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| 7 | Overview (Hadoop 0.20.1 API) |
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| 41 | <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <FONT CLASS="NavBarFont1">Package</FONT> </TD> |
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| 42 | <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <FONT CLASS="NavBarFont1">Class</FONT> </TD> |
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| 80 | |
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| 81 | <HR> |
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| 82 | <CENTER> |
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| 83 | <H1> |
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| 84 | Hadoop 0.20.1 API |
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| 85 | </H1> |
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| 86 | </CENTER> |
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| 87 | Hadoop is a distributed computing platform. |
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| 88 | <P> |
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| 89 | <B>See:</B> |
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| 90 | <BR> |
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| 91 | <A HREF="#overview_description"><B>Description</B></A> |
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| 92 | <P> |
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| 93 | |
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| 94 | <TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""> |
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| 95 | <TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"> |
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| 96 | <TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2"> |
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| 97 | <B>Core</B></FONT></TH> |
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| 98 | </TR> |
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| 99 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 100 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/package-summary.html">org.apache.hadoop</A></B></TD> |
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| 101 | <TD> </TD> |
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| 102 | </TR> |
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| 103 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 104 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/conf/package-summary.html">org.apache.hadoop.conf</A></B></TD> |
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| 105 | <TD>Configuration of system parameters.</TD> |
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| 106 | </TR> |
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| 107 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 108 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/filecache/package-summary.html">org.apache.hadoop.filecache</A></B></TD> |
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| 109 | <TD> </TD> |
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| 110 | </TR> |
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| 111 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 112 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/fs/package-summary.html">org.apache.hadoop.fs</A></B></TD> |
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| 113 | <TD>An abstract file system API.</TD> |
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| 114 | </TR> |
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| 115 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 116 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/fs/ftp/package-summary.html">org.apache.hadoop.fs.ftp</A></B></TD> |
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| 117 | <TD> </TD> |
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| 118 | </TR> |
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| 119 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 120 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/fs/kfs/package-summary.html">org.apache.hadoop.fs.kfs</A></B></TD> |
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| 121 | <TD>A client for the Kosmos filesystem (KFS)</TD> |
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| 122 | </TR> |
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| 123 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 124 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/fs/permission/package-summary.html">org.apache.hadoop.fs.permission</A></B></TD> |
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| 125 | <TD> </TD> |
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| 126 | </TR> |
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| 127 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 128 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/fs/s3/package-summary.html">org.apache.hadoop.fs.s3</A></B></TD> |
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| 129 | <TD>A distributed, block-based implementation of <A HREF="org/apache/hadoop/fs/FileSystem.html" title="class in org.apache.hadoop.fs"><CODE>FileSystem</CODE></A> that uses <a href="http://aws.amazon.com/s3">Amazon S3</a> |
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| 130 | as a backing store.</TD> |
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| 131 | </TR> |
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| 132 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 133 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/fs/s3native/package-summary.html">org.apache.hadoop.fs.s3native</A></B></TD> |
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| 134 | <TD> |
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| 135 | A distributed implementation of <A HREF="org/apache/hadoop/fs/FileSystem.html" title="class in org.apache.hadoop.fs"><CODE>FileSystem</CODE></A> for reading and writing files on |
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| 136 | <a href="http://aws.amazon.com/s3">Amazon S3</a>.</TD> |
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| 137 | </TR> |
