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<article id="post-Android RSA密钥对与网关公钥openssl兼容问题记录" class="article article-type-post article-index" itemscope itemprop="blogPost">
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<h3 id="PKCS-1和PKCS-8"><a href="#PKCS-1和PKCS-8" class="headerlink" title="PKCS#1和PKCS#8"></a>PKCS#1和PKCS#8</h3><p>PKCS（The Public-Key Cryptography Standards）是一系列公钥密码学的相关标准，其中 《PKCS#1: RSA Cryptography Standard》 是RSA密码学标准的基础部分，而 《PKCS#8: Private-Key Information Syntax Standard》 是私钥信息语法格式。</p>
<p>在PKCS#1中，详细地定义了RSA公钥和私钥的语法格式，通常将符合这种语法的公私钥称为PKCS#1格式的公私钥。<br>在PKCS#8中，描述了一种私钥信息的语法，同时还提供一种加密密钥的语法。比如RSA私钥证书中的加密私钥就是用此描述的。相应地，符合此标准的私钥也称为PKCS#8格式的私钥。<br>通常，在java中的RSA私钥是使用PKCS#8格式，在Openssl中是PKCS#1格式。</p>
<p>X.509公钥证书<br>X.509是一系列的证书标准。在这里提及是因为Java中的RSA公钥的编码就是符合X.509证书公钥的。通常，Openssl中的公钥采用PKCS#1编码，而Java中则通常是X.509编码。</p>
<h3 id="秘钥格式"><a href="#秘钥格式" class="headerlink" title="秘钥格式"></a>秘钥格式</h3><p>RSA秘钥存储一般有两种格式</p>
<ul>
<li>DER</li>
<li>PEM<h4 id="DER"><a href="#DER" class="headerlink" title="DER"></a>DER</h4>DER:Distinguished Encoding Rules(可辨别编码规则)，是ASN.1的一种。<br>ASN.1:Abstract Syntax Notation One(抽象语法标记)，ASN.1是一种 ISO/ITU-T 标准，描述了一种对数据进行表示、编码、传输和解码的数据格式。它提供了一整套正规的格式用于描述对象的结构，而不管语言上如何执行及这些数据的具体指代，也不用去管到底是什么样的应用程序。<br>证书信息一般以二进制的DER格式存储在文件中以供RSA，SSL使用。<h4 id="PEM"><a href="#PEM" class="headerlink" title="PEM"></a>PEM</h4>DER一般是二进制文件形式存储，打印性较差，因此对DER内容进行base64编码，并补充说明key类型的头和尾就构成了PEM</li>
</ul>
<figure class="highlight haml"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br></pre></td><td class="code"><pre><span class="line">-<span class="ruby">----<span class="keyword">BEGIN</span> PUBLIC KEY-----</span></span><br><span class="line"><span class="ruby">MIGfMA0GCSqGSIb3DQEBAQUAA4GNADCBiQKBgQDMYfnvWtC8Id5bPKae5yXSxQTt</span></span><br><span class="line"><span class="ruby">+Zpul6AnnZWfI2TtIarvjHBFUtXRo96y7hoL4VWOPKGCsRqMFDkrbeUjRrx8iL91</span></span><br><span class="line"><span class="ruby"><span class="number">4</span>/srnyf6sh9c8Zk04xEOpK1ypvBz+Ks4uZObtjnnitf0NBGdjMKxveTq+VE7BWUI</span></span><br><span class="line"><span class="ruby">yQjtQ8mbDOsiLLvh7wIDAQAB</span></span><br><span class="line"><span class="ruby">-----<span class="keyword">END</span> PUBLIC KEY-----</span></span><br></pre></td></tr></table></figure>
<p>因此PEM,DER实质内容是相同的。</p>
<blockquote>
<p>上面提到key以一定的结构存储的，不同的结构，补充的元信息也不同主要有两种组织形式PKCS#1,PKCS#8</p>
</blockquote>
<h4 id="PKCS-1"><a href="#PKCS-1" class="headerlink" title="PKCS#1"></a>PKCS#1</h4><p>PKCS#1结构仅为RSA设计</p>
<ul>
<li>PEM形式</li>
</ul>
<p>PublicKey</p>
<figure class="highlight haml"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br></pre></td><td class="code"><pre><span class="line">-<span class="ruby">----<span class="keyword">BEGIN</span> RSA PUBLIC KEY-----</span></span><br><span class="line"><span class="ruby">BASE64 ENCODED DATA</span></span><br><span class="line"><span class="ruby">-----<span class="keyword">END</span> RSA PUBLIC KEY-----</span></span><br></pre></td></tr></table></figure>
<p>PrivateKey</p>
<figure class="highlight haml"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br></pre></td><td class="code"><pre><span class="line">-<span class="ruby">----<span class="keyword">BEGIN</span> RSA PRIVATE KEY-----</span></span><br><span class="line"><span class="ruby">BASE64 ENCODED DATA</span></span><br><span class="line"><span class="ruby">-----<span class="keyword">END</span> RSA PRIVATE KEY-----</span></span><br></pre></td></tr></table></figure>
<ul>
<li>DER的结构</li>
</ul>
<p>PublicKey</p>
<figure class="highlight fortran"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br></pre></td><td class="code"><pre><span class="line">RSAPublicKey ::= <span class="keyword">SEQUENCE</span> {</span><br><span class="line">modulus <span class="keyword">INTEGER</span>, -- n</span><br><span class="line">publicExponent <span class="keyword">INTEGER</span> -- e</span><br><span class="line">}</span><br></pre></td></tr></table></figure>
