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OpenSearch 集群拓扑结构实现成本节约的自动伸缩.pdf

上传人: 竿*** 编号:981479 2025-11-29 68页 2.95MB

1、OPENSEARCH CLUSTER TOPOLOGIES FOR COST-SAVING AUTOSCALINGAmitai SternINDEXING OBJECTSIce-core samplesINDEXING OBJECTSCultural and historical objectsINDEXING OBJECTSCultural and historical objectsINDEXING OBJECTSCultural and historical objectsAMITAI STERNOpenSearch Technical Steering Committee Team L

2、ead Logz.ioOpenSearch is an open-source,enterprise-grade search and observability suite that brings order to unstructured data at scaleSSPL,ELv2ALv2,ELv2SSPL,ELv2,AGPLALv2Monolithic ApplicationOPENSEARCH CLUSTER ARCHITECTUREMonolithic ApplicationOPENSEARCH CLUSTER ARCHITECTUREOPENSEARCH CLUSTER ARCH

3、ITECTUREMonolithic ApplicationMonolithic ApplicationCluster Manager NodesOPENSEARCH CLUSTER ARCHITECTUREMonolithic ApplicationCoordinating NodesOPENSEARCH CLUSTER ARCHITECTUREMonolithic ApplicationData NodesOPENSEARCH CLUSTER ARCHITECTUREMonolithic ApplicationData NodesOPENSEARCH CLUSTER ARCHITECTUR

4、EINDEXMonolithic ApplicationData NodesOPENSEARCH CLUSTER ARCHITECTURESHARD 0INDEXSHARD 1SHARD 2SHARD NMonolithic ApplicationData NodesOPENSEARCH CLUSTER ARCHITECTURE$READWRITEWHY AUTO-SCALE?LoadTimeOver provisionedUnder provisionedWHY AUTO-SCALE?Load that can be handled by current scaleLoadOver prov

5、isionedUnder provisionedLoad that can be handled by current scaleWHY AUTO-SCALE?LoadOver provisionedUnder provisionedLoad that can be handled by current scaleWHY AUTO-SCALE?TimeSCALING OPENSEARCHLOADSCALING OPENSEARCHREADSCALING OPENSEARCHWRITEVERTICAL SCALINGHORIZONTAL SCALINGEssential skill for ma

6、naging OpenSearch clustersShard 0Shard 1Shard 2Shard 3HORIZONTAL SCALINGhash(a$i_sdns8)=13451345 Mod 4=1PUT_id:a$i_sds8HORIZONTAL SCALING_id:a$i_sds8Shard 0Shard 1Shard 2Shard 3Shard 4GET_id:a$i_s3s8HORIZONTAL SCALINGGET?Shard 0Shard 1Shard 2Shard 3Shard 4_id:a$i_s3s8hash(a$i_sdns8)=13451345 Mod 5=0

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根据报告的内容,全文主要围绕OpenSearch集群的架构、自动缩放和集群拓扑结构展开。以下是关键点: 1. OpenSearch是一个开源的企业级搜索和可观察性套件,用于处理大规模非结构化数据。 2. OpenSearch集群架构包括ClusterManager节点、协调节点和数据节点,数据节点负责索引和读写操作。 3. 自动缩放是为了应对负载变化,包括垂直缩放和水平缩放。 4. 水平缩放通过增加或减少数据节点来调整集群规模。 5. 集群拓扑结构包括维护“突发索引”和“突发集群”,以应对不同负载。 6. 未来将推出更多关键特性,以支持更灵活的集群管理。
"OpenSearch集群如何自动扩展?" "OpenSearch横向扩展的秘诀是什么?" "如何维护OpenSearch的“突发索引”?"
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