Linux下Elasticsearch環境搭建

1、elasticsearch安裝並運行

1.下載並解壓便可

2.進入elasticsearch的bin目錄

3.執行    ./elasticsearch  命令便可運行

4.瀏覽器中運行：http://ip:9200/    若是出現如下畫面表示運行成功

 

2、集羣搭建

1.以本人爲例，在三臺機器上安裝了es,來搭建集羣

2進入elasticsearch的config目錄，打開並編輯elasticsearch.yml

# ======================== 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 see the documentation for further information on configuration options:

# <http://www.elastic.co/guide/en/elasticsearch/reference/current/setup-configuration.html>

#

# ---------------------------------- Cluster -----------------------------------

#

# Use a descriptive name for your cluster:

#三臺電腦cluster.name:保持一致

  cluster.name: my-askingdata

#

# ------------------------------------ Node ------------------------------------

#

# Use a descriptive name for the node:

#三臺電腦的node.name不能同樣

  node.name: node-1

#

# Add custom attributes to the node:

#

#  node.rack: r1

#

# ----------------------------------- Paths ------------------------------------

#

# Path to directory where to store the data (separate multiple locations by comma):

#

# path.data: /path/to/data

#

# Path to log files:

#

# path.logs: /path/to/logs

#

# ----------------------------------- Memory -----------------------------------

#

# Lock the memory on startup:

#

# bootstrap.mlockall: true

#

# Make sure that the `ES_HEAP_SIZE` environment variable 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):

#   ip

  network.host: 192.168.1.106

#

# Set a custom port for HTTP:

#端口

  http.port: 9200

#

# For more information, see the documentation at:

# <http://www.elastic.co/guide/en/elasticsearch/reference/current/modules-network.html>

#

# --------------------------------- 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]"]

#寫入三臺電腦的ip

  discovery.zen.ping.unicast.hosts: ["192.168.1.106", "192.168.1.108","192.168.1.109"]

#

# Prevent the "split brain" by configuring the majority of nodes (total number of nodes / 2 + 1):

#

3、head插件安裝和使用

1.在es的plugin 目錄下新建head目錄

2.下載head並解壓進plugin/head目錄便可

3.分別啓動三臺 機器的es

4. 打開http://192.168.1.106:9200/_plugin/head/   

 

 

4、索引的操做

一、索引文檔的建立

將以下一條歌曲信息的數據提交到ES中建立索引：

[plain] view plain copy

url：http://127.0.0.1:9200/song001/list001/1  

data：{"number":32768,"singer":"楊坤","size":"5109132","song":"今夜二十歲","tag":"中國好聲音","timelen":319}  

索引名字是：song001；

索引的類型是：list001；

本記錄的id是：1

返回的信息能夠看到建立是成功的，而且版本號是1；ES會對記錄修改進行版本跟蹤，第一次建立記錄爲1，同一條記錄每修改一次就追加1。

至此一條記錄就提交到ES中創建了索引，注意HTTP的方法是PUT，不要選擇錯了。

二、索引文檔的查詢

根據索引時的ID查詢的文檔的RESTful接口以下

url：http://127.0.0.1:9200/song001/list001/1
HTTP方法採用GET的形式。

三、索引文檔的更新

根據索引時的ID更新的文檔的內容其RESTful接口以下

url：http://127.0.0.1:9200/song001/list001/1
HTTP方法採用PUT的形式。

將歌手名由「楊坤」改爲「楊坤獨唱」；

結果中的version字段已經成了2，由於咱們這是是修改，索引版本遞增；created字段是false，表示此次不是新建而是更新。

更新接口與建立接口徹底同樣，ES會查詢記錄是否存在，若是不存在就是建立，存在就是更新操做。

 

 

四、索引文檔的刪除

根據索引時的ID更新的文檔的內容其RESTful接口以下

url：http://127.0.0.1:9200/song001/list001/1
HTTP方法採用DELETE的形式。

刪除事後，再經過查詢接口去查詢將得不到結果。

總結：

增刪改查的RESTful接口URL形式：http://localhost:9200/<index>/<type>/[<id>]

增刪改查分別對應：HTTP請求的PUT、GET、DELETE方法。PUT調用是若是不存在就是建立，已存在是更新。

 

快速bulk插入數據

使用插件elasticsearch-reindexing

下載     https://github.com/codelibs/elasticsearch-reindexing

執行命令在線安裝，不用下載   $ $ES_HOME/bin/plugin install org.codelibs/elasticsearch-reindexing/2.1.1

 

在查詢時出現max_result_window錯誤時，

執行如下命令，紅字要>=文檔總數

curl -XPUT "http://192.168.1.106:9200/shark/_settings" -d '{ "index" : { "max_result_window" :30000 } }'

關閉節點

ps -ef | grep elasticsearch    

kill ****