<p>PrivateKey</p>
<figure class="highlight fortran"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br><span class="line">11</span><br><span class="line">12</span><br></pre></td><td class="code"><pre><span class="line">RSAPrivateKey ::= <span class="keyword">SEQUENCE</span> {</span><br><span class="line">version Version,</span><br><span class="line">modulus <span class="keyword">INTEGER</span>, -- n</span><br><span class="line">publicExponent <span class="keyword">INTEGER</span>, -- e</span><br><span class="line">privateExponent <span class="keyword">INTEGER</span>, -- d</span><br><span class="line">prime1 <span class="keyword">INTEGER</span>, -- p</span><br><span class="line">prime2 <span class="keyword">INTEGER</span>, -- q</span><br><span class="line">exponent1 <span class="keyword">INTEGER</span>, -- d <span class="built_in">mod</span> (p-<span class="number">1</span>)</span><br><span class="line">exponent2 <span class="keyword">INTEGER</span>, -- d <span class="built_in">mod</span> (q-<span class="number">1</span>)</span><br><span class="line">coefficient <span class="keyword">INTEGER</span>, -- (inverse of q) <span class="built_in">mod</span> p</span><br><span class="line">otherPrimeInfos OtherPrimeInfos <span class="keyword">OPTIONAL</span></span><br><span class="line">}</span><br></pre></td></tr></table></figure>
<h3 id="PKCS-8"><a href="#PKCS-8" class="headerlink" title="PKCS#8"></a>PKCS#8</h3><p>X509,SSL支持的算法不仅仅是RSA，因此产生了更具有通用性的PKCS#8</p>
<ul>
<li>PEM</li>
</ul>
<p>PublicKey</p>
<figure class="highlight haml"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br></pre></td><td class="code"><pre><span class="line">-<span class="ruby">----<span class="keyword">BEGIN</span> PUBLIC KEY-----</span></span><br><span class="line"><span class="ruby">BASE64 ENCODED DATA</span></span><br><span class="line"><span class="ruby">-----<span class="keyword">END</span> PUBLIC KEY-----</span></span><br></pre></td></tr></table></figure>
<p>PrivateKey</p>
<figure class="highlight haml"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br></pre></td><td class="code"><pre><span class="line">-<span class="ruby">----<span class="keyword">BEGIN</span> PRIVATE KEY-----</span></span><br><span class="line"><span class="ruby">BASE64 ENCODED DATA</span></span><br><span class="line"><span class="ruby">-----<span class="keyword">END</span> PRIVATE KEY-----</span></span><br></pre></td></tr></table></figure>
<ul>
<li>DER</li>
</ul>
<p>PublicKey</p>
<figure class="highlight bnf"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br></pre></td><td class="code"><pre><span class="line">PublicKeyInfo ::= SEQUENCE {</span><br><span class="line"> algorithm AlgorithmIdentifier,</span><br><span class="line"> PublicKey BIT STRING</span><br><span class="line">}</span><br><span class="line"></span><br><span class="line">AlgorithmIdentifier ::= SEQUENCE {</span><br><span class="line"> algorithm OBJECT IDENTIFIER,</span><br><span class="line"> parameters ANY DEFINED BY algorithm OPTIONAL</span><br><span class="line">}</span><br></pre></td></tr></table></figure>
<p>RSA公钥的OID 为 1.2.840.113549.1.1.1</p>
<p>PrivateKey</p>
<figure class="highlight bnf"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br></pre></td><td class="code"><pre><span class="line">PrivateKeyInfo ::= SEQUENCE {</span><br><span class="line"> version Version,</span><br><span class="line"> algorithm AlgorithmIdentifier,</span><br><span class="line"> PrivateKey BIT STRING</span><br><span class="line">}</span><br><span class="line"></span><br><span class="line">AlgorithmIdentifier ::= SEQUENCE {</span><br><span class="line"> algorithm OBJECT IDENTIFIER,</span><br><span class="line"> parameters ANY DEFINED BY algorithm OPTIONAL</span><br><span class="line">}</span><br></pre></td></tr></table></figure>
