今天看了一下ElasticSearch的相关文档，我做了如下总结：

发现越来越喜欢画图归纳总结知识了，看图说话

集群特性说明

健康状况的说明

如何配置分片？

 

 接下来一张图总结下操作相关的总结

 

 接下来，随便来个API测试下,先创建数据吧，这里随便封装下API

 可以看到已经创建成功了

 

接下来我们来试试查询

{    "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"                }            }        ]    }}

这里可以看到我们添加的数据了

安装图形中的命令在走一下

可以得到结果

{    "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"                }            }        ]    }}

其他的操作就不测试了~