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For the framework to be able to distribute pieces of the job to multiple machines, it needs to fragment the input into individual pieces, which can in turn be provided as input to the individual distributed tasks. Each fragment of input is called an input split. The default rules for how input splits are constructed from the actual input files are a combination of configuration parameters and the capabilities of the class that actually reads the input records. These parameters are covered in 6. An input split will normally be a contiguous group of records from a single input file, and in this case, there will be at least N input splits, where N is the number of input files. If the number of requested map tasks is larger than this number, or the individual files are larger than the suggested fragment size, there may be multiple input splits constructed of each input file. The user has considerable control over the number of input splits. The number and size of the input splits strongly influence overall job performance.

We called the set method of the list element, passing in 'html' to tell it that we want to modify the HTML source of the element We also passed a second argument, htmlString, which contains the actual HTML source string we want to insert This code will produce a DOM Tree section like this: <ul id="list"> <li>Item A</li> </ul> Setting the HTML source of the element will create new elements, and we can then use the selector functions to select the new elements and manipulate them as we would with elements that are already in the tree This technique is the fastest way to create new elements, and it is the preferred method to use for really large element insertions such as updating the document using HTML responses from XMLHttpRequest.

The Hadoop framework provides a very simple map function, called IdentityMapper. It is used in jobs that only need to reduce the input, and not transform the raw input. We

designed, but once the form is submitted to a SharePoint forms library, the experience to the user is transparent.

Internally, set('html') works by setting the innerHTML property of the element, which is fast because it s a simple assignment statement However, this method is not the holy grail of element creation For one, it changes the actual structure of your element by replacing its internal HTML source: any child nodes inside the element will be destroyed and replaced with the new HTML While this is fine in some cases, most of the time you ll want to keep structure, so simply replacing the HTML source of an element won t suffice The second technique involves cloning an already existing element using the clone method Take, for instance, the following section: <ul id="list"> <li>Item A</li> <li>Item B</li> </ul> Now we simply want to add a new list item to the list, without destroying the original list items.

are going to examine the code of the IdentityMapper class, shown in Listing 2-2, in this section. If you have downloaded a Hadoop Core installation and followed the instructions in 1, this code is also available in the directory where you installed it, ${HADOOP_HOME}/src/mapred/org/apache/hadoop/mapred/lib/IdentityMapper.java. Listing 2-2. IdentityMapper.java /** * 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. */ package org.apache.hadoop.mapred.lib; import java.io.IOException; import import import import org.apache.hadoop.mapred.Mapper; org.apache.hadoop.mapred.OutputCollector; org.apache.hadoop.mapred.Reporter; org.apache.hadoop.mapred.MapReduceBase;