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| <link rel="search" type="application/opensearchdescription+xml" title="Apache Linkis" href="/opensearch.xml"><title data-react-helmet="true">Label Manager | Apache Linkis</title><meta data-react-helmet="true" name="twitter:card" content="summary_large_image"><meta data-react-helmet="true" property="og:url" content="https://linkis.incubator.apache.org/docs/1.1.0/architecture/computation_governance_services/linkis_manager/label_manager"><meta data-react-helmet="true" name="docsearch:language" content="en"><meta data-react-helmet="true" name="docsearch:version" content="1.1.0"><meta data-react-helmet="true" name="docsearch:docusaurus_tag" content="docs-default-1.1.0"><meta data-react-helmet="true" property="og:title" content="Label Manager | Apache Linkis"><meta data-react-helmet="true" name="description" content="LabelManager architecture design"><meta data-react-helmet="true" property="og:description" content="LabelManager architecture design"><link data-react-helmet="true" rel="shortcut icon" href="/img/favicon.ico"><link data-react-helmet="true" rel="canonical" href="https://linkis.incubator.apache.org/docs/1.1.0/architecture/computation_governance_services/linkis_manager/label_manager"><link data-react-helmet="true" rel="alternate" href="https://linkis.incubator.apache.org/docs/1.1.0/architecture/computation_governance_services/linkis_manager/label_manager" hreflang="en"><link data-react-helmet="true" rel="alternate" href="https://linkis.incubator.apache.org/zh-CN/docs/1.1.0/architecture/computation_governance_services/linkis_manager/label_manager" hreflang="zh-CN"><link data-react-helmet="true" rel="alternate" href="https://linkis.incubator.apache.org/docs/1.1.0/architecture/computation_governance_services/linkis_manager/label_manager" hreflang="x-default"><link data-react-helmet="true" rel="preconnect" href="https://AE29KQB3IA-dsn.algolia.net" crossorigin="anonymous"><link rel="stylesheet" href="/assets/css/styles.92d87943.css"> |
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menu__link--sublist" href="#">Tuning And Troubleshooting</a></li></ul></nav></div></aside><main class="docMainContainer_r8cw"><div class="container padding-top--md padding-bottom--lg"><div class="row"><div class="col docItemCol_zHA2"><div class="theme-doc-version-banner alert alert--warning margin-bottom--md" role="alert"><div>This is documentation for <!-- -->Apache Linkis<!-- --> <b>1.1.0</b>, which is no longer actively maintained.</div><div class="margin-top--md">For up-to-date documentation, see the <b><a href="/docs/latest/architecture/computation_governance_services/linkis_manager/label_manager">latest version</a></b> (<!-- -->1.1.2<!-- -->).</div></div><div class="docItemContainer_oiyr"><article><span class="theme-doc-version-badge badge badge--secondary">Version: <!-- -->1.1.0</span><div class="tocCollapsible_aw-L theme-doc-toc-mobile tocMobile_Tx6Y"><button type="button" class="clean-btn tocCollapsibleButton_zr6a">On this page</button></div><div class="theme-doc-markdown markdown"><header><h1>Label Manager</h1></header><h2><a aria-hidden="true" tabindex="-1" class="anchor anchor__h2 anchorWithStickyNavbar_y2LR" id="labelmanager-architecture-design"></a>LabelManager architecture design<a class="hash-link" href="#labelmanager-architecture-design" title="Direct link to heading">#</a></h2><h4><a aria-hidden="true" tabindex="-1" class="anchor anchor__h4 anchorWithStickyNavbar_y2LR" id="brief-description"></a>Brief description<a class="hash-link" href="#brief-description" title="Direct link to heading">#</a></h4><p>LabelManager is a functional module in Linkis that provides label services to upper-level applications. It uses label technology to manage cluster resource allocation, service node election, user permission matching, and gateway routing and forwarding; it includes generalized analysis and processing tools that support various custom Label labels, And a universal tag matching scorer.</p><h3><a aria-hidden="true" tabindex="-1" class="anchor anchor__h3 anchorWithStickyNavbar_y2LR" id="overall-architecture-schematic"></a>Overall architecture schematic<a class="hash-link" href="#overall-architecture-schematic" title="Direct link to heading">#</a></h3><p><img alt="label_manager_global" src="/assets/images/label_manager_global-eb08b6d4ae0c8f67384a47d26b9261eb.png"> </p><h4><a aria-hidden="true" tabindex="-1" class="anchor anchor__h4 anchorWithStickyNavbar_y2LR" id="architecture-description"></a>Architecture description<a class="hash-link" href="#architecture-description" title="Direct link to heading">#</a></h4><ul><li>LabelBuilder: Responsible for the work of label analysis. It can parse the input label type, keyword or character value to obtain a specific label entity. There is a default generalization implementation class or custom extensions.</li><li>LabelEntities: Refers to a collection of label entities, including cluster labels, configuration labels, engine labels, node labels, routing labels, search labels, etc.</li><li>NodeLabelService: The associated service interface class of instance/node and label, which defines the interface method of adding, deleting, modifying and checking the relationship between the two and matching the instance/node according to the label.</li><li>UserLabelService: Declare the associated operation between the user and the label.</li><li>ResourceLabelService: Declare the associated operations of cluster resources and labels, involving resource management of combined labels, cleaning or setting the resource value associated with the label.</li><li>NodeLabelScorer: Node label scorer, corresponding to the implementation of different label matching algorithms, using scores to indicate node label matching.</li></ul><h3><a aria-hidden="true" tabindex="-1" class="anchor anchor__h3 anchorWithStickyNavbar_y2LR" id="1-labelbuilder-parsing-process"></a>1. LabelBuilder parsing process<a class="hash-link" href="#1-labelbuilder-parsing-process" title="Direct link to heading">#</a></h3><p>Take the generic label analysis class GenericLabelBuilder as an example to clarify the overall process: |
