Mobile Menu Will Come Here.
隐藏
柏港 SolrCloud

docker部署SolrCloud集群

发布：2022/6/21 20:33:37作者：管理员 来源：本站 浏览次数：998

使用docker部署solr以及solr使用的zookeeper

SolrCloud(solr 云)是Solr提供的分布式搜索方案，当你需要大规模，容错，分布式索引和检索能力时使用 SolrCloud。当一个系统的索引数据量少的时候是不需要使用SolrCloud的，当索引量很大，搜索请求并发很高，这时需要使用SolrCloud来满足这些需求。

SolrCloud是基于Solr和Zookeeper的分布式搜索方案，它的主要思想是使用Zookeeper作为集群的配置信息中心。
部署solr使用的zookeeper集群

三台机器
192.168.100.44
192.168.100.45
192.168.100.46


192.168.100.44操作
[root@localhost ~]# cd /opt/
[root@localhost opt]# mkdir -p docker-data/solr-zk
[root@localhost opt]# cd docker-data/solr-zk
[root@localhost solr-zk]# mkdir {conf,data,datalog}
[root@localhost solr-zk]# cd conf
[root@localhost conf]# vim zoo.cfg
dataDir=/data
dataLogDir=/datalog
clientPort=2181
tickTime=2000
initLimit=5
syncLimit=2
autopurge.snapRetainCount=3
autopurge.purgeInterval=0
maxClientCnxns=60
standaloneEnabled=true
admin.enableServer=false
server.1=0.0.0.0:2888:3888
server.2=192.168.100.45:12888:13888
server.3=192.168.100.46:12888:13888

[root@localhost conf]# cd ..
[root@localhost solr-zk]# vim run.sh
需要在zk的data目录下手动创建myid文件
docker run -d \
-p 12181:2181 \
-p 12888:2888 \
-p 13888:3888 \
--restart=always \
-v /opt/docker-data/solr-zk/data/:/data/ \
-v /opt/docker-data/solr-zk/datalog/:/datalog/ \
-v /opt/docker-data/solr-zk/conf/zoo.cfg:/conf/zoo.cfg \
-v /etc/localtime:/etc/localtime:ro \
--name solr-zk-100.44 \
-h 192.168.100.44 \
zookeeper:3.4.14

[root@localhost solr-zk]# echo 1 > data/myid


192.168.100.45操作
[root@localhost ~]# cd /opt/
[root@localhost opt]# mkdir -p docker-data/solr-zk
[root@localhost opt]# cd docker-data/solr-zk
[root@localhost solr-zk]# mkdir {conf,data,datalog}
[root@localhost solr-zk]# cd conf
[root@localhost conf]# vim zoo.cfg
dataDir=/data
dataLogDir=/datalog
clientPort=2181
tickTime=2000
initLimit=5
syncLimit=2
autopurge.snapRetainCount=3
autopurge.purgeInterval=0
maxClientCnxns=60
standaloneEnabled=true
admin.enableServer=false
server.1=192.168.100.44:12888:13888
server.2=0.0.0.0:2888:3888
server.3=192.168.100.46:12888:13888

[root@localhost conf]# cd ..
[root@localhost solr-zk]# vim run.sh
需要在zk的data目录下手动创建myid文件
docker run -d \
-p 12181:2181 \
-p 12888:2888 \
-p 13888:3888 \
--restart=always \
-v /opt/docker-data/solr-zk/data/:/data/ \
-v /opt/docker-data/solr-zk/datalog/:/datalog/ \
-v /opt/docker-data/solr-zk/conf/zoo.cfg:/conf/zoo.cfg \
-v /etc/localtime:/etc/localtime:ro \
--name solr-zk-100.45 \
-h 192.168.100.45 \
zookeeper:3.4.14

[root@localhost solr-zk]# echo 2 > data/myid


192.168.100.46操作
[root@localhost ~]# cd /opt/
[root@localhost opt]# mkdir -p docker-data/solr-zk
[root@localhost opt]# cd docker-data/solr-zk
[root@localhost solr-zk]# mkdir {conf,data,datalog}
[root@localhost solr-zk]# cd conf
[root@localhost conf]# vim zoo.cfg
dataDir=/data
dataLogDir=/datalog
clientPort=2181
tickTime=2000
initLimit=5
syncLimit=2
autopurge.snapRetainCount=3
autopurge.purgeInterval=0
maxClientCnxns=60
standaloneEnabled=true
admin.enableServer=false
server.1=192.168.100.44:12888:13888
server.2=192.168.100.45:12888:13888
server.3=0.0.0.0:2888:3888

[root@localhost conf]# cd ..
[root@localhost solr-zk]# vim run.sh
# 需要在zk的data目录下手动创建myid文件
docker run -d \
-p 12181:2181 \
-p 12888:2888 \
-p 13888:3888 \
--restart=always \
-v /opt/docker-data/solr-zk/data/:/data/ \
-v /opt/docker-data/solr-zk/datalog/:/datalog/ \
-v /opt/docker-data/solr-zk/conf/zoo.cfg:/conf/zoo.cfg \
-v /etc/localtime:/etc/localtime:ro \
--name solr-zk-100.46 \
-h 192.168.100.46 \
zookeeper:3.4.14

[root@localhost solr-zk]# echo 3 > data/myid

  
solr-zk集群部署完毕，接下来部署solr集群
solr-zk集群部署完毕，接下来部署solr集群

192.168.100.44
[root@localhost docker-data]# mkdir solr
[root@localhost docker-data]# cd solr
[root@localhost solr]# docker pull solr    #下载最新版本solr镜像
[root@localhost solr]# mkdir {config,dist,log,solrhome}
[root@localhost solr]# cd config
[root@localhost config]# vim  solr.in.sh
# Increase Java Heap as needed to support your indexing / query needs
SOLR_HEAP="4g"

