Easysearch 能够通过 Helm 疾速部署了，快来看看吧！

Easysearch 的 Chart 仓库地址在这里 https://helm.infinilabs.com。

应用 Helm 部署 Easysearch 有两个前提条件：

  • cert-manager
  • local-path

咱们先依照 Chart 仓库的阐明来疾速部署一下。

~ 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

执行下面的两个命令之后，查看一下部署状况

~ 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!"}

通过下面的验证，咱们能够看到 Easysearch 曾经部署实现，是不是很不便。

依照 Chart 仓库的领导阐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？上面让咱们来钻研一下 Easysearch Chart 包的源码 https://github.com/infinilabs/helm-charts/tree/main/charts/easysearch。

相熟 Chart 包构造的小伙伴都分明，Chart 包的变量配置个别都是在 values.yaml 文件中配置的。

咱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须要变更的配置，残缺内容请查阅源码）：

  • pod 正本数以及应用资源的配置
replicaCount: 1resources:  limits:    cpu: 1000m    memory: 2Gi  requests:    cpu: 1000m    memory: 2Gi
  • 应用存储类型以及容量的配置
storageClassName: local-pathdataVolumeStorage: 100Gi
  • 集群名、主节点列表以及节点角色配置
clusterName: infinilabsmasterHosts: '"easysearch-0"'discoverySeedHosts: '"easysearch-0.easysearch-svc-headless"'nodeRoles: '"master","data","ingest","remote_cluster_client"'

依据钻研源码的后果，多节点集群的部署只须要咱们调整部署的 pod 正本数、集群名、主节点列表以及节点角色这几个配置。上面让咱们来实际一下：

1、集群布局

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、依据节点角色创立不同的 values.yaml 文件

  • es-test-master.yaml
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"'
  • es-test-data.yaml
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"'
  • es-test-coordinate.yaml
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: ""

4、应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

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

至此，多集群已部署实现。

对于 Easysearch

INFINI Easysearch 是一个分布式的近实时搜寻与剖析引擎，外围引擎基于开源的 Apache Lucene。Easysearch 的指标是提供一个轻量级的 Elasticsearch 可代替版本，并持续欠缺和反对更多的企业级性能。 与 Elasticsearch 相比，Easysearch 更关注在搜寻业务场景的优化和持续放弃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