docker 快速部署ES集群 spark集群

2022-06-24 09:59:03

1) 拉下来 ES集群 spark集群两套快速部署环境，并只用docker跑起来，并保存到私库。

2）弄清楚怎么样打包 linux镜像（或者说制作）。

3）试着改一下，让它们跑在集群里面。

4) 弄清楚

Dockerfile 怎么制作镜像

docker-compose 里面的启动项及与 mesos里面怎么对应起来。

5）写一个spack程序

及在ES环境里造少量数据查一下。

ES 环境docker :参考贴子来跑的，https://cloud.tencent.com/developer/article/1098820

记录下主要步骤：

1）拉镜像到私库

2）内网虚拟机环境，禁用其它服务没有就跳过，ip修改，免密，等。

systemctl disable mesos-slave

systemctl stop mesos-slave

systemctl disable zookeeper

systemctl stop zookeeper

systemctl disable mesos-master

systemctl stop mesos-master

systemctl disable marathon

systemctl stop marathon

systemctl enable docker

systemctl start docker

systemctl daemon-reload

systemctl restart docker

3）从私库拉镜象，不需要每个全拉下来，拉对应的。

docker pull 192.168.1.153:31809/kafka.new.es

docker pull 192.168.1.153:31809/zookeeper.new.es

docker pull 192.168.1.153:31809/elastic/elasticsearch:5.6.8.new.es

docker pull 192.168.1.153:31809/elastic/kibana:5.6.8.new.es

docker pull 192.168.1.153:31809/elastic/logstash:5.6.8.new.es

docker pull 192.168.1.153:31809/elastic/elasticsearch:5.6.8.new.es

4）

写脚本主要有 cp.test.sh 和 docker.run.sh

cp.test.sh 主要是测试脚本流程及处理免密登陆第一次时需要输入yes问题

4.1

将 cp.test.sh 放在任意一台，将自己发送给所有节点，在每台这样操作，输入yes.

再发一次确保没漏

4.2

执行 docker.run.sh 启动容器

docker.run.sh主要做和三件事

1）将自己发给其它节点

2）处理自己相关docker 的启动

3）通过ssh 向其它节点发送命令在其它节点执行 docker.run.sh(当然这时根据参数是不会再次shh其它节点)

总之就是 docker.run.sh 将会停止和删除所有节点中原来的所有容器，并且启动该启动的容器。

另外附上相关操作脚本。

ip有修改

  -------------------公共库---------------------------------------

docker pull jenkins

docker tag jenkins 192.168.1.153:/jenkins:latest

docker push 192.168.1.153:/jenkins:latest

docker rmi jenkins

docker rmi 192.168.1.153:/jenkins

docker pull mysql

docker tag mysql 192.168.1.153:/mysql:latest

docker push 192.168.1.153:/mysql:latest

docker rmi mysql

docker rmi 192.168.1.153:/mysql

docker pull tomcat

docker tag tomcat 192.168.1.153:/tomcat:latest

docker push 192.168.1.153:/tomcat:latest

docker rmi tomcat

docker rmi 192.168.1.153:/tomcat

docker pull maven

docker tag maven 192.168.1.153:/maven:latest

docker push 192.168.1.153:/maven:latest

docker rmi maven

docker rmi 192.168.1.153:/maven

  -------------------公共库---------------------------------------

  -----------------快速部署ES集群.txt--------------------------

    https://cloud.tencent.com/developer/article/1098820

docker pull zookeeper

docker tag zookeeper 192.168.1.153:/zookeeper.new.es

docker push 192.168.1.153:/zookeeper.new.es

docker rmi zookeeper

docker rmi 192.168.1.153:/zookeeper.new.es

docker pull wurstmeister/kafka

docker tag wurstmeister/kafka  192.168.1.153:/kafka.new.es

docker push  192.168.1.153:/kafka.new.es

docker rmi wurstmeister/kafka

docker rmi 192.168.1.153:/kafka.new.es

docker pull docker.elastic.co/elasticsearch/elasticsearch:5.6.

docker tag docker.elastic.co/elasticsearch/elasticsearch:5.6. 192.168.1.153:/elastic/elasticsearch:5.6..new.es

docker push 192.168.1.153:/elastic/elasticsearch:5.6..new.es

docker rmi docker.elastic.co/elasticsearch/elasticsearch:5.6.