<p>RSA私钥的OID 为 1.2.840.113549.1.1.1</p>
<p>与PKCS#1相比将文件包含的加密算法和Key分开存储，因此可以存储其他加密算法的Key</p>
<h3 id="Java与OPENSSL"><a href="#Java与OPENSSL" class="headerlink" title="Java与OPENSSL"></a>Java与OPENSSL</h3><p>java默认的KeyPairGenerator生成的rsa 公私钥不能直接被openssl来使用</p>
<p>java生成的私钥是pkcs8 格式 公钥是x.509格式</p>
<p>openssl生成和使用的是pkcs1格式，pem公私钥文件，所以需要转换</p>
<h4 id="PKCS-8转PKCS-1"><a href="#PKCS-8转PKCS-1" class="headerlink" title="PKCS#8转PKCS#1"></a>PKCS#8转PKCS#1</h4><p>有个第三方sdk<a href="https://www.bouncycastle.org/fips-java/" target="_blank" rel="noopener">Bouncy Castle</a>可以进行一些转换操作</p>
<h4 id="Private-key"><a href="#Private-key" class="headerlink" title="Private key"></a>Private key</h4><p>Convert private key from PKCS8 to PKCS1:</p>
<figure class="highlight mipsasm"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br></pre></td><td class="code"><pre><span class="line">PrivateKey priv = pair.getPrivate()<span class="comment">;</span></span><br><span class="line"><span class="keyword">byte[] </span>privBytes = priv.getEncoded()<span class="comment">;</span></span><br><span class="line"></span><br><span class="line">PrivateKeyInfo pkInfo = PrivateKeyInfo.getInstance(privBytes)<span class="comment">;</span></span><br><span class="line">ASN1Encodable encodable = pkInfo.parsePrivateKey()<span class="comment">;</span></span><br><span class="line">ASN1Primitive primitive = encodable.toASN1Primitive()<span class="comment">;</span></span><br><span class="line"><span class="keyword">byte[] </span>privateKeyPKCS1 = primitive.getEncoded()<span class="comment">;</span></span><br></pre></td></tr></table></figure>
<p>Convert private key in PKCS1 to PEM:</p>
<figure class="highlight haxe"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br></pre></td><td class="code"><pre><span class="line">PemObject pemObject = <span class="keyword">new</span> <span class="type">PemObject</span>(<span class="string">"RSA PRIVATE KEY"</span>, privateKeyPKCS1);</span><br><span class="line">StringWriter stringWriter = <span class="keyword">new</span> <span class="type">StringWriter</span>();</span><br><span class="line">PemWriter pemWriter = <span class="keyword">new</span> <span class="type">PemWriter</span>(stringWriter);</span><br><span class="line">pemWriter.writeObject(pemObject);</span><br><span class="line">pemWriter.close();</span><br><span class="line"><span class="keyword">String</span> pemString = stringWriter.toString();</span><br></pre></td></tr></table></figure>
<p>Check with command line OpenSSL that the key format is as expected:</p>
<figure class="highlight stylus"><table><tr><td class="gutter"><pre><span class="line">1</span><br></pre></td><td class="code"><pre><span class="line">openssl rsa -<span class="keyword">in</span> rsa_private_key<span class="selector-class">.pem</span> -noout -text</span><br></pre></td></tr></table></figure>
<h4 id="Public-key"><a href="#Public-key" class="headerlink" title="Public key"></a>Public key</h4><p>Convert public key from X.509 SubjectPublicKeyInfo to PKCS1:</p>
<figure class="highlight mipsasm"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br></pre></td><td class="code"><pre><span class="line">PublicKey pub = pair.getPublic()<span class="comment">;</span></span><br><span class="line"><span class="keyword">byte[] </span>pubBytes = pub.getEncoded()<span class="comment">;</span></span><br><span class="line"></span><br><span class="line"><span class="keyword">SubjectPublicKeyInfo </span>spkInfo = <span class="keyword">SubjectPublicKeyInfo.getInstance(pubBytes);</span></span><br><span class="line"><span class="keyword">ASN1Primitive </span>primitive = spkInfo.parsePublicKey()<span class="comment">;</span></span><br><span class="line"><span class="keyword">byte[] </span>publicKeyPKCS1 = primitive.getEncoded()<span class="comment">;</span></span><br></pre></td></tr></table></figure>
