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class="menu__link" href="/docs/1.9.0/contact">Contact Us</a></li></ul></nav></div></div></aside><main 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 InLong<!-- --> <b>1.9.0</b>, which is no longer actively maintained.</div><div class="margin-top--md">For up-to-date documentation, see the <b><a href="/docs/introduction">latest version</a></b> (<!-- -->1.11.0<!-- -->).</div></div><div class="docItemContainer_Djhp"><article><nav class="theme-doc-breadcrumbs breadcrumbsContainer_Z_bl" aria-label="Breadcrumbs"><ul class="breadcrumbs" itemscope="" itemtype="https://schema.org/BreadcrumbList"><li class="breadcrumbs__item"><a aria-label="Home page" class="breadcrumbs__link" href="/"><svg viewBox="0 0 24 24" class="breadcrumbHomeIcon_YNFT"><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">Introduction</span><meta itemprop="position" content="1"></li></ul></nav><span class="theme-doc-version-badge badge badge--secondary">Version: 1.9.0</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>Introduction</h1></header><blockquote><p>InLong (应龙) is a divine beast in Chinese mythology who guides the river into the sea, |
| and it is regarded as a metaphor of the InLong system for reporting data streams.</p></blockquote><h2 class="anchor anchorWithStickyNavbar_LWe7" id="about-inlong">About InLong<a href="#about-inlong" class="hash-link" aria-label="Direct link to About InLong" title="Direct link to About InLong"></a></h2><p><a href="https://inlong.apache.org" target="_blank" rel="noopener noreferrer">Apache InLong</a> is a one-stop, full-scenario integration framework for massive data that supports <code>Data Ingestion</code>, <code>Data Synchronization</code> and <code>Data Subscription</code>, and it provides automatic, safe, reliable, and high-performance data transmission capabilities to |
| facilitate the construction of streaming-based data analysis, modeling, and applications. The Apache InLong project was originally called TubeMQ, focusing on high-performance, |
| low-cost message queuing services. To further release the surrounding ecological capabilities of TubeMQ, the community upgraded the project to InLong, focusing on creating a one-stop, full-scenario integration framework for massive data. |
| Apache InLong relies on 10 trillion-level data ingestion and processing capabilities to integrate the entire process of data collection, aggregation, storage, and sorting data processing. It is simple, flexible, stable, and reliable. |
| The project was initially donated to the Apache incubator by the Tencent Big Data team in November 2019 and officially graduated as an Apache top-level project in June 2022. Currently, InLong is widely used in various industries such as advertising, |
| payment, social networking, games, artificial intelligence, etc., to provide efficient and convenient customer services in multiple fields.</p><h2 class="anchor anchorWithStickyNavbar_LWe7" id="features">Features<a href="#features" class="hash-link" aria-label="Direct link to Features" title="Direct link to Features"></a></h2><ul><li><p>Ease of Use</p><p>InLong is a SaaS-based service platform. Users can easily and quickly report, transfer, and distribute data by publishing and subscribing to data based on topics.</p></li><li><p>Stability & Reliability</p><p>InLong is derived from the actual online production environment. It delivers high-performance processing capabilities for 100 trillion-level data streams and highly reliable services for 100 billion-level data streams.</p></li><li><p>Comprehensive Features</p><p>InLong supports various types of data access methods and can be integrated with different types of Message Queue (MQ). It also provides real-time data extract, transform, and load (ETL) and sorting capabilities based on rules. InLong also allows users to plug features to extend system capabilities.</p></li><li><p>Service Integration</p><p>InLong provides unified system monitoring and alert services. It provides fine-grained metrics to facilitate data visualization. Users can view the running status of queues and topic-based data statistics in a unified data metric platform. Users can also configure the alert service based on their business requirements so that users can be alerted when errors occur.</p></li><li><p>Scalability</p><p>InLong adopts a pluggable architecture that allows you to plug modules into the system based on specific protocols. Users can replace components and add features based on their business requirements.