>
</property>
<!-- Static Web User Filter properties. -->
<property>
<name>hbase.http.staticuser.user</name>
<value>dr.stack</value>
<description>
The user name to filter as, on static web filters
while rendering content. An example use is the HDFS
web UI (user to be used for browsing files).
</description>
</property>
<property>
<name>hbase.regionserver.handler.abort.on.error.percent</name>
<value>0.5</value>
<description>The percent of region server RPC threads failed to abort RS.
-1 Disable aborting; 0 Abort if even a single handler has died;
0.x Abort only when this percent of handlers have died;
1 Abort only all of the handers have died.</description>
</property>
<!-- Mob properties. -->
<property>
<name>hbase.mob.file.cache.size</name>
<value>1000</value>
<description>
Number of opened file handlers to cache.
A larger value will benefit reads by providing more file handlers per mob
file cache and would reduce frequent file opening and closing.
However, if this is set too high, this could lead to a "too many opened file handlers"
The default value is 1000.
</description>
</property>
<property>
<name>hbase.mob.cache.evict.period</name>
<value>3600</value>
<description>
The amount of time in seconds before the mob cache evicts cached mob files.
The default value is 3600 seconds.
</description>
</property>
<property>
<name>hbase.mob.cache.evict.remain.ratio</name>
<value>0.5f</value>
<description>
The ratio (between 0.0 and 1.0) of files that remains cached after an eviction
is triggered when the number of cached mob files exceeds the hbase.mob.file.cache.size.
The default value is 0.5f.
</description>
</property>
<property>
<name>hbase.master.mob.cleaner.period</name>
<value>86400</value>
<description>
The period that MobFileCleanerChore runs. The unit is second.
The default value is one day. The MOB file name uses only the date part of
the file creation time in it. We use this time for deciding TTL expiry of
the files. So the removal of TTL expired files might be delayed. The max
delay might be 24 hrs.
</description>
</property>
<property>
<name>hbase.mob.major.compaction.region.batch.size</name>
<value>0</value>
<description>
The max number of a MOB table regions that is allowed in a batch of the mob compaction. By
setting this number to a custom value, users can control the overall effect of a major
compaction of a large MOB-enabled table.
Default is 0 - means no limit - all regions of a MOB table will be compacted at once
</description>
</property>
<property>
<name>hbase.mob.compaction.chore.period</name>
<value>604800</value>
<description>
The period that MobCompactionChore runs. The unit is second.
The default value is one week.
</description>
</property>
<property>
<name>hbase.snapshot.master.timeout.millis</name>
<value>300000</value>
<description>
Timeout for master for the snapshot procedure execution.
</description>
</property>
<property>
<name>hbase.snapshot.region.timeout</name>
<value>300000</value>
<description>
Timeout for regionservers to keep threads in snapshot request pool waiting.
</description>
</property>
<property>
<name>hbase.rpc.rows.warning.threshold</name>
<value>5000</value>
<description>
Number of rows in a batch operation above which a warning will be logged.
</description>
</property>
<property>
<name>hbase.master.wait.on.service.seconds</name>
<value>30</value>
<description>Default is 5 minutes. Make it 30 seconds for tests. See
HBASE-19794 for some context.</description>
</property>
<property>
<name>hbase.master.cleaner.snapshot.interval</name>
<value>1800000</value>
<description>
Snapshot Cleanup chore interval in milliseconds.
The cleanup thread keeps running at this interval
to find all snapshots that are expired based on TTL
and delete them.
</description>
</property>
<property>
<name>hbase.master.snapshot.ttl</name>
<value>0</value>
<description>
Default Snapshot TTL to be considered when the user does not specify TTL while
creating snapshot. Default value 0 indicates FOREVERE - snapshot should not be
automatically deleted until it is manually deleted
</description>
</property>
<property>
<name>hbase.master.regions.recovery.check.interval</name>
<value>1200000</value>
<description>
Regions Recovery Chore interval in milliseconds.
This chore keeps running at this interval to
find all regions with configurable max store file ref count
and reopens them.
