Repository: incubator-griffin-site Updated Branches: refs/heads/asf-site c2c806783 -> 4020d98e5
Site updated: 2017-03-20 13:41:41 Project: http://git-wip-us.apache.org/repos/asf/incubator-griffin-site/repo Commit: http://git-wip-us.apache.org/repos/asf/incubator-griffin-site/commit/4020d98e Tree: http://git-wip-us.apache.org/repos/asf/incubator-griffin-site/tree/4020d98e Diff: http://git-wip-us.apache.org/repos/asf/incubator-griffin-site/diff/4020d98e Branch: refs/heads/asf-site Commit: 4020d98e5fd95ecd3460376a4280f473b3410b0c Parents: c2c8067 Author: guoyp <[email protected]> Authored: Mon Mar 20 13:41:41 2017 -0700 Committer: guoyp <[email protected]> Committed: Mon Mar 20 13:41:41 2017 -0700 ---------------------------------------------------------------------- 2017/03/20/hello-world/index.html | 111 +++++++++++++++++------------ archives/2017/03/index.html | 51 ++++--------- archives/2017/index.html | 51 ++++--------- archives/index.html | 51 ++++--------- images/Business_Process.png | Bin 0 -> 33482 bytes index.html | 126 ++++++++++++++++----------------- 6 files changed, 170 insertions(+), 220 deletions(-) ---------------------------------------------------------------------- http://git-wip-us.apache.org/repos/asf/incubator-griffin-site/blob/4020d98e/2017/03/20/hello-world/index.html ---------------------------------------------------------------------- diff --git a/2017/03/20/hello-world/index.html b/2017/03/20/hello-world/index.html index 67c8e10..a5b10b6 100644 --- a/2017/03/20/hello-world/index.html +++ b/2017/03/20/hello-world/index.html @@ -3,23 +3,20 @@ <head> <meta charset="utf-8"> - <title>Hello World | Hexo</title> + <title>Apache Griffin | Apache Griffin</title> <meta name="viewport" content="width=device-width, initial-scale=1, maximum-scale=1"> - <meta name="description" content="Welcome to Hexo! This is your very first post. Check documentation for more info. If you get any problems when using Hexo, you can find the answer in troubleshooting or you can ask me on GitHub. -Quick"> + <meta name="description" content="AbstractApache Griffin is a Data Quality Service platform built on Apache Hadoop and Apache Spark. It provides a framework process for defining data quality model, executing data quality measurement,"> <meta property="og:type" content="article"> -<meta property="og:title" content="Hello World"> +<meta property="og:title" content="Apache Griffin"> <meta property="og:url" content="http://yoursite.com/2017/03/20/hello-world/index.html";> -<meta property="og:site_name" content="Hexo"> -<meta property="og:description" content="Welcome to Hexo! This is your very first post. Check documentation for more info. If you get any problems when using Hexo, you can find the answer in troubleshooting or you can ask me on GitHub. -Quick"> -<meta property="og:updated_time" content="2017-03-20T18:03:41.000Z"> +<meta property="og:site_name" content="Apache Griffin"> +<meta property="og:description" content="AbstractApache Griffin is a Data Quality Service platform built on Apache Hadoop and Apache Spark. It provides a framework process for defining data quality model, executing data quality measurement,"> +<meta property="og:updated_time" content="2017-03-20T20:35:53.000Z"> <meta name="twitter:card" content="summary"> -<meta name="twitter:title" content="Hello World"> -<meta name="twitter:description" content="Welcome to Hexo! This is your very first post. Check documentation for more info. If you get any problems when using Hexo, you can find the answer in troubleshooting or you can ask me on GitHub. -Quick"> +<meta name="twitter:title" content="Apache Griffin"> +<meta name="twitter:description" content="AbstractApache Griffin is a Data Quality Service platform built on Apache Hadoop and Apache Spark. It provides a framework process for defining data quality model, executing data quality measurement,"> - <link rel="alternate" href="/atom.xml" title="Hexo" type="application/atom+xml"> + <link rel="alternate" href="/atom.xml" title="Apache Griffin" type="application/atom+xml"> <link