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~