前言
因为自己的网站要做全文检索功能，本身我是使用mongodb做为数据库的，但是考虑到后期数据量非常大而且用户体验也要跟上，所以准备入手elasticsearch做为我的站内搜索，现分享给大家。
安装
看过我文章的小伙伴应该知道，之前已经使用过helm3安装过redis、rabbitmq，所以套路都是一样的，我们先来搜索elasticsearch和kibana。
命令:
helm search repo elasticsearch
helm search repo kibana输出:
NAME CHART VERSION APP VERSION DESCRIPTION
bitnami/elasticsearch 18.2.9 8.2.2 Elasticsearch is a distributed search and analy...
elastic/elasticsearch 7.17.3 7.17.3 Official Elastic helm chart for Elasticsearch
stable/elasticsearch 1.32.5 6.8.6 DEPRECATED Flexible and powerful open source, d...
stable/elasticsearch-curator 2.2.3 5.7.6 DEPRECATED A Helm chart for Elasticsearch Curator
stable/elasticsearch-exporter 3.7.0 1.1.0 Elasticsearch stats exporter for Prometheus
bitnami/dataplatform-bp2 12.0.3 1.0.1 This Helm chart can be used for the automated d...
bitnami/grafana 7.6.5 8.3.4 Grafana is an open source, feature rich metrics...
bitnami/kibana 10.1.9 8.2.2 Kibana is an open source, browser based analyti...
elastic/eck-operator 2.2.0 2.2.0 A Helm chart for deploying the Elastic Cloud on...
stable/apm-server 2.1.7 7.0.0 DEPRECATED The server receives data from the El...
stable/dmarc2logstash 1.3.1 1.0.3 DEPRECATED Provides a POP3-polled DMARC XML rep...
stable/elastabot 1.2.1 1.1.0 DEPRECATED A Helm chart for Elastabot - a Slack...
stable/elastalert 1.5.1 0.2.4 DEPRECATED ElastAlert is a simple framework for...
stable/fluentd 2.5.3 v2.4.0 DEPRECATED A Fluentd Elasticsearch Helm chart f...
stable/kibana 3.2.7 6.7.0 Kibana is an open source data visualization plu...
elastic/eck-operator-crds 2.2.0 2.2.0 A Helm chart for installing the ECK operator Cu...NAME CHART VERSION APP VERSION DESCRIPTION
bitnami/kibana 10.1.9 8.2.2 Kibana is an open source, browser based analyti...
elastic/kibana 7.17.3 7.17.3 Official Elastic helm chart for Kibana
stable/kibana 3.2.7 6.7.0 Kibana is an open source data visualization plu...
elastic/eck-operator 2.2.0 2.2.0 A Helm chart for deploying the Elastic Cloud on...
bitnami/dataplatform-bp2 12.0.3 1.0.1 This Helm chart can be used for the automated d...
elastic/eck-operator-crds 2.2.0 2.2.0 A Helm chart for installing the ECK operator Cu...然后找到自己想要的repo拉下来，比如我这里选用的是bitnami/elasticsearch和bitnami/kibana，接着输入以下命令：
命令:
helm pull bitnami/elasticsearch
helm pull bitnami/kibana下载下来之后，我们先打开elasticsearch的values.yaml文件，查阅之后，我们设置我们想要的配置如下所示：
elasticsearch values.yaml
global:
storageClass: "alicloud-cnfs-nas"
elasticsearch:
service:
name: elasticsearch
ports:
restAPI: 9200
kibanaEnabled: false
service:
type: NodePort
master:
replicaCount: 1
data:
replicaCount: 1
coordinating:
replicaCount: 1
ingest:
replicaCount: 1注意：因为我使用的是阿里云的K8S所以storageClass我用的是alicloud-cnfs，之前文章有说过如何安装，有兴趣的可以前去查看，之后副本我都使用的是1，原因也是想节约资源。
配置好之后，接下来我们来安装，命令如下：
helm install -f test-values.yaml test-elasticsearch bitnami/elasticsearch --namespace elasticsearch输出：
NAME: test-elasticsearch
LAST DEPLOYED: Wed Jun 15 10:11:40 2022
NAMESPACE: elasticsearch
STATUS: deployed
REVISION: 1
TEST SUITE: None
NOTES:
CHART NAME: elasticsearch
CHART VERSION: 18.2.10
APP VERSION: 8.2.2
-------------------------------------------------------------------------------
WARNING
Elasticsearch requires some changes in the kernel of the host machine to
work as expected. If those values are not set in the underlying operating
system, the ES containers fail to boot with ERROR messages.
