淡淡回忆 发表于 2019-1-28 08:59:27

ELK配置总结

  在经过了近半个月的ELK环境的搭建配置,我做了我个人的工作总结,和大家分享一下。

  

  一、命令总结
  

  1.1、Es服务端口查看
  # netstat -nlpt | grep -E"9200|9300"
  

  1.2、Es插件安装和移除
  # ./bin/plugin install file:///home/apps/license-2.3.3.zip
  # ./bin/plugin install file:///home/apps/marvel-agent-2.3.3.zip
  

  es移除插件
  /usr/local/elasticsearch # ./bin/pluginremove plugins/marvel-agent
  /usr/local/elasticsearch # ./bin/pluginremove plugins/license
  

  

  1.3、Kibana插件安装和移除
  /usr/local/kibana # ./bin/kibana plugin--install marvel --url file:///home/apps/marvel-2.3.3.tar.gz
  
  移除插件
  ./bin/kibana plugin --remove marvel
  

  1.4、logstash检查文件是否有错误
  /usr/local/logstash/etc # ../bin/logstash-f logstash.conf--configtest --verbose
  (显示“Configuration OK”说明没有问题)
  

  1.5、启动logstash
  /usr/local/logstash/etc # ../bin/logstash-f logstash.conf
  

  1.6、验证es服务
  #curl -XGET ES-NODE-IP:9200
  

  1.7、查看es集群状态
  # curl -XGET ES-NODE-IP:9200/_cluster/health?pretty=true
  

  1.8、添加和删除es索引,nginx-logs为索引名

  curl -XPUT http://ES-NODE-IP:9200/nginx-logs/
  
  删除es索引
  curl -XDELETE http://ES-NODE-IP:9200/nginx-logs/
  

  1.9验证head插件

  http://ES-NODE-IP:9200/_plugin/head/
  
  1.10、创建elasticsearch账户
  # groupadd esuser
  # useradd -d /home/esuser -m esuser
  
  # passwd esuser
  

  1.11查看kafka服务启动状态
  # jps
  9536 Main
  15200 Jps
  14647 Kafka
  8760 Elasticsearch
  21177 -- process information unavailable
  14316 QuorumPeerMain
  5791 QuorumPeerMain
  

  1.12、查看kafka端口状态
  # netstat -nlpt | grep -E"2181|3888"
  tcp       0      0 :::2181               :::*            LISTEN      14316/java         
  tcp       0      0 192.168.1.105:3888   :::*            LISTEN      5791/java
  

  1.13、创建、删除、列出主题(topic)
  创建主题(topic)
  /usr/local/kafka # bin/kafka-topics.sh--create --zookeeper localhost:2181 --replication-factor 1 --partitions 1--topic test
  Created topic "test".
  

  删除主题(topic)
  /usr/local/kafka # ./bin/kafka-topics.sh--delete --zookeeper 182.180.50.211:2181 --topic nginx-messages
  
  列出所有的topic
  /usr/local/kafka # bin/kafka-topics.sh--list --zookeeper localhost:2181
  Test
  
  显示topic的详细信息
  /usr/local/kafka # bin/kafka-topics.sh --describe--zookeeper localhost:218
  

  1.14、kafka创建生产者和消费者
  创建生产者
  /usr/local/kafka #bin/kafka-console-producer.sh --broker-list localhost:9092--topic test
  This is a message
  
  创建消费者
  /usr/local/kafka #bin/kafka-console-consumer.sh --zookeeperlocalhost:2181 --topic test --from-beginning
  This is a message
  

  如果向上边的可以收到来自生产者的消息,就说明基于kafka的zookeeper环境配置好了。
  

  1.15、测试日志文件的数据传输
  # cp /var/log/messages /home
  # >/var/log/messages
  # echo "hello kibana aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa">> /var/log/messages
  

  1.16、重新加载nginx配置文件
  # ./nginx -s reload
  

  二、配置汇总
  2.1、Java环境配置
  # vi /etc/profile
  export PATH=$PATH:/soft_ins/mysql/bin
  JAVA_HOME=/usr/local/jdk1.8.0_101
  PATH=$JAVA_HOME/bin:$PATH
  CLASSPATH=$JAVA_HOME/jre/lib/ext:$JAVA_HOME/lib/tools.jar
  export PATH JAVA_HOME CLASSPATH
  
  # source /etc/profile
  
  # java -version
  java version "1.8.0_101"
  Java(TM) SE Runtime Environment (build1.8.0_101-b13)
  Java HotSpot(TM) 64-Bit Server VM (build25.101-b13, mixed mode)
  

  2.2、es配置
  # vi config/elasticsearch.yml
  cluster.name: es_cluster
  node.name: node3
  path.data: /usr/local/elasticsearch/data
  path.logs: /usr/local/elasticsearch/logs
  network.host: 192.168.1.103
  http.port: 9200
  discovery.zen.ping.unicast.hosts:["192.168.1.103","192.168.1.104","192.168.1.105"]
  