<p>Convert public key in PKCS1 to PEM:</p>
<figure class="highlight haxe"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br></pre></td><td class="code"><pre><span class="line">PemObject pemObject = <span class="keyword">new</span> <span class="type">PemObject</span>(<span class="string">"RSA PUBLIC KEY"</span>, publicKeyPKCS1);</span><br><span class="line">StringWriter stringWriter = <span class="keyword">new</span> <span class="type">StringWriter</span>();</span><br><span class="line">PemWriter pemWriter = <span class="keyword">new</span> <span class="type">PemWriter</span>(stringWriter);</span><br><span class="line">pemWriter.writeObject(pemObject);</span><br><span class="line">pemWriter.close();</span><br><span class="line"><span class="keyword">String</span> pemString = stringWriter.toString();</span><br></pre></td></tr></table></figure>
<p>Check with command line OpenSSL that the key format is as expected:</p>
<figure class="highlight stylus"><table><tr><td class="gutter"><pre><span class="line">1</span><br></pre></td><td class="code"><pre><span class="line">openssl rsa -<span class="keyword">in</span> rsa_public_key<span class="selector-class">.pem</span> -RSAPublicKey_in -noout -text</span><br></pre></td></tr></table></figure>
<h3 id="解决方案"><a href="#解决方案" class="headerlink" title="解决方案"></a>解决方案</h3><h4 id="公钥"><a href="#公钥" class="headerlink" title="公钥"></a>公钥</h4><p>Android端生成的公钥先BASE64加密再添加pem格式header和footer后发送给网关后openssl能正常加密，Android端收到网关发送的pem格式的公钥，需要去掉header和footer再base64解密后能正常生成PublicKey</p>
<figure class="highlight actionscript"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br></pre></td><td class="code"><pre><span class="line"><span class="keyword">const</span> val PEM_HEADER = <span class="string">"-----BEGIN PUBLIC KEY-----\n"</span></span><br><span class="line"><span class="keyword">const</span> val PEM_FOOTER = <span class="string">"-----END PUBLIC KEY-----\n"</span></span><br></pre></td></tr></table></figure>
<h4 id="私钥"><a href="#私钥" class="headerlink" title="私钥"></a>私钥</h4><p>OPENSSL可以生成PKCS#8格式的私钥，与Android端保持一致，不过因为私钥不用交换，只要能正常工作哪种格式都可以。</p>
<h3 id="参考文章"><a href="#参考文章" class="headerlink" title="参考文章"></a>参考文章</h3><ul>
<li><a href="https://medium.com/@oryxx/rsa%E7%A7%98%E9%92%A5%E4%BB%8B%E7%BB%8D%E5%8F%8Aopenssl%E7%94%9F%E6%88%90%E5%91%BD%E4%BB%A4-d3fcc689513f" target="_blank" rel="noopener">rsa秘钥介绍及openssl生成命令</a></li>
<li><a href="https://stackoverflow.com/questions/7611383/generating-rsa-keys-in-pkcs1-format-in-java" target="_blank" rel="noopener">generating-rsa-keys-in-pkcs1-format-in-java</a></li>
</ul>
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<article id="post-记一次RecyclerView滑动卡顿优化" class="article article-type-post article-index" itemscope itemprop="blogPost">
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<a class="article-title" href="2020/11/28/记一次RecyclerView滑动卡顿优化/">记一次RecyclerView滑动卡顿优化</a>
</h1>
<a href="2020/11/28/记一次RecyclerView滑动卡顿优化/" class="archive-article-date">
<time datetime="2020-11-28T14:24:08.654Z" itemprop="datePublished"><i class="icon-calendar icon"></i>2020-11-28</time>
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<div class="article-entry" itemprop="articleBody">
<h3 id="背景"><a href="#背景" class="headerlink" title="背景"></a>背景</h3><p>项目中使用到了日历选择控件，这个控件直接用的网上现成的轮子，使用的RecyclerView实现。实际使用中，当数据量较大时滑动会很明显的卡顿，严重的影响使用。</p>
<h3 id="调研"><a href="#调研" class="headerlink" title="调研"></a>调研</h3><p>问题原因很明显在于RecyclerView滑动时Adapter创建ViewHolder和BindViewHolder中有耗时操作，先搜索一下前人总结的经验：</p>
