| <!doctype html><html lang=cn class=no-js><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1,shrink-to-fit=no"><meta name=generator content="Hugo 0.102.3"><meta name=robots content="index, follow"><link rel="shortcut icon" href=/favicons/favicon.ico><link rel=apple-touch-icon href=/favicons/apple-touch-icon-180x180.png sizes=180x180><link rel=icon type=image/png href=/favicons/favicon-16x16.png sizes=16x16><link rel=icon type=image/png href=/favicons/favicon-32x32.png sizes=32x32><link rel=icon type=image/png href=/favicons/android-36x36.png sizes=36x36><link rel=icon type=image/png href=/favicons/android-48x48.png sizes=48x48><link rel=icon type=image/png href=/favicons/android-72x72.png sizes=72x72><link rel=icon type=image/png href=/favicons/android-96x96.png sizes=96x96><link rel=icon type=image/png href=/favicons/android-144x144.png sizes=144x144><link rel=icon type=image/png href=/favicons/android-192x192.png sizes=192x192><title>HugeGraph-Computer 配置 | HugeGraph</title><meta name=description content="Computer Config Options |
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| The …"><meta property="og:title" content="HugeGraph-Computer 配置"><meta property="og:description" content="Computer Config Options config option default value description algorithm.message_class org.apache.hugegraph.computer.core.config.Null The class of message passed when compute vertex. algorithm.params_class org.apache.hugegraph.computer.core.config.Null The class used to transfer algorithms’ parameters before algorithm been run. algorithm.result_class org.apache.hugegraph.computer.core.config.Null The class of vertex’s value, the instance is used to store computation result for the vertex. allocator.max_vertices_per_thread 10000 Maximum number of vertices per thread processed in each memory allocator bsp.etcd_endpoints http://localhost:2379 The end points to access etcd. bsp."><meta property="og:type" content="article"><meta property="og:url" content="/cn/docs/config/config-computer/"><meta property="article:section" content="docs"><meta property="article:modified_time" content="2024-02-01T18:09:33+08:00"><meta property="og:site_name" content="HugeGraph"><meta itemprop=name content="HugeGraph-Computer 配置"><meta itemprop=description content="Computer Config Options config option default value description algorithm.message_class org.apache.hugegraph.computer.core.config.Null The class of message passed when compute vertex. algorithm.params_class org.apache.hugegraph.computer.core.config.Null The class used to transfer algorithms’ parameters before algorithm been run. algorithm.result_class org.apache.hugegraph.computer.core.config.Null The class of vertex’s value, the instance is used to store computation result for the vertex. allocator.max_vertices_per_thread 10000 Maximum number of vertices per thread processed in each memory allocator bsp.etcd_endpoints http://localhost:2379 The end points to access etcd. bsp."><meta itemprop=dateModified content="2024-02-01T18:09:33+08:00"><meta itemprop=wordCount content="1941"><meta itemprop=keywords content><meta name=twitter:card content="summary"><meta name=twitter:title content="HugeGraph-Computer 配置"><meta name=twitter:description content="Computer Config Options config option default value description algorithm.message_class org.apache.hugegraph.computer.core.config.Null The class of message passed when compute vertex. algorithm.params_class org.apache.hugegraph.computer.core.config.Null The class used to transfer algorithms’ parameters before algorithm been run. algorithm.result_class org.apache.hugegraph.computer.core.config.Null The class of vertex’s value, the instance is used to store computation result for the vertex. allocator.max_vertices_per_thread 10000 Maximum number of vertices per thread processed in each memory allocator bsp.etcd_endpoints http://localhost:2379 The end points to access etcd. bsp."><link rel=preload href=/scss/main.min.14ea575cb35d93d46ff8681b2334f40fd46243c100c5c39f5a841b931fae2d40.css as=style><link href=/scss/main.min.14ea575cb35d93d46ff8681b2334f40fd46243c100c5c39f5a841b931fae2d40.css rel=stylesheet integrity><script src=https://code.jquery.com/jquery-3.5.1.min.js integrity="sha256-9/aliU8dGd2tb6OSsuzixeV4y/faTqgFtohetphbbj0=" crossorigin=anonymous></script> |
