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Performance Comparison of Methods for converting objects to strings

Comparison of the performance of the method for converting an object to a string. The method can be converted billions of times in a loop, Code As follows: Code highlighting produced by Actipro CodeHighlighter (freeware)http://www.CodeHighlighter.com/--> 1 Object o = " Aaaaaaaa " ; 2 3 Datetime start = Datetime. now; 4 For ( Int I = 0 ; I 1000000

Performance Comparison Between mutex and atomic in linux: mutexatomic

Performance Comparison Between mutex and atomic in linux: mutexatomic One is to use boost: atomic; one is to directly lock; the code is very simple: # Include The test results are as follows: Allen @ allen-ThinkPad-Edge-E431 :~ /Code $./test 0 1000Loopnum: 10000 test_atomic cost 0 MSAllen @ allen-ThinkPad-Edge-E431 :~ /Code $./test 1 1000Loopnum: Drawing test_lock cost 0 MSAllen @ allen-ThinkPad-Edge-E431

Performance Comparison between using file_get_content functions and using curl functions to collect images, curl functions

Performance Comparison between using file_get_content functions and using curl functions to collect images, curl functions Because the background car content of a company's car website is mainly from the home of the car, editing colleagues must manually add cars to the home of the car every day, it is too painful. So, to change this situation, as a developer, my task is coming... That is to prepare a functi

Recommendation of six WEB Upload components performance test and comparison page 1/10

components (DLL files) for upload, to use this upload method, you must install the Upload Component on the server or register the component on the server. One is to use the uncompiled code class for upload, you can use it without having to register it on the server. There are more than a dozen of these two types of components, such as AspSmartUpload, AspUpload, SA FileUp, LyfUpload, and no component upload class in the environment ...... And so on. Among the many Upload components, I have extra

RABBITMQ Performance Comparison of three Exchange modes (FANOUT,DIRECT,TOPIC)

with the specified topic in Routekey1. This mode is more complex, simply put, is that each queue has its own topic of interest, all messages with a "title" (Routekey), Exchange will forward the message to all the topics of interest can match the Routekey fuzzy queue.2. This mode requires Routekey, perhaps to bind exchange and queue in advance.3. When binding, to provide a topic that the queue cares about, such as "#.log.#" means that the queue is concerned with all messages involving log (a mes

Performance Comparison between PHP loop functions foreach and while

Foreach performs operations on array replicas (by copying arrays), while operations are performed by moving internal indicators of the array. Generally, it is logically considered that, while should be faster than foreach (because foreach first copies the array when starting execution, while directly moves the internal indicator .), But the result is just the opposite. The code is as follows:Copy code /*** Performance

Performance test comparison of doitphp,thinkphp,yii,ci,doophp and other frames

Comparison of performance tests on doitphp,thinkphp,yii,ci,doophp and other frameworks

Performance comparison of the Java list three traversal methods

public static void Compare () {listNew ArraylistSetNew Hashset Forint i=0;i100000;i++) {List.add ("A" +i);} Long t1=0l,t2=0L;T1 = System.Currenttimemillis (); for (String s:list) {Set.add (s);}t2 = System.Currenttimemillis ();System.Out.println (The time for the foreach traversal is: "+ (T2-T1) +"MM"); BothT1 = System.Currenttimemillis (); Forint i=0; IString str = list.get (i);Set.add (List.get (i));}t2 = System.Currenttimemillis ();System.Out.println ( ////three T1 = System. currenttimemi

Serialization Framework performance Comparison (Kryo, Hessian, Java, Protostuff)

speed and size are significantly better than Hessian and Java, close to Protostuff. When reference is turned on, the serialization speed will be significantly slower, but still better than Hessian.Related knowledge:Class Registration: Registering a class that requires serialization into Kryo can increase the speed of serialization and deserialization.Reference: When this option is turned on, the same object will be serialized to the same byte[], closed by default, if you want to support circula

Performance comparison of two kinds of fast sorting algorithms

Let's take a look at the first quick sort algorithm (QUICKSORT1):#include take a look at the second fast sorting algorithm (QUICKSORT2):#include The following is the time required for two program executions: Comparison of performance of two quick sort algorithms

Performance comparison of several uses of Python 1.5

Importtimeitsum_by_for="""For d in data:s + = d"""Sum_by_sum="""sum (data)"""Sum_by_numpy_sum="""import numpynumpy.sum (data)"""deftimeit_using_list (n, loops): List_setup="""Data =[1] * {}s = 0""". Format (n)Print('List Result:') Print(Timeit.timeit (Sum_by_for, list_setup, number =loops)) Print(Timeit.timeit (Sum_by_sum, list_setup, number =loops)) Print(Timeit.timeit (Sum_by_numpy_sum, list_setup, number =loops))defTimeit_using_array (n, loops): Array_setup="""Import arraydata = Array.arra

C + + compiler performance Comparison

Now on the market, the main-C + + compiler includes m$ cl, GCC, Intel ICL, PGi PGCC and CodeGear bcc (formerly Borland Company). The most used on Windows is CL, and on a broader platform, GCC is the first choice for the C + + compiler. But when it comes to capacity optimization, rankings are not necessarily consistent with their market share. Today, there was a comparison of compiler numerical performance.