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| 138 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 139 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/fs/shell/package-summary.html">org.apache.hadoop.fs.shell</A></B></TD> |
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| 140 | <TD> </TD> |
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| 141 | </TR> |
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| 142 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 143 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/http/package-summary.html">org.apache.hadoop.http</A></B></TD> |
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| 144 | <TD> </TD> |
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| 145 | </TR> |
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| 146 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 147 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/io/package-summary.html">org.apache.hadoop.io</A></B></TD> |
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| 148 | <TD>Generic i/o code for use when reading and writing data to the network, |
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| 149 | to databases, and to files.</TD> |
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| 150 | </TR> |
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| 151 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 152 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/io/compress/package-summary.html">org.apache.hadoop.io.compress</A></B></TD> |
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| 153 | <TD> </TD> |
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| 154 | </TR> |
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| 155 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 156 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/io/compress/bzip2/package-summary.html">org.apache.hadoop.io.compress.bzip2</A></B></TD> |
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| 157 | <TD> </TD> |
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| 158 | </TR> |
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| 159 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 160 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/io/compress/zlib/package-summary.html">org.apache.hadoop.io.compress.zlib</A></B></TD> |
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| 161 | <TD> </TD> |
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| 162 | </TR> |
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| 163 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 164 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/io/file/tfile/package-summary.html">org.apache.hadoop.io.file.tfile</A></B></TD> |
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| 165 | <TD> </TD> |
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| 166 | </TR> |
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| 167 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 168 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/io/retry/package-summary.html">org.apache.hadoop.io.retry</A></B></TD> |
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| 169 | <TD> |
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| 170 | A mechanism for selectively retrying methods that throw exceptions under certain circumstances.</TD> |
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| 171 | </TR> |
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| 172 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 173 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/io/serializer/package-summary.html">org.apache.hadoop.io.serializer</A></B></TD> |
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| 174 | <TD> |
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| 175 | This package provides a mechanism for using different serialization frameworks |
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| 176 | in Hadoop.</TD> |
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| 177 | </TR> |
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| 178 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 179 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/ipc/package-summary.html">org.apache.hadoop.ipc</A></B></TD> |
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| 180 | <TD>Tools to help define network clients and servers.</TD> |
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| 181 | </TR> |
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| 182 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 183 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/ipc/metrics/package-summary.html">org.apache.hadoop.ipc.metrics</A></B></TD> |
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| 184 | <TD> </TD> |
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| 185 | </TR> |
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| 186 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 187 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/log/package-summary.html">org.apache.hadoop.log</A></B></TD> |
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| 188 | <TD> </TD> |
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| 189 | </TR> |
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| 190 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 191 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/mapred/package-summary.html">org.apache.hadoop.mapred</A></B></TD> |
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| 192 | <TD>A software framework for easily writing applications which process vast |
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| 193 | amounts of data (multi-terabyte data-sets) parallelly on large clusters |
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| 194 | (thousands of nodes) built of commodity hardware in a reliable, fault-tolerant |
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| 195 | manner.</TD> |
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| 196 | </TR> |
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| 197 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 198 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/mapred/jobcontrol/package-summary.html">org.apache.hadoop.mapred.jobcontrol</A></B></TD> |
