selection ES版本升级(7.6.2到7.7.1)

一、背景

7.7.1 版本的压测报告

二、准备

1. y3 kp selection ES集群

单元	应用名	主机IP	配置	CPU主频	监控
yumc3(ksa)	kp	172.25.162.36	16C/32G/200G	2.30GHz
kp	172.25.162.38	16C/32G/200G	2.30GHz
kp	172.25.162.39	16C/32G/200G	2.30GHz
kp	172.25.162.41	16C/32G/200G	2.30GHz
kp	172.25.162.44	16C/32G/200G	2.30GHz
kp	172.25.162.46	16C/32G/200G	2.30GHz

2. 安装包

3. 升级时间2025.04.14 晚上22点

四、升级操作

1. 【DBA】传递安装包

# 传递rpm包

2. ## 【TSC】清空流量

3. 【DBA】停止6个节点的es服务

172.25.162.36
172.25.162.38
172.25.162.39
172.25.162.41
172.25.162.44
172.25.162.46

# 
systemctl stop elasticsearch

4. ## 【DBA】备份762的数据配置

# 备份elasticsearch数据路径
mv /data/elasticsearch /data/elasticsearch_762_250414bak


# 创建新的elasticsearch路径
mkdir /data/elasticsearch
chown -R elasticsearch.elasticsearch /data/elasticsearch

5. ## 【DBA】备份762的配置文件

# 备份2个配置文件
cp /etc/elasticsearch/elasticsearch.yml /root/elasticsearch.yml_762_250414bak
cp /etc/elasticsearch/jvm.options /root/jvm.options_762_250414bak

6. ## 【DBA】安装es771服务

# 安装
rpm -i /root/elasticsearch-7.7.1-x86_64.rpm

# 创建es的数据目录和日志目录
mkdir -p /data/elasticsearch/{data,backup,log}
# 权限调整
chown -R elasticsearch:elasticsearch /data/elasticsearch

# 删除log4j多余的jar包
rm -rf /usr/share/elasticsearch/lib/log4j-api-2.11.1.jar
rm -rf /usr/share/elasticsearch/lib/log4j-core-2.11.1.jar
rm -rf /usr/share/elasticsearch/modules/x-pack-core/log4j-1.2-api-2.11.1.jar

7. ## 【DBA】配置新版本es的es配置文件

vi /etc/elasticsearch/elasticsearch.yml



# 172.25.162.36
cluster.name: kp_selection_ksa
node.name: master01
node.master: true
node.data: true
node.ingest: true
node.ml: true
path.data: /data/elasticsearch/data
path.logs: /data/elasticsearch/log
path.repo: ["/data/elasticsearch/backup"]
network.host: 172.25.162.36
http.port: 9200
discovery.seed_hosts: ["172.25.162.36","172.25.162.38","172.25.162.39"]
cluster.initial_master_nodes: ["172.25.162.36","172.25.162.38","172.25.162.39"]




# 172.25.162.38
cluster.name: kp_selection_ksa
node.name: master02
node.master: true
node.data: true
node.ingest: true
node.ml: true
path.data: /data/elasticsearch/data
path.logs: /data/elasticsearch/log
path.repo: ["/data/elasticsearch/backup"]
network.host: 172.25.162.38
http.port: 9200
discovery.seed_hosts: ["172.25.162.36","172.25.162.38","172.25.162.39"]
cluster.initial_master_nodes: ["172.25.162.36","172.25.162.38","172.25.162.39"]


# 172.25.162.39
cluster.name: kp_selection_ksa
node.name: master03
node.master: true
node.data: true
node.ingest: true
node.ml: true
path.data: /data/elasticsearch/data
path.logs: /data/elasticsearch/log
path.repo: ["/data/elasticsearch/backup"]
network.host: 172.25.162.39
http.port: 9200
discovery.seed_hosts: ["172.25.162.36","172.25.162.38","172.25.162.39"]
cluster.initial_master_nodes: ["172.25.162.36","172.25.162.38","172.25.162.39"]


# 172.25.162.41
cluster.name: kp_selection_ksa
node.name: KSSHMW149699
node.master: false
node.data: true
node.ingest: true
node.ml: true
path.data: /data/elasticsearch/data
path.logs: /data/elasticsearch/log
path.repo: ["/data/elasticsearch/backup"]
network.host: 172.25.162.41
http.port: 9200
discovery.seed_hosts: ["172.25.162.36","172.25.162.38","172.25.162.39"]
cluster.initial_master_nodes: ["172.25.162.36","172.25.162.38","172.25.162.39"]


# 172.25.162.44
cluster.name: kp_selection_ksa
node.name: KSSHMW149702
node.master: false
node.data: true
node.ingest: true
node.ml: true
path.data: /data/elasticsearch/data
path.logs: /data/elasticsearch/log
path.repo: ["/data/elasticsearch/backup"]
network.host: 172.25.162.44
http.port: 9200
discovery.seed_hosts: ["172.25.162.36","172.25.162.38","172.25.162.39"]
cluster.initial_master_nodes: ["172.25.162.36","172.25.162.38","172.25.162.39"]



# 172.25.162.46
cluster.name: kp_selection_ksa
node.name: KSSHMW149704
node.master: false
node.data: true
node.ingest: true
node.ml: true
path.data: /data/elasticsearch/data
path.logs: /data/elasticsearch/log
path.repo: ["/data/elasticsearch/backup"]
network.host: 172.25.162.46
http.port: 9200
discovery.seed_hosts: ["172.25.162.36","172.25.162.38","172.25.162.39"]
cluster.initial_master_nodes: ["172.25.162.36","172.25.162.38","172.25.162.39"]

8. ## 【DBA】修改jvm，使用G1,jvm size=16G

# 
vim /etc/elasticsearch/jvm.options

9. ## 【DBA】安装插件

# IK 分词器
/usr/share/elasticsearch/bin/elasticsearch-plugin install file:///root/elasticsearch-analysis-ik-7.7.1.zip

10. ## 【DBA】启动ES集群

# 
systemctl restart elasticsearch
# 
systemctl start elasticsearch


# 
systemctl enable elasticsearch

11. ## 【DBA】验证

# 
curl http://172.25.162.36:9200/_cat/nodes?v

# 
curl http://172.25.162.36:9200/_cat/plugins?v

# 
curl http://172.25.162.36:9200/_cluster/health?pretty

# 

12. ## 【开发】执行同步job，将数据导入新集群

13. 【开发】等待开发验证

14. 【TSC】启动应用

15. 【TSC】引流

16. 完成

五、回滚方案

1. 停止升级动作

2. 恢复原版本的ES服务，并且恢复ES集群

六、补充