rel="icon" href="/favicon.png"> @@ -40,7 +37,7 @@ Quick"> <div id="header-outer" class="outer"> <div id="header-title" class="inner"> <h1 id="logo-wrap"> - <a href="/" id="logo">Hexo</a> + <a href="/" id="logo">Apache Griffin</a> </h1> </div> @@ -55,9 +52,9 @@ Quick"> </nav> <nav id="sub-nav"> - <a id="nav-rss-link" class="nav-icon" href="/atom.xml" title="RSS Feed"></a> + <a id="nav-rss-link" class="nav-icon" href="/atom.xml" title="Flux RSS"></a> - <a id="nav-search-btn" class="nav-icon" title="Search"></a> + <a id="nav-search-btn" class="nav-icon" title="Rechercher"></a> </nav> <div id="search-form-wrap"> <form action="//google.com/search" method="get" accept-charset="UTF-8" class="search-form"><input type="search" name="q" results="0" class="search-form-input" placeholder="Search"><button type="submit" class="search-form-submit"></button><input type="hidden" name="sitesearch" value="http://yoursite.com";></form> @@ -69,7 +66,7 @@ Quick"> <section id="main"><article id="post-hello-world" class="article article-type-post" itemscope itemprop="blogPost"> <div class="article-meta"> <a href="/2017/03/20/hello-world/" class="article-date"> - <time datetime="2017-03-20T18:03:41.000Z" itemprop="datePublished">2017-03-20</time> + <time datetime="2017-03-20T20:09:44.000Z" itemprop="datePublished">2017-03-20</time> </a> </div> @@ -80,7 +77,7 @@ Quick"> <h1 class="article-title" itemprop="name"> - Hello World + Apache Griffin </h1> @@ -88,36 +85,64 @@ Quick"> <div class="article-entry" itemprop="articleBody"> - <p>Welcome to <a href="https://hexo.io/"; target="_blank" rel="external">Hexo</a>! This is your very first post. Check <a href="https://hexo.io/docs/"; target="_blank" rel="external">documentation</a> for more info. If you get any problems when using Hexo, you can find the answer in <a href="https://hexo.io/docs/troubleshooting.html"; target="_blank" rel="external">troubleshooting</a> or you can ask me on <a href="https://github.com/hexojs/hexo/issues"; target="_blank" rel="external">GitHub</a>.</p> -<h2 id="Quick-Start"><a href="#Quick-Start" class="headerlink" title="Quick Start"></a>Quick Start</h2><h3 id="Create-a-new-post"><a href="#Create-a-new-post" class="headerlink" title="Create a new post"></a>Create a new post</h3><figure class="highlight bash"><table><tr><td class="gutter"><pre><div class="line">1</div></pre></td><td class="code"><pre><div class="line">$ hexo new <span class="string">"My New Post"</span></div></pre></td></tr></table></figure> -<p>More info: <a href="https://hexo.io/docs/writing.html"; target="_blank" rel="external">Writing</a></p> -<h3 id="Run-server"><a href="#Run-server" class="headerlink" title="Run server"></a>Run server</h3><figure class="highlight bash"><table><tr><td class="gutter"><pre><div class="line">1</div></pre></td><td class="code"><pre><div class="line">$ hexo server</div></pre></td></tr></table></figure> -<p>More info: <a href="https://hexo.io/docs/server.html"; target="_blank" rel="external">Server</a></p> -<h3 id="Generate-static-files"><a href="#Generate-static-files" class="headerlink" title="Generate static files"></a>Generate static files</h3><figure class="highlight bash"><table><tr><td class="gutter"><pre><div class="line">1</div></pre></td><td class="code"><pre><div class="line">$ hexo generate</div></pre></td></tr></table></figure> -<p>More info: <a href="https://hexo.io/docs/generating.html"; target="_blank" rel="external">Generating</a></p> -<h3 id="Deploy-to-remote-sites"><a href="#Deploy-to-remote-sites" class="headerlink" title="Deploy to remote sites"></a>Deploy to remote sites</h3><figure class="highlight bash"><table><tr><td class="gutter"><pre><div class="line">1</div></pre></td><td class="code"><pre><div class="line">$ hexo deploy</div></pre></td></tr></table></figure> -<p>More info: <a href="https://hexo.io/docs/deployment.html"; target="_blank" rel="external">Deployment</a></p> + <h2 id="Abstract"><a href="#Abstract" class="headerlink" title="Abstract"></a>Abstract</h2><p>Apache Griffin is a Data Quality Service platform built on Apache Hadoop and Apache Spark. It provides a framework process for defining data quality model, executing data quality measurement, automating data profiling and validation, as well as a unified data quality visualization across multiple data systems. It tries to address the data quality challenges in big data and streaming context.