<h4 id="布局优化"><a href="#布局优化" class="headerlink" title="布局优化"></a>布局优化</h4><h5 id="减少过度绘制"><a href="#减少过度绘制" class="headerlink" title="减少过度绘制"></a>减少过度绘制</h5><blockquote>
<p>减少布局层级，可以考虑使用自定义View来减少层级，或者更合理的设置布局来减少层级。</p>
</blockquote>
<h5 id="减少xml文件的inflate时间"><a href="#减少xml文件的inflate时间" class="headerlink" title="减少xml文件的inflate时间"></a>减少xml文件的inflate时间</h5><blockquote>
<p>xml文件包括：layout、drawable的xml，xml文件inflate出ItemView是通过耗时的IO操作。可以使用代码去生成布局，即<code>new View()</code>的方式。这种方式是比较麻烦，但是在布局太过复杂，或对性能要求比较高的时候可以使用。</p>
</blockquote>
<h5 id="减少View对象的创建"><a href="#减少View对象的创建" class="headerlink" title="减少View对象的创建"></a>减少View对象的创建</h5><blockquote>
<p>一个稍微复杂的 Item 会包含大量的 View，而大量的 View 的创建也会消耗大量时间，所以要尽可能简化 ItemView；设计 ItemType 时，对多 ViewType 能够共用的部分尽量设计成自定义 View，减少 View 的构造和嵌套。</p>
</blockquote>
<h5 id="设置固定高度"><a href="#设置固定高度" class="headerlink" title="设置固定高度"></a>设置固定高度</h5><blockquote>
<p>如果item高度是固定的话，可以使用<code>RecyclerView.setHasFixedSize(true);</code>来避免requestLayout浪费资源</p>
</blockquote>
<h4 id="滑动优化"><a href="#滑动优化" class="headerlink" title="滑动优化"></a>滑动优化</h4><p>参考Glide滑动时停止请求</p>
<p><code>if (newState == RecyclerView.SCROLL_STATE_DRAGGING || newState == RecyclerView.SCROLL_STATE_SETTLING) {
sIsScrolling = true;
Glide.with(VipMasterActivity.this).pauseRequests();
} else if (newState == RecyclerView.SCROLL_STATE_IDLE) {
if (sIsScrolling == true) {
Glide.with(VipMasterActivity.this).resumeRequests();
}
sIsScrolling = false;
}</code></p>
<h4 id="其他优化"><a href="#其他优化" class="headerlink" title="其他优化"></a>其他优化</h4><h5 id="增加RecyclerView的缓存"><a href="#增加RecyclerView的缓存" class="headerlink" title="增加RecyclerView的缓存"></a>增加RecyclerView的缓存</h5><blockquote>
<p>用空间换时间，来提高滚动的流畅性。</p>
</blockquote>
<figure class="highlight java"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br></pre></td><td class="code"><pre><span class="line">recyclerView.setItemViewCacheSize(<span class="number">20</span>);</span><br><span class="line">recyclerView.setDrawingCacheEnabled(<span class="keyword">true</span>);</span><br><span class="line">recyclerView.setDrawingCacheQuality(View.DRAWING_CACHE_QUALITY_HIGH);</span><br></pre></td></tr></table></figure>
<h5 id="增加RecyclerView预留的额外空间"><a href="#增加RecyclerView预留的额外空间" class="headerlink" title="增加RecyclerView预留的额外空间"></a>增加RecyclerView预留的额外空间</h5><blockquote>
<p>额外空间：显示范围之外，应该额外缓存的空间</p>
</blockquote>
<figure class="highlight java"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br></pre></td><td class="code"><pre><span class="line"><span class="keyword">new</span> LinearLayoutManager(<span class="keyword">this</span>) {</span><br><span class="line"> <span class="meta">@Override</span></span><br><span class="line"> <span class="function"><span class="keyword">protected</span> <span class="keyword">int</span> <span class="title">getExtraLayoutSpace</span><span class="params">(RecyclerView.State state)</span> </span>{</span><br><span class="line"> <span class="keyword">return</span> size;</span><br><span class="line"> }</span><br><span class="line">};</span><br></pre></td></tr></table></figure>
<h3 id="卡顿分析"><a href="#卡顿分析" class="headerlink" title="卡顿分析"></a>卡顿分析</h3><blockquote>
<p>了解了卡顿的原因和大致的解决方法后，现在要找到卡顿的元凶对症下药</p>
</blockquote>
<p>要分析CPU和内存当然得用到Android Studio自带的Profile工具，先看看文档这个工具的用法。</p>
<h4 id="Call-Chart"><a href="#Call-Chart" class="headerlink" title="Call Chart"></a><strong>Call Chart</strong></h4><p><img src="/images/640.webp" alt="img"></p>
<blockquote>
<p>Call Chart 横轴就是时间线，用来展示方法开始与结束的确切时间，纵轴则自上而下展示了方法间调用和被调用的关系。Call Chart 已经比原数据可读性高很多，但它仍然不方便发现那些运行时间很长的代码，这时我们便需要使用 Flame Chart。</p>
</blockquote>