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HugeGraph-AI</span></a></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-cndocsquickstarthugegraph-client-li><a href=/cn/docs/quickstart/hugegraph-client/ title="HugeGraph-Client Quick Start" class="align-left pl-0 td-sidebar-link td-sidebar-link__page" id=m-cndocsquickstarthugegraph-client><span>使用 HugeGraph-Client 开发</span></a></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-cndocsquickstarthugegraph-tools-li><a href=/cn/docs/quickstart/hugegraph-tools/ title="HugeGraph-Tools Quick Start" class="align-left pl-0 td-sidebar-link td-sidebar-link__page" id=m-cndocsquickstarthugegraph-tools><span>使用 HugeGraph-Tools 导出/管理图</span></a></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-cndocsquickstarthugegraph-computer-li><a href=/cn/docs/quickstart/hugegraph-computer/ title="HugeGraph-Computer Quick Start" class="align-left pl-0 td-sidebar-link td-sidebar-link__page" id=m-cndocsquickstarthugegraph-computer><span>使用 Computer 进行 OLAP 分析</span></a></li></ul></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section with-child active-path" id=m-cndocsconfig-li><a href=/cn/docs/config/ class="align-left pl-0 td-sidebar-link td-sidebar-link__section" id=m-cndocsconfig><span>Config</span></a><ul class="ul-2 foldable"><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-cndocsconfigconfig-guide-li><a href=/cn/docs/config/config-guide/ title="HugeGraph 配置" class="align-left pl-0 td-sidebar-link td-sidebar-link__page" id=m-cndocsconfigconfig-guide><span>参数配置</span></a></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-cndocsconfigconfig-option-li><a href=/cn/docs/config/config-option/ title="HugeGraph 配置项" class="align-left pl-0 td-sidebar-link td-sidebar-link__page" id=m-cndocsconfigconfig-option><span>配置项列表</span></a></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-cndocsconfigconfig-authentication-li><a href=/cn/docs/config/config-authentication/ title="HugeGraph 内置用户权限与扩展权限配置及使用" class="align-left pl-0 td-sidebar-link td-sidebar-link__page" id=m-cndocsconfigconfig-authentication><span>权限配置</span></a></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-cndocsconfigconfig-https-li><a href=/cn/docs/config/config-https/ title="配置 HugeGraphServer 使用 https 协议" class="align-left pl-0 td-sidebar-link td-sidebar-link__page" id=m-cndocsconfigconfig-https><span>配置 HTTPS</span></a></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-cndocsconfigconfig-computer-li><a href=/cn/docs/config/config-computer/ title="HugeGraph-Computer 配置" class="align-left pl-0 active td-sidebar-link td-sidebar-link__page" id=m-cndocsconfigconfig-computer><span class=td-sidebar-nav-active-item>图计算 Computer 配置</span></a></li></ul></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section with-child" id=m-cndocsclients-li><a href=/cn/docs/clients/ class="align-left pl-0 td-sidebar-link td-sidebar-link__section" id=m-cndocsclients><span>API</span></a><ul class="ul-2 foldable"><li class="td-sidebar-nav__section-title td-sidebar-nav__section with-child" id=m-cndocsclientsrestful-api-li><a href=/cn/docs/clients/restful-api/ title="HugeGraph RESTful API" class="align-left pl-0 td-sidebar-link td-sidebar-link__section" id=m-cndocsclientsrestful-api><span>RESTful API</span></a><ul class="ul-3 foldable"><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-cndocsclientsrestful-apischema-li><a href=/cn/docs/clients/restful-api/schema/ title="Schema API" class="align-left pl-0 td-sidebar-link td-sidebar-link__page" id=m-cndocsclientsrestful-apischema><span>Schema</span></a></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-cndocsclientsrestful-apipropertykey-li><a href=/cn/docs/clients/restful-api/propertykey/ title="PropertyKey API" class="align-left pl-0 td-sidebar-link td-sidebar-link__page" id=m-cndocsclientsrestful-apipropertykey><span>PropertyKey</span></a></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-cndocsclientsrestful-apivertexlabel-li><a href=/cn/docs/clients/restful-api/vertexlabel/ title="VertexLabel API" class="align-left pl-0 td-sidebar-link td-sidebar-link__page" id=m-cndocsclientsrestful-apivertexlabel><span>VertexLabel</span></a></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-cndocsclientsrestful-apiedgelabel-li><a href=/cn/docs/clients/restful-api/edgelabel/ title="EdgeLabel API" class="align-left pl-0 td-sidebar-link td-sidebar-link__page" id=m-cndocsclientsrestful-apiedgelabel><span>EdgeLabel</span></a></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-cndocsclientsrestful-apiindexlabel-li><a href=/cn/docs/clients/restful-api/indexlabel/ title="IndexLabel API" class="align-left pl-0 td-sidebar-link td-sidebar-link__page" id=m-cndocsclientsrestful-apiindexlabel><span>IndexLabel</span></a></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-cndocsclientsrestful-apirebuild-li><a href=/cn/docs/clients/restful-api/rebuild/ title="Rebuild API" class="align-left pl-0 td-sidebar-link td-sidebar-link__page" id=m-cndocsclientsrestful-apirebuild><span>Rebuild</span></a></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-cndocsclientsrestful-apivertex-li><a href=/cn/docs/clients/restful-api/vertex/ title="Vertex API" class="align-left pl-0 td-sidebar-link td-sidebar-link__page" id=m-cndocsclientsrestful-apivertex><span>Vertex</span></a></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-cndocsclientsrestful-apiedge-li><a href=/cn/docs/clients/restful-api/edge/ title="Edge