Data Structures & Algorithms in Java by Mitchell Waite, Robert Lafore

By Mitchell Waite, Robert Lafore

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For each input partition, the SQL/MR partition function may output zero or more rows. 4 SCOPE SCOPE (Structured Computations Optimized for Parallel Execution) is a scripting language which is targeted for large-scale data analysis and is used for a variety of data analysis and data mining applications inside Microsoft [13]. SCOPE is a declarative language. It allows users to focus on the data transformations required to solve the problem at hand and hides the complexity of the underlying platform and implementation details.

Task Queue Remote communication Local communication Identical to Hadoop Modified from Hadoop New in HaLoop Fig. 8 An overview of the HaLoop architecture [11] • Even though much of the data may be unchanged from iteration to iteration, the data must be re-loaded and re-processed at each iteration, wasting I/O, network bandwidth and CPU resources. • The termination condition may involve the detection of when a fixpoint has been reached. This condition may itself require an extra MapReduce job on each iteration, again incurring overhead in terms of scheduling extra tasks, reading extra data from disk and moving data across the network.

However, the basic architecture suffers from certain limitations. Dean and Ghemawat [18] reported a set of possible improvements that need to be incorporated into the MapReduce framework. These include: • MapReduce should take advantage of natural indices whenever possible. • Most MapReduce output should be left unmerged since there is no benefit of merging them if the next consumer is just another MapReduce program. • MapReduce users should avoid using inefficient textual formats. 8 S. Sakr and A.

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