<h4 id="Flame-Chart"><a href="#Flame-Chart" class="headerlink" title="Flame Chart"></a><strong>Flame Chart</strong></h4><p>Flame Chart 提供了一个调用栈的聚合信息。与 Call Chart 不同的是，它的横轴显示的是百分比数值。由于忽略了时间线信息，Flame Chart 可以展示每次调用消耗时间占用整个记录时长的百分比。同时纵轴也被对调了，在顶部展示的是被调用者，底部展示的是调用者。此时的图表看起来越往上越窄，就好像火焰一样，因此得名:</p>
<p><img src="/images/641.webp" alt="img"></p>
<p>Flame Chart 是基于 Call Chart 来重新组织信息的。从 Call Chat 开始，合并相同的调用栈，以耗时由长至短对调用栈进行排序，就获得了 Flame Chart:</p>
<p><img src="/images/642.gif" alt="img"></p>
<p>对比两种图表不难看出，左边的 Call Chart 有详细的时间信息，可以展示每次调用是何时发生的；右边的 Flame Chart 所展示的聚合信息，则有助于发现一个总耗时很长的调用路径:</p>
<p><img src="/images/643.webp" alt="img"></p>
<h4 id="Top-Down-Tree"><a href="#Top-Down-Tree" class="headerlink" title="Top Down Tree"></a><strong>Top Down Tree</strong></h4><p>前面介绍的两种图表，可以帮助我们从两种角度纵览全局。而如果我们需要更精确的时间信息，就需要使用 Top Down Tree。在 CPU Profiler 中，Top Down 选项卡展示的是一个数据表格，为了便于理解其中各组数据的意义，接下来我们会尝试构建一个 Top Down Tree。</p>
<p>构建一个 Top Down Tree 并不复杂。以 Flame Chart 为基础，您只需要从调用者开始，持续添加被调用者作为子节点，直到整个 Flame Chart 被遍历一遍，您就获得了一个 Top Down Tree:</p>
<p><img src="/images/644.gif" alt="img"></p>
<p>对于每个节点，我们关注三个时间信息:</p>
<ul>
<li>Self Time —— 运行自己的代码所消耗的时间；</li>
<li>Children Time —— 调用其他方法的时间；</li>
<li>Total Time —— 前面两者时间之和。</li>
</ul>
<p>有了 Top Down Tree，我们能轻易将这三组信息归纳到一个表格之中:</p>
<p><img src="/images/645.webp" alt="img"></p>
<p>下面我们来看一看这些时间信息是怎么计算的。左手边是和前面一样的 Flame Chart 示例。右边则是一个 Top Down Tree。</p>
<p>我们从 A 节点开始:</p>
<ul>
<li>A 消耗了 1 秒钟来运行自己的代码，所以 Self Time 是 1；</li>
<li>然后它消耗了 9 秒中去调用其他方法，这意味着它的 Children Time 是 9；</li>
<li>这样就一共消耗了 10 秒钟，Total Time 是 10；</li>
<li>B 和 D 以此类推…</li>
</ul>
<p>值得注意的是，D 节点只是调用了 C，自己没做任何事，这种情况在方法封装时很常见。所以 D 的 Children Time 和 Total Time 都是 2。</p>
<p>下面是表格完全展开的状态。当您在 Android Studio 中分析应用时，CPU Profiler 会完成上面所有的计算，您只要理解这些数字是怎么产生的即可:</p>
<p><img src="/images/646.webp" alt="img"></p>
<p>对比左右两边: Flame Chart 比较便于发现总耗时很长的调用链，而 Top Down Tree 则方便观察其中每一步所消耗的精确时间。作为一个表格，Top Down Tree 也支持按单独维度进行排序，这点同样非常实用。</p>
<h4 id="Bottom-Up-Tree"><a href="#Bottom-Up-Tree" class="headerlink" title="Bottom Up Tree"></a><strong>Bottom Up Tree</strong></h4><p>当您希望方便地找到某个方法的调用栈时，Bottom Up Tree 就派上用场了。”树” 如其名，Bottom Up Tree 从底部开始构建，这样我们就能通过在节点上不断添加调用者来反向构建出树。由于每个独立节点都可以构建出一棵树，所以这里其实是森林 (Forest):</p>
<p><img src="/images/647.gif" alt="img"></p>
<p>让我们再做些计算来搞定这些时间信息。</p>
<p>表格有四行，因为我们有四个树在森林中。从节点 C 开始:</p>
<ul>
<li>Self Time 是 4 + 2 = 6 秒钟；</li>
<li>C 没有调用其他方法，所以 Children Time 是 0；</li>
<li>前面两者相加，总时间为 6 秒钟。</li>
</ul>
<p>看起来与 Top Bottom Tree 别无二致。接下来展开 C 节点，计算 C 的调用者 B 和 D 的情况。</p>
<p>在计算 B 和 D 节点的相关时间时，情况与前面的 Top Bottom Tree 有所不同:</p>
<ul>
<li>由于我们在构建基于 C 节点的 Bottom Up Tree，所以所有时间信息也都是基于 C 节点的。这时我们在计算 B 的 Self Time 时，应当计算 C 被 B 调用的时间，而不是 B 自身执行的时间，这里是 4 秒；对于 D 来说，则是 2 秒。</li>
<li>由于只有 B 和 D 调用 C 的方法，它们的 Total Time 之和应与 C 的 Total Time 相等。</li>
</ul>
<p>下一个树是 B 节点的 Bottom Up Tree，它的 Self Time 是 3 秒，Children Time 是用来调用其他方法的时间，这里只有 C，所以是 2 秒。Total Time 永远都是前两者之和。下面便是整个表格展开的样子:</p>
<p><img src="/images/648.webp" alt="img"></p>
<p>当您想要观察某个方法如何被调用，比如这个 nanoTime() 方法时，您可以使用 Bottom Up Tree 并观察 nanoTime 方法的子节点列表，通过右边的时间数据，您可以找到那个您所感兴趣的调用:</p>
<p><img src="/images/649.webp" alt="img"></p>
<h4 id="总结"><a href="#总结" class="headerlink" title="总结"></a>总结</h4><p><img src="/images/650.webp" alt="img"></p>
<h3 id="实战"><a href="#实战" class="headerlink" title="实战"></a>实战</h3><h4 id="分析"><a href="#分析" class="headerlink" title="分析"></a>分析</h4><blockquote>
<p>查看上图总结，FlameChart火焰图最适合来查找耗时最长的路径。打开android studio的profile工具录制一段时间，然后打开Flame Chart分析</p>
</blockquote>
<p><img src="/images/1593410339604.png" alt="img"></p>
<p><strong>查看上图发现在RecyclerView Adapter的bingViewHolder中Calendar.getInstance()占据了90%的时间。</strong></p>
<p>查看相关代码</p>