API" class="align-left pl-0 td-sidebar-link td-sidebar-link__page" id=m-cndocsclientsrestful-apiedge><span>Edge</span></a></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-cndocsclientsrestful-apitraverser-li><a href=/cn/docs/clients/restful-api/traverser/ title="Traverser API" class="align-left pl-0 td-sidebar-link td-sidebar-link__page" id=m-cndocsclientsrestful-apitraverser><span>Traverser</span></a></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-cndocsclientsrestful-apirank-li><a href=/cn/docs/clients/restful-api/rank/ title="Rank API" class="align-left pl-0 td-sidebar-link td-sidebar-link__page" id=m-cndocsclientsrestful-apirank><span>Rank</span></a></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-cndocsclientsrestful-apivariable-li><a href=/cn/docs/clients/restful-api/variable/ title="Variable API" class="align-left pl-0 td-sidebar-link td-sidebar-link__page" id=m-cndocsclientsrestful-apivariable><span>Variable</span></a></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-cndocsclientsrestful-apigraphs-li><a href=/cn/docs/clients/restful-api/graphs/ title="Graphs API" class="align-left pl-0 td-sidebar-link td-sidebar-link__page" id=m-cndocsclientsrestful-apigraphs><span>Graphs</span></a></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-cndocsclientsrestful-apitask-li><a href=/cn/docs/clients/restful-api/task/ title="Task API" class="align-left pl-0 td-sidebar-link td-sidebar-link__page" id=m-cndocsclientsrestful-apitask><span>Task</span></a></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-cndocsclientsrestful-apigremlin-li><a href=/cn/docs/clients/restful-api/gremlin/ title="Gremlin API" class="align-left pl-0 td-sidebar-link td-sidebar-link__page" id=m-cndocsclientsrestful-apigremlin><span>Gremlin</span></a></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-cndocsclientsrestful-apicypher-li><a href=/cn/docs/clients/restful-api/cypher/ title="Cypher API" class="align-left pl-0 td-sidebar-link td-sidebar-link__page" id=m-cndocsclientsrestful-apicypher><span>Cypher</span></a></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-cndocsclientsrestful-apiauth-li><a href=/cn/docs/clients/restful-api/auth/ title="Authentication API" class="align-left pl-0 td-sidebar-link td-sidebar-link__page" id=m-cndocsclientsrestful-apiauth><span>Authentication</span></a></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-cndocsclientsrestful-apimetrics-li><a href=/cn/docs/clients/restful-api/metrics/ title="Metrics API" class="align-left pl-0 td-sidebar-link td-sidebar-link__page" id=m-cndocsclientsrestful-apimetrics><span>Metrics</span></a></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-cndocsclientsrestful-apiother-li><a href=/cn/docs/clients/restful-api/other/ title="Other API" class="align-left pl-0 td-sidebar-link td-sidebar-link__page" id=m-cndocsclientsrestful-apiother><span>Other</span></a></li></ul></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-cndocsclientshugegraph-client-li><a href=/cn/docs/clients/hugegraph-client/ class="align-left pl-0 td-sidebar-link td-sidebar-link__page" id=m-cndocsclientshugegraph-client><span>HugeGraph Java Client</span></a></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-cndocsclientsgremlin-console-li><a href=/cn/docs/clients/gremlin-console/ title=Gremlin-Console class="align-left pl-0 td-sidebar-link td-sidebar-link__page" id=m-cndocsclientsgremlin-console><span>Gremlin 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foldable"><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-cndocsperformanceapi-preformancehugegraph-api-056-rocksdb-li><a href=/cn/docs/performance/api-preformance/hugegraph-api-0.5.6-rocksdb/ class="align-left pl-0 td-sidebar-link td-sidebar-link__page" id=m-cndocsperformanceapi-preformancehugegraph-api-056-rocksdb><span>v0.5.6 Stand-alone(RocksDB)</span></a></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-cndocsperformanceapi-preformancehugegraph-api-056-cassandra-li><a href=/cn/docs/performance/api-preformance/hugegraph-api-0.5.6-cassandra/ class="align-left pl-0 td-sidebar-link td-sidebar-link__page" id=m-cndocsperformanceapi-preformancehugegraph-api-056-cassandra><span>v0.5.6 Cluster(Cassandra)</span></a></li></ul></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-cndocsperformancehugegraph-loader-performance-li><a 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| <a id=print href=/cn/docs/config/_print/><i class="fa fa-print fa-fw"></i> Print entire section</a></div><div class=td-toc><nav id=TableOfContents><ul><li><ul><li><a href=#computer-config-options>Computer Config Options</a></li><li><a href=#k8s-operator-config-options>K8s Operator Config Options</a></li><li><a href=#hugegraph-computer-crd>HugeGraph-Computer CRD</a></li><li><a href=#kubedriver-config-options>KubeDriver Config Options</a></li></ul></li></ul></nav></div></aside><main class="col-12 