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| 199 | <TD>Utilities for managing dependent jobs.</TD> |
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| 200 | </TR> |
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| 201 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 202 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/mapred/join/package-summary.html">org.apache.hadoop.mapred.join</A></B></TD> |
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| 203 | <TD>Given a set of sorted datasets keyed with the same class and yielding equal |
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| 204 | partitions, it is possible to effect a join of those datasets prior to the map.</TD> |
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| 205 | </TR> |
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| 206 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 207 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/mapred/lib/package-summary.html">org.apache.hadoop.mapred.lib</A></B></TD> |
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| 208 | <TD>Library of generally useful mappers, reducers, and partitioners.</TD> |
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| 209 | </TR> |
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| 210 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 211 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/mapred/lib/aggregate/package-summary.html">org.apache.hadoop.mapred.lib.aggregate</A></B></TD> |
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| 212 | <TD>Classes for performing various counting and aggregations.</TD> |
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| 213 | </TR> |
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| 214 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 215 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/mapred/lib/db/package-summary.html">org.apache.hadoop.mapred.lib.db</A></B></TD> |
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| 216 | <TD>org.apache.hadoop.mapred.lib.db Package</TD> |
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| 217 | </TR> |
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| 218 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 219 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/mapred/pipes/package-summary.html">org.apache.hadoop.mapred.pipes</A></B></TD> |
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| 220 | <TD>Hadoop Pipes allows C++ code to use Hadoop DFS and map/reduce.</TD> |
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| 221 | </TR> |
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| 222 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 223 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/mapred/tools/package-summary.html">org.apache.hadoop.mapred.tools</A></B></TD> |
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| 224 | <TD> </TD> |
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| 225 | </TR> |
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| 226 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 227 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/mapreduce/package-summary.html">org.apache.hadoop.mapreduce</A></B></TD> |
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| 228 | <TD> </TD> |
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| 229 | </TR> |
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| 230 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 231 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/mapreduce/lib/input/package-summary.html">org.apache.hadoop.mapreduce.lib.input</A></B></TD> |
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| 232 | <TD> </TD> |
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| 233 | </TR> |
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| 234 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 235 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/mapreduce/lib/map/package-summary.html">org.apache.hadoop.mapreduce.lib.map</A></B></TD> |
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| 236 | <TD> </TD> |
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| 237 | </TR> |
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| 238 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 239 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/mapreduce/lib/output/package-summary.html">org.apache.hadoop.mapreduce.lib.output</A></B></TD> |
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| 240 | <TD> </TD> |
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| 241 | </TR> |
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| 242 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 243 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/mapreduce/lib/partition/package-summary.html">org.apache.hadoop.mapreduce.lib.partition</A></B></TD> |
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| 244 | <TD> </TD> |
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| 245 | </TR> |
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| 246 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 247 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/mapreduce/lib/reduce/package-summary.html">org.apache.hadoop.mapreduce.lib.reduce</A></B></TD> |
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| 248 | <TD> </TD> |
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| 249 | </TR> |
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| 250 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 251 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/metrics/package-summary.html">org.apache.hadoop.metrics</A></B></TD> |
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| 252 | <TD>This package defines an API for reporting performance metric information.</TD> |
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| 253 | </TR> |
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| 254 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 255 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/metrics/file/package-summary.html">org.apache.hadoop.metrics.file</A></B></TD> |
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| 256 | <TD>Implementation of the metrics package that writes the metrics to a file.</TD> |
