ElasticSearch简要总览

今天看了一下ElasticSearch的相关文档,我作了以下总结:测试

发现愈来愈喜欢画图概括总结知识了,看图说话spa

集群特性说明rest

健康情况的说明code

如何配置分片?blog

 

 接下来一张图总结下操做相关的总结ip

 

 接下来,随便来个API测试下,先建立数据吧,这里随便封装下API文档

 能够看到已经建立成功了it

 

接下来咱们来试试查询table

{
    "took": 4,
    "timed_out": false,
    "_shards": {
        "total": 5,
        "successful": 5,
        "skipped": 0,
        "failed": 0
    },
    "hits": {
        "total": 2,
        "max_score": 1,
        "hits": [
            {
                "_index": "mydatabase",
                "_type": "mytable",
                "_id": "123",
                "_score": 1,
                "_source": {
                    "first_name": "John",
                    "last_name": "Smith",
                    "age": 25,
                    "about": "I love to go rock climbing",
                    "interests": [
                        "sports",
                        "music"
                    ]
                }
            },
            {
                "_index": "mydatabase",
                "_type": "mytable",
                "_id": "456",
                "_score": 1,
                "_source": {
                    "mylove": "i love you"
                }
            }
        ]
    }
}

这里能够看到咱们添加的数据了ast

安装图形中的命令在走一下

能够获得结果

{
    "took": 5,
    "timed_out": false,
    "_shards": {
        "total": 5,
        "successful": 5,
        "skipped": 0,
        "failed": 0
    },
    "hits": {
        "total": 1,
        "max_score": 0.2876821,
        "hits": [
            {
                "_index": "mydatabase",
                "_type": "mytable",
                "_id": "456",
                "_score": 0.2876821,
                "_source": {
                    "mylove": "i love you"
                }
            }
        ]
    }
}

其余的操做就不测试了~

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