col-md-9 col-xl-8 pl-md-5" role=main><nav aria-label=breadcrumb class=td-breadcrumbs><ol class=breadcrumb><li class=breadcrumb-item><a href=/cn/docs/>Documentation</a></li><li class=breadcrumb-item><a href=/cn/docs/config/>Config</a></li><li class="breadcrumb-item active" aria-current=page><a href=/cn/docs/config/config-computer/>图计算 Computer 配置</a></li></ol></nav><div class=td-content><h1>HugeGraph-Computer 配置</h1><header class=article-meta></header><h3 id=computer-config-options>Computer Config Options</h3><table><thead><tr><th>config option</th><th>default value</th><th>description</th></tr></thead><tbody><tr><td>algorithm.message_class</td><td>org.apache.hugegraph.computer.core.config.Null</td><td>The class of message passed when compute vertex.</td></tr><tr><td>algorithm.params_class</td><td>org.apache.hugegraph.computer.core.config.Null</td><td>The class used to transfer algorithms’ parameters before algorithm been run.</td></tr><tr><td>algorithm.result_class</td><td>org.apache.hugegraph.computer.core.config.Null</td><td>The class of vertex’s value, the instance is used to store computation result for the vertex.</td></tr><tr><td>allocator.max_vertices_per_thread</td><td>10000</td><td>Maximum number of vertices per thread processed in each memory allocator</td></tr><tr><td>bsp.etcd_endpoints</td><td>http://localhost:2379</td><td>The end points to access etcd.</td></tr><tr><td>bsp.log_interval</td><td>30000</td><td>The log interval(in ms) to print the log while waiting bsp event.</td></tr><tr><td>bsp.max_super_step</td><td>10</td><td>The max super step of the algorithm.</td></tr><tr><td>bsp.register_timeout</td><td>300000</td><td>The max timeout to wait for master and works to register.</td></tr><tr><td>bsp.wait_master_timeout</td><td>86400000</td><td>The max timeout(in ms) to wait for master bsp event.</td></tr><tr><td>bsp.wait_workers_timeout</td><td>86400000</td><td>The max timeout to wait for workers bsp event.</td></tr><tr><td>hgkv.max_data_block_size</td><td>65536</td><td>The max byte size of hgkv-file data block.</td></tr><tr><td>hgkv.max_file_size</td><td>2147483648</td><td>The max number of bytes in each hgkv-file.</td></tr><tr><td>hgkv.max_merge_files</td><td>10</td><td>The max number of files to merge at one time.</td></tr><tr><td>hgkv.temp_file_dir</td><td>/tmp/hgkv</td><td>This folder is used to store temporary files, temporary files will be generated during the file merging process.</td></tr><tr><td>hugegraph.name</td><td>hugegraph</td><td>The graph name to load data and write results back.</td></tr><tr><td>hugegraph.url</td><td>http://127.0.0.1:8080</td><td>The hugegraph url to load data and write results back.</td></tr><tr><td>input.edge_direction</td><td>OUT</td><td>The data of the edge in which direction is loaded, when the value is BOTH, the edges in both OUT and IN direction will be loaded.</td></tr><tr><td>input.edge_freq</td><td>MULTIPLE</td><td>The frequency of edges can exist between a pair of vertices, allowed values: [SINGLE, SINGLE_PER_LABEL, MULTIPLE]. SINGLE means that only one edge can exist between a pair of vertices, use sourceId + targetId to identify it; SINGLE_PER_LABEL means that each edge label can exist one edge between a pair of vertices, use sourceId + edgelabel + targetId to identify it; MULTIPLE means that many edge can exist between a pair of vertices, use sourceId + edgelabel + sortValues + targetId to identify it.</td></tr><tr><td>input.filter_class</td><td>org.apache.hugegraph.computer.core.input.filter.DefaultInputFilter</td><td>The class to create input-filter object, input-filter is used to Filter vertex edges according to user needs.</td></tr><tr><td>input.loader_schema_path</td><td></td><td>The schema path of loader input, only takes effect when the input.source_type=loader is enabled</td></tr><tr><td>input.loader_struct_path</td><td></td><td>The struct path of loader input, only takes effect when the input.source_type=loader is enabled</td></tr><tr><td>input.max_edges_in_one_vertex</td><td>200</td><td>The maximum number of adjacent edges allowed to be attached to a vertex, the adjacent edges will be stored and transferred together as a batch unit.</td></tr><tr><td>input.source_type</td><td>hugegraph-server</td><td>The source type to load input data, allowed values: [‘hugegraph-server’, ‘hugegraph-loader’], the ‘hugegraph-loader’ means use hugegraph-loader load data from HDFS or file, if use ‘hugegraph-loader’ load data then please config ‘input.loader_struct_path’ and ‘input.loader_schema_path’.</td></tr><tr><td>input.split_fetch_timeout</td><td>300</td><td>The timeout in seconds to fetch input splits</td></tr><tr><td>input.split_max_splits</td><td>10000000</td><td>The maximum number of input splits</td></tr><tr><td>input.split_page_size</td><td>500</td><td>The page size for streamed load input split data</td></tr><tr><td>input.split_size</td><td>1048576</td><td>The input split size in bytes</td></tr><tr><td>job.id</td><td>local_0001</td><td>The job id on Yarn cluster or K8s cluster.