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| 257 | </TR> |
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| 258 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 259 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/metrics/ganglia/package-summary.html">org.apache.hadoop.metrics.ganglia</A></B></TD> |
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| 260 | <TD>Implementation of the metrics package that sends metric data to |
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| 261 | <a href="http://ganglia.sourceforge.net/">Ganglia</a>.</TD> |
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| 262 | </TR> |
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| 263 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 264 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/metrics/jvm/package-summary.html">org.apache.hadoop.metrics.jvm</A></B></TD> |
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| 265 | <TD> </TD> |
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| 266 | </TR> |
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| 267 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 268 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/metrics/spi/package-summary.html">org.apache.hadoop.metrics.spi</A></B></TD> |
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| 269 | <TD>The Service Provider Interface for the Metrics API.</TD> |
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| 270 | </TR> |
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| 271 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 272 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/metrics/util/package-summary.html">org.apache.hadoop.metrics.util</A></B></TD> |
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| 273 | <TD> </TD> |
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| 274 | </TR> |
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| 275 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 276 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/net/package-summary.html">org.apache.hadoop.net</A></B></TD> |
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| 277 | <TD>Network-related classes.</TD> |
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| 278 | </TR> |
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| 279 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 280 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/record/package-summary.html">org.apache.hadoop.record</A></B></TD> |
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| 281 | <TD>Hadoop record I/O contains classes and a record description language |
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| 282 | translator for simplifying serialization and deserialization of records in a |
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| 283 | language-neutral manner.</TD> |
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| 284 | </TR> |
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| 285 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 286 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/record/compiler/package-summary.html">org.apache.hadoop.record.compiler</A></B></TD> |
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| 287 | <TD>This package contains classes needed for code generation |
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| 288 | from the hadoop record compiler.</TD> |
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| 289 | </TR> |
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| 290 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 291 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/record/compiler/ant/package-summary.html">org.apache.hadoop.record.compiler.ant</A></B></TD> |
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| 292 | <TD> </TD> |
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| 293 | </TR> |
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| 294 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 295 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/record/compiler/generated/package-summary.html">org.apache.hadoop.record.compiler.generated</A></B></TD> |
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| 296 | <TD>This package contains code generated by JavaCC from the |
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| 297 | Hadoop record syntax file rcc.jj.</TD> |
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| 298 | </TR> |
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| 299 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 300 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/record/meta/package-summary.html">org.apache.hadoop.record.meta</A></B></TD> |
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| 301 | <TD> </TD> |
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| 302 | </TR> |
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| 303 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 304 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/security/package-summary.html">org.apache.hadoop.security</A></B></TD> |
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| 305 | <TD> </TD> |
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| 306 | </TR> |
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| 307 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 308 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/security/authorize/package-summary.html">org.apache.hadoop.security.authorize</A></B></TD> |
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| 309 | <TD> </TD> |
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| 310 | </TR> |
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| 311 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 312 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/util/package-summary.html">org.apache.hadoop.util</A></B></TD> |
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| 313 | <TD>Common utilities.</TD> |
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| 314 | </TR> |
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| 315 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 316 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/util/bloom/package-summary.html">org.apache.hadoop.util.bloom</A></B></TD> |
