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class="docMainContainer_gTbr"><div class="container padding-top--md padding-bottom--lg"><div class="row"><div class="col docItemCol_VOVn"><div class="theme-doc-version-banner alert alert--warning margin-bottom--md" role="alert"><div>This is documentation for <!-- -->Apache Linkis<!-- --> <b>1.2.0</b>, 非最新版本。</div><div class="margin-top--md">有关最新文档，请参阅最新稳定版本<b><a href="/zh-CN/docs/latest/about/introduction">latest version</a></b> (<!-- -->1.5.0<!-- -->).</div></div><div class="docItemContainer_Djhp"><article><nav class="theme-doc-breadcrumbs breadcrumbsContainer_Z_bl" aria-label="页面路径"><ul class="breadcrumbs" itemscope="" itemtype="https://schema.org/BreadcrumbList"><li class="breadcrumbs__item"><a aria-label="主页面" class="breadcrumbs__link" href="/zh-CN/"><svg viewBox="0 0 24 24" class="breadcrumbHomeIcon_OVgt"><path d="M10 19v-5h4v5c0 .55.45 1 1 1h3c.55 0 1-.45 1-1v-7h1.7c.46 0 .68-.57.33-.87L12.67 3.6c-.38-.34-.96-.34-1.34 0l-8.36 7.53c-.34.3-.13.87.33.87H5v7c0 .55.45 1 1 1h3c.55 0 1-.45 1-1z" fill="currentColor"></path></svg></a></li><li itemscope="" itemprop="itemListElement" itemtype="https://schema.org/ListItem" class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link" itemprop="name">Linkis 简述</span><meta itemprop="position" content="1"></li></ul></nav><span class="theme-doc-version-badge badge badge--secondary">版本：1.2.0</span><div class="tocCollapsible_ETCw theme-doc-toc-mobile tocMobile_ITEo"><button type="button" class="clean-btn tocCollapsibleButton_TO0P">On this page</button></div><div class="theme-doc-markdown markdown"><header><h1>Linkis 简述</h1></header><h2 class="anchor anchorWithStickyNavbar_LWe7" id="简述">简述<a class="hash-link" href="#简述" title="Direct link to heading"></a></h2><p>Linkis 在上层应用程序和底层引擎之间构建了一层计算中间件。通过使用Linkis 提供的REST/WebSocket/JDBC 等标准接口，上层应用可以方便地连接访问MySQL/Spark/Hive/Presto/Flink 等底层引擎，同时实现变量、脚本、函数和资源文件等用户资源的跨上层应用互通，以及通过REST标准接口提供了数据源管理和数据源对应的元数据查询服务。 |
| 作为计算中间件，Linkis 提供了强大的连通、复用、编排、扩展和治理管控能力。通过计算中间件将应用层和引擎层解耦，简化了复杂的网络调用关系，降低了整体复杂度，同时节约了整体开发和维护成本。<br> |
| <!-- -->Linkis 自2019年开源发布以来，已累计积累了700多家试验企业和1000+沙盒试验用户，涉及金融、电信、制造、互联网等多个行业。许多公司已经将Linkis 作为大数据平台底层计算存储引擎的统一入口，和计算请求/任务的治理管控利器。</p><p><img loading="lazy" alt="没有Linkis 之前" src="/zh-CN/assets/images/before_linkis_cn-f08934847a2e3f1944488278066b467b.png" width="1920" height="772" class="img_ev3q"></p><p><img loading="lazy" alt="有了Linkis 之后" src="/zh-CN/assets/images/after_linkis_cn-5b7a7e0d0545946ccfbcbba06a4413e6.png" width="4145" height="1608" class="img_ev3q"></p><h2 class="anchor anchorWithStickyNavbar_LWe7" id="核心特点">核心特点<a class="hash-link" href="#核心特点" title="Direct link to heading"></a></h2><ul><li><strong>丰富的底层计算存储引擎支持</strong>：<br><strong>目前支持的计算存储引擎</strong>：Spark、Hive、Flink、Python、Pipeline、Sqoop、openLooKeng、Presto、ElasticSearch、JDBC和Shell等。<br><strong>正在支持中的计算存储引擎</strong>：Trino(计划1.3.1)、SeaTunnel(计划1.3.1)等。