A Self Organizing Database System a Different Approach to Query Optimization
A Self Organizing Database System a Different Approach to Query Optimization
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In our eReader you can find the full English version of the book. Read A Self Organizing Database System a Different Approach to Query Optimization Online - link to read the book on full screen. Our eReader also allows you to upload and read Pdf, Txt, ePub and fb2 books. In the Mini eReder on the page below you can quickly view all pages of the book - Read Book A Self Organizing Database System a Different Approach to Query Optimization
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The first is the total search of all combinations of K indices or less. It always finds the optimal solution but its running time is exponential and it is impossible to use ii for problems with over 10 fields. Still, it is useful for debugging and as a benchmark for other algorithms.
Chapter 6 - 76 - Secondary Index Selection Figure 6-1: Comparison of B&. B, Greedy and Total search algorithms We have used a frequency table describing 559 queries on file Industrial Compustat. The table has 33 fi...elds. 95 query types and 68 independent query types. It was obtained by recording actual user queries and transforming them to increase the number of different querytypes. All three algorithms found the optimal index set m all cases.
f^SetS is the number of index sets whose cost was computed by the algorithm; Cpu is the CPU seconds spent by the algorithm.
Max. Allowed B&B search Greedy search Total search # indices //sets cpu f/sets cpu //sets cpu 1 2 0. 02 1 0. 02 33 0. 31 2 3 0. 04 1 0. 06 529 4.
What to read after A Self Organizing Database System a Different Approach to Query Optimization?
You can find similar books in the "Read Also" column, or choose other free books by Gregory Piatetsky Shapiro to read onlineMoreLess
To quickly assess the difficulty of the text, read a short excerpt:
The first is the total search of all combinations of K indices or less. It always finds the optimal solution but its running time is exponential and it is impossible to use ii for problems with over 10 fields. Still, it is useful for debugging and as a benchmark for other algorithms.
Chapter 6 - 76 - Secondary Index Selection Figure 6-1: Comparison of B&. B, Greedy and Total search algorithms We have used a frequency table describing 559 queries on file Industrial Compustat. The table has 33 fi...elds. 95 query types and 68 independent query types. It was obtained by recording actual user queries and transforming them to increase the number of different querytypes. All three algorithms found the optimal index set m all cases.
f^SetS is the number of index sets whose cost was computed by the algorithm; Cpu is the CPU seconds spent by the algorithm.
Max. Allowed B&B search Greedy search Total search # indices //sets cpu f/sets cpu //sets cpu 1 2 0. 02 1 0. 02 33 0. 31 2 3 0. 04 1 0. 06 529 4.
What to read after A Self Organizing Database System a Different Approach to Query Optimization?
You can find similar books in the "Read Also" column, or choose other free books by Gregory Piatetsky Shapiro to read onlineMoreLess
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