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| 317 | <TD> </TD> |
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| 318 | </TR> |
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| 319 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 320 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/util/hash/package-summary.html">org.apache.hadoop.util.hash</A></B></TD> |
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| 321 | <TD> </TD> |
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| 322 | </TR> |
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| 323 | </TABLE> |
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| 324 | |
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| 325 | <P> |
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| 326 | |
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| 327 | <TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""> |
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| 328 | <TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"> |
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| 329 | <TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2"> |
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| 330 | <B>Examples</B></FONT></TH> |
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| 331 | </TR> |
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| 332 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 333 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/examples/package-summary.html">org.apache.hadoop.examples</A></B></TD> |
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| 334 | <TD>Hadoop example code.</TD> |
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| 335 | </TR> |
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| 336 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 337 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/examples/dancing/package-summary.html">org.apache.hadoop.examples.dancing</A></B></TD> |
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| 338 | <TD>This package is a distributed implementation of Knuth's <a |
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| 339 | href="http://en.wikipedia.org/wiki/Dancing_Links">dancing links</a> |
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| 340 | algorithm that can run under Hadoop.</TD> |
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| 341 | </TR> |
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| 342 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 343 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/examples/terasort/package-summary.html">org.apache.hadoop.examples.terasort</A></B></TD> |
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| 344 | <TD>This package consists of 3 map/reduce applications for Hadoop to |
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| 345 | compete in the annual <a |
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| 346 | href="http://www.hpl.hp.com/hosted/sortbenchmark" target="_top">terabyte sort</a> |
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| 347 | competition.</TD> |
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| 348 | </TR> |
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| 349 | </TABLE> |
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| 350 | |
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| 351 | <P> |
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| 352 | |
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| 353 | <TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""> |
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| 354 | <TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"> |
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| 355 | <TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2"> |
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| 356 | <B>contrib: Streaming</B></FONT></TH> |
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| 357 | </TR> |
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| 358 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 359 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/streaming/package-summary.html">org.apache.hadoop.streaming</A></B></TD> |
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| 360 | <TD><tt>Hadoop Streaming</tt> is a utility which allows users to create and run |
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| 361 | Map-Reduce jobs with any executables (e.g.</TD> |
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| 362 | </TR> |
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| 363 | </TABLE> |
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| 364 | |
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| 365 | <P> |
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| 366 | |
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| 367 | <TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""> |
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| 368 | <TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"> |
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| 369 | <TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2"> |
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| 370 | <B>contrib: DataJoin</B></FONT></TH> |
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| 371 | </TR> |
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| 372 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 373 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/contrib/utils/join/package-summary.html">org.apache.hadoop.contrib.utils.join</A></B></TD> |
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| 374 | <TD> </TD> |
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| 375 | </TR> |
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| 376 | </TABLE> |
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| 377 | |
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| 378 | <P> |
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| 379 | |
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| 380 | <TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""> |
