簡介
- Kibana是一個針對Elasticsearch的開源分析及可視化平臺，用來搜索、查看交互存儲在Elasticsearch索引中的數據；
- 使用Kibana，可以通過各種圖表進行高級數據分析及展示，是對elasticsearch搜索引擎進行有效管理的工具；
實踐
- 上一篇博客，我們已經對elasticsearch在linux系統上安裝進行了詳細的說明，那麼es運行起來之後，我們需要選擇一種可視化的管理工具對es進行管理，那麼kibana就是其中一種管理工具，相對來說是比較好用的（另一種管理工具是head工具，這裏就不進行詳細說明了，有需要可以自行百度）；
- 首先，下載kibana-5.6.1壓縮安裝包，下載路徑可參考如下：
- windows版本：kibana-5.6.1工具包下載；
- linux版本：kibana-5.6.1-linux；
- 這裏我們選擇linux版本的kibana安裝，然後，在linux存放es的同級目錄下解壓（方便管理）；
- 解壓之後，就開始進行文件配置了，找到config目錄下的kibana.yml文件，然後進行配置，具體的參考配置如下，爲了方便下面的配置只設置了本機地址和es訪問連接地址，有其他需求的話可繼續配置：
#設置kibna端口；默認5601
#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.
#設置本機IP地址
server.host: "127.0.0.1"
# Enables you to specify a path to mount Kibana at if you are running behind a proxy. This only affects
# the URLs generated by Kibana, your proxy is expected to remove the basePath value before forwarding requests
# to Kibana. This setting cannot end in a slash.
#server.basePath: ""
# 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: "your-hostname"
#設置ES訪問地址（自行修改），端口9200
elasticsearch.url: "http://192.168.1.1:9200"
# 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: "discover"
# 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
#
# 設置訪問kibana時的用戶名；默認爲空；可以直接訪問
#elasticsearch.username: "user"
#
# 設置訪問kibana時的密碼；默認爲空；可以直接訪問
#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: 0
# Time in milliseconds to wait for Elasticsearch at Kibana startup before retrying.
#elasticsearch.startupTimeout: 5000
# 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"
- 最後，啓動kibana，進入bin目錄，執行以下命令：
#單次運行
$ ./kibana
#後臺運行，進程保護
$ nohup ./kibana &
- 查看kibana進程，使用傳統的 ps aux|grep kibana 命令是無法查看kibana的進程的，執行命令：fuser -n tcp 5601；
- 如果停止kibana，可直接執行命令，殺死進程號： kill -9 進程號；
問題&解決
問題1：JDK版本不兼容，或者太低；
解決： 安裝啓動kibana的JDK必須1.8或以上，在不改變當前JDK環境變量的情況下，可以在bin目錄下的kibana啓動文件裏面的頭部新增如下命令（jdk1.8的linux版本如果沒有，需要自行下載，放到指定的路徑下），這種解決方式和前面提到過的es啓動遇到的問題的解決方式是一樣的：
export JAVA_HOME=/usr/local/jdk1.8.0_121
export PATH=$JAVA_HOME/bin:$PATH
問題2：啓動kibana的時候可能會報找不到node命令的錯誤；
解決：先安裝nodejs，配置node環境，具體安裝步驟如下：
（1）下載node-v6.10.0-linux-x64.tar.xz安裝包（網上一大堆下載，這裏就不放上來了），放到kibana同級目錄（方便管理）；
（2）tar -xvf node-v6.10.0-linux-x64.tar.xz
（3）mv node-v6.10.0-linux-x64 nodejs
（4）確認一下nodejs下bin目錄是否有node 和npm文件，如果有，執行軟連接，如果沒有，重新下載執行上邊步驟；
（5）建立軟連接，變爲全局
ln -s /app/software/nodejs/bin/npm /usr/local/bin/
ln -s /app/software/nodejs/bin/node /usr/local/bin/
（6）測試node版本：node -v
總結
- 以上就是安裝kibana管理工具的全過程，可能會出現的問題也提供了相應的解決方法，如果有其他的可能會遇到的問題，歡迎交流；
- 安裝好了kibana之後，訪問kibana的地址一般是 ip地址+5601 的端口號，端口號可在配置文件自行更改；
- 那麼es搜索引擎的管理工具kibana也安裝完成了，成功對elasticsearch裏面的索引和類型進行有效管理，接下來的博客將會講到如何使用logstash去重oracle、postgresql、sqlserever等數據庫全量或增量導入數據到es裏面，一鍵導入各類型數據庫數據；