Warehouse is to organize, summarize and reorganize the information and provide it to the corresponding management decision-maker in time.Data cube and OLAPThe data obnoxious body is modeled and observed in multidimensional data import rows. is the data cube for customers, products, and sales: 650) this.width=650; "title=" image "style=" margin:0px; Display:inline "alt=" image "src=" http://s3.51cto.com/wyfs02/M00/5A/0C/wKioL1T1MB_BaQ-DAAE73AdGGuY463.jpg "" 608 " height= "299"/> Multidimensional
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*/Mergepass (tr,l->r,k,l->length);k=2*k;/* sub-sequence length doubled */}}/* **************************************** *//* Quick Sort ******************************** *//* Exchange Order table L record of the sub-table, make pivot record in place and return to its location *//* At this time the record before it is small (smaller) to it. */int Partition (sqlist *l,int low,int High){int PivotKey;pivotkey=l->r[low]; /*
Quick Sort OptimizationThe quick line is can be optimized, then what can be optimized, is it the same as you think? Let's look down. 1, optimize the selection of the pivot valueIf the PivotKey we have selected is in the middle of the entire sequence, then we can divide the whole sequence into fractional and large sets of numbers. But notice, what I just said was, "if ... Is the middle, so what if the pivotkey we choose is not the middle number? For e
to divide (partition), in which the first element is selected as the pivot element, and then scanned from both ends of the sequence to be ordered, and when scanning from the tail to the head, if the element is greater than or equal to the pivot element, no action is required on the sequence. Because these elements are in the correct position, if an element is found to be smaller than the
9.9.4 Fast Sorting optimization
Just speaking of the quick sort or there are a lot of improvements can be made, we look at some of the optimization scheme.
1. Optimize Pivot selectionIf the PivotKey we choose is in the middle of the entire sequence, then we can divide the whole sequence into decimal sets and large numbers. But notice, what I just said was "if ... Is the middle ", then if we choose the PivotKey is not the middle number. For example, we
Optimized for some details 10% faster than the previous quick row/** * @authorCLY * Quick Sort*/ Public classMyquicksort {/*** Treats row array sort (ascending) *@paramarr Queue Array *@paramThe starting position of the pivot pivot in the array to be sorted (sort start bit) *@paramend bit of this quick row (sort end bit)*/ Public Static voidSortint[] arr,intPivotintend) { intTmp_pivot =
I. OverviewPivot table is an interactive table that allows you to perform certain calculations, such as summing and counting, to dynamically change the layout of a pivot table, or to rearrange line numbers, column labels, and page fields. When the layout is changed, the pivot table is updated according to the new layout, which can be said to be a powerful data analysis tool. Therefore, this article describe
quick sort, and also lists some of the estimated large O values for hill sort. Note that nx/y represents the Y-root of the X-square of N (n equals 100,N3/2 is 1003 squared, and the result is 1000). In addition (LOGN) 2 represents the square of n logarithm, which is usually co-log2n.Partition Q: What is a partitioning algorithm?A: Division (partitioning) is the fundamental foundation of the fast ordering that is discussed later, so it is explained as a separate section.A: dividing data is a grou
Title Description: Given an unordered array of integers, find the number of bits. The median is the intermediate value of the sorted array, and if the number of arrays is an even number, the number of N/2 of the sorted array is returned.Example: Give the array [4, 5, 1, 2, 3], return 3; give array [7, 9, 4, 5], return 5The goal is to find the number that is in the middle of the line. This is not reminiscent of the quick sort, the quick row is the pivot
These days in a bidding system in the approval module, which about the quotation information this piece, using pivot and UNPIVOT to achieve the data of the row and column, the following brief introduction, the actual case, easy to recall and record the conditions used under the circumstances. The pivot and UNPIVOT functions are the new 2 functions provided by SQL2005, P
:-Retrieve The entire Merkel Patricia state trie defined by the root hash of the pivot point-for every account found in the Trie , retrieve it ' s contract code and internal storage state trie-upon successful trie download, mark the pivot point (head- 1024x768 blocks) as the Head-import all remaining blocks (1024x768) by fully processing them as in the classical syncOverview of the Fast synchronization algo
direct insertion sort or bubble sort. It is characterized by a high time efficiency of sequencing and is evident in particularly large data volumes. Like the hill algorithm, fast sequencing is a less stable algorithm, which is related to the principle of its implementation.Code.#include #include#include/** * Fast sorting algorithm is the improvement of the bubble sorting algorithm, but the implementation is much more complex than bubbling, it mainly for big data sorting, * if the time requireme
Iv. Fast Sorting (Quick sort)Fast sorting is a widely used sort algorithm, which belongs to the Exchange sort class.Ideas: Sorting using recursive algorithms for "Divide and conquer"Steps:1) Benchmark case: n=0 or 1, no sorting required, return2) N>1, take an arbitrary element from the array s ν, called the pivot element (pivot)3) split: Put all elements larger than ν to the right of V, S1Put the element
Larav Pivot table and multi-pair relationshipBig | In
Today we are talking about a feature that is laravel, but may be a bit difficult to understand at first. The Pivot table is an intermediate table of relationships between two "primary tables." Pivot Table Instance
In official documents, they use user-role (user-role) relationships as examples, and users may be
Fast sequencing is the fastest known sorting algorithm in practice, its average run time is O (nlogn), the algorithm is particularly fast, mainly due to very refined and highly optimized internal loops. its worst-case performance is n^2.The quick sort consists of the following simple four steps:1. Returns if the number of elements in S is 0 or 1. 2. Take S in any element V, called the hub element3. Divide S into two disjoint sets, the previous element is less than v, and the latter element is g
PackageKpp.sort;/*** Quick Sort * General selection of the first element as the pivot element, save to pivot, determine the head and tail pointer left,right, * First order the entire array element, when the elements on both sides of the pivot element ordered, and then the pivot element on each side of the two arrays to
Two years of working with. net, I learned the Data StructureAlgorithmIt has never been used in actual work. I have nothing to worry about recently. I want to learn more about simple data structure algorithms. today, it took me one afternoon to complete the "quick sorting" in the sorting process. This is the first article to settle in the blog Park! After thinking, do you want to put it on the homepage? Finally, I decided to put it with a thick face and courage. however, it is hard to feel uneasy
Today, say a quick sort:Basic idea:
Take one element (e.g. first) as Pivot point
All elements smaller than it are placed before it, and the elements larger than it are placed, forming a left and right two sub-tables
Re-select the central element for each child table and adjust it to this rule until the elements of each child table are left only one
Attention:
The sub-table of each trip is formed by alternating approximat
Four types of BI open source tools introduction-spagobi,openi,jaspersoft,pentaho1 Brief Introduction to BI systemsFrom a technical point of view BI includes ETL, DW, OLAP, DM and other links. Simply put, the transaction system has already occurred data, through the ETL tool extracted to the subject of a clear data warehouse, after the OLAP generation cube or report, through the portal to show users, users u
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