More information about these requirements can be found in the links below:
https://www.elastic.co/guide/en/elasticsearch/reference/current/file-descriptors.html
https://www.elastic.co/guide/en/elasticsearch/reference/current/vm-max-map-count.html
This chart uses a privileged initContainer to change those settings in the Kernel
by running: sysctl -w vm.max_map_count=262144 && sysctl -w fs.file-max=65536
** Please be patient while the chart is being deployed **
Elasticsearch can be accessed within the cluster on port 9200 at test-elasticsearch.elasticsearch.svc.cluster.local
To access from outside the cluster execute the following commands:
export NODE_PORT=$(kubectl get --namespace elasticsearch -o jsonpath="{.spec.ports[0].nodePort}" services test-elasticsearch)
export NODE_IP=$(kubectl get nodes --namespace elasticsearch -o jsonpath="{.items[0].status.addresses[0].address}")
curl http://$NODE_IP:$NODE_PORT/这样就安装好了，接下来，我们通过以下命令来获取IP和PORT目的是访问我们已经安装好的elasticsearch
# 获取端口
kubectl get --namespace elasticsearch -o jsonpath="{.spec.ports[0].nodePort}" services test-elasticsearch
# 获取IP
kubectl get nodes --namespace elasticsearch -o jsonpath="{.items[0].status.addresses[0].address}"完成获取之后，我们把地址打开会出现如下显示，则证明安装成功。
{
"name" : "test-elasticsearch-coordinating-0",
"cluster_name" : "elastic",
"cluster_uuid" : "fd9jc0k3QY2E5wYHgcGNbA",
"version" : {
"number" : "8.2.2",
"build_flavor" : "default",
"build_type" : "tar",
"build_hash" : "9876968ef3c745186b94fdabd4483e01499224ef",
"build_date" : "2022-05-25T15:47:06.259735307Z",
"build_snapshot" : false,
"lucene_version" : "9.1.0",
"minimum_wire_compatibility_version" : "7.17.0",
"minimum_index_compatibility_version" : "7.0.0"
},
"tagline" : "You Know, for Search"
}安装好之后，接下来我们安装kibana，跟安装elasticsearch类似，我们配置一下pull 下来的values.yaml文件
service:
type: NodePort
elasticsearch:
hosts: [your-elasticsearch-ip]
port: your-elasticsearch-port
persistence:
storageClass: "alicloud-cnfs-nas"
size: 10Gi配置完之后，我们执行一下命令：
helm install -f test-values.yaml test-kibana bitnami/kibana --namespace elasticsearch输出：
NAME: test-kibana
LAST DEPLOYED: Wed Jun 15 21:55:26 2022
NAMESPACE: elasticsearch
STATUS: deployed
REVISION: 1
TEST SUITE: None
NOTES:
CHART NAME: kibana
CHART VERSION: 10.1.9
APP VERSION: 8.2.2
** Please be patient while the chart is being deployed **
1. Get the application URL by running these commands:
export NODE_PORT=$(kubectl get --namespace elasticsearch -o jsonpath="{.spec.ports[0].nodePort}" services test-kibana)
export NODE_IP=$(kubectl get nodes --namespace elasticsearch -o jsonpath="{.items[0].status.addresses[0].address}")
echo http://$NODE_IP:$NODE_PORT
WARNING: Kibana is externally accessible from the cluster but the dashboard does not contain authentication mechanisms. Make sure you follow the authentication guidelines in your Elastic stack.
+info https://www.elastic.co/guide/en/elasticsearch/reference/current/setting-up-authentication.html这样就安装好了，接下来，我们通过以下命令来获取IP和PORT目的是访问我们已经安装好的elasticsearch
# 获取端口
kubectl get --namespace elasticsearch -o jsonpath="{.spec.ports[0].nodePort}" services test-kibana
# 获取IP
kubectl get nodes --namespace elasticsearch -o jsonpath="{.items[0].status.addresses[0].address}"完成获取之后，我们把地址打开会出现如下显示，则证明安装成功，现在开始你的elasticsearch之旅吧。
总结
1、bitnami/elasticsearch已经集成了kibana，就看你想使用集成的还是独立的了