docker rmi 192.168.1.153:/elastic/elasticsearch:5.6..new.es

docker pull docker.elastic.co/kibana/kibana:5.6.

docker tag docker.elastic.co/kibana/kibana:5.6. 192.168.1.153:/elastic/kibana:5.6..new.es

docker push 192.168.1.153:/elastic/kibana:5.6..new.es

docker rmi  docker.elastic.co/kibana/kibana:5.6.

docker rmi 192.168...:/elastic/kibana:5.6..new.es

docker pull docker.elastic.co/logstash/logstash:5.6.

docker tag docker.elastic.co/logstash/logstash:5.6. 192.168.1.153:/elastic/logstash:5.6..new.es

docker push 192.168.1.153:/elastic/logstash:5.6..new.es

docker rmi  docker.elastic.co/logstash/logstash:5.6.

docker rmi 192.168.1.153:/elastic/logstash:5.6..new.es

  -----------------快速部署ES集群.txt------------------------------

 -----------------spark:.2镜像--------------------------

 https://www.cnblogs.com/hongdada/p/9475406.html

docker pull singularities/spark

docker tag singularities/spark 192.168.1.153:/singularities/spark

docker push 192.168.1.153:/singularities/spark

docker rmi singularities/spark

docker rmi 192.168.1.153:/singularities/spark

----------------- spark:.2镜像------------------------------

-----------------centos7 镜像--------------------------
https://www.jianshu.com/p/4801bb7ab9e0
docker tag 7 192.168.1.153:31809/centos7
docker push 192.168.1.153:31809/centos7
docker rmi 7
docker rmi 192.168.1.153:31809/centos7
----------------- centos7 镜像------------------------------

-----------------singularities/hadoop 2.8 镜像--------------------------
https://www.jianshu.com/p/4801bb7ab9e0
docker tag singularities/hadoop:2.8 192.168.1.153:31809/singularities/hadoop.2.8
docker push 192.168.1.153:31809/singularities/hadoop.2.8
docker rmi singularities/hadoop:2.8
docker rmi 192.168.1.153:31809/singularities/hadoop.2.8
----------------- singularities/hadoop 2.8 镜像 ------------------------------


--docker images

--查看库

curl -X GET http://192.168.1.153:31809/v2/_catalog {"repositories":["nginx"]}

--查看库

curl -X GET http://192.168.1.153:31809/v2/_catalog  {"name":"nginx","tags":["latest"]}

免密登陆测试脚本

cp.test.sh

flag=$1

getip()

{

   ifconfig|grep 192|awk '{print $2}'

}  

ip=`getip`

echo "salf IP:" $ip

cpToOtherVM()

{

    if [[ "${flag}" == "y" ]]; then  

             if [[ "${ip}" != "$1" ]]; then  

                scp -r /z-hl-c53cc450-62bf-4b65-b7f2-432e2aae9c62-v5.json $1:/

             fi

    fi

}

execOtherVmShell()

{

    if [[ "${flag}" == "y" ]]; then  

        if [[ "${ip}" != "$1" ]]; then 

           ssh root@$1 "sh /cp.test.sh"

        fi

    fi

}

echo "copy to"

cpToOtherVM "192.168.1.100"

cpToOtherVM "192.168.1.101"

cpToOtherVM "192.168.1.102"

sleep 1

cpToOtherVM "192.168.1.110"

cpToOtherVM "192.168.1.111"

cpToOtherVM "192.168.1.112"

sleep 1

cpToOtherVM "192.168.1.120"

cpToOtherVM "192.168.1.121"

cpToOtherVM "192.168.1.122"

cpToOtherVM "192.168.1.123"

sleep 3

echo "exec other"

execOtherVmShell "192.168.1.100"

execOtherVmShell "192.168.1.101"

execOtherVmShell "192.168.1.102"

execOtherVmShell "192.168.1.110"

execOtherVmShell "192.168.1.111"

execOtherVmShell "192.168.1.112"

execOtherVmShell "192.168.1.120"

execOtherVmShell "192.168.1.121"

execOtherVmShell "192.168.1.122"

execOtherVmShell "192.168.1.123"

echo "exec salf action"

