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Showing posts with the label MapReduce Jobs

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How to Compare Text in Python

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Python like other programming languages supports comparison operators. These primarily use to test the condition in the program. Here's a list of operators that you can use in python programs. Comparison operators List of operators < <= > >= == != Is is not How to use comparison operators Here, I have assigned 23 to a and 11 to b. Then, I did apply all the comparison operators. The output is self-explanatory, and If you are in doubt while programming, remember to visit this page. Examples a = 23 b = 11 print("Is a greater than b?", a > b)           #greater than print("Is a less than b?", a < b)              #less than print("Is a greater or equal to b?", a >= b)   #greater or equal print("Is a less or equal to b?", a <= b)      #less or equal print("Is a equal to b (option 1)?", a == b)         #test for equality print("Is a equal to b (option 2)?", a is b)         #test for equality print("I

Top requirements for successful MapReduce jobs

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The following techniques are needed to be successful of your map reduce jobs: The mapper must be able to ingest the input and process the input record, sending forward the records that can be passed to the reduce task or to the final output directly, if no reduce step is required. Hadoop-MapReduce The reducer must be able to accept the key and value groups that passed through the mapper, and generate the final output of this MapReduce step. The job must be configured with the location and type of the input data, the mapper class to use, the number of reduce tasks required, and the reducer class and I/O types. The TaskTracker service will actually run your map and reduce tasks, and the JobTracker service will distribute the tasks and their input split to the various trackers. The cluster must be configured with the nodes that will run the TaskTrackers, and with the number of TaskTrackers to run per node. The TaskTrackers need to be configured with the JVM parameters, includ