asp内存和速度优化，第一部分（英文版）

导读：
　　Memory and Speed Optimization with ASP - Part I
　　It is an all to familiar problem: optimizing the memory and speed of your web sites. Maybe you have been, more than once a week, in the situation where your web server stopped giving you any ASP page, while the HTML pages were correctly displayed. One of the challenges faced by the web developers is how to create a fast (usually a faster that the one you have) application out of a series of HTML and ASP pages.
　　When programming ASP pages, memory and speed optimization can be acquired in two different ways. Because HTML pages are not processed at the server-side, we will talk more about memory and speed optimization of ASP pages:
　　By programming good ASP pages. This article is all about optimizing by writing good ASP pages.
　　By configuring the web server. We will cover this topic in another article.
　　When talking about optimizing ASP pages, we should start from the deepest level: basic variables.
　　One of the biggest differences between Visual Basic (VB) and ASP programming is the variable declaration. VB is a programming language, so you can define variables of a specific type:
　　Dim I as Integer ' Integer Declaration
　　Dim a$ ' String declaration
　　Dim objMyCom as Object ' Object Declaration
　　Dim var as Variant ' Variant declaration
　　While ASP is a scripting language, where the only available type is VARIANT type. All the variables declared in ASP are of type VARIANT . Unfortunately, this makes all the operations slower, because the work with VARIANT is slower. The system has to first evaluate the type of the variant, convert it to the most appropriate of the operation that is to be done, and then make the operation.
　　VARIANT is a very smart type of variable. It has great capabilities of storing EMPTY and NULL values, along with any types of data, such as (integers, doubles, strings, currency and dates, arrays or objects).
　　Optimizing memory and speed when working with ARRAYS.
　　ASP programmers are usually not very good friends with ARRAYS. Using ARRAYS is more common to VB programmers that use them to store data. As little as you use arrays, you should have in mind the following way of optimizing array access:
　　Arrays are made from continuous blocks of memory. Reading and writing an item of an array is slower than accessing a simple variable. For each access to an item in an array, the runtime environment has to determine the position of the item in the memory, based on the first element of the array and the index. Therefore, it's faster to read/write a variable, than an array item. Therefore, if you need to use the same array item in a loop repeatedly, you'd better assign the item to a variable and use that variable instead.
　　E.g. :
　　<%

' this will calculate for each element, the value a(i) = 2i ( = 2 * 2 * 2 - for i times)

Dim a(20) ' The array

Dim i,j ' indexes

Dim tempVar ' a temporary variable

' Non-optimized Array Access:

For i = lBound(a) to uBound(a)

a(i) = 1

For j = 2 to i

a(i) = a(i) * 2

next j

Next

' Optimized Array Access

For i = lBound(a) to uBound(a)

tempVar = 1

For j = 2 to i

tempVar = tempVar * 2

next j

a(i) = tempVar

Next

%>　　' this will calculate for each element, the value a(i) = 2i ( = 2 * 2 * 2 - for i times)

　　Dim a(20) ' The array

　　Dim i,j ' indexes

　　Dim tempVar ' a temporary variable

　　' Non-optimized Array Access:

　　For i = lBound(a) to uBound(a)

　　a(i) = 1

　　For j = 2 to i

　　a(i) = a(i) * 2

　　next j

　　Next

　　' Optimized Array Access

　　For i = lBound(a) to uBound(a)

　　tempVar = 1

　　For j = 2 to i

　　tempVar = tempVar * 2

　　next j

　　a(i) = tempVar

　　Next

　　%>
　　Because of the way of calculating the position of an element in memory, access to items in bidimensional arrays is very slow when compared to accessing items in single dimensional arrays. Think about this when designing your algorithms.
　　A good way of optimizing speed of multidimensional arrays is to reduce them to a single dimensional array. Instead of using a 10 by 10 matrix, try to use a 100-element array to speed up access. In this case, you have to manually find your items in the array. If you use i and j as indices, and you used to access an element like A(i, j), the new way of accessing the items will be A((i*10)+ j), where i and j are the original indices.
　　In ASP there are few ways of declaring arrays. The difference between the declaration method is the way in which ASP allocates and uses memory.
　　1. Dim A (10) ' declaration of static array with 10 elements
　　Access to its items is the fastest, and uses less memory. Unfortunately, it can not be resized.
　　2. Dim A ( ) ' declaration of dynamic array, with unspecified number of elements
　　Redim A(10) ' Dimensioning the array to the requred size
　　After the declaration, before its first usage, the array has to be dimensioned using Redim A(nr of items). By using this declaration, you avoid problems of dimensioning the array, but you slow down the access to the array's items by 50 -60%!
　　3. Dim A ' declaration of a Variant variable
　　Redim A(1000) ' assignment of an array to the variant
　　Declaration of a variable, which has an array assigned to it. The access to its items is 50% slower than for case 2, and about 75-80% slower than the first declaration.
　　4. Dim A ' declaration of a Variant variable
　　A = Array( 1, 2.0 , "three" ) ' assignment of an array created, when we know their number and values
　　This declaration mode seems to be as fast the first one, because of the function call "Array". Unfortunately this way of declaration is not very handy, because you have to have access to all the Array’s items from the declaration point.
　　Another problem that appears when using arrays is of re-dimensioning the arrays by using:
　　Redim a(200) ' re-dimensioning the array to another size
　　Or by using:
　　Redim Preserve a(200) ' re-dimensioning the array to another size, and
　　' preserving it's current values
　　When re-dimensioning arrays, the runtime environment has to create a block of memory of the new required size, copy the old values of the array to the new array (if you are using Redim), and eventually cropping the array (if the new size is smaller than the original). Re-dimensioning arrays creates a big overload for the server, especially if you are also preserving its items. The only way of optimizing this is to try not to use it. Try to dimension your arrays from the declaration, and try as seldom as possible to re-dimension them.
　　Optimizing memory and speed when working with Objects.
　　Maybe the most useful optimization is achieved when object access is optimized. We use objects in almost all ASP pages, starting with database access objects, and finishing with custom-made objects. Everybody knows that programmers are inherently lazy. This fact can usually get us into trouble. From ASP, you have access to different objects, but the most used ones are the ones for database access (mostly ADO, or DAO) or MTS objects.
　　The way you create the object is important because it can speed up, or slow down your ASP page. If you want to create objects that reside in the MTS environment, the best way

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