运行容器脚本

docker.run.sh

[root@docker-master3 /]# cat docker.run.sh 

flag=$1

getip()

{

   ifconfig|grep 192|awk '{print $2}'

}

ip=`getip`

echo "salf IP:" $ip

cpToOtherVM()

{

    if [[ "${flag}" == "y" ]]; then

             if [[ "${ip}" != "$1" ]]; then

                scp -r /etc/sysctl.conf $1:/etc/sysctl.conf

                scp -r /docker.run.sh $1:/docker.run.sh

             fi

    fi

}

execOtherVmShell()

{

    if [[ "${flag}" == "y" ]]; then

        if [[ "${ip}" != "$1" ]]; then

           ssh root@$1 "docker ps -a |grep 192.168.1. |awk -F ' ' '{print $1}'| xargs -i docker kill {}"

           echo "stop all docker"

           sleep 2

           ssh root@$1 "docker ps -a |grep 192.168.1. |awk -F ' ' '{print $1}'| xargs -i docker rm {}"

           echo "rm all docker"

           sleep 5

           ssh root@$1 "sh /docker.run.sh"

        fi

    fi

}

echo "copy to"

cpToOtherVM "192.168.1.100"

cpToOtherVM "192.168.1.101"

cpToOtherVM "192.168.1.102"

sleep 1

cpToOtherVM "192.168.1.110"

cpToOtherVM "192.168.1.111"

cpToOtherVM "192.168.1.112"

sleep 1

cpToOtherVM "192.168.1.120"

cpToOtherVM "192.168.1.121"

cpToOtherVM "192.168.1.122"

cpToOtherVM "192.168.1.123"

sleep 1

echo "exec salf action"

docker ps -a |grep 192.168.1. |awk -F ' ' '{print $1}'| xargs -i docker kill {}

sleep 2

docker ps -a |grep 192.168.1. |awk -F ' ' '{print $1}'| xargs -i docker rm {}

sleep 3

function runZookeeper()

{

echo "exec runZookeeper" $1 $2

# 启动

docker run --name zookeeper \

  --net=host \

  --restart always \

  -v /data/zookeeper:/data/zookeeper \

  -e ZOO_PORT=2181 \

  -e ZOO_DATA_DIR=/data/zookeeper/data \

  -e ZOO_DATA_LOG_DIR=/data/zookeeper/logs \

  -e ZOO_MY_ID=$2 \

  -e ZOO_SERVERS="server.1=192.168.1.100:2888:3888 server.2=192.168.1.101:2888:3888 server.3=192.168.1.102:2888:3888" \

  -d 192.168.1.153:31809/zookeeper.new.es

           sleep 2

}

function runKafka()

{

          echo "exec runKafka" $1 $2

# 机器有11块盘，这里都用起来

mkdir -p /data{1..11}/kafka

# 启动

docker run --name kafka \

        --net=host \

        --volume /data1:/data1 \

        --volume /data2:/data2 \

        --volume /data3:/data3 \

        --volume /data4:/data4 \

        --volume /data5:/data5 \

        --volume /data6:/data6 \

        --volume /data7:/data7 \

        --volume /data8:/data8 \

        --volume /data9:/data9 \

        --volume /data10:/data10 \

        --volume /data11:/data11 \

        -e KAFKA_BROKER_ID=$2 \

        -e KAFKA_PORT=9092 \

        -e KAFKA_HEAP_OPTS="-Xms8g -Xmx8g" \

        -e KAFKA_HOST_NAME=$1 \

        -e KAFKA_ADVERTISED_HOST_NAME=$1 \

        -e KAFKA_LOG_DIRS=/data1/kafka,/data2/kafka,/data3/kafka,/data4/kafka,/data5/kafka,/data6/kafka,/data7/kafka,/data8/kafka,/data9/kafka,/data10/kafka,/data11/kafka \

        -e KAFKA_ZOOKEEPER_CONNECT="192.168.1.100:2181,192.168.1.101:2181,192.168.1.102:2181" \

        -d 192.168.1.153:31809/kafka.new.es

           sleep 2

}

function runMaster()