</td></tr><tr><td>job.partitions_count</td><td>1</td><td>The partitions count for computing one graph algorithm job.</td></tr><tr><td>job.partitions_thread_nums</td><td>4</td><td>The number of threads for partition parallel compute.</td></tr><tr><td>job.workers_count</td><td>1</td><td>The workers count for computing one graph algorithm job.</td></tr><tr><td>master.computation_class</td><td>org.apache.hugegraph.computer.core.master.DefaultMasterComputation</td><td>Master-computation is computation that can determine whether to continue next superstep. It runs at the end of each superstep on master.</td></tr><tr><td>output.batch_size</td><td>500</td><td>The batch size of output</td></tr><tr><td>output.batch_threads</td><td>1</td><td>The threads number used to batch output</td></tr><tr><td>output.hdfs_core_site_path</td><td></td><td>The hdfs core site path.</td></tr><tr><td>output.hdfs_delimiter</td><td>,</td><td>The delimiter of hdfs output.</td></tr><tr><td>output.hdfs_kerberos_enable</td><td>false</td><td>Is Kerberos authentication enabled for Hdfs.</td></tr><tr><td>output.hdfs_kerberos_keytab</td><td></td><td>The Hdfs’s key tab file for kerberos authentication.</td></tr><tr><td>output.hdfs_kerberos_principal</td><td></td><td>The Hdfs’s principal for kerberos authentication.</td></tr><tr><td>output.hdfs_krb5_conf</td><td>/etc/krb5.conf</td><td>Kerberos configuration file.</td></tr><tr><td>output.hdfs_merge_partitions</td><td>true</td><td>Whether merge output files of multiple partitions.</td></tr><tr><td>output.hdfs_path_prefix</td><td>/hugegraph-computer/results</td><td>The directory of hdfs output result.</td></tr><tr><td>output.hdfs_replication</td><td>3</td><td>The replication number of hdfs.</td></tr><tr><td>output.hdfs_site_path</td><td></td><td>The hdfs site path.</td></tr><tr><td>output.hdfs_url</td><td>hdfs://127.0.0.1:9000</td><td>The hdfs url of output.</td></tr><tr><td>output.hdfs_user</td><td>hadoop</td><td>The hdfs user of output.</td></tr><tr><td>output.output_class</td><td>org.apache.hugegraph.computer.core.output.LogOutput</td><td>The class to output the computation result of each vertex. Be called after iteration computation.</td></tr><tr><td>output.result_name</td><td>value</td><td>The value is assigned dynamically by #name() of instance created by WORKER_COMPUTATION_CLASS.</td></tr><tr><td>output.result_write_type</td><td>OLAP_COMMON</td><td>The result write-type to output to hugegraph, allowed values are: [OLAP_COMMON, OLAP_SECONDARY, OLAP_RANGE].</td></tr><tr><td>output.retry_interval</td><td>10</td><td>The retry interval when output failed</td></tr><tr><td>output.retry_times</td><td>3</td><td>The retry times when output failed</td></tr><tr><td>output.single_threads</td><td>1</td><td>The threads number used to single output</td></tr><tr><td>output.thread_pool_shutdown_timeout</td><td>60</td><td>The timeout seconds of output threads pool shutdown</td></tr><tr><td>output.with_adjacent_edges</td><td>false</td><td>Output the adjacent edges of the vertex or not</td></tr><tr><td>output.with_edge_properties</td><td>false</td><td>Output the properties of the edge or not</td></tr><tr><td>output.with_vertex_properties</td><td>false</td><td>Output the properties of the vertex or not</td></tr><tr><td>sort.thread_nums</td><td>4</td><td>The number of threads performing internal sorting.</td></tr><tr><td>transport.client_connect_timeout</td><td>3000</td><td>The timeout(in ms) of client connect to server.</td></tr><tr><td>transport.client_threads</td><td>4</td><td>The number of transport threads for client.</td></tr><tr><td>transport.close_timeout</td><td>10000</td><td>The timeout(in ms) of close server or close client.</td></tr><tr><td>transport.finish_session_timeout</td><td>0</td><td>The timeout(in ms) to finish session, 0 means using (transport.sync_request_timeout * transport.max_pending_requests).</td></tr><tr><td>transport.heartbeat_interval</td><td>20000</td><td>The minimum interval(in ms) between heartbeats on client side.</td></tr><tr><td>transport.io_mode</td><td>AUTO</td><td>The network IO Mode, either ‘NIO’, ‘EPOLL’, ‘AUTO’, the ‘AUTO’ means selecting the property mode automatically.</td></tr><tr><td>transport.max_pending_requests</td><td>8</td><td>The max number of client unreceived ack, it will trigger the sending unavailable if the number of unreceived ack >= max_pending_requests.</td></tr><tr><td>transport.max_syn_backlog</td><td>511</td><td>The capacity of SYN queue on server side, 0 means using system default value.</td></tr><tr><td>transport.max_timeout_heartbeat_count</td><td>120</td><td>The maximum times of timeout heartbeat on client side, if the number of timeouts waiting for heartbeat response continuously > max_heartbeat_timeouts the channel will be closed from client side.