</p></li></ul><h2 class="anchor anchorWithStickyNavbar_LWe7" id="architecture">Architecture<a href="#architecture" class="hash-link" aria-label="Direct link to Architecture" title="Direct link to Architecture"></a></h2><div class="tabs-container tabList__CuJ"><ul role="tablist" aria-orientation="horizontal" class="tabs"><li role="tab" tabindex="0" aria-selected="true" class="tabs__item tabItem_LNqP tabs__item--active">Standard</li><li role="tab" tabindex="-1" aria-selected="false" class="tabs__item tabItem_LNqP">Lightweight</li></ul><div class="margin-top--md"><div role="tabpanel" class="tabItem_Ymn6"> Standard Architecture: contains all InLong components such as InLong Agent, Manager, MQ, Sort, Dashboard, which supports `Data Ingestion`, `Data Synchronization` and `Data Subscription` at the same time.<img loading="lazy" src="/img/inlong-structure-en.png" align="center" alt="Apache InLong" class="img_ev3q"></div><div role="tabpanel" class="tabItem_Ymn6" hidden=""> Lightweight Architecture: contains only one component of InLong Sort, which also can be used with Manager, Dashboard, and it is simple and flexible, only support `Data Synchronization`.<img loading="lazy" src="/img/inlong-structure-light.png" align="center" style="object-fit:cover;height:460px;width:860px" alt="Apache InLong" class="img_ev3q"></div></div></div><h2 class="anchor anchorWithStickyNavbar_LWe7" id="modules">Modules<a href="#modules" class="hash-link" aria-label="Direct link to Modules" title="Direct link to Modules"></a></h2><p>Apache InLong serves the entire life cycle from data collection to landing, and provides different processing modules according to different stages of data, including the next modules:</p><ul><li><strong>inlong-agent</strong>, data collection services, including file collection, DB collection, etc.</li><li><strong>inlong-dataproxy</strong>, a Proxy component based on Flume-ng, supports data transmission blocking, placing retransmission, and has the ability to forward received data to different MQ (message queues).</li><li><strong>inlong-tubemq</strong>, Tencent's self-developed message queuing service, focuses on high-performance storage and transmission of massive data in big data scenarios and has a relatively good core advantage in mass practice and low cost.</li><li><strong>inlong-sort</strong>, after consuming data from different MQ services, perform ETL processing, and then aggregate and write the data into Apache Hive, ClickHouse, Hbase, IceBerg, Hudi, etc.</li><li><strong>inlong-manager</strong>, provides complete data service management and control capabilities, including metadata, OpenAPI, task flow, authority, etc.</li><li><strong>inlong-dashboard</strong>, a front-end page for managing data access, simplifying the use of the entire InLong control platform.</li><li><strong>inlong-audit</strong>, performs real-time audit and reconciliation on the incoming and outgoing traffic of the Agent, DataProxy, and Sort modules of the InLong system.</li></ul><h2 class="anchor anchorWithStickyNavbar_LWe7" id="supported-data-nodes-updating">Supported Data Nodes (Updating)<a href="#supported-data-nodes-updating" class="hash-link" aria-label="Direct link to Supported Data Nodes (Updating)" title="Direct link to Supported Data Nodes (Updating)"></a></h2><table><thead><tr><th>Type</th><th>Name</th><th>Version</th></tr></thead><tbody><tr><td>Extract Node</td><td>Auto Push</td><td>None</td></tr><tr><td></td><td>File</td><td>None</td></tr><tr><td></td><td>Kafka</td><td>2.x</td></tr><tr><td></td><td>MySQL</td><td>5.6, 5.7, 8.0.x</td></tr><tr><td></td><td>MongoDB</td><td>>= 3.6</td></tr><tr><td></td><td>MQTT</td><td>>= 3.1</td></tr><tr><td></td><td>Oracle</td><td>11,12,19</td></tr><tr><td></td><td>PostgreSQL</td><td>9.6, 10, 11, 12</td></tr><tr><td></td><td>Pulsar</td><td>2.8.x</td></tr><tr><td></td><td>Redis</td><td>2.6.x</td></tr><tr><td></td><td>SQLServer</td><td>2012, 2014, 2016, 2017, 2019</td></tr><tr><td>Load Node</td><td>Auto Consumption</td><td>None</td></tr><tr><td></td><td>Hive</td><td>1.x, 2.x, 3.x</td></tr><tr><td></td><td>Iceberg</td><td>0.12.x</td></tr><tr><td></td><td>ClickHouse</td><td>20.7+</td></tr><tr><td></td><td>Kafka</td><td>2.x</td></tr><tr><td></td><td>HBase</td><td>2.2.x</td></tr><tr><td></td><td>PostgreSQL</td><td>9.6, 10, 11, 12</td></tr><tr><td></td><td>Oracle</td><td>11, 12, 19</td></tr><tr><td></td><td>MySQL</td><td>5.6, 5.7, 8.0.x</td></tr><tr><td></td><td>TDSQL-PostgreSQL</td><td>10.17</td></tr><tr><td></td><td>Greenplum</td><td>4.x, 5.x, 6.x</td></tr><tr><td></td><td>Elasticsearch</td><td>6.x, 7.x</td></tr><tr><td></td><td>SQLServer</td><td>2012, 2014, 2016, 2017, 2019</td></tr><tr><td></td><td>Doris</td><td>>= 0.13</td></tr><tr><td></td><td>StarRocks</td><td>>= 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