{

echo "exec runMaster" $1 $2

#!/bin/bash

# 删除已退出的同名容器

#docker ps -a | grep es_master |egrep "Exited|Created" | awk '{print $1}'|xargs -i% docker rm -f % 2>/dev/null

# 启动

docker run --name es_master \

        -d --net=host \

        --restart=always \

        --privileged=true \

        --ulimit nofile=655350 \

        --ulimit memlock=-1 \

        --memory=1G \

        --memory-swap=-1 \

        --cpus=0.5 \

        --volume /data:/data \

        --volume /etc/localtime:/etc/localtime \

        -e TERM=dumb \

        -e ES_JAVA_OPTS="-Xms8g -Xmx8g" \

        -e cluster.name="iyunwei" \

        -e node.name="MASTER-"$2 \

        -e node.master=true \

        -e node.data=false \

        -e node.ingest=false \

        -e node.attr.rack="0402-K03" \

        -e discovery.zen.ping.unicast.hosts="192.168.1.110:9301,192.168.1.111:9301,192.168.1.112:9301,192.168.1.110:9300,192.168.1.112:9300,192.168.1.113:9300,192.168.1.120:9300,192.168.1.121:9300,192.168.1.122:9300,192.168.1.123:9300" \

        -e discovery.zen.minimum_master_nodes=2 \

        -e gateway.recover_after_nodes=5 \

        -e network.host=0.0.0.0 \

        -e transport.tcp.port=9301 \

        -e http.port=9201 \

        -e path.data="/data/iyunwei/master" \

        -e path.logs=/data/elastic/logs \

        -e bootstrap.memory_lock=true \

        -e bootstrap.system_call_filter=false \

        -e indices.fielddata.cache.size="25%" \

        192.168.1.153:31809/elastic/elasticsearch:5.6.8.new.es

           sleep 2

} 

function runClient()

{

echo "exec runClient" $1 $2

#!/bin/bash

#docker ps -a | grep es_client |egrep "Exited|Created" | awk '{print $1}'|xargs -i% docker rm -f % 2>/dev/null

docker run --name es_client \

        -d --net=host \

        --restart=always \

        --privileged=true \

        --ulimit nofile=655350 \

        --ulimit memlock=-1 \

        --memory=1G \

        --memory-swap=-1 \

        --cpus=0.5 \

        --volume /data:/data \

        --volume /etc/localtime:/etc/localtime \

        -e TERM=dumb \

        -e ES_JAVA_OPTS="-Xms31g -Xmx31g" \

        -e cluster.name="iyunwei" \

        -e node.name="CLIENT-"$2 \

        -e node.master=false \

        -e node.data=false \

        -e node.attr.rack="0402-K03" \

        -e discovery.zen.ping.unicast.hosts="192.168.1.110:9301,192.168.1.111:9301,192.168.1.112:9301,192.168.1.110:9300,192.168.1.112:9300,192.168.1.113:9300,192.168.1.120:9300,192.168.1.121:9300,192.168.1.122:9300,192.168.1.123:9300" \

        -e discovery.zen.minimum_master_nodes=2 \

        -e gateway.recover_after_nodes=2 \

        -e network.host=0.0.0.0 \

        -e transport.tcp.port=9300 \

        -e http.port=9200 \

        -e path.data="/data/iyunwei/client" \

        -e path.logs=/data/elastic/logs \

        -e bootstrap.memory_lock=true \

        -e bootstrap.system_call_filter=false \

        -e indices.fielddata.cache.size="25%" \

        192.168.1.153:31809/elastic/elasticsearch:5.6.8.new.es

           sleep 2

} 

function runDATA ()

