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} The original concept was to take the search requests, feed them through the RangePartitioningTransformingMapper using RangePartitionTransformingMapper as a driver class, convert the search space records into a sorted and partitioned dataset, run another MapReduce job over the incoming search requests, and then perform a map-side join on the resulting datasets. After working with the data for a short time, I realized that the search space was so small that it wasn t worth the extra complexity or time to have an additional step for presorting the search space records. I decided to simply add this mapper as part of the mapper chain, and read the search space records as input with the search request records. The configuration changes to BruteForceMapReduceDriver are shown in the next section.



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exec sp_addextendedproperty 'Description', 'List of Employees and Consultants', 'schema', 'dbo', 'table', 'Employees', Null, Null The syntax for this stored procedure is very simple. It follows the pattern in Listing 7-3.





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The class PartitionedTextKeyHelperWithSeparators will be the new KeyHelper and will support carrying the original key data, so that the output records can be provided with the actual network range instead of that portion of the network range that fits in this partition. A new record format needs to be designed that can carry the additional data. The key format for the search space keys has been begin:end, where begin and end are the first and last addresses of the network, each an eight-digit hexadecimal number. For example, 0.0.0.0 would be 00000000, 255.255.255.255 would be ffffffff, and the search space key representing the entire IPv4 address space would be 00000000:ffffffff. To allow partitioning, the search case keys must match keys in a particular partition. My first idea on how to address this was to just have four values instead of two, with the same separator between each. The full code for that version is in com.apress.hadoopbook.examples.ch9.PartitionedTextKeyHelperWithSeparators.java, available with the rest of the downloadable code for this book. The code for the first design must be modified to examine a configuration parameter, range.key.helper, and instantiate the value as a class, defaulting to the TextKeyHelperWithSeparators class. Listing 9-17 provides an example of this from ApacheLogTransformMapper. Listing 9-17. Modifications to Load a Key Helper Based on the Value of range.key.helper public void configure(JobConf conf) { super.configure(conf); helper = ReflectionUtils.newInstance(conf.getClass("range.key.helper", TextKeyHelperWithSeparators.class, TextKeyHelperWithSeparators.class),conf);

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Note The appendix lists all supported obfuscators. You can integrate unsupported obfuscators by using

The existing mapper and reducer classes are modified to instantiate their KeyHelper class based on a configuration property, range.key.helper, defaulting to TextKeyHelperWithSeparators. BruteForceMapReduceDriver is modified to set the range.key. helper configuration parameter value to PartitionedTextKeyHelperWithSeparators when the number of reduce tasks is more than one. This leaves the old behavior intact, while allowing multiple reduce tasks. In Listing 9-18, the configuration key range.key.helper is set to be our partitioning class by conf.setClass("range.key.helper", PartitionedTextKeyHelperWithSeparators.class, KeyHelper.class), and an additional map is placed in the chain, to span the search space keys: ChainMapper.addMapper(conf, RangePartitionTransformingMapper.class, Text.class, Text.class, Text.class, Text.class, false, dummyConf) Listing 9-18. Modifications to the Setup Method in BruteForceMapReduceDriver.java if (conf.getNumReduceTasks()!=1) { /** If more that one reduce is to be run, the spanning partitioner must be used. */ conf.setClass("range.key.helper", PartitionedTextKeyHelperWithSeparators.class, KeyHelper.class); /** Add in the map that takes incoming search space records and spans them * across the partitions */ ChainMapper.addMapper(conf, RangePartitionTransformingMapper.class, Text.class, Text.class, Text.class, Text.class, false, dummyConf); dummyConf.clear(); } The reducer, ReducerForStandardComparator.java, does not need any changes, but the ActiveRanges class, which provides the hit method, does. In Listing 9-19, we simplify it to make it aware of the PartitionedTextKeyHelperWithSeparators class, and in that case, to use the real begin and end ranges for a search space request, rather than the per-partition begin and end ranges. If many types of keys are used, this method will quickly become excessively complex. In this case, there is only one type of key, so we can defer that code cleanup to a future that may not come. Listing 9-19. Modifications to ActiveRanges.activate to Support the Partition Spanned Search Space Keys if (helper instanceof PartitionedTextKeyHelperWithSeparators) { begin = ((PartitionedTextKeyHelperWithSeparators)helper).getRealRangeBegin(); end = ((PartitionedTextKeyHelperWithSeparators)helper).getRealRangeEnd(); } else { begin = helper.getBeginRange(); end = helper.getEndRange(); }

the antcall mechanism, by which you can call another target within your build.xml script: <obfuscator name="antcall" target="obfuscate" />. 13 provides more details about this extension mechanism.

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