2 2 s10 performance chip

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Reading Notes for Software Performance Testing (2)

1. Performance Testing Method:Acceptance Performance Test-determined the target and EnvironmentLoad Testing-understand the performance and capacity of the system in a given testing environmentStress Testing-whether errors may occur when the CPU or memory is saturatedConcurrency testing-multi-user concurrency, mainly for detecting memory leaks, thread locks, etc.R

High-performance JavaScript (2) DOM programming

careful when dealing with Htmlcollections because theyrepresent the live, underlying document. CacheThe collection lengthinto a variable and use it if iterating, and make a copy of the collection to an array forHeavy work on collections.Handle HTML collections with care because they exhibit "presence" and always requery the underlying document. The length property of the collection is deferredIn a variable, use this variable in the iteration. If you work with this collection frequently, you can

SQL Server query performance optimization analysis transactions and locks (2)

SQL Server query performance optimization and analysis of transactions and locks (1) Step 2: analyze the locking status using SQL statements. sys. in the sysprocesses view, find out the source of waiting for the initial lock of resources and the subsequent processes to be forced to stop. The following code is applicable to both SQLSERVER20052008 and SQLSERVER20052008. SQL server query

High-performance JavaScript reading notes (three. DOM Programming 2)

here, each of which affects the geometric properties of the element. It causes the browser to re-typeset three times.Most modern browsers optimize this situation with only one re-typesetting, but the old-fashioned browser is inefficient.Ways to change style at once:Csstext Properties:El.style.csstext= "BORDER-LEFT:1PX; border-right:2px; padding:5px; "Csstext will overwrite the previous CSS style,el.style.csstext+= "BORDER-LEFT:1PX;"Modifying the class name of a CSSEl.classname= "Active"Bulk Mod

Tips: How to improve MySQL Performance (1) (2) _ PHP Tutorial

Tips: How to improve MySQL Performance (1) (2 ). 5. NOT we often use some logical expressions in the where clause during queries, such as greater than, less than, equal to, and NOT equal to. we can also use and (and), or (or) and not (not 5. NOT When querying, we often use some logical expressions in the where clause, such as greater than, less than, equal to, and not equal to. we can also use and (and), o

Performance test from scratch-LoadRunner entry (2)

After a great deal of hard work, I finally finished reading the fifth chapter of this book. I was deeply touched by the fact that I had to learn about this in the book. This is because I read and practice it. Recently, I have completed a script to implement the whole process from registering personal data, opening an account for a purchased product, and making a payment. In fact, this script is not for any performance test, but I learned a lot to so

Lao Li share: Android performance optimized memory leak 2

! = NULL) {Activity.mTextView.setText ("");}}}@Overrideprotected void OnCreate (Bundle savedinstancestate) {Super.oncreate (savedinstancestate);Setcontentview (R.layout.activity_main);Mtextview = (TextView) Findviewbyid (R.id.textview);LoadData ();}private void LoadData () {... requestMessage message = Message.obtain ();Mhandler.sendmessage (message);}@Overrideprotected void OnDestroy () {Super.ondestroy ();Mhandler.removecallbacksandmessages (NULL);}}Use Mhandler.removecallbacksandmessages (nul

High Performance Service Framework REVOLVER:RUDP (reliable UDP) algorithm detailed (2)

{//Send message in packet drop queue uint64_t loss _last_ts = 0;uint64_t Loss_last_seq = 0;for (Lossidset::iterator it = Loss_set_.begin (); It! = Loss_set_.end ();)//Check if the missing message To resend {if (Send_packet_number >= ccc_cwnd_size)//exceed Send window break; Sendwindowmap::iterator cwnd_it = Send_window_.find (*it); if (cwnd_it! = Send_window_.end () cwnd_it-> Second->last_send_ts_ + RTT From the above can be learned that Attempt_send is the first to check whether the loss of t

About Singleton mode This is better than the above 1, 2, both to achieve thread safety and avoid the performance impact of synchronization.

Public classSingleton {2 Private Static classLazyholder {3 Private Static FinalSingleton INSTANCE =NewSingleton (); 4 } 5 PrivateSingleton () {}6 Public Static FinalSingleton getinstance () {7 returnlazyholder.instance; 8 } 9}This is better than the above 1, 2, both for thread safety and to avoid the performance impact o

Using Miniprofiler to track the performance consumption of MVC + EF + Bootstrap 2 Rights Management System

"] asCompositioncontainer; UserService= Container. Getexportedvalueordefault(); RoleService= Container. Getexportedvalueordefault(); Rolemodulepermissionservice= Container. Getexportedvalueordefault(); ModuleService= Container. Getexportedvalueordefault(); Modulepermissionservice= Container. Getexportedvalueordefault(); Permissionservice= Container. Getexportedvalueordefault(); } } }Once again access to the module management can see Adminlayout time , as if time-consuming speci

