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Home > External Memory Algorithms: Join Algorithms, External Sorting, Sort-Merge Join, Hash Join, Block Nested Loop(English)
External Memory Algorithms: Join Algorithms, External Sorting, Sort-Merge Join, Hash Join, Block Nested Loop(English)

External Memory Algorithms: Join Algorithms, External Sorting, Sort-Merge Join, Hash Join, Block Nested Loop(English)

          
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About the Book

Chapters: Join Algorithms, External Sorting, Sort-Merge Join, Hash Join, Block Nested Loop. Source: Wikipedia. Pages: 21. Not illustrated. Free updates online. Purchase includes a free trial membership in the publisher's book club where you can select from more than a million books without charge. Excerpt: External sorting is a term for a class of sorting algorithms that can handle massive amounts of data. External sorting is required when the data being sorted do not fit into the main memory of a computing device (usually RAM) and instead they must reside in the slower external memory (usually a hard drive). External sorting typically uses a sort-merge strategy. In the sorting phase, chunks of data small enough to fit in main memory are read, sorted, and written out to a temporary file. In the merge phase, the sorted subfiles are combined into a single larger file. One example of external sorting is the external mergesort algorithm. For example, for sorting 900 megabytes of data using only 100 megabytes of RAM: That example shows a one-pass sort. For sorting, say, 50 GB in 100 MB of RAM, a one-pass sort wouldn't be efficient: the disk seeks required to fill the input buffers with data from each chunk would take up most of the sort time. Multi-pass sorting solves the problem. For example, to avoid doing a 500-way merge, a program could: Like in-memory sorts, efficient external sorts require n log n time; exponential increases in data size require linear increases in the number of passes. If one makes liberal use of the gigabytes of RAM provided by modern computers, the logarithmic factor grows very slowly: under reasonable assumptions, one could sort at least 500 GB of data using 1 GB of main memory before a second pass became advantageous, and could sort many times that before a third pass became useful. The Sort Benchmark, created by computer scientist Jim Gray, compares external sorting algorithms implemented using finel...More: http: //booksllc.net/?id=147824


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Product Details
  • ISBN-13: 9781158739370
  • Publisher: Books LLC
  • Publisher Imprint: Books LLC
  • Height: 152 mm
  • No of Pages: 22
  • Series Title: English
  • Sub Title: Join Algorithms, External Sorting, Sort-Merge Join, Hash Join, Block Nested Loop
  • Width: 229 mm
  • ISBN-10: 1158739370
  • Publisher Date: 16 Sep 2010
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Spine Width: 1 mm
  • Weight: 45 gr


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