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| 381 | <TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"> |
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| 382 | <TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2"> |
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| 383 | <B>contrib: Index</B></FONT></TH> |
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| 384 | </TR> |
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| 385 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 386 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/contrib/index/example/package-summary.html">org.apache.hadoop.contrib.index.example</A></B></TD> |
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| 387 | <TD> </TD> |
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| 388 | </TR> |
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| 389 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 390 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/contrib/index/lucene/package-summary.html">org.apache.hadoop.contrib.index.lucene</A></B></TD> |
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| 391 | <TD> </TD> |
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| 392 | </TR> |
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| 393 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 394 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/contrib/index/main/package-summary.html">org.apache.hadoop.contrib.index.main</A></B></TD> |
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| 395 | <TD> </TD> |
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| 396 | </TR> |
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| 397 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 398 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/contrib/index/mapred/package-summary.html">org.apache.hadoop.contrib.index.mapred</A></B></TD> |
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| 399 | <TD> </TD> |
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| 400 | </TR> |
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| 401 | </TABLE> |
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| 402 | |
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| 403 | <P> |
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| 404 | |
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| 405 | <TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""> |
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| 406 | <TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"> |
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| 407 | <TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2"> |
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| 408 | <B>contrib: FailMon</B></FONT></TH> |
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| 409 | </TR> |
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| 410 | <TR BGCOLOR="white" CLASS="TableRowColor"> |
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| 411 | <TD WIDTH="20%"><B><A HREF="org/apache/hadoop/contrib/failmon/package-summary.html">org.apache.hadoop.contrib.failmon</A></B></TD> |
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| 412 | <TD> </TD> |
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| 413 | </TR> |
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| 414 | </TABLE> |
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| 415 | |
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| 416 | <P> |
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| 417 | <A NAME="overview_description"><!-- --></A> |
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| 418 | <P> |
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| 419 | Hadoop is a distributed computing platform. |
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| 420 | |
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| 421 | <p>Hadoop primarily consists of the <a |
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| 422 | href="org/apache/hadoop/hdfs/package-summary.html">Hadoop Distributed FileSystem |
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| 423 | (HDFS)</a> and an |
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| 424 | implementation of the <a href="org/apache/hadoop/mapred/package-summary.html"> |
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| 425 | Map-Reduce</a> programming paradigm.</p> |
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| 426 | |
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| 427 | |
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| 428 | <p>Hadoop is a software framework that lets one easily write and run applications |
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| 429 | that process vast amounts of data. Here's what makes Hadoop especially useful:</p> |
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| 430 | <ul> |
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| 431 | <li> |
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| 432 | <b>Scalable</b>: Hadoop can reliably store and process petabytes. |
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| 433 | </li> |
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| 434 | <li> |
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| 435 | <b>Economical</b>: It distributes the data and processing across clusters |
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| 436 | of commonly available computers. These clusters can number into the thousands |
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| 437 | of nodes. |
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| 438 | </li> |
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| 439 | <li> |
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| 440 | <b>Efficient</b>: By distributing the data, Hadoop can process it in parallel |
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| 441 | on the nodes where the data is located. This makes it extremely rapid. |
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| 442 | </li> |
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| 443 | <li> |
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| 444 | <b>Reliable</b>: Hadoop automatically maintains multiple copies of data and |
