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Posted to commits@hbase.apache.org by nd...@apache.org on 2015/08/19 00:36:03 UTC

[11/15] hbase git commit: HBASE-14066 clean out old docbook docs from branch-1.

http://git-wip-us.apache.org/repos/asf/hbase/blob/0acbff24/src/main/docbkx/cp.xml
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-<?xml version="1.0" encoding="UTF-8"?>
-<chapter
-  version="5.0"
-  xml:id="cp"
-  xmlns="http://docbook.org/ns/docbook"
-  xmlns:xlink="http://www.w3.org/1999/xlink"
-  xmlns:xi="http://www.w3.org/2001/XInclude"
-  xmlns:svg="http://www.w3.org/2000/svg"
-  xmlns:m="http://www.w3.org/1998/Math/MathML"
-  xmlns:html="http://www.w3.org/1999/xhtml"
-  xmlns:db="http://docbook.org/ns/docbook">
-  <!--
-/**
- * Licensed to the Apache Software Foundation (ASF) under one
- * or more contributor license agreements.  See the NOTICE file
- * distributed with this work for additional information
- * regarding copyright ownership.  The ASF licenses this file
- * to you 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.
- */
--->
-  <title>Apache HBase Coprocessors</title>
-  <para> HBase coprocessors are modeled after the coprocessors which are part of Google's BigTable
-      (<link xlink:href="http://www.scribd.com/doc/21631448/Dean-Keynote-Ladis2009"/>, pages
-    66-67.). Coprocessors function in a similar way to Linux kernel modules. They provide a way to
-    run server-level code against locally-stored data. The functionality they provide is very
-    powerful, but also carries great risk and can have adverse effects on the system, at the level
-    of the operating system. The information in this chapter is primarily sourced and heavily reused
-    from Mingjie Lai's blog post at <link
-      xlink:href="https://blogs.apache.org/hbase/entry/coprocessor_introduction"/>. </para>
-
-  <para> Coprocessors are not designed to be used by end users of HBase, but by HBase developers who
-    need to add specialized functionality to HBase. One example of the use of coprocessors is
-    pluggable compaction and scan policies, which are provided as coprocessors in <link
-      xlink:href="HBASE-6427">HBASE-6427</link>. </para>
-
-  <section>
-    <title>Coprocessor Framework</title>
-    <para>The implementation of HBase coprocessors diverges from the BigTable implementation. The
-      HBase framework provides a library and runtime environment for executing user code within the
-      HBase region server and master processes. </para>
-    <para> The framework API is provided in the <link
-        xlink:href="https://hbase.apache.org/apidocs/org/apache/hadoop/hbase/coprocessor/package-summary.html">coprocessor</link>
-      package.</para>
-    <para>Two different types of coprocessors are provided by the framework, based on their
-      scope.</para>
-    <variablelist>
-      <title>Types of Coprocessors</title>
-      <varlistentry>
-        <term>System Coprocessors</term>
-        <listitem>
-          <para>System coprocessors are loaded globally on all tables and regions hosted by a region
-            server.</para>
-        </listitem>
-      </varlistentry>
-      <varlistentry>
-        <term>Table Coprocessors</term>
-        <listitem>
-          <para>You can specify which coprocessors should be loaded on all regions for a table on a
-            per-table basis.</para>
-        </listitem>
-      </varlistentry>
-    </variablelist>
-
-    <para>The framework provides two different aspects of extensions as well:
-        <firstterm>observers</firstterm> and <firstterm>endpoints</firstterm>.</para>
-    <variablelist>
-      <varlistentry>
-        <term>Observers</term>
-        <listitem>
-          <para>Observers are analogous to triggers in conventional databases. They allow you to
-            insert user code by overriding upcall methods provided by the coprocessor framework.
