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Elasticsearch/Logstash/Kibana作为目前开源领域最为炙手可热的监控三剑客声名大噪。ELK三者各司其职，作为构建在Lucene基础上的搜索引擎，和另外一个著名的工具solr功能和应用场景有些重叠，只是看起来Elasticsearch风头更胜。而ELK从log抽取到图形展示全套功能齐全为同属elastic的Elasticsearch更是添了不少分，做到了1+1大于2。本文将介绍一下如何最简单的使用docker将ES跑起来。

docker pull

取得ES的官方镜像

[root@host34 ~]# docker pull elasticsearchUsing default tag: latestlatest: Pulling from library/elasticsearch357ea8c3d80b: Already exists52befadefd24: Already exists42f3df327392: Pull complete3decae4e9763: Pull complete0a60a7e0c31d: Pull completeb42727ba883d: Pull complete98299a24213c: Pull complete587e958702ba: Pull completef2d29026b186: Pull complete09f7dfb6af7f: Pull complete8fe5922f9eb7: Pull completedf7240b72866: Pull completeebd5ba30c696: Pull complete2995da3129b5: Pull completeDigest: sha256:6eecc2f2878a05bfc7a8f01e2b8f2f2ce8e5c3adb0799c8ef15248dbf1bb7815Status: Downloaded newer image for elasticsearch:latest[root@host34 ~]#

docker run

运行ElasticSearch的镜像

[root@host34 ~]# docker run -d -p 9200:9200 elasticsearch473594e2c61a8b625e337042b1724a416220c3461a712925895ebbe38190ff7c[root@host34 ~]#

确认ElasticSearch运行状况

使用curl确认其API，能够返回正常结果。

[root@host34 ~]# docker run -d -p 9200:9200 elasticsearch473594e2c61a8b625e337042b1724a416220c3461a712925895ebbe38190ff7c[root@host34 ~]#[root@host34 ~]#[root@host34 ~]# curl -X GET http://192.168.32.34:9200{  "name" : "Golden Girl",  "cluster_name" : "elasticsearch",  "version" : {    "number" : "2.3.5",    "build_hash" : "90f439ff60a3c0f497f91663701e64ccd01edbb4",    "build_timestamp" : "2016-07-27T10:36:52Z",    "build_snapshot" : false,    "lucene_version" : "5.5.0"  },  "tagline" : "You Know, for Search"}[root@host34 ~]#

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