</p> +<h2 id="Overview-of-Apache-Griffin"><a href="#Overview-of-Apache-Griffin" class="headerlink" title="Overview of Apache Griffin"></a>Overview of Apache Griffin</h2><p>At eBay, when people use big data (Hadoop or other streaming systems), measurement of data quality is a big challenge. Different teams have built customized tools to detect and analyze data quality issues within their own domains. As a platform organization, we think of taking a platform approach to commonly occurring patterns. As such, we are building a platform to provide shared Infrastructure and generic features to solve common data quality pain points. This would enable us to build trusted data assets.</p> +<p>Currently it is very difficult and costly to do data quality validation when we have large volumes of related data flowing across multi-platforms (streaming and batch). Take eBayâs Real-time Personalization Platform as a sample; Everyday we have to validate the data quality for ~600M records. Data quality often becomes one big challenge in this complex environment and massive scale.</p> +<p>We detect the following at eBay:</p> +<ol> +<li>Lack of an end-to-end, unified view of data quality from multiple data sources to target applications that takes into account the lineage of the data. This results in a long time to identify and fix data quality issues.</li> +<li>Lack of a system to measure data quality in streaming mode through self-service. The need is for a system where datasets can be registered, data quality models can be defined, data quality can be visualized and monitored using a simple tool and teams alerted when an issue is detected.</li> +<li>Lack of a Shared platform and API Service. Every team should not have to apply and manage own hardware and software infrastructure to solve this common problem.</li> +</ol> +<p>With these in mind, we decided to build Apache Griffin - A data quality service that aims to solve the above short-comings.</p> +<p>Apache Griffin includes:</p> +<p><strong>Data Quality Model Engine</strong>: Apache Griffin is model driven solution, user can choose various data quality dimension to execute his/her data quality validation based on selected target data-set or source data-set ( as the golden reference data). It has corresponding library supporting it in back-end for the following measurement:</p> +<ul> +<li>Accuracy - Does data reflect the real-world objects or a verifiable source</li> +<li>Completeness - Is all necessary data present</li> +<li>Validity - Are all data values within the data domains specified by the business</li> +<li>Timeliness - Is the data available at the time needed</li> +<li>Anomaly detection - Pre-built algorithm functions for the identification of items, events or observations which do not conform to an expected pattern or other items in a dataset</li> +<li>Data Profiling - Apply statistical analysis and assessment of data values within a dataset for consistency, uniqueness and logic.</li> +</ul> +<p><strong>Data Collection Layer</strong>:</p> +<p>We support two kinds of data sources, batch data and real time data.</p> +<p>For batch mode, we can collect data source from our Hadoop platform by various data connectors.</p> +<p>For real time mode, we can connect with messaging system like Kafka to near real time analysis.</p> +<p><strong>Data Process and Storage Layer</strong>:</p> +<p>For batch analysis, our data quality model will compute data quality metrics in our spark cluster based on data source in hadoop.</p> +<p>For near real time analysis, we consume data from messaging system, then our data quality model will compute our real time data quality metrics in our spark cluster. for data storage, we use time series database in our back end to fulfill front end request.