Full comparison of FAT and NTFS performance

FAT Total performance comparison with NTFSFile systems embody the overall structure of file naming, storage, and organization in the operating system, consisting of files, directories, and information needed to locate and access these items. The file systems used by different operating systems vary, and the common FAT file system is compared to the NTFS file system. File system Supported Op

Performance comparison experiment of MySQL on different operating platforms

mysql| performance This file contains the results of different benchmark tests. The number in the after test result () represents the number of SQL commands executed in the exact test. A test can have a lot of different parameters, and here's just a rough look. Please check the source for more information. Note that test results with different--cmp options cannot be compared. The--CMP option is set based on the worst restrictions for all servers in

DB2 Database Performance Comparison of delete in ID and batch Delete

delete, the code is as follows: private void Batchdeletea (list IDs) {sqlsession batchsqlsession = Getbat Chsession (); try { for (Long id:ids) {batchsqlsession.delete (" acchissourceent Ity.delete ", id); } batchsqlsession.commit (); finally {batchsqlsessionutils.closes Qlsession (batchsqlsession); } } Private sqlsession getbatchsession () { return batchsqlsessionutils.getsqlsession ( Sqlsessionfactory, Executortype.batch); }Among the

SQL Server paging stored procedure notation and performance comparison

@timediff datetimebeginsetnocounton;select@timediff=getdate()selectNBSP; * NBSP; from NBSP; ( Select NBSP; *,row_number () over (order NBSP; by NBSP; ID ASC NBSP; as Idrank NBSP; from NBSP; tb_ testtable) NBSP; as idwithrownumber NBSP; where idrank> @pageSize * @pageIndex and idrank selectdatediff(ms,@timediff,getdate())as耗时setnocount off;end---5、利用临时表及Row_numbercreate procedure proc_CTE --利用临时表及Row_number(@pageIndexint, --页索引@pageSizeint--页记录数)assetnocounto

MySQL and Onesql parallel insert performance comparison

,' VCOL9 ' varchar (+) DEFAULT NULL,' vcol10 ' varchar DEFAULT NULL,PRIMARY KEY (' id ')) Test tools Lou Fangxin mydbtest (http://www.onexsoft.com/software/mydbtest_linux64.zip) tool, test configuration file Cat DUMPTEST-INSERT.CNF ################################################# OptionUser Test/[email Protected]:3316:testTime 60mLog/dev/nullDeclareVid bigseq 1 10000000000Vstart DATE-10 10VICOL3 int 1 10VICOL4 int 1 100VICOL5 int 1 1000VICOL6 int 1 100000VVCOL7 Char 10 19Vvcol8 Char 10 19Vvcol

Performance comparison of MySQL insertion method under large data volume

Whether it is in daily business data processing or import and export of databases, you may encounter insertions that require processing large amounts of data. Insertion speed is affected by both the insert and the database engine, and this article aims to analyze and compare various methods theoretically and practically to facilitate the selection of insertion methods in future applications.Insert AnalysisThe time required to insert a record in MySQL is made up of the following factors, where th

Performance Comparison Between SQLite databases and other databases

[Switch] Performance Comparison Between SQLite database and other databases This article Reprinted from: http://www.sqlite.com.cn/MySqlite/6/22.HtmlPerformance Comparison Between SQLite databases and other databases This is an article from a traditional blog: http://blog.joycode.com/fish/archive/2004/08/13/30653.aspx

Performance test comparison between Ubuntu8.04 and Ubuntu7.10 (group chart)

Ubuntu8.04 has recently entered the freeze stage, and the final work will be completed. Ubuntu8.04RC will be released next week, preparing for the official version to be released by the end of this month. In addition to the new features, how much is the performance difference between Ubuntu8.04 and Ubuntu7.10? Phoronix recently compared them. Upgrade Ubuntu7.10 and Ubuntu8.04 to the latest version on January 10, April 3. Ubuntu 8.04 has recently enter

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