  说明:
  discovery.zen.ping.unicast.hosts:["192.168.1.103","192.168.1.104","192.168.1.105"]是es集群的说明,如果是单各es节点的话就没必要配置这个。
  

  2.3、kibana配置
  # vi /usr/local/kibana/config/kibana.yml
  server.port: 5601
  
  host: "192.168.1.103"
  elasticsearch_url: http://192.168.1.103:9200,192.168.1.104:9200,192.168.1.105:9200
  
  说明:
  elasticsearch_url: http://192.168.1.103:9200,192.168.1.104:9200,192.168.1.105:9200也是只想的es集群,如果是单台则只需配置单个es节点。
  

  2.4、kafka和zookeeper非分离的配置
  单个kafka&zookeeper节点
  /usr/local/kafka # vi config/zookeeper.properties
  dataDir=/usr/local/kafka/tmp/zookeeper
  
  /usr/local/kafka # viconfig/server.properties
  log.dirs=/usr/local/kafka/tmp/kafka-logs
  
  Zookeepe集群配置
  # vi config/zookeeper.properties
  dataDir=/usr/local/kafka/tmp/zookeeper
  initLimit=5
  syncLimit=2
  server.2=192.168.1.101:2888:3888
  server.3=192.168.1.102:2888:3888
  server.4=192.168.1.103:2888:3888
  

  kafka集群:
  /usr/local/kafka # viconfig/server.properties
  broker.id=2
  prot=9092
  host.name=192.168.1.101
  log.dirs=/usr/local/kafka/tmp/kafka-logs
  num.partitions=16
  zookeeper.connect=192.168.1.101:2181,192.168.1.102:2181,192.168.1.103:2181
  注意其他两个节点broker.id分别是3和4,,host.name也按实际的配置
  
  启动zookeeper服务
  /usr/local/kafka #./bin/zookeeper-server-start.sh config/zookeeper.properties
  

  启动kafka服务
  /usr/local/kafka #./bin/kafka-server-start.sh config/server.properties
  

  2.5、kafka和zookeeper分离的配置
  Zookeeper的配置:
  生成zookeeper配置文件
  # cd zookeeper/conf
  # cp zoo_sample.cfg zoo.cfg
  
  编辑配置文件
  # vi zoo.cfg
  dataDir=/usr/local/zookeeper/tmp/zookeeper
  server.1=192.168.1.101:2888:3888
  server.2=192.168.1.102:2888:3888
  server.3=192.168.1.103:2888:3888
  
  # cd ..
  # mkdir -p tmp/zookeeper
  # echo "1" >tmp/zookeeper/myid
  
  配置node2和node3的zookeeper
  依照node1的配置配置node2和node3,注意下面的参数三个节点各有差异
  Node2:
  # echo "2" >tmp/zookeeper/myid
  
  Node3:
  # echo "3" >tmp/zookeeper/myid
  
  其他配置都一样
  
  依次启动三个节点的服务
  # ./bin/zkServer.sh start conf/zoo.cfg
  
  Kafka的配置:
  配置node1的kafka
  # cd ../kafka
  # vi config/server.properties
  broker.id=0
  port=9092
  host.name=x-shcs-creditcard-v01
  log.dirs=/usr/local/kafka/tmp/kafka-logs
  num.partitions=2
  zookeeper.connect=192.168.1.101:2181,192.168.1.102:2181,192.168.1.103:2181
  
  配置Node2和node3的kafka
  依照node1的配置配置node2和node3,注意下面的参数三个节点各有差异
  Node2:
  broker.id=1
  host.name=node2
  
  node3:
  broker.id=:2
  host.name=node3
  
  说明:
  host.name是节点的主机名
  
  依次启动三个节点的kafka
  # ./bin/kafka-server-start config/server.properties
  

  三、问题汇总
  3.1、marvel插件安装出错
  node3:/usr/local/elasticsearch# ./bin/plugin install file:///home/apps/license-2.3.3.zip
  -> Installing fromfile:/home/apps/license-2.3.3.zip...
  Trying file:/home/apps/license-2.3.3.zip...
  Downloading .DONE
  Verifying file:/home/apps/license-2.3.3.zipchecksums if available ...
  NOTE: Unable to verify checksum fordownloaded plugin (unable to find .sha1 or .md5 file to verify)
  ERROR: Plugin is incompatiblewith Elasticsearch . Was designed for version
  
  插件版本和ES版本不兼容,换为2.3.3版本的插件就没有问题了。
  

  3.2、启动es服务出错
  

  /usr/local/elasticsearch>./bin/elasticsearch
  log4j:ERROR setFile(null,true) call failed.
  java.io.FileNotFoundException:/usr/local/elasticsearch/logs/es_cluster.log (Permission denied)
  
  文件权限的问题,es服务启动需要切换到非root用户,而该用户没有访问/usr/local/elasticsearch/logs/es_cluster.log的权限。
  
  修改文件权限就好了
  # chown -R esuser:esuser/usr/local/elasticsearch/data/
  # chown -R esuser:esuser/usr/local/elasticsearch/logs
  

