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Un bzip and un tar copied into HDFS. har file extension, details about the 2009 results Archives, 72audit logging, 280 limitations of, 73 backups, Discount - Ashampoo Photo Optimizer 2 distribution over Hadoop on, 42datanodes, 284 HarFileSystem, objects, 434blocks, 43 class, 98, 181 from, 63 default, using files to, 66 68 operations, 45 75 Java, 351datanode block scanner, 283 2 REST and data model, 344design of, 41 locking, 280 regions, 345 file defined, 13formatting, 469 fsck utility, 281 Hadoop Archives, 71 schemas for Stations 366 tables, 354HTTP and FTP interfaces, 50 and exclude file slaves, and coordinating master,installation, MapReduce installation 346250 operation of HBase, namenodes and datanodes, 44 testing, 349 parallel copying practical issues running directory structure, 277 273 design, 368 structure, UI, 367relationship between input splits and RDBMS versus, 361safe mode, Index Scribe integration with, 425 stopping the daemon, 469 upgrading, 297 checking function, Java MapReduce, 21 checking upgrade progress, 298 discount function, Java MapReduce, 22 finalizing the upgrade, 299 rolling 298setting types for MapReduce jobs, 178 MapReduce jobs, 182 in procedure, 297writing and reduce tasks, writing of reduce phase 173 hdfs default.xml file, 121 idempotent discount site.xml file, 121, 252 395 133 IdentityMapper class, 180 IdentityReducer class, 182 Hive, interface description language, 307 image analysis, 8 improvements to, 425 include file, 294 precedence in HDFS, 295 in Nutch, custom Hive, 422 437 indexing for Text class, 91 HPC 147IndexWriter class, addIndexes class, 351initialization, MapReduce - 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