iOS的内存分析和内存管理

iOS的内存分析和内存管理

【内存管理】一直是iOS开发中的一个重点。

本文就带你从内存分析开始一步步了解内存的占用情况，从真实的情况中领悟真正项目开发过程中的内存的使用情况。

注：本文默认你熟悉 MRC、ARC、熟悉内存管理原则，本文注重实际应用

1.内存分析

内存分析主要有两种方式

• 静态内存分析
• 动态内存分析

1.1 静态内存分析

特点：

• 不运行程序,直接对代码进行分析(根据代码的语法结构分析是否有内存泄露)

缺点：

• 不能够准确的分析出来内存泄露,但是操作简单.并且如果发现有地方有提示内存泄露,最好根据上下文查看是否有问题

静态分析代码如下

- (void)viewDidLoad {
    [super viewDidLoad];

    NSObject *objc = [[NSObject alloc] init];
    [objc release];

    NSObject *objc1 = [self objc];
    NSLog(@"%@", objc1);

    [objc1 release];
}

- (NSObject *)objc
{
    return [[NSObject alloc] init];
}

通过肉眼分析，从代码结构上来看这段代码是没有内存泄露的。

实际工作中代码量肯定大得多，所以会用系统工具 Analyze

从Analyze分析结果来看，创建对象的这一行是有内存泄漏的可能，此时只需要简单定位，在人工分析即可

使用场景：

通常使用在 MRC 时代，在 ARC 时代中我们使用这个通常是使用 CoreFoundation 框架中的内容，需要自己手动管理内存。示例代码如下：

- (void)drawRect:(CGRect)rect {

    CGContextRef context = UIGraphicsGetCurrentContext();

    CGMutablePathRef path = CGPathCreateMutable();

    CGPathAddEllipseInRect(path, NULL, rect);

    CGContextAddPath(context, path);

    [[UIColor redColor] set];

    // CGPathRelease(path); // 此处path 用完之后需要自己释放
    CFRelease(path);

    CGContextDrawPath(context, kCGPathFill);
}

1.2 动态内存分析

特点：

• 真正运行起来程序,查看在程序运行过程中,是否会出现内存泄露的问题
• 准确,如果发现某些地方提示内存泄露,可以根据提示找到对应的内存泄露位置(Xcode6不好找,需要自己来分析)

使用 Instruments 动态分析：

• Allocations
  • 运行程序, 通过使用app, 查看内存的分配情况
  • 可以查看做出了某个操作后(比如点击了某个按钮\显示了某个控制器), 内存是否有暴增的情况(突然变化)

• Leaks
  • 运行程序, 通过使用app, 查看是否有内存泄漏
  • 红色区域代表内存泄漏出现的地方，可点击对应泄露点，定位到可能出现泄漏的代码。
  • 如图绿色部分表示没有内存泄漏

2.内存分配的使用和图片加载分析

通常项目中图片加载方式有两种:

1. imageWithNamed:
2. imageWithContentFile:

下面分别来使用 Leaks 来测试一下两种图片加载方式有什么不同。
测试代码如下：

- (void)viewDidLoad {
    [super viewDidLoad];

    NSString *imagePath = [[NSBundle mainBundle] pathForResource:@"2.png" ofType:nil];
    self.imageView.image = [UIImage imageWithContentsOfFile:imagePath];
    self.imageView1.image = [UIImage imageWithContentsOfFile:imagePath];

    /*
     self.imageView.image = [UIImage imageNamed:@"2"];
     self.imageView1.image = [UIImage imageNamed:@"2"];
     */
}

2.1 imageWithNamed:

imageName:加载图片特点：

1. 当对象销毁,图片对象不会随着一起销毁
2. 加载的图片占据的内存较大:8.54MB
3. 相同的图片只会加载一份到内存中,如果同时使用,使用同一个对象即可

2.2 imageWithContentFile：

imageWithContentOfFile:加载图片特点：

1. 当对象销毁的时候,图形对象会随着一起销毁
2. 加载的图片,占据的内存较小:6.25MB（图中是两张，以示例代码为准）
3. 相同的图片会多次加载到内存中,如果同时使用图片,使用的是不同的对象

两种图片加载方式小结:

• imageName:如果一些图片在多个界面都会使用,并且图片较小,使用频率高.(图标/小的背景图)
• imageWithContentOfFile:只在一个地方使用,并且图片较大,使用频率不高.(版本新特性/相册)

3.图片在沙盒中的存在形式

3.1 不支持图片压缩

1. 如果项目的Deployment Target <= 6.x
   1. 所有图片直接暴露在沙盒的资源包(main Bundle), 不会压缩到Assets.car文件