{

echo "exec runDATA" $1 $2

#!/bin/bash

#docker ps -a | grep es_data |egrep "Exited|Created" | awk '{print $1}'|xargs -i% docker rm -f % 2>/dev/null

docker run --name es_data \

        -d --net=host \

        --restart=always \

        --privileged \

        --ulimit nofile=655350 \

        --ulimit memlock=-1 \

        --volume /data:/data \

        --volume /data1:/data1 \

        --volume /data2:/data2 \

        --volume /data3:/data3 \

        --volume /data4:/data4 \

        --volume /data5:/data5 \

        --volume /data6:/data6 \

        --volume /data7:/data7 \

        --volume /data8:/data8 \

        --volume /data9:/data9 \

        --volume /data10:/data10 \

        --volume /data11:/data11 \

        --volume /etc/localtime:/etc/localtime \

        --ulimit memlock=-1 \

        -e TERM=dumb \

        -e ES_JAVA_OPTS="-Xms31g -Xmx31g" \

        -e cluster.name="iyunwei" \

        -e node.name="DATA-"$2 \

        -e node.master=false \

        -e node.data=true \

        -e node.ingest=false \

        -e node.attr.rack="0402-Q06" \

        -e discovery.zen.ping.unicast.hosts="192.168.1.110:9301,192.168.1.111:9301,192.168.1.112:9301,192.168.1.110:9300,192.168.1.112:9300,192.168.1.113:9300,192.168.1.120:9300,192.168.1.121:9300,192.168.1.122:9300,192.168.1.123:9300" \

        -e discovery.zen.minimum_master_nodes=2 \

        -e gateway.recover_after_nodes=2 \

        -e network.host=0.0.0.0 \

        -e http.port=9200 \

        -e path.data="/data1/iyunwei/data,/data2/iyunwei/data,/data3/iyunwei/data,/data4/iyunwei/data,/data5/iyunwei/data,/data6/iyunwei/data,/data7/iyunwei/data,/data8/iyunwei/data,/data9/iyunwei/data,/data10/iyunwei/data,/data11/iyunwei/data,/data12/iyunwei/data" \

        -e path.logs=/data/elastic/logs \

        -e bootstrap.memory_lock=true \

        -e bootstrap.system_call_filter=false \

        -e indices.fielddata.cache.size="25%" \

        192.168.1.153:31809/elastic/elasticsearch:5.6.8.new.es

           sleep 2

} 

function runKibana()

{

echo "exec runKibana" $1 $2

#!/bin/bash

#docker ps -a | grep kibana | egrep "Exited|Create" | awk '{print $1}'|xargs -i% docker rm -f % 2>/dev/null

docker run --name kibana \

        --restart=always \

        -d --net=host \

        -v /data:/data \

        -v /etc/localtime:/etc/localtime \

        --privileged \

        -e TERM=dumb \

        -e SERVER_HOST=0.0.0.0 \

        -e SERVER_PORT=5601 \

        -e SERVER_NAME=Kibana-$2 \

        -e ELASTICSEARCH_URL=http://localhost:9200 \

        -e ELASTICSEARCH_USERNAME=elastic \

        -e ELASTICSEARCH_PASSWORD=changeme \

        -e XPACK_MONITORING_UI_CONTAINER_ELASTICSEARCH_ENABLED=false \

        -e LOG_FILE=/data/elastic/logs/kibana.log \

        192.168.1.153:31809/elastic/kibana:5.6.8.new.es

           sleep 2

} 

function runLogstash()

{

 echo "exec runLogstash" $1 $2

#!/bin/bash

#docker ps -a | grep logstash |egrep "Exited|Created" | awk '{print $1}'|xargs -i% docker rm -f % 2>/dev/null

docker run --name logstash \

        -d --net=host \

        --restart=always \

        --privileged \

        --ulimit nofile=655350 \

        --ulimit memlock=-1 \

        -e ES_JAVA_OPTS="-Xms16g -Xmx16g" \

        -e TERM=dumb \

        --volume /etc/localtime:/etc/localtime \

        --volume /data/elastic/config:/usr/share/logstash/config \

        --volume /data/elastic/config/pipeline:/usr/share/logstash/pipeline \

        --volume /data/elastic/logs:/usr/share/logstash/logs \

        192.168.1.153:31809/elastic/logstash:5.6.8.new.es

           sleep 2

} 

function cfgkafka()

{

        if [[ "${ip}" = "$1" ]]; then

         echo "exec cfgkafka" $1 $2

           mkdir -p /data/zookeeper  

       runZookeeper $1 $2 

       runKafka $1 $2

    fi

}

function cfgMaster()