-            Callback functions are executed from core HBase code when events occur. Callbacks are
-            handled by the framework, and the coprocessor itself only needs to insert the extended
-            or alternate functionality.</para>
-          <variablelist>
-            <title>Provided Observer Interfaces</title>
-            <varlistentry>
-              <term><link
-                  xlink:href="https://hbase.apache.org/apidocs/org/apache/hadoop/hbase/coprocessor/RegionObserver.html">RegionObserver</link></term>
-              <listitem>
-                <para>A RegionObserver provides hooks for data manipulation events, such as Get,
-                  Put, Delete, Scan. An instance of a RegionObserver coprocessor exists for each
-                  table region. The scope of the observations a RegionObserver can make is
-                  constrained to that region. </para>
-              </listitem>
-            </varlistentry>
-            <varlistentry>
-              <term><link
-                  xlink:href="https://hbase.apache.org/apidocs/org/apache/hadoop/hbase/coprocessor/RegionServerObserver.html">RegionServerObserver</link></term>
-              <listitem>
-                <para>A RegionServerObserver provides for operations related to the RegionServer,
-                  such as stopping the RegionServer and performing operations before or after
-                  merges, commits, or rollbacks.</para>
-              </listitem>
-            </varlistentry>
-            <varlistentry>
-              <term><link
-                  xlink:href="http://hbase.apache.org/apidocs/org/apache/hadoop/hbase/coprocessor/WALObserver.html">WALObserver</link></term>
-              <listitem>
-                <para>A WALObserver provides hooks for operations related to the write-ahead log
-                  (WAL). You can observe or intercept WAL writing and reconstruction events. A
-                  WALObserver runs in the context of WAL processing. A single WALObserver exists on
-                  a single region server.</para>
-              </listitem>
-            </varlistentry>
-            <varlistentry>
-              <term><link
-                  xlink:href="https://hbase.apache.org/apidocs/org/apache/hadoop/hbase/coprocessor/MasterObserver.html">MasterObserver</link></term>
-              <listitem>
-                <para>A MasterObserver provides hooks for DDL-type operation, such as create,
-                  delete, modify table. The MasterObserver runs within the context of the HBase
-                  master. </para>
-              </listitem>
-            </varlistentry>
-          </variablelist>
-          <para>More than one observer of a given type can be loaded at once. Multiple observers are
-            chained to execute sequentially by order of assigned priority. Nothing prevents a
-            coprocessor implementor from communicating internally among its installed
-            observers.</para>
-          <para>An observer of a higher priority can preempt lower-priority observers by throwing an
-            IOException or a subclass of IOException.</para>
-        </listitem>
-      </varlistentry>
-      <varlistentry>
-        <term>Endpoints (HBase 0.96.x and later)</term>
-        <listitem>
-          <para>The implementation for endpoints changed significantly in HBase 0.96.x due to the
-            introduction of protocol buffers (protobufs) (<link
-              xlink:href="https://issues.apache.org/jira/browse/HBASE-5448">HBASE-5488</link>). If
-            you created endpoints before 0.96.x, you will need to rewrite them. Endpoints are now
-            defined and callable as protobuf services, rather than endpoint invocations passed
-            through as Writable blobs</para>
-          <para>Dynamic RPC endpoints resemble stored procedures. An endpoint can be invoked at any
-            time from the client. When it is invoked, it is executed remotely at the target region
-            or regions, and results of the executions are returned to the client.</para>
-          <para>The endpoint implementation is installed on the server and is invoked using HBase
-            RPC. The client library provides convenience methods for invoking these dynamic
-            interfaces. </para>
-          <para>An endpoint, like an observer, can communicate with any installed observers. This
-            allows you to plug new features into HBase without modifying or recompiling HBase
-            itself.</para>
-          <itemizedlist>
-            <title>Steps to Implement an Endpoint</title>
