Big Data

Link: http://support.esri.com/en/knowledgebase/techarticles/detail/22668 If we select a large number of elements from the element classes stored in ArcSDE, we will often feel the performance decline (compared to selecting fewer elements ). It is

Some time ago, the company had a project that needed to import data from a text file. There were 5600 text files, and more than pieces of statistics were collected after the import. because the data is complex and difficult to analyze, the file is

  This book provides many examples of big data applications to illustrate the characteristics of the big data era: due to technological advances, you can use all data instead of sample data for analysis and judgment; data is difficult to be

Class bigreduce: bigcalculate  { Public override string evaluate (string num1, string num2) { Bool isminus = false; // Determine whether the calculation result is a positive number (that is, whether num1 is greater than num2). If it is equal, 0

Class bigmultiply: bigcalculate  { Public override string evaluate (string num1, string num2) { If (num1.equals ("0") | num2.equals ("0 ")) { Return "0 "; } List liallnum = new list (); // stores the result of each multiplication of the

Create procedure getpage @ Tblname varchar (255), -- table name@ Strgetfields varchar (1000) = '*', -- the column to be returned@ Fldname varchar (255) = '', -- Name of the sorted Field@ Pagesize Int = 10, -- page size (number of records per page)@

This article reprinted: http://zhoufoxcn.blog.51cto.com/792419/166052 Reference http://www.cnblogs.com/scottckt/archive/2011/02/16/1955862.html Description: A few days ago, the company required a data import.Program, Requires that Excel data

When using sqlyog to export Mysql Data, when the data volume is large, the export will not be wrong, but the import will produce an error. If the SQL statement is executed separately, the error code: 1153 got a packet bigger than 'max _

1 Import Java. util. date; 2 3 Import Javax. Persistence. Basic; 4 Import Javax. Persistence. column; 5 Import Javax. Persistence. entity; 6 Import Javax. Persistence. enumtype; 7 Import Javax. Persistence. enumerated; 8 Import Javax.

In. NET development, encryption and decryption are sometimes used to process the knowledge content of some edge disciplines, such as statistics, finance, and astronomy.AlgorithmIt involves the calculation of large numbers, that is, the maximum

Under normal circumstances, a factorial is multiplied by 1 by 2 by 3 by 4 until it reaches the required number, that is, the natural number N factorial. The following code uses int to calculate the factorial result: int SmallFactorial(int number){

# Include # include # include int DP [11000], a [5100]; int main () {int n, m, I, J, K, Max; while (scanf ("% d", & N, & M )! = EOF) {k = 0; max = 0; memset (DP, 0, sizeof (DP); for (I = 1; I MAX) max = K; DP [k] ++ ;} for (j = 0, I = max; j = 1

  #include#includeusing namespace std;long long factor[110], cnt;long long Mul_Mod(long long a, long long b, long long c) {if (b == 0)return 0;long long ans = Mul_Mod(a, b / 2, c); ans = (ans * 2) % c;if (b % 2) ans = (ans + a) % c;return

Http://www.594jsh.cn/Look.asp? Id = 67 Not experience or technical guidance, just be careful with what you are currently doingIndex is the most important thing to speed up big data queries. Therefore, many problems are caused by indexes.The primary

I used to insert big data one by one. Because the computer configuration was not good, it took me half an hour to insert 0.17 million data records. That hurts! After listening to Teacher Yang zhongke's lesson, I found a good thing. The computer with

Author: new Internet: Big Data Mining Author: Tan Lei [Translator's introduction] Press: Electronic Industry Press ISBN: 9787121196706 Release Date: March 2013: 16 open pages: 376 versions: 1-1 category: Computer> database storage and

Similar to the previous phenomenon: the data volume is normal in an hour, and monitord does not respond if it is a little larger.   Specific tracking found the following phenomena: (1) MonitorServer sends a request to monitord. Everything is normal,

Recently, I encountered a problem caused by a large amount of data. Currently, the data volume is about 8 Mb. In the future, nearly of data will be added every day. Therefore, the partition table feature of MSSQLServer is considered.The original

As we all know, when java processes a large amount of data, loading to the memory will inevitably lead to memory overflow. In some data processing, we have to process massive data. In data processing, our common means are decomposition, compression,

Using the default DataContractSerializer of WCF to manually serialize the data to byte [], and then manually deserialize the data after receiving the data, this problem can be solved. That is to say, if only byte [] can be used in the past, the list