{

        if [[ "${ip}" = "$1" ]]; then

           echo "exec cfgMaster" $1 $2

              mkdir -p /data/iyunwei/master

          chown -R 1000:1000 /data/iyunwei

                  mkdir -p /data/iyunwei/client

          chown -R 1000:1000 /data/iyunwei

                  runMaster $1 $2

                  runClient $1 $2

                  runKibana $1 $2

                  runLogstash $1 $2

    fi

}

function cfgDATA()

{

        if [[ "${ip}" = "$1" ]]; then

           echo "exec cfgDATA" $1 $2 

              mkdir -p /data{1..12}/iyunwei/data

          chown -R 1000:1000 /data{1..12}/iyunwei

              runDATA $1 $2

    fi

}

index=0

for kafkaClusterIP in "192.168.1.100"  "192.168.1.101" "192.168.1.102"

do 

  index=$(($index+1))   

  echo "cfgkafka" $kafkaClusterIP $index   

  cfgkafka  $kafkaClusterIP $index 

done

#Master

MasterIndex=0

for MasterIP in in "192.168.1.110"  "192.168.1.111" "192.168.1.112"

do 

  MasterIndex=$(($MasterIndex+1))   

  echo "cfgMaster" $MasterIP $MasterIndex 

  cfgMaster $MasterIP $MasterIndex 

done

#DATA

DATAIndex=0

for DATAIP in "192.168.1.120"  "192.168.1.121" "192.168.1.122" "192.168.1.123"

do

  DATAIndex=$(($DATAIndex+1)) 

  echo "cfgDATA" $DATAIP  $DATAIndex

  cfgDATA $DATAIP $DATAIndex

done

sleep 3

echo "exec other vm action"

execOtherVmShell "192.168.1.100"

execOtherVmShell "192.168.1.101"

execOtherVmShell "192.168.1.102"

execOtherVmShell "192.168.1.110"

execOtherVmShell "192.168.1.111"

execOtherVmShell "192.168.1.112" 

execOtherVmShell "192.168.1.120"

execOtherVmShell "192.168.1.121"

execOtherVmShell "192.168.1.122"

execOtherVmShell "192.168.1.123" 

curl -XPUT http://192.168.1.111:9200/_license?acknowledge=true -d @z-hl-c53cc450-62bf-4b65-b7f2-432e2aae9c62-v5.json -uelastic:changeme

内核参数 cat /etc/sysctl.conf

vm.max_map_count = 655360
vm.swappiness = 1

ip:规划与原贴不同

为保证通信方便，不组建复杂网络环境，全部放在同一网段。

192.168.1.100-102 相同为kafka

192.168.1.110-112 对应 192.168.2.100-102

192.168.1.120-123 对应 192.168.3.100-103

现在，容器布署成功

kafka镜像配置文件有权限问题

es-master主面kibana 可访问但登不进云

http://192.168.1.110:5601/login?next=%2F#?_g=()

应该是没有注册的问题

     curl 命令注册时端口不能访问，需要看一下

   容器 ps -a 全部者在

   容器 ps kafka没有运行

 因为ip和原镜像的ip不一样，有可能要进入容器里面去拿配置文件，修改对应ip
   拿出来后还要重新打镜象才行，目前不了解要哪些配置要改

127.0.0.1   localhost localhost.localdomain localhost4 localhost4.localdomain4

::1         localhost localhost.localdomain localhost6 localhost6.localdomain6

192.168.1.151    docker-slave1    docker-slave1.com

192.168.1.152    docker-slave2    docker-slave2.com

192.168.1.153    docker-slave3    docker-slave3.com

192.168.1.161    docker-master1    docker-master1.com

192.168.1.162    docker-master2    docker-master3.com

192.168.1.163    docker-master3    docker-master3.com

192.168.1.110    es-master1    es-master1.com

192.168.1.111    es-master2    es-master2.com

192.168.1.112    es-master3    es-master3.com

192.168.1.110    es-kafka1    es-kafka1.com

192.168.1.101    es-kafka2    es-kafka2.com

192.168.1.102    es-kafka3    es-kafka3.com

192.168.1.120    es-data1    es-data1.com

192.168.1.121    es-data2    es-data2.com

192.168.1.122    es-data3    es-data3.com

192.168.1.124    es-data4    es-data4.com

码农公寓

相关文章