-            <listitem><para>Define the coprocessor service and related messages in a <filename>.proto</filename> file</para></listitem>
-            <listitem><para>Run the <command>protoc</command> command to generate the code.</para></listitem>
-            <listitem><para>Write code to implement the following:</para>
-            <itemizedlist>
-              <listitem><para>the generated protobuf Service interface</para></listitem>
-              <listitem>
-                  <para>the new <link
-                      xlink:href="https://hbase.apache.org/apidocs/org/apache/hadoop/hbase/client/HTable.html#coprocessorService(byte[])">org.apache.hadoop.hbase.coprocessor.CoprocessorService</link>
-                    interface (required for the <link
-                      xlink:href="https://hbase.apache.org/apidocs/org/apache/hadoop/hbase/regionserver/RegionCoprocessorHost.html">RegionCoprocessorHost</link>
-                    to register the exposed service)</para></listitem>
-            </itemizedlist>
-            </listitem>
-            <listitem><para>The client calls the new HTable.coprocessorService() methods to perform the endpoint RPCs.</para></listitem>
-          </itemizedlist>
-
-          <para>For more information and examples, refer to the API documentation for the <link
-            xlink:href="https://hbase.apache.org/apidocs/org/apache/hadoop/hbase/client/coprocessor/package-summary.html">coprocessor</link>
-          package, as well as the included RowCount example in the
-            <filename>/hbase-examples/src/test/java/org/apache/hadoop/hbase/coprocessor/example/</filename>
-            of the HBase source.</para>
-        </listitem>
-      </varlistentry>
-      <varlistentry>
-        <term>Endpoints (HBase 0.94.x and earlier)</term>
-        <listitem>
-          <para>Dynamic RPC endpoints resemble stored procedures. An endpoint can be invoked at any
-            time from the client. When it is invoked, it is executed remotely at the target region
-            or regions, and results of the executions are returned to the client.</para>
-          <para>The endpoint implementation is installed on the server and is invoked using HBase
-            RPC. The client library provides convenience methods for invoking these dynamic
-            interfaces. </para>
-          <para>An endpoint, like an observer, can communicate with any installed observers. This
-            allows you to plug new features into HBase without modifying or recompiling HBase
-            itself.</para>
-          <itemizedlist>
-            <title>Steps to Implement an Endpoint</title>
-            <listitem>
-              <bridgehead>Server-Side</bridgehead>
-              <itemizedlist>
-                <listitem>
-                  <para>Create new protocol interface which extends CoprocessorProtocol.</para>
-                </listitem>
-                <listitem>
-                  <para>Implement the Endpoint interface. The implementation will be loaded into and
-                    executed from the region context.</para>
-                </listitem>
-                <listitem>
-                  <para>Extend the abstract class BaseEndpointCoprocessor. This convenience class
-                    hides some internal details that the implementer does not need to be concerned
-                    about, ˆ such as coprocessor framework class loading.</para>
-                </listitem>
-              </itemizedlist>
-            </listitem>
-            <listitem>
-              <bridgehead>Client-Side</bridgehead>
-              <para>Endpoint can be invoked by two new HBase client APIs:</para>
-              <itemizedlist>
-                <listitem>
-                  <para><code>HTableInterface.coprocessorProxy(Class&lt;T&gt; protocol, byte[]
-                      row)</code> for executing against a single region</para>
-                </listitem>
-                <listitem>
-                  <para><code>HTableInterface.coprocessorExec(Class&lt;T&gt; protocol, byte[]
-                      startKey, byte[] endKey, Batch.Call&lt;T,R&gt; callable)</code> for executing
-                    over a range of regions</para>
-                </listitem>
-              </itemizedlist>
-            </listitem>
-          </itemizedlist>
-        </listitem>
-      </varlistentry>
-    </variablelist>
-  </section>
-
-  <section>
-    <title>Examples</title>
-    <para>An example of an observer is included in
-      <filename>hbase-examples/src/test/java/org/apache/hadoop/hbase/coprocessor/example/TestZooKeeperScanPolicyObserver.java</filename>.
