ELK的安装配置（在hadoop集群上）

1.Elasticsearch安装配置

1.下载资源：https://www.elastic.co/cn/downloads/elasticsearch

2.上传到集群上，解压：tar -zxvf 压缩包

3.如果之前一直是root用户操作，会报错，因为es默认不允许在root用户使用。所以创建一个用户，这里以在park为例

（1）增加zpark用户

        useradd zpark

  (2)给zpark用户设置密码

     passwd  zpark

（3）增加权限，将root的访问权限设置给zpark。(在root用户下的cd /)        

       chown -R zpark:zpark /root

（4）进入zpark用户

         su zpark 

4.修改elasticsearch的两个配置文件（在root用户）

（1）  vi /etc/security/limits.conf

在配置文件下面加上：

* soft nofile 65536
* hard nofile 65536
* soft nproc 4096
* hard nproc 4096

（2） vi /etc/sysctl.conf

在配置文件下面加上：

vm.max_map_count=262144

5.修改elasticsearch下的conf的elasticsearch.yml

      vi elasticsearch.yml

我这里给出改好的配置文件

# ======================== Elasticsearch Configuration =========================
#
# NOTE: Elasticsearch comes with reasonable defaults for most settings.
#       Before you set out to tweak and tune the configuration, make sure you
#       understand what are you trying to accomplish and the consequences.
#
# The primary way of configuring a node is via this file. This template lists
# the most important settings you may want to configure for a production cluster.
#
# Please consult the documentation for further information on configuration options:
# https://www.elastic.co/guide/en/elasticsearch/reference/index.html
#
# ---------------------------------- Cluster -----------------------------------
#
# Use a descriptive name for your cluster:
#
 cluster.name: my-es
#
# ------------------------------------ Node ------------------------------------
#
# Use a descriptive name for the node:
#
 node.name: node-1
#
# Add custom attributes to the node:
#
#node.attr.rack: r1
#
# ----------------------------------- Paths ------------------------------------
#
# Path to directory where to store the data (separate multiple locations by comma):
#
 path.data: /home/zpark/esdata/data
#
# Path to log files:
#
 path.logs: /home/zpark/esdata/logs
#
# ----------------------------------- Memory -----------------------------------
#
# Lock the memory on startup:
#
#bootstrap.memory_lock: true
#
# Make sure that the heap size is set to about half the memory available
# on the system and that the owner of the process is allowed to use this
# limit.
#
# Elasticsearch performs poorly when the system is swapping the memory.
#
# ---------------------------------- Network -----------------------------------
#
# Set the bind address to a specific IP (IPv4 or IPv6):
#
 network.host: 192.168.199.131
#
# Set a custom port for HTTP:
#
#http.port: 9200
#
# For more information, consult the network module documentation.
#
# --------------------------------- Discovery ----------------------------------
#
# Pass an initial list of hosts to perform discovery when new node is started:
# The default list of hosts is ["127.0.0.1", "[::1]"]
#
 discovery.zen.ping.unicast.hosts: ["hdp-1", "hdp-2","hdp-3"]
#
# Prevent the "split brain" by configuring the majority of nodes (total number of master-eligible nodes / 2 + 1):
#
#discovery.zen.minimum_master_nodes: 
#
# For more information, consult the zen discovery module documentation.
#
# ---------------------------------- Gateway -----------------------------------
#
# Block initial recovery after a full cluster restart until N nodes are started:
#
#gateway.recover_after_nodes: 3
#
# For more information, consult the gateway module documentation.
#
# ---------------------------------- Various -----------------------------------
#
# Require explicit names when deleting indices:
#
#action.destructive_requires_name: true

6.启动方式：在es的bin下  ./elasticsearch

启动成功：

curl命令：

在集群上输入：

curl http://192.168.199.131:9200

注：192.168.199.131 是自己的ip地址

或者在浏览器中输入http://192.168.199.131:9200

Elasticsearch安装成功

 

2.Kibana安装配置

1.下载资源：https://www.elastic.co/cn/downloads/kibana

2.解压：tar -zxvf 压缩包

3.修改kibana的配置文件

到kibana的config的 kibana.yml

这里我已修改好：

# Kibana is served by a back end server. This setting specifies the port to use.
#server.port: 5601

# Specifies the address to which the Kibana server will bind. IP addresses and host names are both valid values.
# The default is 'localhost', which usually means remote machines will not be able to connect.
# To allow connections from remote users, set this parameter to a non-loopback address.
server.host: "192.168.199.131"

# Enables you to specify a path to mount Kibana at if you are running behind a proxy.
# Use the `server.rewriteBasePath` setting to tell Kibana if it should remove the basePath
# from requests it receives, and to prevent a deprecation warning at startup.
# This setting cannot end in a slash.
#server.basePath: ""

# Specifies whether Kibana should rewrite requests that are prefixed with
# `server.basePath` or require that they are rewritten by your reverse proxy.
# This setting was effectively always `false` before Kibana 6.3 and will
# default to `true` starting in Kibana 7.0.
#server.rewriteBasePath: false

