cloudflare performance comparison

This is a creation in Article, where the information may have evolved or changed. Performance comparison Insert 10 million records to compare memory usage size and insertion time. Test machine configuration Intel (R) Core (TM) i3-4000m CPU @2.40ghz 2.40GHz 12.0GB Memory Front-facing conditions Go, avoid the memory copy when expanding capacity, the size of the initialization volume is 13333333. Make (map[int

Performance Comparison of pymongo in comparative sorting query, sort parameter and sort function, find and find_one, pymongofind_one Sort parameters and sort Functions In the official documentation, the description in the find function indicates that the parameter in the find function should be the same as the sort function called after the cursor. find( Filter = None, Projection = None, Skip = 0, L

Review the implementation code for each of the major sorting algorithms:#include "stdafx.h" #include Defines two functions that generate random integers and random floating-point numbersvoid randomint (int *x,const int N) {Srand ((unsigned) time (NULL)), for (int i = 0; i and a print functionTemplateVarious sort functions are called in the main function, and the sorting time and sorting results are output, and when n is large, the sorting result is omitted.int main (int argc,char **argv) {int N

PHPempty () isset () is_null () differences and performance comparison. In php, empty () isset () is_null () functions are used to determine whether it is null, however, if I want to gain a deeper understanding of the three functions, there are still many differences. in php, the following section describes empty () isset () is_null () the three functions are used to determine whether they are null. However

Performance Comparison between MyISAM engine and InnoDB engine in MySQL table structure Create table 'myisam '('Id' int (11) not null auto_increment,'Name' varchar (100) default NULL,'Content' text,Primary key ('id ')) ENGINE = MyISAM default charset = gbk; Create table 'innodb '('Id' int (11) not null auto_increment,'Name' varchar (100) default NULL,'Content' text,Primary key ('id ')) ENGINE = InnoDB defa

) { varGo =instantiate (template); Go.transform.position= Random.insideunitsphere *10f; } }}View CodeTest results:i5 under the configuration500 Dynamics Open Rigid body collider is already less than 20fps, using rigidbody.position to move and use transform.position movement is not very different. and 500 rigid bodies with gravity open, collider only 3fps.10,000 non-rigid collider can reach 30-35fps and are independent of whether the switch trigger. Since the non-rigid body

computation of aggregation functions or analysis on Twitter data streams). Spark work on the existing complete collection of data (such as Hadoop data) has been imported spark cluster, spark based on In-memory Management can perform a flash scan and minimize the global i/o operation. However, the Spark flow module (streaming module) is similar to Storm (both stream computing engines), although not exactly the same. The Spark Flow module aggregates bulk data and then blocks distribu

Http://www.cnblogs.com/aaronjs/p/3337531.htmlThe ID selector is the fastest, mainly because it uses JavaScript's built-in function getElementById ();The second is the type selector, because it uses JavaScript's built-in function Getelementsbytag ();The slowest is the class selector, which needs to parse the HTML document tree and recursive outside the browser core, which cannot be optimized.Browser support: IE 6+, Firefox, Safari, Chrome 4+, and Opera + +;Getelementsbyname, the context can only

generated "small chunks" (such as real-time computation of aggregation functions or analysis on Twitter data streams). Spark is working on an existing complete collection of data (such as Hadoop data) that has been imported into the spark cluster, andSpark is based on in-memory Management can perform a flash scan and minimize global I/O operations for the iterative algorithm . However, the Spark flow module (streaming module) is similar to Storm (both stream computing engines), although not ex

First, let's take a look at the test cloud hostCpu:[Email protected]:/tmp/webbench-1.5cat /proc/cpuinfo | grep Modelmodel the model name : Intel (R) Core (TM) i5-4260U1. 40ghz[email protected]:/tmp/ webbench-1.5#Mem:[Email protected]:/tmp/webbench-1.5 free-m total used free shared buffers cachedmem: 490 364 3 a 103-/+ Buffers/cache: 219 Swap: 509 208 301Two. Te

count, copy-on-write", that is, even if you copy a variable in PHP, the original form basically actually is still the form of a reference, only if the content of the variable changes, the actual replication will occur, the reason for this is to save the memory consumption purposes, but also improve the The 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 knot In m

Performance Comparison between new array () and = [] 0.1 million operations each time, I feel no difference Result: 9 28 59 7189 28 59 7189 28 59 718 // Loop useVaR I: Int = 0;VaR DT: Date = new date ();Trace (Dt. gethours () + "" + dt. getminutes () + "" + dt. getseconds () + "" + dt. getmilliseconds ());For (I = 0; I {VaR contentarr2: array = new array ();Contentarr2.push (I );}Trace (Dt. gethours () +

The reason for testing this method is that the project needs to use this method to dynamically create required objects. The last time we talked about how to create an object using activator. createinstance () and directly using expressions to create an object, the performance comparison was made. I was criticized by Zhao and other experts for the incorrect testing method. I decided to test it again. The