</p> +<p><strong>Apache Griffin Service</strong>:</p> +<p>We have RESTful web services to accomplish all the functionalities of Apache Griffin, such as register data-set, create data quality model, publish metrics, retrieve metrics, add subscription, etc. So, the developers can develop their own user interface based on these web serivces.</p> +<h2 id="Main-business-process"><a href="#Main-business-process" class="headerlink" title="Main business process"></a>Main business process</h2><p>Hereâs the business process diagram</p> + +<h2 id="Rationale"><a href="#Rationale" class="headerlink" title="Rationale"></a>Rationale</h2><p>The challenge we face at eBay is that our data volume is becoming bigger and bigger, systems process become more complex, while we do not have a unified data quality solution to ensure the trusted data sets which provide confidences on data quality to our data consumers. The key challenges on data quality includes:</p> +<ol> +<li>Existing commercial data quality solution cannot address data quality lineage among systems, cannot scale out to support fast growing data at eBay</li> +<li>Existing eBayâs domain specific tools take a long time to identify and fix poor data quality when data flowed through multiple systems</li> +<li>Business logic becomes complex, requires data quality system much flexible.</li> +<li>Some data quality issues do have business impact on user experiences, revenue, efficiency & compliance.</li> +<li>Communication overhead of data quality metrics, typically in a big organization, which involve different teams.</li> +</ol> +<p>The idea of Apache Apache Griffin is to provide Data Quality validation as a Service, to allow data engineers and data consumers to have:</p> +<ul> +<li>Near real-time understanding of the data quality health of your data pipelines with end-to-end monitoring, all in one place.</li> +<li>Profiling, detecting and correlating issues and providing recommendations that drive rapid and focused troubleshooting</li> +<li>A centralized data quality model management system including rule, metadata, scheduler etc. </li> +<li>Native code generation to run everywhere, including Hadoop, Kafka, Spark, etc.</li> +<li>One set of tools to build data quality pipelines across all eBay data platforms.</li> +</ul> </div> <footer class="article-footer"> - <a data-url="http://yoursite.com/2017/03/20/hello-world/"; 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target="_blank">Hexo</a> + © 2017 William Guo<br> + Propulsé by <a href="http://hexo.io/"; target="_blank">Hexo</a> </div> </div> </footer> http://git-wip-us.apache.org/repos/asf/incubator-griffin-site/blob/4020d98e/images/Business_Process.png ---------------------------------------------------------------------- diff --git a/images/Business_Process.png b/images/Business_Process.png new file mode 100644 index 0000000..ff0f25f Binary files /dev/null and b/images/Business_Process.png differ http://git-wip-us.apache.org/repos/asf/incubator-griffin-site/blob/4020d98e/index.html ---------------------------------------------------------------------- diff --git a/index.html b/index.html index bd22bd2..7e7ebaa 100644 --- a/index.html +++ b/index.html @@ -3,16 +3,16 @@ <head> <meta charset="utf-8"> - <title>Hexo</title> + <title>Apache Griffin</title> <meta name="viewport" content="width=device-width, initial-scale=1, maximum-scale=1"> <meta property="og:type" content="website"> -<meta property="og:title" content="Hexo"> +<meta property="og:title" content="Apache Griffin"> <meta property="og:url" content="http://yoursite.com/index.html";> -<meta property="og:site_name" content="Hexo"> +<meta property="og:site_name" content="Apache Griffin"> <meta name="twitter:card" content="summary"> -<meta name="twitter:title" content="Hexo"> +<meta name="twitter:title" content="Apache Griffin"> - <link rel="alternate" href="/atom.xml" title="Hexo" type="application/atom+xml"> + <link rel="alternate" href="/atom.xml" title="Apache Griffin" type="application/atom+xml"> <link