</td></tr><tr><td>transport.min_ack_interval</td><td>200</td><td>The minimum interval(in ms) of server reply ack.</td></tr><tr><td>transport.min_pending_requests</td><td>6</td><td>The minimum number of client unreceived ack, it will trigger the sending available if the number of unreceived ack < min_pending_requests.</td></tr><tr><td>transport.network_retries</td><td>3</td><td>The number of retry attempts for network communication,if network unstable.</td></tr><tr><td>transport.provider_class</td><td>org.apache.hugegraph.computer.core.network.netty.NettyTransportProvider</td><td>The transport provider, currently only supports Netty.</td></tr><tr><td>transport.receive_buffer_size</td><td>0</td><td>The size of socket receive-buffer in bytes, 0 means using system default value.</td></tr><tr><td>transport.recv_file_mode</td><td>true</td><td>Whether enable receive buffer-file mode, it will receive buffer write file from socket by zero-copy if enable.</td></tr><tr><td>transport.send_buffer_size</td><td>0</td><td>The size of socket send-buffer in bytes, 0 means using system default value.</td></tr><tr><td>transport.server_host</td><td>127.0.0.1</td><td>The server hostname or ip to listen on to transfer data.</td></tr><tr><td>transport.server_idle_timeout</td><td>360000</td><td>The max timeout(in ms) of server idle.</td></tr><tr><td>transport.server_port</td><td>0</td><td>The server port to listen on to transfer data. The system will assign a random port if it’s set to 0.</td></tr><tr><td>transport.server_threads</td><td>4</td><td>The number of transport threads for server.</td></tr><tr><td>transport.sync_request_timeout</td><td>10000</td><td>The timeout(in ms) to wait response after sending sync-request.</td></tr><tr><td>transport.tcp_keep_alive</td><td>true</td><td>Whether enable TCP keep-alive.</td></tr><tr><td>transport.transport_epoll_lt</td><td>false</td><td>Whether enable EPOLL level-trigger.</td></tr><tr><td>transport.write_buffer_high_mark</td><td>67108864</td><td>The high water mark for write buffer in bytes, it will trigger the sending unavailable if the number of queued bytes > write_buffer_high_mark.</td></tr><tr><td>transport.write_buffer_low_mark</td><td>33554432</td><td>The low water mark for write buffer in bytes, it will trigger the sending available if the number of queued bytes < write_buffer_low_mark.org.apache.hugegraph.config.OptionChecker$$Lambda$97/0x00000008001c8440@776a6d9b</td></tr><tr><td>transport.write_socket_timeout</td><td>3000</td><td>The timeout(in ms) to write data to socket buffer.</td></tr><tr><td>valuefile.max_segment_size</td><td>1073741824</td><td>The max number of bytes in each segment of value-file.</td></tr><tr><td>worker.combiner_class</td><td>org.apache.hugegraph.computer.core.config.Null</td><td>Combiner can combine messages into one value for a vertex, for example page-rank algorithm can combine messages of a vertex to a sum value.</td></tr><tr><td>worker.computation_class</td><td>org.apache.hugegraph.computer.core.config.Null</td><td>The class to create worker-computation object, worker-computation is used to compute each vertex in each superstep.</td></tr><tr><td>worker.data_dirs</td><td>[jobs]</td><td>The directories separated by ‘,’ that received vertices and messages can persist into.</td></tr><tr><td>worker.edge_properties_combiner_class</td><td>org.apache.hugegraph.computer.core.combiner.OverwritePropertiesCombiner</td><td>The combiner can combine several properties of the same edge into one properties at inputstep.</td></tr><tr><td>worker.partitioner</td><td>org.apache.hugegraph.computer.core.graph.partition.HashPartitioner</td><td>The partitioner that decides which partition a vertex should be in, and which worker a partition should be in.</td></tr><tr><td>worker.received_buffers_bytes_limit</td><td>104857600</td><td>The limit bytes of buffers of received data, the total size of all buffers can’t excess this limit. If received buffers reach this limit, they will be merged into a file.</td></tr><tr><td>worker.vertex_properties_combiner_class</td><td>org.apache.hugegraph.computer.core.combiner.OverwritePropertiesCombiner</td><td>The combiner can combine several properties of the same vertex into one properties at inputstep.</td></tr><tr><td>worker.wait_finish_messages_timeout</td><td>86400000</td><td>The max timeout(in ms) message-handler wait for finish-message of all workers.</td></tr><tr><td>worker.wait_sort_timeout</td><td>600000</td><td>The max timeout(in ms) message-handler wait for sort-thread to sort one batch of buffers.</td></tr><tr><td>worker.write_buffer_capacity</td><td>52428800</td><td>The initial size of write buffer that used to store vertex or message.</td></tr><tr><td>worker.write_buffer_threshold</td><td>52428800</td><td>The threshold of write buffer, exceeding it will trigger sorting, the write buffer is used to store vertex or message.