-    Several endpoint examples are included in the same directory.</para>
-  </section>
- 
-  
-
-  <section>
-    <title>Building A Coprocessor</title>
-
-    <para>Before you can build a processor, it must be developed, compiled, and packaged in a JAR
-      file. The next step is to configure the coprocessor framework to use your coprocessor. You can
-      load the coprocessor from your HBase configuration, so that the coprocessor starts with HBase,
-      or you can configure the coprocessor from the HBase shell, as a table attribute, so that it is
-      loaded dynamically when the table is opened or reopened.</para>
-    <section>
-      <title>Load from Configuration</title>
-      <para> To configure a coprocessor to be loaded when HBase starts, modify the RegionServer's
-          <filename>hbase-site.xml</filename> and configure one of the following properties, based
-        on the type of observer you are configuring: </para>
-      <itemizedlist>
-        <listitem>
-          <para><code>hbase.coprocessor.region.classes</code>for RegionObservers and
-            Endpoints</para>
-        </listitem>
-        <listitem>
-          <para><code>hbase.coprocessor.wal.classes</code>for WALObservers</para>
-        </listitem>
-        <listitem>
-          <para><code>hbase.coprocessor.master.classes</code>for MasterObservers</para>
-        </listitem>
-      </itemizedlist>
-      <example>
-        <title>Example RegionObserver Configuration</title>
-        <para>In this example, one RegionObserver is configured for all the HBase tables.</para>
-        <screen language="xml"><![CDATA[
-<property>
-    <name>hbase.coprocessor.region.classes</name>
-    <value>org.apache.hadoop.hbase.coprocessor.AggregateImplementation</value>
- </property>  ]]>        
-        </screen>
-      </example>
-
-      <para> If multiple classes are specified for loading, the class names must be comma-separated.
-        The framework attempts to load all the configured classes using the default class loader.
-        Therefore, the jar file must reside on the server-side HBase classpath.</para>
-
-      <para>Coprocessors which are loaded in this way will be active on all regions of
-        all tables. These are the system coprocessor introduced earlier. The first listed
-        coprocessors will be assigned the priority <literal>Coprocessor.Priority.SYSTEM</literal>.
-        Each subsequent coprocessor in the list will have its priority value incremented by one
-        (which reduces its priority, because priorities have the natural sort order of Integers). </para>
-      <para>When calling out to registered observers, the framework executes their callbacks methods
-        in the sorted order of their priority. Ties are broken arbitrarily.</para>
-    </section>
-
-    <section>
-      <title>Load from the HBase Shell</title>
-      <para> You can load a coprocessor on a specific table via a table attribute. The following
-        example will load the <systemitem>FooRegionObserver</systemitem> observer when table
-          <systemitem>t1</systemitem> is read or re-read. </para>
-      <example>
-        <title>Load a Coprocessor On a Table Using HBase Shell</title>
-        <screen>
-hbase(main):005:0>  <userinput>alter 't1', METHOD => 'table_att', 
-  'coprocessor'=>'hdfs:///foo.jar|com.foo.FooRegionObserver|1001|arg1=1,arg2=2'</userinput>
-<computeroutput>Updating all regions with the new schema...
-1/1 regions updated.
-Done.
