Easysearch 可以通过 Helm 快速部署了，快来看看吧！
Easysearch 的 Chart 仓库地址在这里 https://helm.infinilabs.com。
使用 Helm 部署 Easysearch 有两个前提条件：
我们先按照 Chart 仓库的说明来快速部署一下。
~ helm repo add infinilabs https://helm.infinilabs.com~ cat << EOF | kubectl apply -n test -f -apiVersion: cert-manager.io/v1kind: Issuermetadata: name: easysearch-ca-issuerspec: selfSigned: {}---apiVersion: cert-manager.io/v1kind: Certificatemetadata: name: easysearch-ca-certificatespec: commonName: easysearch-ca-certificate duration: 87600h0m0s isCA: true issuerRef: kind: Issuer name: easysearch-ca-issuer privateKey: algorithm: ECDSA size: 256 renewBefore: 2160h0m0s secretName: easysearch-ca-secretEOF~ helm install easysearch infinilabs/easysearch -n test
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执行上面的两个命令之后，查看一下部署情况
~ kubectl get pod -n testNAME READY STATUS RESTARTS AGEeasysearch-0 1/1 Running 0 38s~ kubectl get svc -n testNAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGEeasysearch-svc-headless ClusterIP None <none> 9200/TCP,9300/TCP 67s~ kubectl exec -n test easysearch-0 -it -- curl -ku'admin:admin' https://localhost:9200Defaulted container "easysearch" out of: easysearch, init-config (init){ "name" : "easysearch-0", "cluster_name" : "infinilabs", "cluster_uuid" : "JwhwwWHMQKy8l6_US7rB1A", "version" : { "distribution" : "easysearch", "number" : "1.5.0", "distributor" : "INFINI Labs", "build_hash" : "5b5b117bc43e6793e7bb0cd8bd83567a5ef35be0", "build_date" : "2023-09-07T14:55:21.232870Z", "build_snapshot" : false, "lucene_version" : "8.11.2", "minimum_wire_lucene_version" : "7.7.0", "minimum_lucene_index_compatibility_version" : "7.7.0" }, "tagline" : "You Know, For Easy Search!"}
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通过上面的验证，我们可以看到 Easysearch 已经部署完成，是不是很方便。
按照 Chart 仓库的指导说明部署的是一个单节点集群，那如果要部署多节点的要怎么办呢？下面让我们来研究一下 Easysearch Chart 包的源码 https://github.com/infinilabs/helm-charts/tree/main/charts/easysearch。
熟悉 Chart 包结构的小伙伴都清楚，Chart 包的变量配置一般都是在 values.yaml 文件中配置的。
我们先来看一下默认的 values.yaml 文件内容（这里只截选了一些可能需要变更的配置，完整内容请查阅源码）：
replicaCount: 1resources: limits: cpu: 1000m memory: 2Gi requests: cpu: 1000m memory: 2Gi
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storageClassName: local-pathdataVolumeStorage: 100Gi
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clusterName: infinilabsmasterHosts: '"easysearch-0"'discoverySeedHosts: '"easysearch-0.easysearch-svc-headless"'nodeRoles: '"master","data","ingest","remote_cluster_client"'
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根据研究源码的结果，多节点集群的部署只需要我们调整部署的 pod 副本数、集群名、主节点列表以及节点角色这几个配置。下面让我们来实践一下：
1、集群规划
集群名：es-test
规模：3 主节点 + 3 数据节点 + 2 协调节点
2、Chart 的版本名
主节点：es-test-master
数据节点：es-test-data
协调节点：es-test-coordinate
3、根据节点角色创建不同的 values.yaml 文件
replicaCount: 3clusterName: es-testmasterHosts: '"es-test-master-easysearch-0","es-test-master-easysearch-1","es-test-master-easysearch-2"'discoverySeedHosts: '"es-test-master-easysearch-0.es-test-master-easysearch-svc-headless","es-test-master-easysearch-1.es-test-master-easysearch-svc-headless","es-test-master-easysearch-2.es-test-master-easysearch-svc-headless"'nodeRoles: '"master","ingest","remote_cluster_client"'
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replicaCount: 3clusterName: es-testmasterHosts: '"es-test-master-easysearch-0","es-test-master-easysearch-1","es-test-master-easysearch-2"'discoverySeedHosts: '"es-test-master-easysearch-0.es-test-master-easysearch-svc-headless","es-test-master-easysearch-1.es-test-master-easysearch-svc-headless","es-test-master-easysearch-2.es-test-master-easysearch-svc-headless"'nodeRoles: '"data","ingest","remote_cluster_client"'
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replicaCount: 2clusterName: es-testmasterHosts: '"es-test-master-easysearch-0","es-test-master-easysearch-1","es-test-master-easysearch-2"'discoverySeedHosts: '"es-test-master-easysearch-0.es-test-master-easysearch-svc-headless","es-test-master-easysearch-1.es-test-master-easysearch-svc-headless","es-test-master-easysearch-2.es-test-master-easysearch-svc-headless"'nodeRoles: ""
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4、使用各节点角色的配置文件部署
~ helm install es-test-master infinilabs/easysearch -n test -f es-test-master.yaml~ helm install es-test-data infinilabs/easysearch -n test -f es-test-data.yaml~ helm install es-test-coordinate infinilabs/easysearch -n test -f es-test-coordinate.yaml
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5、验证
~ kubectl get pod -n test|grep es-testes-test-master-easysearch-0 1/1 Running 0 5m57ses-test-data-easysearch-0 1/1 Running 0 5m29ses-test-coordinate-easysearch-0 1/1 Running 0 5m10ses-test-master-easysearch-1 1/1 Running 0 4m57ses-test-data-easysearch-1 1/1 Running 0 4m29ses-test-coordinate-easysearch-1 1/1 Running 0 4m10ses-test-master-easysearch-2 1/1 Running 0 3m56ses-test-data-easysearch-2 1/1 Running 0 3m29s~ kubectl exec -n test es-test-master-easysearch-0 -it -- curl -ku'admin:admin' https://localhost:9200/_cat/nodes?vDefaulted container "easysearch" out of: easysearch, init-config (init)ip heap.percent ram.percent cpu load_1m load_5m load_15m node.role master name10.42.0.130 12 63 12 1.53 2.67 2.11 - - es-test-coordinate-easysearch-010.42.0.136 53 65 52 1.53 2.67 2.11 dir - es-test-data-easysearch-110.42.0.139 6 63 14 1.53 2.67 2.11 - - es-test-coordinate-easysearch-110.42.0.133 10 63 14 1.53 2.67 2.11 imr - es-test-master-easysearch-110.42.0.149 58 65 59 1.53 2.67 2.11 dir - es-test-data-easysearch-210.42.0.124 53 68 35 1.53 2.67 2.11 imr * es-test-master-easysearch-010.42.0.127 56 65 46 1.53 2.67 2.11 dir - es-test-data-easysearch-010.42.0.146 15 63 18 1.53 2.67 2.11 imr - es-test-master-easysearch-2
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至此，多集群已部署完成。
关于 Easysearch
INFINI Easysearch 是一个分布式的近实时搜索与分析引擎，核心引擎基于开源的 Apache Lucene。Easysearch 的目标是提供一个轻量级的 Elasticsearch 可替代版本，并继续完善和支持更多的企业级功能。 与 Elasticsearch 相比，Easysearch 更关注在搜索业务场景的优化和继续保持其产品的简洁与易用性。
官网文档：https://www.infinilabs.com/docs/latest/easysearch
下载地址：https://www.infinilabs.com/download
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