  3.3、kibana版本不兼容
  # ./bin/kibana
  
  {"name":"Kibana","hostname":"node3","pid":20969,"level":50,"err":{"message":"unknownerror","name":"Error","stack":"Error:unknown error\n    at respond(/home/apps/kibana-4.1.4-linux-x64/src/node_modules/elasticsearch/src/lib/transport.js:237:15)\n    at checkRespForFailure(/home/apps/kibana-4.1.4-linux-x64/src/node_modules/elasticsearch/src/lib/transport.js:203:7)\n    at HttpConnector.(/home/apps/kibana-4.1.4-linux-x64/src/node_modules/elasticsearch/src/lib/connectors/http.js:156:7)\n    at IncomingMessage.bound(/home/apps/kibana-4.1.4-linux-x64/src/node_modules/elasticsearch/node_modules/lodash-node/modern/internals/baseBind.js:56:17)\n    at IncomingMessage.emit(events.js:117:20)\n    at_stream_readable.js:944:16\n    atprocess._tickCallback (node.js:442:13)"},"msg":"","time":"2016-08-30T07:07:57.923Z","v":0}
  
  换为更高的kibana版本就没问题了
  

  3.4、nginx重载配置文件出错
  /usr/local/nginx/sbin # ./nginx -s reload
  nginx: open()"/usr/local/nginx/logs/nginx.pid" failed (2: No such file ordirectory)
  
  /usr/local/nginx/sbin # ls ../logs/
  access.log error.log   
  
  /usr/local/nginx/sbin # ./nginx -c/usr/local/nginx/conf/nginx.conf
  
  /usr/local/nginx/sbin # ls ../logs/
  access.log error.log   nginx.pid   
  

  3.5、启动kafka出错有一个broker没起来,提示Failed to acquire lock on file .lock in/usr/local/kafka/tmp/kafka-logs.
  关闭kafka服务,查看还有哪个节点上的kafka还有进程,杀死改进城之后再次启动就没问题了。
  

  3.6、kafka删除topic出错,删除不了(还未解决)
  /usr/local/kafka # ./bin/kafka-topics.sh--delete --zookeeper 192.168.1.101:2181 --topic nginx-messages
  Topic nginx-messages is marked for deletion.
  Note: This will have no impact ifdelete.topic.enable is not set to true
  
  按网上说的修改
  配置文件在kafka\config目录
  # vi server.properties   
  delete.topic.enable=true
  
  但是修改之后还是删除不了topic。
  

  四、 Logstash配置文件
  4.1、配置一
  input {
   stdin {
     type => "stdin-type"
  }
   file {
     type => "syslog-ng"
  
      #Wildcards work, here :)
     path => [ "/var/log/*.log", "/var/log/messages","/var/log/syslog" ]
  }
  }
  output {
   stdout { }
  elasticsearch{
   hosts=>["192.168.1.101:9200","192.168.1.102:9200","192.168.1.103:9200"]
     }
  

  配置一的架构是被收集日志的机器直接通过本机的logstash把日志传送给es集群
  

  4.2、配置二
  input {
  file {
  type => "system-message"
  path => "/var/log/messages"
  start_position => "beginning"
  }
  }
  
  output {
  #stdout { codec => rubydebug }
  kafka {
  bootstrap_servers =>"192.168.1.103:9092"
  topic_id => "system-messages"
  compression_type => "snappy"
  }
  }
  配置二的架构是被收集日志的机器直接通过本机的logstash把日志传送给es单个节点
  

  4.3、配置三
  input {
  kafka {
  zk_connect =>"192.168.1.103:9092"
  topic_id => "System-Messages"
  codec => plain
  reset_beginning => false
  consumer_threads => 5
  decorate_events => true
  }
  }
  
  output {
  elasticsearch {
  hosts => "192.168.1.103:9092"
  index =>"test-System-Messages-%{+YYYY-MM}"
  }
  }
  配置三的架构是被kafka节点收集到日志之后传送给es节点
  

  4.4、配置四
  # vi/usr/local/logstash/etc/logstash_shipper.conf
  input {
  file {
  type => "system-message"
  path => "/var/log/messages"
  start_position => "beginning"
  }
  }
  output {
  stdout { codec => rubydebug }
  kafka {
  bootstrap_servers =>"192.168.1.101:9092,192.168.1.102:9092,192.168.1.103:9092"
  topic_id => "messages"
  compression_type => "snappy"
  }
  

  logstash消费端
  /usr/local/logstash # vietc/logstash_indexer.conf
  input {
  kafka {
  zk_connect => "192.168.1.101:2181,192.168.1.102:2181,192.168.1.103:2181"
  topic_id => "system-message"
  codec => plain
  reset_beginning => false
  consumer_threads => 5
  decorate_events => true
  }
  }
  output {
  elasticsearch {
  hosts => "192.168.1.105:9200"
  index =>"test-system-messages-%{+YYYY-MM}"
  }
  }
  配置四的架构是被收集日志的机器直接通过本机的logstash把日志传送给kafka集群,之后kafka集群再把日志传送给es节点。
  




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