-0 row(s) in 1.0730 seconds</computeroutput>
-
-hbase(main):006:0> <userinput>describe 't1'</userinput>
-<computeroutput>DESCRIPTION                                                        ENABLED                             
- {NAME => 't1', coprocessor$1 => 'hdfs:///foo.jar|com.foo.FooRegio false                               
- nObserver|1001|arg1=1,arg2=2', FAMILIES => [{NAME => 'c1', DATA_B                                     
- LOCK_ENCODING => 'NONE', BLOOMFILTER => 'NONE', REPLICATION_SCOPE                                     
-  => '0', VERSIONS => '3', COMPRESSION => 'NONE', MIN_VERSIONS =>                                      
- '0', TTL => '2147483647', KEEP_DELETED_CELLS => 'false', BLOCKSIZ                                     
- E => '65536', IN_MEMORY => 'false', ENCODE_ON_DISK => 'true', BLO                                     
- CKCACHE => 'true'}, {NAME => 'f1', DATA_BLOCK_ENCODING => 'NONE',                                     
-  BLOOMFILTER => 'NONE', REPLICATION_SCOPE => '0', VERSIONS => '3'                                     
- , COMPRESSION => 'NONE', MIN_VERSIONS => '0', TTL => '2147483647'                                     
- , KEEP_DELETED_CELLS => 'false', BLOCKSIZE => '65536', IN_MEMORY                                      
- => 'false', ENCODE_ON_DISK => 'true', BLOCKCACHE => 'true'}]}                                         
-1 row(s) in 0.0190 seconds</computeroutput>
-        </screen>
-      </example>
-
-      <para>The coprocessor framework will try to read the class information from the coprocessor
-        table attribute value. The value contains four pieces of information which are separated by
-        the <literal>|</literal> character.</para>
-
-      <itemizedlist>
-        <listitem>
-          <para>File path: The jar file containing the coprocessor implementation must be in a
-            location where all region servers can read it. You could copy the file onto the local
-            disk on each region server, but it is recommended to store it in HDFS.</para>
-        </listitem>
-        <listitem>
-          <para>Class name: The full class name of the coprocessor.</para>
-        </listitem>
-        <listitem>
-          <para>Priority: An integer. The framework will determine the execution sequence of all
-            configured observers registered at the same hook using priorities. This field can be
-            left blank. In that case the framework will assign a default priority value.</para>
-        </listitem>
-        <listitem>
-          <para>Arguments: This field is passed to the coprocessor implementation.</para>
-        </listitem>
-      </itemizedlist>
-      <example>
-        <title>Unload a Coprocessor From a Table Using HBase Shell</title>
-        <screen>
-hbase(main):007:0> <userinput>alter 't1', METHOD => 'table_att_unset',</userinput> 
-hbase(main):008:0*   <userinput>NAME => 'coprocessor$1'</userinput>
-<computeroutput>Updating all regions with the new schema...
-1/1 regions updated.
-Done.
-0 row(s) in 1.1130 seconds</computeroutput>
-
-hbase(main):009:0> <userinput>describe 't1'</userinput>
-<computeroutput>DESCRIPTION                                                        ENABLED                             
- {NAME => 't1', FAMILIES => [{NAME => 'c1', DATA_BLOCK_ENCODING => false                               
-  'NONE', BLOOMFILTER => 'NONE', REPLICATION_SCOPE => '0', VERSION                                     
- S => '3', COMPRESSION => 'NONE', MIN_VERSIONS => '0', TTL => '214                                     
- 7483647', KEEP_DELETED_CELLS => 'false', BLOCKSIZE => '65536', IN                                     
- _MEMORY => 'false', ENCODE_ON_DISK => 'true', BLOCKCACHE => 'true                                     
- '}, {NAME => 'f1', DATA_BLOCK_ENCODING => 'NONE', BLOOMFILTER =>                                      
- 'NONE', REPLICATION_SCOPE => '0', VERSIONS => '3', COMPRESSION =>                                     
-  'NONE', MIN_VERSIONS => '0', TTL => '2147483647', KEEP_DELETED_C                                     
- ELLS => 'false', BLOCKSIZE => '65536', IN_MEMORY => 'false', ENCO                                     
- DE_ON_DISK => 'true', BLOCKCACHE => 'true'}]}                                                         
-1 row(s) in 0.0180 seconds          </computeroutput>
-        </screen>
-      </example>
-      <warning>
-        <para>There is no guarantee that the framework will load a given coprocessor successfully.
-          For example, the shell command neither guarantees a jar file exists at a particular
-          location nor verifies whether the given class is actually contained in the jar file.