ZK_HOST="192.168.100.44:12181,192.168.100.45:12181,192.168.100.46:12181"
SOLR_HOST="192.168.100.44"
SOLR_TIMEZONE="UTC+8"
ENABLE_REMOTE_JMX_OPTS="false"
SOLR_OPTS="$SOLR_OPTS -Xss256k"
SOLR_OPTS="$SOLR_OPTS -Dsun.net.inetaddr.ttl=60 -Dsun.net.inetaddr.negative.ttl=60"
SOLR_HOME="/var/solr/data/"
SOLR_LOGS_DIR="/var/solr/logs/"

[root@localhost solr]# vim run.sh
docker run -d \
--restart=always \
-p 8983:8983 \
-l io.rancher.container.network=true \
-v /opt/docker-data/solr/solrhome/:/var/solr/solrhome/ \
-v /opt/docker-data/solr/log/:/var/solr/log/ \
-v /opt/docker-data/solr/dist/:/var/solr/dist/ \
-v /opt/docker-data/solr/config/solr.in.sh:/etc/default/solr.in.sh \
-v /etc/localtime:/etc/localtime:ro \
--name solr-1 \
-h 192.168.100.44 \
solr:latest

 

192.168.100.45
[root@localhost docker-data]# mkdir solr
[root@localhost docker-data]# cd solr
[root@localhost solr]# docker pull solr    #下载最新版本solr镜像
[root@localhost solr]# mkdir {config,dist,log,solrhome}
[root@localhost solr]# cd config
[root@localhost config]# vim  solr.in.sh
# Increase Java Heap as needed to support your indexing / query needs
SOLR_HEAP="4g"

ZK_HOST="192.168.100.44:12181,192.168.100.45:12181,192.168.100.46:12181"
SOLR_HOST="192.168.100.45"
SOLR_TIMEZONE="UTC+8"
ENABLE_REMOTE_JMX_OPTS="false"
SOLR_OPTS="$SOLR_OPTS -Xss256k"
SOLR_OPTS="$SOLR_OPTS -Dsun.net.inetaddr.ttl=60 -Dsun.net.inetaddr.negative.ttl=60"
SOLR_HOME="/var/solr/data/"
SOLR_LOGS_DIR="/var/solr/logs/"

[root@localhost solr]# vim run.sh
docker run -d \
--restart=always \
-p 8983:8983 \
-l io.rancher.container.network=true \
-v /opt/docker-data/solr/solrhome/:/var/solr/solrhome/ \
-v /opt/docker-data/solr/log/:/var/solr/log/ \
-v /opt/docker-data/solr/dist/:/var/solr/dist/ \
-v /opt/docker-data/solr/config/solr.in.sh:/etc/default/solr.in.sh \
-v /etc/localtime:/etc/localtime:ro \
--name solr-2 \
-h 192.168.100.45 \
solr:latest


192.168.100.46
[root@localhost docker-data]# mkdir solr
[root@localhost docker-data]# cd solr
[root@localhost solr]# docker pull solr    #下载最新版本solr镜像
[root@localhost solr]# mkdir {config,dist,log,solrhome}
[root@localhost solr]# cd config
[root@localhost config]# vim  solr.in.sh
# Increase Java Heap as needed to support your indexing / query needs
SOLR_HEAP="4g"

ZK_HOST="192.168.100.44:12181,192.168.100.45:12181,192.168.100.46:12181"
SOLR_HOST="192.168.100.46"
SOLR_TIMEZONE="UTC+8"
ENABLE_REMOTE_JMX_OPTS="false"
SOLR_OPTS="$SOLR_OPTS -Xss256k"
SOLR_OPTS="$SOLR_OPTS -Dsun.net.inetaddr.ttl=60 -Dsun.net.inetaddr.negative.ttl=60"
SOLR_HOME="/var/solr/data/"
SOLR_LOGS_DIR="/var/solr/logs/"

[root@localhost solr]# vim run.sh
docker run -d \
--restart=always \
-p 8983:8983 \
-l io.rancher.container.network=true \
-v /opt/docker-data/solr/solrhome/:/var/solr/solrhome/ \
-v /opt/docker-data/solr/log/:/var/solr/log/ \
-v /opt/docker-data/solr/dist/:/var/solr/dist/ \
-v /opt/docker-data/solr/config/solr.in.sh:/etc/default/solr.in.sh \
-v /etc/localtime:/etc/localtime:ro \
--name solr-3 \
-h 192.168.100.46 \
solr:latest


三台操作
启动solr集群
[root@localhost solr]# sh run.sh #运行启动脚本
[root@localhost solr]# docker ps 查看容器是否启动成功

  

验证
solr集群启动成功浏览器访问ip:8983

  
集群部署完毕
　solr8.9部署solrcloud
solr .Net端(SolrNet)　

柏港为您推荐了一些相关资讯

Java Web项目在集群中部署并实现负载均衡 netcore ocelot docker consul集群相关资料参考 将ASP.NET Core Web API项目部署到Docker容器 .Net6 Web API 部署到linux服务器（docker） Net Core 微服务 - 基于Windows 10 的Docker+Jenkins实现自动化部署.Net Core Web Api 项目 Solr集群（即SolrCloud）搭建与使用 SolrCloud(Solr云)----分布式与集群 docker部署SolrCloud集群 solr8.9部署solrcloud 搭建SolrCloud集群、上传配置文件到ZooKeeper时报错：Could not find or load main class org.apache.solr.cloud.ZkCLI

© Copyright 2014 - 2024 柏港建站平台 ejk5.com. 渝ICP备16000791号-4