</td></tr></tbody></table><h3 id=k8s-operator-config-options>K8s Operator Config Options</h3><blockquote><p>NOTE: Option needs to be converted through environment variable settings, e.g. k8s.internal_etcd_url => INTERNAL_ETCD_URL</p></blockquote><table><thead><tr><th>config option</th><th>default value</th><th>description</th></tr></thead><tbody><tr><td>k8s.auto_destroy_pod</td><td>true</td><td>Whether to automatically destroy all pods when the job is completed or failed.</td></tr><tr><td>k8s.close_reconciler_timeout</td><td>120</td><td>The max timeout(in ms) to close reconciler.</td></tr><tr><td>k8s.internal_etcd_url</td><td>http://127.0.0.1:2379</td><td>The internal etcd url for operator system.</td></tr><tr><td>k8s.max_reconcile_retry</td><td>3</td><td>The max retry times of reconcile.</td></tr><tr><td>k8s.probe_backlog</td><td>50</td><td>The maximum backlog for serving health probes.</td></tr><tr><td>k8s.probe_port</td><td>9892</td><td>The value is the port that the controller bind to for serving health probes.</td></tr><tr><td>k8s.ready_check_internal</td><td>1000</td><td>The time interval(ms) of check ready.</td></tr><tr><td>k8s.ready_timeout</td><td>30000</td><td>The max timeout(in ms) of check ready.</td></tr><tr><td>k8s.reconciler_count</td><td>10</td><td>The max number of reconciler thread.</td></tr><tr><td>k8s.resync_period</td><td>600000</td><td>The minimum frequency at which watched resources are reconciled.</td></tr><tr><td>k8s.timezone</td><td>Asia/Shanghai</td><td>The timezone of computer job and operator.</td></tr><tr><td>k8s.watch_namespace</td><td>hugegraph-computer-system</td><td>The value is watch custom resources in the namespace, ignore other namespaces, the ‘*’ means is all namespaces will be watched.</td></tr></tbody></table><h3 id=hugegraph-computer-crd>HugeGraph-Computer CRD</h3><blockquote><p>CRD: <a href=https://github.com/apache/hugegraph-computer/blob/master/computer-k8s-operator/manifest/hugegraph-computer-crd.v1.yaml>https://github.com/apache/hugegraph-computer/blob/master/computer-k8s-operator/manifest/hugegraph-computer-crd.v1.yaml</a></p></blockquote><table><thead><tr><th>spec</th><th>default value</th><th>description</th><th>required</th></tr></thead><tbody><tr><td>algorithmName</td><td></td><td>The name of algorithm.</td><td>true</td></tr><tr><td>jobId</td><td></td><td>The job id.</td><td>true</td></tr><tr><td>image</td><td></td><td>The image of algorithm.</td><td>true</td></tr><tr><td>computerConf</td><td></td><td>The map of computer config options.</td><td>true</td></tr><tr><td>workerInstances</td><td></td><td>The number of worker instances, it will instead the ‘job.workers_count’ option.</td><td>true</td></tr><tr><td>pullPolicy</td><td>Always</td><td>The pull-policy of image, detail please refer to: <a href=https://kubernetes.io/docs/concepts/containers/images/#image-pull-policy>https://kubernetes.io/docs/concepts/containers/images/#image-pull-policy</a></td><td>false</td></tr><tr><td>pullSecrets</td><td></td><td>The pull-secrets of Image, detail please refer to: <a href=https://kubernetes.io/docs/concepts/containers/images/#specifying-imagepullsecrets-on-a-pod>https://kubernetes.io/docs/concepts/containers/images/#specifying-imagepullsecrets-on-a-pod</a></td><td>false</td></tr><tr><td>masterCpu</td><td></td><td>The cpu limit of master, the unit can be ’m’ or without unit detail please refer to：<a href=https://kubernetes.io/docs/concepts/configuration/manage-resources-containers/#meaning-of-cpu>https://kubernetes.io/docs/concepts/configuration/manage-resources-containers/#meaning-of-cpu</a></td><td>false</td></tr><tr><td>workerCpu</td><td></td><td>The cpu limit of worker, the unit can be ’m’ or without unit detail please refer to：<a href=https://kubernetes.io/docs/concepts/configuration/manage-resources-containers/#meaning-of-cpu>https://kubernetes.io/docs/concepts/configuration/manage-resources-containers/#meaning-of-cpu</a></td><td>false</td></tr><tr><td>masterMemory</td><td></td><td>The memory limit of master, the unit can be one of Ei、Pi、Ti、Gi、Mi、Ki detail please refer to：<a href=https://kubernetes.io/docs/concepts/configuration/manage-resources-containers/#meaning-of-memory>https://kubernetes.io/docs/concepts/configuration/manage-resources-containers/#meaning-of-memory</a></td><td>false</td></tr><tr><td>workerMemory</td><td></td><td>The memory limit of worker, the unit can be one of Ei、Pi、Ti、Gi、Mi、Ki detail please refer to：<a href=https://kubernetes.io/docs/concepts/configuration/manage-resources-containers/#meaning-of-memory>https://kubernetes.io/docs/concepts/configuration/manage-resources-containers/#meaning-of-memory</a></td><td>false</td></tr><tr><td>log4jXml</td><td></td><td>The content of log4j.xml for computer job.</td><td>false</td></tr><tr><td>jarFile</td><td></td><td>The jar path of computer algorithm.