</description>
</property>
<property>
<name>hbase.regions.recovery.store.file.ref.count</name>
<value>-1</value>
<description>
Very large number of ref count on a compacted
store file indicates that it is a ref leak
on that object(compacted store file).
Such files can not be removed after
it is invalidated via compaction.
Only way to recover in such scenario is to
reopen the region which can release
all resources, like the refcount,
leases, etc. This config represents Store files Ref
Count threshold value considered for reopening
regions. Any region with compacted store files
ref count > this value would be eligible for
reopening by master. Here, we get the max
refCount among all refCounts on all
compacted away store files that belong to a
particular region. Default value -1 indicates
this feature is turned off. Only positive
integer value should be provided to
enable this feature.
</description>
</property>
<property>
<name>hbase.regionserver.slowlog.ringbuffer.size</name>
<value>256</value>
<description>
Default size of ringbuffer to be maintained by each RegionServer in order
to store online slowlog responses. This is an in-memory ring buffer of
requests that were judged to be too slow in addition to the responseTooSlow
logging. The in-memory representation would be complete.
For more details, please look into Doc Section:
Get Slow Response Log from shell
</description>
</property>
<property>
<name>hbase.regionserver.slowlog.buffer.enabled</name>
<value>false</value>
<description>
Indicates whether RegionServers have ring buffer running for storing
Online Slow logs in FIFO manner with limited entries. The size of
the ring buffer is indicated by config: hbase.regionserver.slowlog.ringbuffer.size
The default value is false, turn this on and get latest slowlog
responses with complete data.
</description>
</property>
<property>
<name>hbase.regionserver.slowlog.systable.enabled</name>
<value>false</value>
<description>
Should be enabled only if hbase.regionserver.slowlog.buffer.enabled is enabled. If enabled
(true), all slow/large RPC logs would be persisted to system table hbase:slowlog (in addition
to in-memory ring buffer at each RegionServer). The records are stored in increasing
order of time. Operators can scan the table with various combination of ColumnValueFilter.
More details are provided in the doc section:
"Get Slow/Large Response Logs from System table hbase:slowlog"
</description>
</property>
<property>
<name>hbase.master.metafixer.max.merge.count</name>
<value>64</value>
<description>
Maximum regions to merge at a time when we fix overlaps noted in
CJ consistency report, but avoid merging 100 regions in one go!
</description>
</property>
<property>
<name>hbase.rpc.rows.size.threshold.reject</name>
<value>false</value>
<description>
If value is true, RegionServer will abort batch requests of Put/Delete with number of rows
in a batch operation exceeding threshold defined by value of config:
hbase.rpc.rows.warning.threshold. The default value is false and hence, by default, only
warning will be logged. This config should be turned on to prevent RegionServer from serving
very large batch size of rows and this way we can improve CPU usages by discarding
too large batch request.
</description>
</property>
<property>
<name>hbase.namedqueue.provider.classes</name>
<value>org.apache.hadoop.hbase.namequeues.impl.SlowLogQueueService,org.apache.hadoop.hbase.namequeues.impl.BalancerDecisionQueueService,org.apache.hadoop.hbase.namequeues.impl.BalancerRejectionQueueService</value>
<description>
Default values for NamedQueueService implementors. This comma separated full class names
represent all implementors of NamedQueueService that we would like to be invoked by
LogEvent handler service. One example of NamedQueue service is SlowLogQueueService which
is used to store slow/large RPC logs in ringbuffer at each RegionServer.
All implementors of NamedQueueService should be found under package:
"org.apache.hadoop.hbase.namequeues.impl"
</description>
</property>
<property>
<name>hbase.master.balancer.decision.buffer.enabled</name>
<value>false</value>
<description>
Indicates whether active HMaster has ring buffer running for storing
balancer decisions in FIFO manner with limited entries. The size of
the ring buffer is indicated by config: hbase.master.balancer.decision.queue.size
</description>
</property>
<property>
<name>hbase.master.balancer.rejection.buffer.enabled</name>
<value>false</value>
<description>
Indicates whether active HMaster has ring buffer running for storing
balancer rejection in FIFO manner with limited entries. The size of
the ring buffer is indicated by config: hbase.master.balancer.rejection.queue.size
</description>
</property>
</configuration>