<br><strong>支持的脚本语言</strong>：SparkSQL, HiveQL, Python, Shell, Pyspark, R, Scala 和JDBC 等。 </li><li><strong>强大的计算治理能力</strong>： 基于Orchestrator、Label Manager和定制的Spring Cloud Gateway等服务，Linkis能够提供基于多级标签的跨集群/跨IDC 细粒度路由、负载均衡、多租户、流量控制、资源控制和编排策略(如双活、主备等)支持能力。 </li><li><strong>全栈计算存储引擎架构支持</strong>： 能够接收、执行和管理针对各种计算存储引擎的任务和请求，包括离线批量任务、交互式查询任务、实时流式任务和存储型任务。</li><li><strong>资源管理能力</strong>： ResourceManager 不仅具备对 Yarn 和 Linkis EngineManager 的资源管理能力，还将提供基于标签的多级资源分配和回收能力，让 ResourceManager 具备跨集群、跨计算资源类型的强大资源管理能力。</li><li><strong>统一上下文服务</strong>： 为每个计算任务生成context id，跨用户、系统、计算引擎的关联管理用户和系统资源文件（JAR、ZIP、Properties等），结果集，参数变量，函数等，一处设置，处处自动引用。</li><li><strong>统一物料</strong>： 系统和用户级物料管理，可分享和流转，跨用户、系统共享物料。</li><li><strong>统一数据源管理</strong>： 提供了hive、es、mysql、kafka类型数据源的增删查改、版本控制、连接测试等功能。</li><li><strong>数据源对应的元数据查询</strong>：提供了hive、es、mysql、kafka元数据的数据库、表、分区查询。</li></ul><h2 class="anchor anchorWithStickyNavbar_LWe7" id="支持的引擎类型">支持的引擎类型<a class="hash-link" href="#支持的引擎类型" title="Direct link to heading"></a></h2><table><thead><tr><th align="left"><strong>引擎名</strong></th><th align="left"><strong>支持底层组件版本<br>(默认依赖版本)</strong></th><th align="left"><strong>Linkis 1.X 版本要求</strong></th><th align="left"><strong>是否默认包含在发布包中</strong></th><th align="left"><strong>说明</strong></th></tr></thead><tbody><tr><td align="left">Spark</td><td align="left">Apache 2.0.0~2.4.7, <br>CDH >= 5.4.0, <br>（默认Apache Spark 2.4.3）</td><td align="left">><!-- -->=1.0.0_rc1</td><td align="left">是</td><td align="left">Spark EngineConn， 支持SQL, Scala, Pyspark 和R 代码。</td></tr><tr><td align="left">Hive</td><td align="left">Apache >= 1.0.0, <br>CDH >= 5.4.0, <br>（默认Apache Hive 2.3.3）</td><td align="left">><!-- -->=1.0.0_rc1</td><td align="left">是</td><td align="left">Hive EngineConn， 支持HiveQL 代码。</td></tr><tr><td align="left">Python</td><td align="left">Python >= 2.6, <br>（默认Python2*）</td><td align="left">><!-- -->=1.0.0_rc1</td><td align="left">是</td><td align="left">Python EngineConn， 支持python 代码。</td></tr><tr><td align="left">Shell</td><td align="left">Bash >= 2.0</td><td align="left">><!-- -->=1.0.0_rc1</td><td align="left">是</td><td align="left">Shell EngineConn， 支持Bash shell 代码。</td></tr><tr><td align="left">JDBC</td><td align="left">MySQL >= 5.0, Hive >=1.2.1, <br>(默认Hive-jdbc 2.3.4)</td><td align="left">><!-- -->=1.0.0_rc1</td><td align="left">否</td><td align="left">JDBC EngineConn， 已支持MySQL 和HiveQL，可快速扩展支持其他有JDBC Driver 包的引擎, 如Oracle。</td></tr><tr><td align="left">Flink</td><td align="left">Flink >= 1.12.2, <br>(默认Apache Flink 1.12.2)</td><td align="left">><!-- -->=1.0.2</td><td align="left">否</td><td align="left">Flink EngineConn， 支持FlinkSQL 代码，也支持以Flink Jar 形式启动一个新的Yarn 应用程序。</td></tr><tr><td align="left">Pipeline</td><td align="left">-</td><td align="left">><!-- -->=1.0.2</td><td align="left">否</td><td align="left">Pipeline EngineConn， 支持文件的导入和导出。</td></tr><tr><td align="left">openLooKeng</td><td align="left">openLooKeng >= 1.5.0, <br>(默认openLookEng 1.5.0)</td><td align="left">><!