</td><td>false</td></tr><tr><td>remoteJarUri</td><td></td><td>The remote jar uri of computer algorithm, it will overlay algorithm image.</td><td>false</td></tr><tr><td>jvmOptions</td><td></td><td>The java startup parameters of computer job.</td><td>false</td></tr><tr><td>envVars</td><td></td><td>please refer to: <a href=https://kubernetes.io/docs/tasks/inject-data-application/define-interdependent-environment-variables/>https://kubernetes.io/docs/tasks/inject-data-application/define-interdependent-environment-variables/</a></td><td>false</td></tr><tr><td>envFrom</td><td></td><td>please refer to: <a href=https://kubernetes.io/docs/tasks/inject-data-application/define-environment-variable-container/>https://kubernetes.io/docs/tasks/inject-data-application/define-environment-variable-container/</a></td><td>false</td></tr><tr><td>masterCommand</td><td>bin/start-computer.sh</td><td>The run command of master, equivalent to ‘Entrypoint’ field of Docker.</td><td>false</td></tr><tr><td>masterArgs</td><td>["-r master", “-d k8s”]</td><td>The run args of master, equivalent to ‘Cmd’ field of Docker.</td><td>false</td></tr><tr><td>workerCommand</td><td>bin/start-computer.sh</td><td>The run command of worker, equivalent to ‘Entrypoint’ field of Docker.</td><td>false</td></tr><tr><td>workerArgs</td><td>["-r worker", “-d k8s”]</td><td>The run args of worker, equivalent to ‘Cmd’ field of Docker.</td><td>false</td></tr><tr><td>volumes</td><td></td><td>Please refer to: <a href=https://kubernetes.io/docs/concepts/storage/volumes/>https://kubernetes.io/docs/concepts/storage/volumes/</a></td><td>false</td></tr><tr><td>volumeMounts</td><td></td><td>Please refer to: <a href=https://kubernetes.io/docs/concepts/storage/volumes/>https://kubernetes.io/docs/concepts/storage/volumes/</a></td><td>false</td></tr><tr><td>secretPaths</td><td></td><td>The map of k8s-secret name and mount path.</td><td>false</td></tr><tr><td>configMapPaths</td><td></td><td>The map of k8s-configmap name and mount path.</td><td>false</td></tr><tr><td>podTemplateSpec</td><td></td><td>Please refer to: <a href=https://kubernetes.io/docs/reference/kubernetes-api/workload-resources/pod-template-v1/#PodTemplateSpec>https://kubernetes.io/docs/reference/kubernetes-api/workload-resources/pod-template-v1/#PodTemplateSpec</a></td><td>false</td></tr><tr><td>securityContext</td><td></td><td>Please refer to: <a href=https://kubernetes.io/docs/tasks/configure-pod-container/security-context/>https://kubernetes.io/docs/tasks/configure-pod-container/security-context/</a></td><td>false</td></tr></tbody></table><h3 id=kubedriver-config-options>KubeDriver Config Options</h3><table><thead><tr><th>config option</th><th>default value</th><th>description</th></tr></thead><tbody><tr><td>k8s.build_image_bash_path</td><td></td><td>The path of command used to build image.</td></tr><tr><td>k8s.enable_internal_algorithm</td><td>true</td><td>Whether enable internal algorithm.</td></tr><tr><td>k8s.framework_image_url</td><td>hugegraph/hugegraph-computer:latest</td><td>The image url of computer framework.</td></tr><tr><td>k8s.image_repository_password</td><td></td><td>The password for login image repository.</td></tr><tr><td>k8s.image_repository_registry</td><td></td><td>The address for login image repository.</td></tr><tr><td>k8s.image_repository_url</td><td>hugegraph/hugegraph-computer</td><td>The url of image repository.</td></tr><tr><td>k8s.image_repository_username</td><td></td><td>The username for login image repository.</td></tr><tr><td>k8s.internal_algorithm</td><td>[pageRank]</td><td>The name list of all internal algorithm.</td></tr><tr><td>k8s.internal_algorithm_image_url</td><td>hugegraph/hugegraph-computer:latest</td><td>The image url of internal algorithm.</td></tr><tr><td>k8s.jar_file_dir</td><td>/cache/jars/</td><td>The directory where the algorithm jar to upload location.</td></tr><tr><td>k8s.kube_config</td><td>~/.kube/config</td><td>The path of k8s config file.</td></tr><tr><td>k8s.log4j_xml_path</td><td></td><td>The log4j.xml path for computer job.</td></tr><tr><td>k8s.namespace</td><td>hugegraph-computer-system</td><td>The namespace of hugegraph-computer system.</td></tr><tr><td>k8s.pull_secret_names</td><td>[]</td><td>The names of pull-secret for pulling image.</td></tr></tbody></table><style>.feedback--answer{display:inline-block}.feedback--answer-no{margin-left:1em}.feedback--response{display:none;margin-top:1em}.feedback--response__visible{display:block}</style><script>const yesButton=document.querySelector(".feedback--answer-yes"),noButton=document.querySelector(".feedback--answer-no"),yesResponse=document.querySelector(".feedback--response-yes"),noResponse=document.querySelector(".feedback--response-no"),disableButtons=()=>{yesButton.disabled=!0,noButton.disabled=!0},sendFeedback=e=>{if(typeof 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