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| 445 | automatically redeploys computing tasks based on failures. |
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| 446 | </li> |
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| 447 | </ul> |
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| 448 | |
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| 449 | <h2>Requirements</h2> |
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| 450 | |
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| 451 | <h3>Platforms</h3> |
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| 452 | |
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| 453 | <ul> |
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| 454 | <li> |
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| 455 | Hadoop was been demonstrated on GNU/Linux clusters with 2000 nodes. |
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| 456 | </li> |
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| 457 | <li> |
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| 458 | Win32 is supported as a <i>development</i> platform. Distributed operation |
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| 459 | has not been well tested on Win32, so this is not a <i>production</i> |
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| 460 | platform. |
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| 461 | </li> |
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| 462 | </ul> |
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| 463 | |
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| 464 | <h3>Requisite Software</h3> |
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| 465 | |
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| 466 | <ol> |
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| 467 | <li> |
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| 468 | Java 1.6.x, preferably from |
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| 469 | <a href="http://java.sun.com/javase/downloads/">Sun</a>. |
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| 470 | Set <tt>JAVA_HOME</tt> to the root of your Java installation. |
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| 471 | </li> |
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| 472 | <li> |
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| 473 | ssh must be installed and sshd must be running to use Hadoop's |
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| 474 | scripts to manage remote Hadoop daemons. |
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| 475 | </li> |
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| 476 | <li> |
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| 477 | rsync may be installed to use Hadoop's scripts to manage remote |
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| 478 | Hadoop installations. |
---|
| 479 | </li> |
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| 480 | </ol> |
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| 481 | |
---|
| 482 | <h4>Additional requirements for Windows</h4> |
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| 483 | |
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| 484 | <ol> |
---|
| 485 | <li> |
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| 486 | <a href="http://www.cygwin.com/">Cygwin</a> - Required for shell support in |
---|
| 487 | addition to the required software above. |
---|
| 488 | </li> |
---|
| 489 | </ol> |
---|
| 490 | |
---|
| 491 | <h3>Installing Required Software</h3> |
---|
| 492 | |
---|
| 493 | <p>If your platform does not have the required software listed above, you |
---|
| 494 | will have to install it.</p> |
---|
| 495 | |
---|
| 496 | <p>For example on Ubuntu Linux:</p> |
---|
| 497 | <p><blockquote><pre> |
---|
| 498 | $ sudo apt-get install ssh<br> |
---|
| 499 | $ sudo apt-get install rsync<br> |
---|
| 500 | </pre></blockquote></p> |
---|
| 501 | |
---|
| 502 | <p>On Windows, if you did not install the required software when you |
---|
| 503 | installed cygwin, start the cygwin installer and select the packages:</p> |
---|
| 504 | <ul> |
---|
| 505 | <li>openssh - the "Net" category</li> |
---|
| 506 | <li>rsync - the "Net" category</li> |
---|
| 507 | </ul> |
---|
| 508 | |
---|
| 509 | <h2>Getting Started</h2> |
---|
| 510 | |
---|
| 511 | <p>First, you need to get a copy of the Hadoop code.</p> |
---|
| 512 | |
---|
| 513 | <p>Edit the file <tt>conf/hadoop-env.sh</tt> to define at least |
---|
| 514 | <tt>JAVA_HOME</tt>.</p> |
---|
| 515 | |
---|
| 516 | <p>Try the following command:</p> |
---|
| 517 | <tt>bin/hadoop</tt> |
---|
| 518 | <p>This will display the documentation for the Hadoop command script.</p> |
---|
| 519 | |
---|
| 520 | <h2>Standalone operation</h2> |
---|
| 521 | |
---|
| 522 | <p>By default, Hadoop is configured to run things in a non-distributed |
---|
| 523 | mode, as a single Java process. This is useful for debugging, and can |
---|
| 524 | be demonstrated as follows:</p> |
---|
| 525 | <tt> |
---|
| 526 | mkdir input<br> |
---|
| 527 | cp conf/*.xml input<br> |
---|
| 528 | bin/hadoop jar hadoop-*-examples.jar grep input output 'dfs[a-z.]+'<br> |
---|
| 529 | cat output/* |
---|
| 530 | </tt> |
---|
| 531 | <p>This will display counts for each match of the <a |
---|
| 532 | href="http://java.sun.com/j2se/1.4.2/docs/api/java/util/regex/Pattern.html"> |
---|
| 533 | regular expression.</a></p> |
---|
| 534 | |
---|
| 535 | <p>Note that input is specified as a <em>directory</em> containing input |
---|
| 536 | files and that output is also specified as a directory where parts are |
---|
| 537 | written.</p> |
---|
| 538 | |
---|
| 539 | <h2>Distributed operation</h2> |
---|
| 540 | |
---|
| 541 | To configure Hadoop for distributed operation you must specify the |
---|
| 542 | following: |
---|
| 543 | |
---|
| 544 | <ol> |
---|
| 545 | |
---|
| 546 | <li>The NameNode (Distributed Filesystem master) host. This is |
---|
| 547 | specified with the configuration property <tt><a |
---|
| 548 | href="../core-default.html#fs.default.name">fs.default.name</a></tt>. |
---|
| 549 | </li> |
---|
| 550 | |
---|