-- -->=1.1.1</td><td align="left">否</td><td align="left">openLooKeng EngineConn， 支持用Sql查询数据虚拟化引擎openLooKeng。</td></tr><tr><td align="left">Sqoop</td><td align="left">Sqoop >= 1.4.6, <br>(默认Apache Sqoop 1.4.6)</td><td align="left">><!-- -->=1.1.2</td><td align="left">否</td><td align="left">Sqoop EngineConn， 支持 数据迁移工具 Sqoop 引擎。</td></tr><tr><td align="left">Presto</td><td align="left">Presto >= 0.180</td><td align="left">><!-- -->=1.2.0</td><td align="left">否</td><td align="left">Presto EngineConn， 支持Presto SQL 代码。</td></tr><tr><td align="left">ElasticSearch</td><td align="left">ElasticSearch >=6.0</td><td align="left">><!-- -->=1.2.0</td><td align="left">否</td><td align="left">ElasticSearch EngineConn， 支持SQL 和DSL 代码。</td></tr><tr><td align="left">Impala</td><td align="left">Impala >= 3.2.0, CDH >=6.3.0</td><td align="left">ongoing</td><td align="left">-</td><td align="left">Impala EngineConn，支持Impala SQL 代码。</td></tr><tr><td align="left">MLSQL</td><td align="left">MLSQL >=1.1.0</td><td align="left">ongoing</td><td align="left">-</td><td align="left">MLSQL EngineConn， 支持MLSQL 代码。</td></tr><tr><td align="left">Hadoop</td><td align="left">Apache >=2.6.0, <br>CDH >=5.4.0</td><td align="left">ongoing</td><td align="left">-</td><td align="left">Hadoop EngineConn， 支持Hadoop MR/YARN application。</td></tr><tr><td align="left">TiSpark</td><td align="left">1.1</td><td align="left">ongoing</td><td align="left">-</td><td align="left">TiSpark EngineConn， 支持用SparkSQL 查询TiDB。</td></tr></tbody></table><h2 class="anchor anchorWithStickyNavbar_LWe7" id="下载">下载<a class="hash-link" href="#下载" title="Direct link to heading"></a></h2><p>请前往<a href="https://linkis.apache.org/zh-CN/download/main" target="_blank" rel="noopener noreferrer">Linkis releases 页面</a> 下载Linkis 已编译的部署安装包或源码包。</p><h2 class="anchor anchorWithStickyNavbar_LWe7" id="安装部署">安装部署<a class="hash-link" href="#安装部署" title="Direct link to heading"></a></h2><p>请参考<a href="/zh-CN/docs/1.2.0/deployment/quick-deploy">安装部署文档</a> 来部署Linkis </p><h2 class="anchor anchorWithStickyNavbar_LWe7" id="示例和使用指引">示例和使用指引<a class="hash-link" href="#示例和使用指引" title="Direct link to heading"></a></h2><ul><li><a href="/zh-CN/docs/1.2.0/user-guide/overview">用户手册</a></li><li><a href="/zh-CN/docs/1.2.0/engine-usage/overview">各引擎使用指引</a> </li><li><a href="/zh-CN/docs/1.2.0/api/overview">API 文档</a></li></ul><h2 class="anchor anchorWithStickyNavbar_LWe7" id="文档">文档<a class="hash-link" href="#文档" title="Direct link to heading"></a></h2><p>完整的Linkis文档代码存放在<a href="https://github.com/apache/linkis-website" target="_blank" rel="noopener noreferrer">linkis-website仓库中</a> </p><h2 class="anchor anchorWithStickyNavbar_LWe7" id="架构概要">架构概要<a class="hash-link" href="#架构概要" title="Direct link to heading"></a></h2><p>Linkis 基于微服务架构开发，其服务可以分为3类:计算治理服务、公共增强服务和微服务治理服务。 </p><ul><li>计算治理服务，支持计算任务/请求处理流程的3个主要阶段:提交->准备->执行。</li><li>公共增强服务，包括上下文服务、物料管理服务及数据源服务等。</li><li>微服务治理服务，包括定制化的Spring Cloud Gateway、Eureka、Open Feign。</li></ul><p>下面是Linkis 的架构概要图，更多详细架构文档请见 <a href="/zh-CN/docs/1.2.0/architecture/overview">Linkis/Architecture</a>。 |