# The maximum payload size in bytes for incoming server requests.
#server.maxPayloadBytes: 1048576

# The Kibana server's name.  This is used for display purposes.
server.name: "hdp-1"

# The URL of the Elasticsearch instance to use for all your queries.
elasticsearch.url: "http://hdp-1:9200"

# When this setting's value is true Kibana uses the hostname specified in the server.host
# setting. When the value of this setting is false, Kibana uses the hostname of the host
# that connects to this Kibana instance.
#elasticsearch.preserveHost: true

# Kibana uses an index in Elasticsearch to store saved searches, visualizations and
# dashboards. Kibana creates a new index if the index doesn't already exist.
kibana.index: ".kibana"

# The default application to load.
#kibana.defaultAppId: "home"

# If your Elasticsearch is protected with basic authentication, these settings provide
# the username and password that the Kibana server uses to perform maintenance on the Kibana
# index at startup. Your Kibana users still need to authenticate with Elasticsearch, which
# is proxied through the Kibana server.
#elasticsearch.username: "user"
#elasticsearch.password: "pass"

# Enables SSL and paths to the PEM-format SSL certificate and SSL key files, respectively.
# These settings enable SSL for outgoing requests from the Kibana server to the browser.
#server.ssl.enabled: false
#server.ssl.certificate: /path/to/your/server.crt
#server.ssl.key: /path/to/your/server.key

# Optional settings that provide the paths to the PEM-format SSL certificate and key files.
# These files validate that your Elasticsearch backend uses the same key files.
#elasticsearch.ssl.certificate: /path/to/your/client.crt
#elasticsearch.ssl.key: /path/to/your/client.key

# Optional setting that enables you to specify a path to the PEM file for the certificate
# authority for your Elasticsearch instance.
#elasticsearch.ssl.certificateAuthorities: [ "/path/to/your/CA.pem" ]

# To disregard the validity of SSL certificates, change this setting's value to 'none'.
#elasticsearch.ssl.verificationMode: full

# Time in milliseconds to wait for Elasticsearch to respond to pings. Defaults to the value of
# the elasticsearch.requestTimeout setting.
#elasticsearch.pingTimeout: 1500

# Time in milliseconds to wait for responses from the back end or Elasticsearch. This value
# must be a positive integer.
#elasticsearch.requestTimeout: 30000

# List of Kibana client-side headers to send to Elasticsearch. To send *no* client-side
# headers, set this value to [] (an empty list).
#elasticsearch.requestHeadersWhitelist: [ authorization ]

# Header names and values that are sent to Elasticsearch. Any custom headers cannot be overwritten
# by client-side headers, regardless of the elasticsearch.requestHeadersWhitelist configuration.
#elasticsearch.customHeaders: {}

# Time in milliseconds for Elasticsearch to wait for responses from shards. Set to 0 to disable.
#elasticsearch.shardTimeout: 30000

# Time in milliseconds to wait for Elasticsearch at Kibana startup before retrying.
#elasticsearch.startupTimeout: 5000

# Logs queries sent to Elasticsearch. Requires logging.verbose set to true.
#elasticsearch.logQueries: false

# Specifies the path where Kibana creates the process ID file.
#pid.file: /var/run/kibana.pid

# Enables you specify a file where Kibana stores log output.
#logging.dest: stdout

# Set the value of this setting to true to suppress all logging output.
#logging.silent: false

# Set the value of this setting to true to suppress all logging output other than error messages.
#logging.quiet: false

# Set the value of this setting to true to log all events, including system usage information
# and all requests.
#logging.verbose: false

# Set the interval in milliseconds to sample system and process performance
# metrics. Minimum is 100ms. Defaults to 5000.
#ops.interval: 5000

# The default locale. This locale can be used in certain circumstances to substitute any missing
# translations.
#i18n.defaultLocale: "en"

3.启动方式 到bin目录下

    ./kibana

启动成功：

4.外网访问：用浏览器

Kibana安装成功

 

3.Logstash安装配置

logstash类似于flume。功能：采集日志文件

1.下载资源：https://www.elastic.co/cn/downloads/logstash

2.解压  tar -zxvf 压缩包

3.输入命令可进行测试：

input { stdin { } } output { stdout {} }         控制台输入和控制台输出

（1）在logstash下执行

bin/logstash -e 'input { stdin { } } output { stdout {} }'

在控制台上写helloyou    会被Logstash采集到并打印到控制台上

 

（2）把配置信息写到文件中

      vi console.conf

input { stdin { } } output { stdout {} }

启动：bin/logstash -f   console.conf    

（3）    检测文件数据发生变化就采集

            vi file.conf

input {
    file{
        path => "/root/apps/logstash-5.6.16/data.txt"
    }
 }
output {
     stdout {}
 }

启动：

bin/logstash -f file.conf

往data里面写数据：echo "hello you" >> data.txt