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Elasticsearch 是一个开源的搜索和数据分析引擎，基于 Apache Lucene 库。 它提供了强大的查询功能，可以对结构化和非结构化数据进行索引、存储、搜索和分析。 Elasticsearch 可以用于构建高性能的搜索引擎、数据仓库和日志收集系统等应用场景。 在ElasticSearch中，你有执行搜索返回hit，并且同时返回聚合结果，把一个响应中所有hits分隔开的 能力，这是非常强大且有效的。 此时我们需要调整一下前面已经配置好的fluentd的配置图，因为需要fluentd访问这个elasticsearch服务。 只需要修改fluentd-configmap.yaml文件中的hosts 10.105.206.227:9200记录，将hosts后面的ip地址修改为这里看到的集群地址。 本文介绍如何通过Kubernetes在NFS服务器上部署Elasticsearch 7.8，包括创建存储卷、配置服务及使用NodePort进行外部访问的具体步骤。
docker elasticsearch:7.14.2，参考文档hub.docker文档：https://hub.docker.com/_/elasticsearch#说明：容器中生成索引数据存储位置为：/usr/share 这篇博客详细介绍了如何在Docker中部署Elasticsearch 7.x，包括从DockerHub获取官方镜像，设置数据目录、配置文件，以及启动参数。 本文将指导您如何使用 Docker 安装 Elasticsearch 和 Kibana 7.4.2 版本。 我们将分步骤介绍如何下载镜像、配置数据存储、启动容器以及进行可视化检索等操作。
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