rel="icon" href="/favicon.png"> @@ -33,7 +33,7 @@ <div id="header-outer" class="outer"> <div id="header-title" class="inner"> <h1 id="logo-wrap"> - <a href="/" id="logo">Hexo</a> + <a href="/" id="logo">Apache Griffin</a> </h1> </div> @@ -48,9 +48,9 @@ </nav> <nav id="sub-nav"> - <a id="nav-rss-link" class="nav-icon" href="/atom.xml" title="RSS Feed"></a> + <a id="nav-rss-link" class="nav-icon" href="/atom.xml" title="Flux RSS"></a> - <a id="nav-search-btn" class="nav-icon" title="Search"></a> + <a id="nav-search-btn" class="nav-icon" title="Rechercher"></a> </nav> <div id="search-form-wrap"> <form action="//google.com/search" method="get" accept-charset="UTF-8" class="search-form"><input type="search" name="q" results="0" class="search-form-input" placeholder="Search"><button type="submit" class="search-form-submit"></button><input type="hidden" name="sitesearch" value="http://yoursite.com";></form> @@ -64,7 +64,7 @@ <article id="post-hello-world" class="article article-type-post" itemscope itemprop="blogPost"> <div class="article-meta"> <a href="/2017/03/20/hello-world/" class="article-date"> - <time datetime="2017-03-20T18:03:41.000Z" itemprop="datePublished">2017-03-20</time> + <time datetime="2017-03-20T20:09:44.000Z" itemprop="datePublished">2017-03-20</time> </a> </div> @@ -75,7 +75,7 @@ <h1 itemprop="name"> - <a class="article-title" href="/2017/03/20/hello-world/">Hello World</a> + <a class="article-title" href="/2017/03/20/hello-world/">Apache Griffin</a> </h1> @@ -83,56 +83,58 @@ <div class="article-entry" itemprop="articleBody"> - <p>Welcome to <a href="https://hexo.io/"; target="_blank" rel="external">Hexo</a>! This is your very first post. Check <a href="https://hexo.io/docs/"; target="_blank" rel="external">documentation</a> for more info. If you get any problems when using Hexo, you can find the answer in <a href="https://hexo.io/docs/troubleshooting.html"; target="_blank" rel="external">troubleshooting</a> or you can ask me on <a href="https://github.com/hexojs/hexo/issues"; target="_blank" rel="external">GitHub</a>.</p> -<h2 id="Quick-Start"><a href="#Quick-Start" class="headerlink" title="Quick Start"></a>Quick Start</h2><h3 id="Create-a-new-post"><a href="#Create-a-new-post" class="headerlink" title="Create a new post"></a>Create a new post</h3><figure class="highlight bash"><table><tr><td class="gutter"><pre><div class="line">1</div></pre></td><td class="code"><pre><div class="line">$ hexo new <span class="string">"My New Post"</span></div></pre></td></tr></table></figure> -<p>More info: <a href="https://hexo.io/docs/writing.html"; target="_blank" rel="external">Writing</a></p> -<h3 id="Run-server"><a href="#Run-server" class="headerlink" title="Run server"></a>Run server</h3><figure class="highlight bash"><table><tr><td class="gutter"><pre><div class="line">1</div></pre></td><td class="code"><pre><div class="line">$ hexo server</div></pre></td></tr></table></figure> -<p>More info: <a href="https://hexo.io/docs/server.html"; target="_blank" rel="external">Server</a></p> -<h3 id="Generate-static-files"><a href="#Generate-static-files" class="headerlink" title="Generate static files"></a>Generate static files</h3><figure class="highlight bash"><table><tr><td class="gutter"><pre><div class="line">1</div></pre></td><td class="code"><pre><div class="line">$ hexo generate</div></pre></td></tr></table></figure> -<p>More info: <a href="https://hexo.io/docs/generating.html"; target="_blank" rel="external">Generating</a></p> -<h3 id="Deploy-to-remote-sites"><a href="#Deploy-to-remote-sites" class="headerlink" title="Deploy to remote sites"></a>Deploy to remote sites</h3><figure class="highlight bash"><table><tr><td class="gutter"><pre><div class="line">1</div></pre></td><td class="code"><pre><div class="line">$ hexo deploy</div></pre></td></tr></table></figure> -<p>More info: <a href="https://hexo.io/docs/deployment.html"; target="_blank" rel="external">Deployment</a></p> + <h2 id="Abstract"><a href="#Abstract" class="headerlink" title="Abstract"></a>Abstract</h2><p>Apache Griffin is a Data Quality Service platform built on Apache Hadoop and Apache Spark. It provides a framework process for defining data quality model, executing data quality measurement, automating data profiling and validation, as well as a unified data quality visualization across multiple data systems. It tries to address the data quality challenges in big data and streaming context.