<figure class="highlight kotlin"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br><span class="line">11</span><br><span class="line">12</span><br><span class="line">13</span><br><span class="line">14</span><br><span class="line">15</span><br><span class="line">16</span><br><span class="line">17</span><br></pre></td><td class="code"><pre><span class="line"><span class="comment">//判断是否包含数据</span></span><br><span class="line"><span class="keyword">private</span> boolean isContainData(DayTimeEntity dayTimeEntity) {</span><br><span class="line"> <span class="keyword">if</span> (dayTimeEntity == <span class="literal">null</span> || hasDataDayTimeEntityList.isEmpty()) {</span><br><span class="line"> <span class="keyword">return</span> <span class="literal">false</span>;</span><br><span class="line"> }</span><br><span class="line"> <span class="keyword">for</span> (DayTimeEntity hasDayTimeEntity : hasDataDayTimeEntityList) {</span><br><span class="line"></span><br><span class="line"> Calendar hasDataCalendar = hasDayTimeEntity.getCalendarTime();</span><br><span class="line"> Calendar selectCalendar = dayTimeEntity.getCalendarTime();</span><br><span class="line"></span><br><span class="line"> <span class="keyword">if</span> (selectCalendar.getTimeInMillis() == hasDataCalendar.getTimeInMillis()) {</span><br><span class="line"> <span class="keyword">return</span> <span class="literal">true</span>;</span><br><span class="line"> }</span><br><span class="line"> }</span><br><span class="line"></span><br><span class="line"> <span class="keyword">return</span> <span class="literal">false</span>;</span><br><span class="line">}</span><br></pre></td></tr></table></figure>
<p>在这个判断当天是否有数据的方法中，遍历了有数据日期的List,每次生成两个Calendar对象去对比是否是当天。当hasDataDayTimeEntityList有几百个时，<strong>每次bindViewHolder需要生成hasDataDayTimeEntityList * 2个Calendar对象。</strong></p>
<h4 id="改进"><a href="#改进" class="headerlink" title="改进"></a>改进</h4><p>查看DayTimeEntity类结构，包含了年月日的信息。</p>
<figure class="highlight axapta"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br></pre></td><td class="code"><pre><span class="line"><span class="keyword">public</span> <span class="class"><span class="keyword">class</span> <span class="title">DayTimeEntity</span> <span class="keyword">implements</span> <span class="title">Parcelable</span> </span>{</span><br><span class="line"> <span class="keyword">public</span> <span class="keyword">int</span> day;</span><br><span class="line"> <span class="keyword">public</span> <span class="keyword">int</span> month;</span><br><span class="line"> <span class="keyword">public</span> <span class="keyword">int</span> year;</span><br></pre></td></tr></table></figure>
<p>所有判断逻辑直接改为判断两个DayTimeEntity的年月日字段，不用生成任何对象。</p>
<figure class="highlight applescript"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br></pre></td><td class="code"><pre><span class="line">@Override public <span class="built_in">boolean</span> <span class="keyword">equals</span>(Object o) {</span><br><span class="line"> <span class="keyword">if</span> (this == o) <span class="literal">return</span> <span class="literal">true</span>;</span><br><span class="line"> <span class="keyword">if</span> (o == null || getClass() != o.getClass()) <span class="literal">return</span> <span class="literal">false</span>;</span><br><span class="line"></span><br><span class="line"> DayTimeEntity <span class="keyword">that</span> = (DayTimeEntity) o;</span><br><span class="line"></span><br><span class="line"> <span class="keyword">if</span> (<span class="built_in">day</span> != <span class="keyword">that</span>.<span class="built_in">day</span>) <span class="literal">return</span> <span class="literal">false</span>;</span><br><span class="line"> <span class="keyword">if</span> (<span class="built_in">month</span> != <span class="keyword">that</span>.<span class="built_in">month</span>) <span class="literal">return</span> <span class="literal">false</span>;</span><br><span class="line"><span class="built_in"> return</span> <span class="built_in">year</span> == <span class="keyword">that</span>.<span class="built_in">year</span>;</span><br><span class="line">}</span><br></pre></td></tr></table></figure>