Oracle performance optimization on 1th/2 page _oracle

, and then tested on almost the same single CPU Athlon system, like memory, but only one 7200 rpm of the Ultra I DE disk. Although the final results are not the same as the percentages obtained, the observed performance increases are consistent.For simplicity's sake, our test environment uses the TPC benchmark, which is widely used for OLTP load tests. The Quest company has a tool called Benchmark Factory that makes testing work as simple as sending e

Android traceview usage and listview Performance Optimization Test (2)

Subsequent Android traceview usage and listview performance optimization tests (1) Last part of the previous article gave me the code for testing: if you do not see it, please first browse the previous article: Now let's verify the magic of listview. The main thing that listview needs to optimize is the getview () method, which implements the convertview Cache Optimization, the difference between using listview to reuse convertview in traceview is as

High performance JavaScript rearrangement and redrawing (2) _javascript tips

First of all, review the next article high-performance JavaScript DOM programming , mainly two point optimization, one is to minimize access to the DOM, while the operation on the ECMAScript side, the second is to cache local variables, such as length and so on, Finally, two new API Queryselector () and Queryselectorall () are introduced, which can be used boldly when making portfolio selection. This article is mainly about the most time-consuming pla

A case study of OpenCL performance Optimization Series 2: Two easy ways to avoid local Memory Bank conflicts

transferred from: http://hi.baidu.com/fsword73/item/51df1fafe6083e268919d39e Author: fsword73 Bank Conflicts is a common problem in storage access, and avoids bank Conflicts effectively improving storage access speed. The following is a description of two instances, reduction and prefix Sum. 1 use padding in reduction to avoid bank Conflicts AMD HD Readon 5870 For example, the Local Memory has 32Banks, each wavefronts has 64threads, the Bank conflicts calculation formula is Bank conflicts = STRI

High-performance JavaScript reading notes-2

Chapter IIData accessLiteral:Represents itself without a specific location: string number bool Object Array function Regular expressionLocal variables:VarArray:Stored inside the JS array object, indexed by numbersObject MembersStored inside the JS object as a string index There are four basic data access locations in javascript: direct volume, variable, array element (indexed by number), object member (with character bed as index) Each JS function represents an object, which is a real c

Clustering Algorithm performance evaluation 2. Calculation of precison, recall, fvalue, RI

# ! /Usr/bin/Python Import Sys; Import Re; Def Getprecision (TP, TN, FP, FN ): Result = 0.0; Result = TP/(TP + FP ); Return Result; Def Getrecall (TP, TN, FP, FN ): Result = 0.0; Result = TP/(TP + FN ); Return Result; Def Getfvalue (TP, TN, FP, FN ): Result = 0.0; P = getprecision (TP, TN, FP, FN ); R = getrecall (TP, TN, FP, FN ); Result = 2 * p * r/(p + r ); Return Result; Def Getri (TP, TN, FP, FN ): Result = 0.0; Result = (T

Oracle Performance Analysis 2:trace file interpretation

Here is a fragment of the trace file that represents a SQL execution process, and a trace file consists of a number of such fragments:parsing in CURSOR #4 len=135 dep=1 uid=0 oct=3 lid=0 tim=777069789359 hv=1115215392 ad= ' 33 e7e384 ' Select/*+ Index (idl_char$ i_idl_char1) +*/piece#,length,piece from idl_char$ where Obj#=:1 and Part=:2 and Versio N=:3 ORDER by Piece#end of Stmtparse #4: c=0,e=12,p=0,cr=0,cu=0,mis=0,r=0,dep=1,og=4,tim=777069789357--b

Learning Dynamic Performance Table (2)--v$sesstat

", 60*24* (sysdate-ses.logon_time) "Minutes"From v$session ses, V$sesstat STAWHERE ses.status = ' ACTIVE 'and Sta.sid = Ses.sidand sta.statistic# in (9,40)GROUP by Ses.sid, Ses.action, Ses.logon_timeORDER bySUM (DECODE (Sta.statistic#,40,100*sta.value,sta.value))/Greatest (3600*24* (Sysdate-ses.logon_time), 1) DESC;SID User Log io/s Phy io/s Minutes----- ------ -------- -------- -------1951 Batch 291 257.3 1470 Online 6,161 62.9 0730 Batch 7,568 43.2 1972153 Online 1,482 98.9 102386 Batch 7,620

How to Enhance ASP program performance (2) (Jaklin excerpt from Yesky)

How to Enhance ASP program performance (2) 2000-08-11 · Compiling: Gan Ganping · Yesky Tip 6: Use session objects wisely Sessions have several drawbacks when they are used on a busy site. Busy means: Hundreds of pages are requested per second on the site, or thousands of users are being accessed at the same time. This technique is important for sites that require horizontal scaling: They use multiple server

How to Enhance ASP program performance (2)

How to Enhance ASP program performance (2) 2000-08-11 · Compiling: Gan Ganping · Yesky Tip 6: Use session objects wisely Sessions have several drawbacks when they are used on a busy site. Busy means: Hundreds of pages are requested per second on the site, or thousands of users are being accessed at the same time. This technique is important for sites that require horizontal scaling: They use multiple server

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