| <img loading="lazy" alt="architecture" src="/zh-CN/assets/images/Linkis_1.0_architecture-e91c8fbabb890c6beaf4317cf22f5151.png" width="1920" height="1471" class="img_ev3q"></p><p>基于Linkis 计算中间件，我们在大数据平台套件<a href="https://github.com/WeBankFinTech/WeDataSphere" target="_blank" rel="noopener noreferrer">WeDataSphere</a> 中构建了许多应用和工具系统，下面是目前可用的开源项目。</p><p><img loading="lazy" alt="wedatasphere_stack_Linkis" src="/zh-CN/assets/images/wedatasphere_stack_Linkis-7f1308b2505ad1cdabf5e39ed185a804.png" width="1920" height="769" class="img_ev3q"></p><ul><li><p><a href="https://github.com/WeBankFinTech/DataSphereStudio" target="_blank" rel="noopener noreferrer"><strong>DataSphere Studio</strong> - 数据应用集成开发框架</a></p></li><li><p><a href="https://github.com/WeBankFinTech/Scriptis" target="_blank" rel="noopener noreferrer"><strong>Scriptis</strong> - 数据研发IDE工具</a></p></li><li><p><a href="https://github.com/WeBankFinTech/Visualis" target="_blank" rel="noopener noreferrer"><strong>Visualis</strong> - 数据可视化工具</a></p></li><li><p><a href="https://github.com/WeBankFinTech/Schedulis" target="_blank" rel="noopener noreferrer"><strong>Schedulis</strong> - 工作流调度工具</a></p></li><li><p><a href="https://github.com/WeBankFinTech/Qualitis" target="_blank" rel="noopener noreferrer"><strong>Qualitis</strong> - 数据质量工具</a></p></li><li><p><a href="https://github.com/WeBankFinTech/prophecis" target="_blank" rel="noopener noreferrer"><strong>MLLabis</strong> - 容器化机器学习notebook 开发环境</a></p></li></ul><p>更多项目开源准备中，敬请期待。</p><h2 class="anchor anchorWithStickyNavbar_LWe7" id="贡献">贡献<a class="hash-link" href="#贡献" title="Direct link to heading"></a></h2><p>我们非常欢迎和期待更多的贡献者参与共建Linkis, 不论是代码、文档或是其他能够帮助到社区的贡献形式。 </p><p>代码和文档相关的贡献请参照<a href="/zh-CN/community/how-to-contribute">贡献指引</a>。</p><h2 class="anchor anchorWithStickyNavbar_LWe7" id="联系我们">联系我们<a class="hash-link" href="#联系我们" title="Direct link to heading"></a></h2><p>对Linkis 的任何问题和建议，敬请提交issue，以便跟踪处理和经验沉淀共享 |
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| <img loading="lazy" alt="introduction05" src="/zh-CN/assets/images/wedatasphere_contact_01-b7ba004b71d7e1b84b37d9b057b2ee55.png" width="382" height="388" class="img_ev3q"></p><p>Meetup 视频 <a href="https://space.bilibili.com/598542776?from=search&seid=14344213924133040656" target="_blank" rel="noopener noreferrer">Bilibili</a>。</p><h2 class="anchor anchorWithStickyNavbar_LWe7" id="谁在使用linkis">谁在使用Linkis<a class="hash-link" href="#谁在使用linkis" title="Direct link to heading"></a></h2><p>我们创建了<a href="https://github.com/apache/linkis/issues/23" target="_blank" rel="noopener noreferrer">一个 issue</a> 以便用户反馈和记录谁在使用Linkis。<br> |
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