</p> +<h2 id="Overview-of-Apache-Griffin"><a href="#Overview-of-Apache-Griffin" class="headerlink" title="Overview of Apache Griffin"></a>Overview of Apache Griffin</h2><p>At eBay, when people use big data (Hadoop or other streaming systems), measurement of data quality is a big challenge. Different teams have built customized tools to detect and analyze data quality issues within their own domains. As a platform organization, we think of taking a platform approach to commonly occurring patterns. As such, we are building a platform to provide shared Infrastructure and generic features to solve common data quality pain points. This would enable us to build trusted data assets.</p> +<p>Currently it is very difficult and costly to do data quality validation when we have large volumes of related data flowing across multi-platforms (streaming and batch). Take eBayâs Real-time Personalization Platform as a sample; Everyday we have to validate the data quality for ~600M records. Data quality often becomes one big challenge in this complex environment and massive scale.</p> +<p>We detect the following at eBay:</p> +<ol> +<li>Lack of an end-to-end, unified view of data quality from multiple data sources to target applications that takes into account the lineage of the data. This results in a long time to identify and fix data quality issues.</li> +<li>Lack of a system to measure data quality in streaming mode through self-service. The need is for a system where datasets can be registered, data quality models can be defined, data quality can be visualized and monitored using a simple tool and teams alerted when an issue is detected.</li> +<li>Lack of a Shared platform and API Service. Every team should not have to apply and manage own hardware and software infrastructure to solve this common problem.</li> +</ol> +<p>With these in mind, we decided to build Apache Griffin - A data quality service that aims to solve the above short-comings.</p> +<p>Apache Griffin includes:</p> +<p><strong>Data Quality Model Engine</strong>: Apache Griffin is model driven solution, user can choose various data quality dimension to execute his/her data quality validation based on selected target data-set or source data-set ( as the golden reference data). It has corresponding library supporting it in back-end for the following measurement:</p> +<ul> +<li>Accuracy - Does data reflect the real-world objects or a verifiable source</li> +<li>Completeness - Is all necessary data present</li> +<li>Validity - Are all data values within the data domains specified by the business</li> +<li>Timeliness - Is the data available at the time needed</li> +<li>Anomaly detection - Pre-built algorithm functions for the identification of items, events or observations which do not conform to an expected pattern or other items in a dataset</li> +<li>Data Profiling - Apply statistical analysis and assessment of data values within a dataset for consistency, uniqueness and logic.</li> +</ul> +<p><strong>Data Collection Layer</strong>:</p> +<p>We support two kinds of data sources, batch data and real time data.</p> +<p>For batch mode, we can collect data source from our Hadoop platform by various data connectors.</p> +<p>For real time mode, we can connect with messaging system like Kafka to near real time analysis.</p> +<p><strong>Data Process and Storage Layer</strong>:</p> +<p>For batch analysis, our data quality model will compute data quality metrics in our spark cluster based on data source in hadoop.</p> +<p>For near real time analysis, we consume data from messaging system, then our data quality model will compute our real time data quality metrics in our spark cluster. for data storage, we use time series database in our back end to fulfill front end request.