| 551 | <li>The <A HREF="org/apache/hadoop/mapred/JobTracker.html" title="class in org.apache.hadoop.mapred"><CODE>JobTracker</CODE></A> (MapReduce master) |
---|
| 552 | host and port. This is specified with the configuration property |
---|
| 553 | <tt><a |
---|
| 554 | href="../mapred-default.html#mapred.job.tracker">mapred.job.tracker</a></tt>. |
---|
| 555 | </li> |
---|
| 556 | |
---|
| 557 | <li>A <em>slaves</em> file that lists the names of all the hosts in |
---|
| 558 | the cluster. The default slaves file is <tt>conf/slaves</tt>. |
---|
| 559 | |
---|
| 560 | </ol> |
---|
| 561 | |
---|
| 562 | <h3>Pseudo-distributed configuration</h3> |
---|
| 563 | |
---|
| 564 | You can in fact run everything on a single host. To run things this |
---|
| 565 | way, put the following in: |
---|
| 566 | <br/> |
---|
| 567 | <br/> |
---|
| 568 | conf/core-site.xml: |
---|
| 569 | <xmp><configuration> |
---|
| 570 | |
---|
| 571 | <property> |
---|
| 572 | <name>fs.default.name</name> |
---|
| 573 | <value>hdfs://localhost/</value> |
---|
| 574 | </property> |
---|
| 575 | |
---|
| 576 | </configuration></xmp> |
---|
| 577 | |
---|
| 578 | conf/hdfs-site.xml: |
---|
| 579 | <xmp><configuration> |
---|
| 580 | |
---|
| 581 | <property> |
---|
| 582 | <name>dfs.replication</name> |
---|
| 583 | <value>1</value> |
---|
| 584 | </property> |
---|
| 585 | |
---|
| 586 | </configuration></xmp> |
---|
| 587 | |
---|
| 588 | conf/mapred-site.xml: |
---|
| 589 | <xmp><configuration> |
---|
| 590 | |
---|
| 591 | <property> |
---|
| 592 | <name>mapred.job.tracker</name> |
---|
| 593 | <value>localhost:9001</value> |
---|
| 594 | </property> |
---|
| 595 | |
---|
| 596 | </configuration></xmp> |
---|
| 597 | |
---|
| 598 | <p>(We also set the HDFS replication level to 1 in order to |
---|
| 599 | reduce warnings when running on a single node.)</p> |
---|
| 600 | |
---|
| 601 | <p>Now check that the command <br><tt>ssh localhost</tt><br> does not |
---|
| 602 | require a password. If it does, execute the following commands:</p> |
---|
| 603 | |
---|
| 604 | <p><tt>ssh-keygen -t dsa -P '' -f ~/.ssh/id_dsa<br> |
---|
| 605 | cat ~/.ssh/id_dsa.pub >> ~/.ssh/authorized_keys |
---|
| 606 | </tt></p> |
---|
| 607 | |
---|
| 608 | <h3>Bootstrapping</h3> |
---|
| 609 | |
---|
| 610 | <p>A new distributed filesystem must be formatted with the following |
---|
| 611 | command, run on the master node:</p> |
---|
| 612 | |
---|
| 613 | <p><tt>bin/hadoop namenode -format</tt></p> |
---|
| 614 | |
---|
| 615 | <p>The Hadoop daemons are started with the following command:</p> |
---|
| 616 | |
---|
| 617 | <p><tt>bin/start-all.sh</tt></p> |
---|
| 618 | |
---|
| 619 | <p>Daemon log output is written to the <tt>logs/</tt> directory.</p> |
---|
| 620 | |
---|
| 621 | <p>Input files are copied into the distributed filesystem as follows:</p> |
---|
| 622 | |
---|
| 623 | <p><tt>bin/hadoop fs -put input input</tt></p> |
---|
| 624 | |
---|
| 625 | <h3>Distributed execution</h3> |
---|
| 626 | |
---|
| 627 | <p>Things are run as before, but output must be copied locally to |
---|
| 628 | examine it:</p> |
---|
| 629 | |
---|
| 630 | <tt> |
---|
| 631 | bin/hadoop jar hadoop-*-examples.jar grep input output 'dfs[a-z.]+'<br> |
---|
| 632 | bin/hadoop fs -get output output |
---|
| 633 | cat output/* |
---|
| 634 | </tt> |
---|
| 635 | |
---|
| 636 | <p>When you're done, stop the daemons with:</p> |
---|
| 637 | |
---|
| 638 | <p><tt>bin/stop-all.sh</tt></p> |
---|
| 639 | |
---|
| 640 | <h3>Fully-distributed operation</h3> |
---|
| 641 | |
---|
| 642 | <p>Fully distributed operation is just like the pseudo-distributed operation |
---|
| 643 | described above, except, specify:</p> |
---|
| 644 | |
---|
| 645 | <ol> |
---|
| 646 | |
---|
| 647 | <li>The hostname or IP address of your master server in the value |
---|
| 648 | for <tt><a |
---|
| 649 | href="../core-default.html#fs.default.name">fs.default.name</a></tt>, |
---|
| 650 | as <tt><em>hdfs://master.example.com/</em></tt> in <tt>conf/core-site.xml</tt>.</li> |
---|
| 651 | |
---|
| 652 | <li>The host and port of the your master server in the value |
---|
| 653 | of <tt><a href="../mapred-default.html#mapred.job.tracker">mapred.job.tracker</a></tt> |
---|
| 654 | as <tt><em>master.example.com</em>:<em>port</em></tt> in <tt>conf/mapred-site.xml</tt>.</li> |
---|
| 655 | |
---|
| 656 | <li>Directories for <tt><a |
---|
| 657 | href="../hdfs-default.html#dfs.name.dir">dfs.name.dir</a></tt> and |
---|
| 658 | <tt><a href="../hdfs-default.html#dfs.data.dir">dfs.data.dir</a> |
---|
| 659 | in <tt>conf/hdfs-site.xml</tt>. |
---|
| 660 | </tt>These are local directories used to hold distributed filesystem |
---|
| 661 | data on the master node and slave nodes respectively. Note |
---|
| 662 | that <tt>dfs.data.dir</tt> may contain a space- or comma-separated |
---|
| 663 | list of directory names, so that data may be stored on multiple local |
---|
| 664 | devices.</li> |
---|
| 665 | |
---|
| 666 | <li><tt><a href="../mapred-default.html#mapred.local.dir">mapred.local.dir</a></tt> |
---|
| 667 | in <tt>conf/mapred-site.xml</tt>, the local directory where temporary |
---|
| 668 | MapReduce data is stored. It also may be a list of directories.</li> |
---|
| 669 | |
---|
| 670 | <li><tt><a |
---|
| 671 | href="../mapred-default.html#mapred.map.tasks">mapred.map.tasks</a></tt> |
---|
| 672 | and <tt><a |
---|
| 673 | href="../mapred-default.html#mapred.reduce.tasks">mapred.reduce.tasks</a></tt> |
---|
| 674 | in <tt>conf/mapred-site.xml</tt>. |
---|
| 675 | As a rule of thumb, use 10x the |
---|
| 676 | number of slave processors for <tt>mapred.map.tasks</tt>, and 2x the |
---|
| 677 | number of slave processors for <tt>mapred.reduce.tasks</tt>.</li> |
---|
| 678 | |
---|
| 679 | </ol> |
---|
| 680 | |
---|
| 681 | <p>Finally, list all slave hostnames or IP addresses in your |
---|
| 682 | <tt>conf/slaves</tt> file, one per line. Then format your filesystem |
---|
| 683 | and start your cluster on your master node, as above. |
---|
| 684 | <P> |
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| 685 | |
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| 686 | <P> |
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| 687 | <HR> |
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