-        </para>
-      </warning>
-    </section>
-  </section>
-  <section>
-    <title>Check the Status of a Coprocessor</title>
-    <para>To check the status of a coprocessor after it has been configured, use the
-        <command>status</command> HBase Shell command.</para>
-    <screen>
-hbase(main):020:0> <userinput>status 'detailed'</userinput>
-<computeroutput>version 0.92-tm-6
-0 regionsInTransition
-master coprocessors: []
-1 live servers
-    localhost:52761 1328082515520
-        requestsPerSecond=3, numberOfOnlineRegions=3, usedHeapMB=32, maxHeapMB=995
-        -ROOT-,,0
-            numberOfStores=1, numberOfStorefiles=1, storefileUncompressedSizeMB=0, storefileSizeMB=0, memstoreSizeMB=0, 
-storefileIndexSizeMB=0, readRequestsCount=54, writeRequestsCount=1, rootIndexSizeKB=0, totalStaticIndexSizeKB=0, 
-totalStaticBloomSizeKB=0, totalCompactingKVs=0, currentCompactedKVs=0, compactionProgressPct=NaN, coprocessors=[]
-        .META.,,1
-            numberOfStores=1, numberOfStorefiles=0, storefileUncompressedSizeMB=0, storefileSizeMB=0, memstoreSizeMB=0, 
-storefileIndexSizeMB=0, readRequestsCount=97, writeRequestsCount=4, rootIndexSizeKB=0, totalStaticIndexSizeKB=0, 
-totalStaticBloomSizeKB=0, totalCompactingKVs=0, currentCompactedKVs=0, compactionProgressPct=NaN, coprocessors=[]
-        t1,,1328082575190.c0491168a27620ffe653ec6c04c9b4d1.
-            numberOfStores=2, numberOfStorefiles=1, storefileUncompressedSizeMB=0, storefileSizeMB=0, memstoreSizeMB=0, 
-storefileIndexSizeMB=0, readRequestsCount=0, writeRequestsCount=0, rootIndexSizeKB=0, totalStaticIndexSizeKB=0, 
-totalStaticBloomSizeKB=0, totalCompactingKVs=0, currentCompactedKVs=0, compactionProgressPct=NaN, 
-coprocessors=[AggregateImplementation]
-0 dead servers      </computeroutput>
-    </screen>
-  </section>
-  <section>
-    <title>Monitor Time Spent in Coprocessors</title>
-    <para>HBase 0.98.5 introduced the ability to monitor some statistics relating to the amount of
-      time spent executing a given coprocessor. You can see these statistics via the HBase Metrics
-      framework (see <xref linkend="hbase_metrics"/> or the Web UI for a given Region Server, via
-      the <guilabel>Coprocessor Metrics</guilabel> tab. These statistics are valuable for debugging
-      and benchmarking the performance impact of a given coprocessor on your cluster. Tracked
-      statistics include min, max, average, and 90th, 95th, and 99th percentile. All times are shown
-      in milliseconds. The statistics are calculated over coprocessor
-      execution samples recorded during the reporting interval, which is 10 seconds by default. The
-      metrics sampling rate as described in <xref linkend="hbase_metrics" />.</para>
-    <figure>
-      <title>Coprocessor Metrics UI</title>
-      <mediaobject>
-        <imageobject>
-          <imagedata fileref="coprocessor_stats.png" width="100%"/>
-        </imageobject>
-        <caption>
-          <para>The Coprocessor Metrics UI shows statistics about time spent executing a given
-            coprocessor, including min, max, average, and 90th, 95th, and 99th percentile.</para>
-        </caption>
-      </mediaobject>
-    </figure>
-  </section>
-  <section>
-    <title>Status of Coprocessors in HBase</title>
-    <para> Coprocessors and the coprocessor framework are evolving rapidly and work is ongoing on
-      several different JIRAs. </para>
-  </section>
-</chapter>

http://git-wip-us.apache.org/repos/asf/hbase/blob/0acbff24/src/main/docbkx/customization.xsl
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- * Licensed to the Apache Software Foundation (ASF) under one
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- * distributed with this work for additional information
- * regarding copyright ownership.  The ASF licenses this file
- * to you 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.
- */
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-  <xsl:import href="urn:docbkx:stylesheet"/>
-  <xsl:import href="urn:docbkx:stylesheet/highlight.xsl"/>
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