</p> +<p><strong>Apache Griffin Service</strong>:</p> +<p>We have RESTful web services to accomplish all the functionalities of Apache Griffin, such as register data-set, create data quality model, publish metrics, retrieve metrics, add subscription, etc. So, the developers can develop their own user interface based on these web serivces.</p> +<h2 id="Main-business-process"><a href="#Main-business-process" class="headerlink" title="Main business process"></a>Main business process</h2><p>Hereâs the business process diagram</p> + +<h2 id="Rationale"><a href="#Rationale" class="headerlink" title="Rationale"></a>Rationale</h2><p>The challenge we face at eBay is that our data volume is becoming bigger and bigger, systems process become more complex, while we do not have a unified data quality solution to ensure the trusted data sets which provide confidences on data quality to our data consumers. The key challenges on data quality includes:</p> +<ol> +<li>Existing commercial data quality solution cannot address data quality lineage among systems, cannot scale out to support fast growing data at eBay</li> +<li>Existing eBayâs domain specific tools take a long time to identify and fix poor data quality when data flowed through multiple systems</li> +<li>Business logic becomes complex, requires data quality system much flexible.</li> +<li>Some data quality issues do have business impact on user experiences, revenue, efficiency & compliance.</li> +<li>Communication overhead of data quality metrics, typically in a big organization, which involve different teams.</li> +</ol> +<p>The idea of Apache Apache Griffin is to provide Data Quality validation as a Service, to allow data engineers and data consumers to have:</p> +<ul> +<li>Near real-time understanding of the data quality health of your data pipelines with end-to-end monitoring, all in one place.</li> +<li>Profiling, detecting and correlating issues and providing recommendations that drive rapid and focused troubleshooting</li> +<li>A centralized data quality model management system including rule, metadata, scheduler etc. </li> +<li>Native code generation to run everywhere, including Hadoop, Kafka, Spark, etc.</li> +<li>One set of tools to build data quality pipelines across all eBay data platforms.</li> +</ul> </div> <footer class="article-footer"> - <a data-url="http://yoursite.com/2017/03/20/hello-world/"; data-id="cj0ifcekd00006npoe4xmair5" class="article-share-link">Share</a> - - - </footer> - </div> - -</article> - - - - <article id="post-hello" class="article article-type-post" itemscope itemprop="blogPost"> - <div class="article-meta"> - <a href="/2017/03/20/hello/" class="article-date"> - <time datetime="2017-03-20T17:20:14.000Z" itemprop="datePublished">2017-03-20</time> -</a> - - </div> - <div class="article-inner"> - - - <header class="article-header"> - - - <h1 itemprop="name"> - <a class="article-title" href="/2017/03/20/hello/">hello</a> - </h1> - - - </header> - - <div class="article-entry" itemprop="articleBody"> - - - - </div> - <footer class="article-footer"> - <a data-url="http://yoursite.com/2017/03/20/hello/"; data-id="cj0ifcekh00016npo4n89glhg" class="article-share-link">Share</a> + <a data-url="http://yoursite.com/2017/03/20/hello-world/"; data-id="cj0ikfzhw0000pgpouj7009vf" class="article-share-link">Partager</a> </footer> @@ -167,16 +169,12 @@ <div class="widget-wrap"> - <h3 class="widget-title">Recent Posts</h3> + <h3 class="widget-title">Articles récents</h3> <div class="widget"> <ul> <li> - <a href="/2017/03/20/hello-world/">Hello World</a> - </li> - - <li> - <a href="/2017/03/20/hello/">hello</a> + <a href="/2017/03/20/hello-world/">Apache Griffin</a> </li> </ul> @@ -191,8 +189,8 @@ <div class="outer"> <div id="footer-info" class="inner"> - © 2017 John Doe<br> - Powered by <a href="http://hexo.io/"; target="_blank">Hexo</a> + © 2017 William Guo<br> + Propulsé by <a href="http://hexo.io/"; target="_blank">Hexo</a> </div> </div> </footer>