| The process of label parsing/construction includes several steps:</p><ol><li>According to the input, select the appropriate label class to be parsed.</li><li>According to the definition information of the tag class, recursively analyze the generic structure to obtain the specific tag value type.</li><li>Convert the input value object to the tag value type, using implicit conversion or positive and negative analysis framework.</li><li>According to the return of 1-3, instantiate the label, and perform some post operations according to different label classes.</li></ol><h3><a aria-hidden="true" tabindex="-1" class="anchor anchor__h3 anchorWithStickyNavbar_y2LR" id="2-nodelabelscorer-scoring-process"></a>2. NodeLabelScorer scoring process<a class="hash-link" href="#2-nodelabelscorer-scoring-process" title="Direct link to heading">#</a></h3><p>In order to select a suitable engine node based on the tag list attached to the Linkis user execution request, it is necessary to make a selection of the matching engine list, which is quantified as the tag matching degree of the engine node, that is, the score. |
| In the label definition, each label has a feature value, namely CORE, SUITABLE, PRIORITIZED, OPTIONAL, and each feature value has a boost value, which is equivalent to a weight and an incentive value. |
| At the same time, some features such as CORE and SUITABLE must be unique features, that is, strong filtering is required during the matching process, and a node can only be associated with one CORE/SUITABLE label. |
| According to the relationship between existing tags, nodes, and request attached tags, the following schematic diagram can be drawn: |
| <img alt="label_manager_scorer" src="/assets/images/label_manager_scorer-5c4028cc59bcf35cd3cb24e0d8518e1d.png"> </p><p>The built-in default scoring logic process should generally include the following steps:</p><ol><li>The input of the method should be two sets of network relationship lists, namely <code>Label -> Node</code> and <code>Node -> Label</code>, where the Node node in the <code>Node -> Label</code> relationship must have all the CORE and SUITABLE feature labels, these nodes are also called candidate nodes.</li><li>The first step is to traverse and calculate the relationship list of <code>Node -> Label</code>, and traverse the label Label associated with each node. In this step, the label is scored first. If the label is not the label attached to the request, the score is 0. |
| Otherwise, the score is divided into: (basic score/the number of times the tag corresponds to the feature value in the request) * the incentive value of the corresponding feature value, where the basic score defaults to 1, and the initial score of the node is the sum of the associated tag scores; where because The CORE/SUITABLE type label must be the only label, and the number of occurrences is always 1.</li><li>After obtaining the initial score of the node, the second step is to traverse the calculation of the <code>Label -> Node</code> relationship. Since the first step ignores the effect of unrequested attached labels on the score, the proportion of irrelevant labels will indeed affect the score. This type of label is unified with the UNKNOWN feature, and this feature also has a corresponding incentive value; |
| We set that the higher the proportion of candidate nodes associated with irrelevant labels in the total associated nodes, the more significant the impact on the score, which can further accumulate the initial score of the node obtained in the first step.</li><li>Normalize the standard deviation of the scores of the candidate nodes and sort them.</li></ol></div><footer class="theme-doc-footer docusaurus-mt-lg"><div class="theme-doc-footer-edit-meta-row row"><div class="col"><a href="https://github.com/apache/incubator-linkis-website/edit/dev/versioned_docs/version-1.1.0/architecture/computation_governance_services/linkis_manager/label_manager.md" target="_blank" rel="noreferrer noopener" class="theme-edit-this-page"><svg fill="currentColor" height="20" width="20" viewBox="0 0 40 40" class="iconEdit_mS5F" aria-hidden="true"><g><path d="m34.5 11.7l-3 3.1-6.3-6.3 3.1-3q0.5-0.5 1.2-0.5t1.1 0.5l3.9 3.9q0.5 0.4 0.5 1.1t-0.5 1.2z m-29.5 17.1l18.4-18.5 6.3 6.3-18.4 18.4h-6.3v-6.2z"></path></g></svg>Edit this page</a></div><div class="col lastUpdated_mt2f"></div></div></footer></article><nav class="pagination-nav docusaurus-mt-lg" aria-label="Docs pages navigation"><div class="pagination-nav__item"><a class="pagination-nav__link" href="/docs/1.1.0/architecture/computation_governance_services/linkis_manager/app_manager"><div class="pagination-nav__sublabel">Previous</div><div class="pagination-nav__label">« <!-- -->App Manager</div></a></div><div class="pagination-nav__item pagination-nav__item--next"><a class="pagination-nav__link" href="/docs/1.1.0/architecture/computation_governance_services/linkis_manager/resource_manager"><div class="pagination-nav__sublabel">Next</div><div class="pagination-nav__label">Resource Manager<!-- --> »</div></a></div></nav></div></div><div class="col col--3"><div class="tableOfContents_vrFS thin-scrollbar"><ul class="table-of-contents table-of-contents__left-border"><li><a href="#labelmanager-architecture-design" class="table-of-contents__link">LabelManager architecture design</a><ul><li><a href="#overall-architecture-schematic" class="table-of-contents__link">Overall architecture schematic</a></li><li><a href="#1-labelbuilder-parsing-process" class="table-of-contents__link">1. 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