<h4 id="效果"><a href="#效果" class="headerlink" title="效果"></a>效果</h4><p>改完后再去使用发现滑动完全不会卡顿了，效果非常明显。</p>
<h3 id="参考链接"><a href="#参考链接" class="headerlink" title="参考链接"></a>参考链接</h3><p><a href="https://zhuanlan.zhihu.com/p/49338922" target="_blank" rel="noopener">RecyclerView性能优化</a></p>
<p><a href="https://mp.weixin.qq.com/s/MIuSi85lnrETqq3rl0Hc6A" target="_blank" rel="noopener">使用 Android Studio Profiler 工具解析应用的内存和 CPU 使用数据</a></p>
<p><a href="https://developer.android.com/studio/profile/cpu-profiler?hl=zh-cn" target="_blank" rel="noopener">使用 CPU Profiler 检查 CPU 活动</a><br>-</p>
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<a class="article-title" href="2018/08/22/APK体积优化记录/">APK瘦身记录</a>
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<p>这个项目我接手的时候是20多M，之后的一年多时间里陆续添加了很多新的模块和功能，APK体积也一路飙升。在超过了50M的时候终于忍受不住决定来一定彻底的瘦身，最后从53M缩减到26M，下面就记录一下整个瘦身的过程。</p>
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<p>不得不说Android Sudio真是越来越强大，可以直接打开APK文件并且是按文件大小排列好显示的，这下我们就可以直接看到APK体积中占大头的部分是哪些了，再针对具体情况进行优化。下面我按照从大到小的顺序来对APK进行优化。</p>
<ol>
<li>最大的文件夹libs/armea-v7a,这里面包括了十几个so文件，有播放器，视频对讲，迅飞语音等等。其中最大的就算libvlc.so接近24M，所以第一个就先想想办法拿他来开刀。网上搜索一番，发现确实可以对vlc里面的ffmpeg进行精简编译，去除不需要的编解码器，只留下我需要的编解码器(目前只是用它来播放摄像头rtsp流)。经过一番折腾后终于成功将libvlc.so的体积减小到13M，比之前缩减了11M。(其实还可以继续精简，但前提是对vlc非常熟悉，因为vlc过于庞大，编译也比较复杂，自己又不是很熟悉，所以先做到这一步)。然后剩下的其他so库都是第三方且未开源的，libs文件夹精简到此。</li>
<li>第二大文件夹为res,res最大的文件夹是其中的raw文件夹，里面有30多个mp3资源(提示语音)。马上想到对这些mp3文件进行压缩(牺牲了质量，但人耳听起来差别不大)，每个资源压缩后的大小是之前的1/3。到这里又缩小了大概6 7M。</li>
<li>raw处理完后剩下最大的就是xxhdpi文件夹了，点开里面的图片资源也是从大到小的显示，发现第一张图片居然有1.1M，点开一看是主界面的背景图，一个渐变色，完全可以用代码实现，遂删除。然后依次对后面大于100K的图片进行检查，能用代码替换的就删除，不能用代码替换的就用tinypng网站对其进行压缩。最后处理完又减少了几M。</li>
<li>最后用lint进行检查，删除没有用到的资源。</li>
</ol>
<p>最后精简完打包出来一看几乎回到一年多前的大小，要知道这一年多增加的功能是之前已有的两倍多啊。</p>
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<ul style="width: 70%">
<li style="width: 50%" q-on="click: openSlider(e, 'innerArchive')"><a href="javascript:void(0)" q-class="active:innerArchive">所有文章</a></li>
<li style="width: 50%" q-on="click: openSlider(e, 'aboutme')"><a href="javascript:void(0)" q-class="active:aboutme">关于我</a></li>
</ul>
</div>
<div class="tools-wrap">
<section class="tools-section tools-section-all" q-show="innerArchive">
<div class="search-wrap">
<input class="search-ipt" q-model="search" type="text" placeholder="find something…">
<i class="icon-search icon" q-show="search|isEmptyStr"></i>
<i class="icon-close icon" q-show="search|isNotEmptyStr" q-on="click:clearChose(e)"></i>
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<ul class="article-tag-list" q-show="showTags">
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<a href="javascript:void(0)" class="js-tag color1">APK瘦身</a>
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<div class="clearfix"></div>
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<p q-show="jsonFail" style="padding: 20px; font-size: 12px;">
缺失模块。<br/>1、请确保node版本大于6.2<br/>2、在博客根目录（注意不是yilia根目录）执行以下命令：<br/> npm i hexo-generator-json-content --save<br/><br/>
3、在根目录_config.yml里添加配置：
<pre style="font-size: 12px;" q-show="jsonFail">
jsonContent:
meta: false
pages: false
posts:
title: true
date: true
path: true
text: false
raw: false
content: false
slug: false
updated: false
comments: false
link: false
permalink: false
excerpt: false
categories: false
tags: true
</pre>
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It's a separate element as animating opacity is faster than rgba(). -->
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<div class="pswp__counter"></div>
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