imac performance comparison

improved.B. MongoV2.6.4 as the lock conflict changes, its read-Write throughput trends:Scenario: This was tested on my own development machine, with 10 concurrent read and write threads tested, and the horizontal axis represented: The ratio of locks (time of lock wait/read/write Transaction completion)Results: The results show that the overall throughput decreases with the increase of lock waiting ratio.C. MongoV2.6.4 test the performance

) {List.push (Obj[key])}returnlist;}; Console.log (Arr.arr_unique ());Method Three Encapsulation method vararr=[1,3,5,3,5,3,4,6,2,2,2,1,7,84,34,634]; Array.prototype.arr_unique=function (){ varobj={}; for(vari=0;i This. length;i++){ varCur=arr[i];//Current Item if(obj[cur]==cur) {Alert (1111); Arr.splice (i,1); I-- }Else{Obj[cur]=cur; }} obj=NULL; return This; }; Console.log (Arr.arr_unique ()); Three common methods

elements of the string array sort reversal took about 9 ms$./test/v8test./test/arraysort.js[2015-05-10 08:22:34.324314] begin sort and reverse array which length=10000[2015-05-10 08:22:34.337588] done, first element=zzmblrhz, last ELEMENT=00G00SSMCalling costs 22326 microsecondsTotal time V8 is truly worthy of fame, the total execution is more than spidermonkey faster, but interestingly, in the internal string array of the time spent in the reversal of the SpiderMonkey rather far ahead, pending

An article about the performance analysis of the method of string null judgement, the experimental results have been given by the author, the conclusion is to use. Length==0 judgment is the most efficient, but the end of the article only a word, feeling not enough detail, so I write this article, calculate a supplement and study it. Hardware environment for program code execution: Cpu Intel T2300 1.66GHz Memory Kings

consumption purposes, but also improve theThe efficiency of replication. Thus, the efficient read operation of foreach is not difficult to understand. Also, since foreach is not suitable for handling array writes, we can draw a knotIn most cases, the code for array writes similar to the form of foreach ($array as $key + $value) should be replaced by the while (list ($key) =each ($array)). The speed differences generated by these techniques may not be obvious in small projects, but in large proj

Performance comparison of Php+mysql prepare and normal query The instance code is as follows: Run Result: Normal MySQL run 1000 data time: 0.011621 seconds Normal MySQL Run 10,000 data time: 0.07766891 seconds Normal MySQL run 100,000 data time: 0.10834217 seconds Pre-query MySQL run 1000 data time: 0.00963211 seconds Pre-query MySQL run 10,000 data time: 0.04614592 seconds Pre-query MySQL r

This is a creation in Article, where the information may have evolved or changed. The serialized library is often used in the environment of network transmission, RPC, database access, and its performance directly affects the performance of the whole product.This article lists several high-performance go language serialization libraries and tests their

MemSQL, SQLFire, Oracle XE performance comparison test, memsqlsqlfire 1. Software Version Memory SQL 3.1 Pivotal SQLFire 1.1.2 Oracle 11g XE 2. Test Environment Host OS: Windows 7 64-bit Professional Edition CPU: i7-3770 3.4 GHz Memory: 16 GB Hard Disk: larger than 800 GB Vmwarevm OS: CentOS 6.3 64-bit Memory: 16 GB MemSQL runs on virtual machines, and SQLFire and Oracle directly run on host machines. SQ

To the photographic enthusiasts to share a detailed analysis of Canon SX60 HS and Canon 60D performance comparison. Compare and share: Canon SX60 HS uses 1/2.3 inch CMOS sensor, with 65 times times optical zoom lens, the equivalent focal length of 21 to 1365mm, Aperture f/3.4-6.5, with optical stabilization function, with DIGIC 6 image processor. and Canon 60D with a valid pixel of 18 million aps-

The article uses the graphic detailed introduction in PHP about include and include_once and require and require_once Performance Map, the need for friends can be detailed to see, but overall include_once and require_ Once performance is much better, especially when multiple calls are made. PHP Performance Optimization Eighth phase function, include () and includ

ADO. NET, and nhib.pdf is about two times slower. Given that the average system read operation frequency is much higher than the write operation frequency, the average performance of NBear should be much better than that of nhib.pdf. The test is not complete. It is for reference only.Read Performance Comparison Repeat Times ADO. NET (MS) NBear (MS

Performance Comparison of include single files and multi-files: require_once and include are the two most common functions for PHP programmers. through these two functions, we can use the classes and other objects defined in other class libraries. However, many users simply use the following code to reference other files in the same directory. Include performance