3.2 支持图片压缩

1. 如果项目的Deployment Target >= 7.x
   1. 放在Images.xcassets里面的所有图片会压缩到Assets.car文件, 不会直接暴露在沙盒的资源包(main Bundle)
   2. 没有放在Images.xcassets里面的所有图片会直接暴露在沙盒的资源包(main Bundle), 不会压缩到Assets.car文件

3.3 小结

1. 会压缩到Assets.car文件, 没有直接暴露在沙盒的资源包(main Bundle)
    * 条件 : "Deployment Target >= 7.x" 并且是 "放在Images.xcassets里面的所有图片"
    * 影响 : 无法得到图片的全路径, 只能通过图片名(imageNamed:方法)来加载图片, 永远会有缓存

2. 不会压缩到Assets.car文件, 直接暴露在沙盒的资源包(main Bundle)
    * 条件 : 除1> 以外的所有情况
    * 影响 : 可以得到图片的全路径, 可以通过全路径(imageWithContentsOfFile:方法)来加载图片, 不会有缓存

4.综上：图片资源加载结论

• 小图片\使用频率比较高的图片

  • 放在Images.xcassets里面

• 大图片\使用频率比较低的图片(一次性的图片, 比如版本新特性的图片)

  • 不要放在Images.xcassets里面

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') top left;}
body{ background-color: #f8f8f8;}
pre{-webkit-border-radius:0.4em;-moz-border-radius:0.4em;-ms-border-radius:0.4em;-o-border-radius:0.4em;border-radius:0.4em;border:1px solid #e7dec3;line-height:1.45em;font-size:13px;margin-bottom:2.1em;padding:.8em 1em;color:#586e75;overflow:auto}
.markdown-body code{background: none;}
h3.filename+pre{-moz-border-radius-topleft:0px;-webkit-border-top-left-radius:0px;border-top-left-radius:0px;-moz-border-radius-topright:0px;-webkit-border-top-right-radius:0px;border-top-right-radius:0px}
p code,li code{display:inline-block;white-space:no-wrap;background:#fff;font-size:.8em;line-height:1.5em;color:#555;border:1px solid #ddd;-webkit-border-radius:0.4em;-moz-border-radius:0.4em;-ms-border-radius:0.4em;-o-border-radius:0.4em;border-radius:0.4em;padding:0 .3em;margin:-1px 0}
p pre code,li pre code{font-size:1em !important;background:none;border:none}

/*

Orginal Style from ethanschoonover.com/solarized (c) Jeremy Hull

*/

.hljs {
display: block;
overflow-x: auto;
padding: 0.5em;
background: #fdf6e3;
color: #657b83;
-webkit-text-size-adjust: none;
}

.hljs-comment,
.diff .hljs-header,
.hljs-doctype,
.hljs-pi,
.lisp .hljs-string {
color: #93a1a1;
}

/* Solarized Green */
.hljs-keyword,
.hljs-winutils,
.method,
.hljs-addition,
.css .hljs-tag,
.hljs-request,
.hljs-status,
.nginx .hljs-title {
color: #859900;
}

/* Solarized Cyan */
.hljs-number,
.hljs-command,
.hljs-string,
.hljs-tag .hljs-value,
.hljs-rule .hljs-value,
.hljs-doctag,
.tex .hljs-formula,
.hljs-regexp,
.hljs-hexcolor,
.hljs-link_url {
color: #2aa198;
}

/* Solarized Blue */
.hljs-title,
.hljs-localvars,
.hljs-chunk,
.hljs-decorator,
.hljs-built_in,
.hljs-identifier,
.vhdl .hljs-literal,
.hljs-id,
.css .hljs-function,
.hljs-name {
color: #268bd2;
}

/* Solarized Yellow */
.hljs-attribute,
.hljs-variable,
.lisp .hljs-body,
.smalltalk .hljs-number,
.hljs-constant,
.hljs-class .hljs-title,
.hljs-parent,
.hljs-type,
.hljs-link_reference {
color: #b58900;
}

/* Solarized Orange */
.hljs-preprocessor,
.hljs-preprocessor .hljs-keyword,
.hljs-pragma,
.hljs-shebang,
.hljs-symbol,
.hljs-symbol .hljs-string,
.diff .hljs-change,
.hljs-special,
.hljs-attr_selector,
.hljs-subst,
.hljs-cdata,
.css .hljs-pseudo,
.hljs-header {
color: #cb4b16;
}

/* Solarized Red */
.hljs-deletion,
.hljs-important {
color: #dc322f;
}

/* Solarized Violet */
.hljs-link_label {
color: #6c71c4;
}

.tex .hljs-formula {
background: #eee8d5;
}
-->