1，插入索引
PUT /索引/~类型名~/文档id/
{请求体}
PUT /test1/type1/1
{
"name": "梁振周",
"age": 27
}
2，创建索引规则
PUT /test2/
{
"mappings": {
"properties": {
"name" :{
"type": "text"
},
"age" :{
"type": "long"
},
"birthday" :{
"type": "date"
}
}
}
}
#####使用默认类型
PUT /tset3/_doc/1
{
"name": "乔哈哈",
"age": 18,
"birth": "2000-01-01"
}
3，GET _cat/health 查看监看信息
GET _cat/indices?v 查看全部索引库
health status index uuid pri rep docs.count docs.deleted store.size pri.store.size
yellow open test2 h98thw7QRLW9034-Bsj5Zw 1 1 0 0 283b 283b
yellow open bigdata bw4xnDp5QzOU_wevRGuzeg 1 1 0 0 283b 283b
green open .kibana_task_manager_1 udZtTM7tQeOzhyLwqLVSoA 1 0 2 0 32kb 32kb
green open .apm-agent-configuration fTgzE0yNQ_WbzfUFKX-L4w 1 0 0 0 283b 283b
yellow open tset3 kq1st3cTRK6RHqhqFshmyQ 1 1 1 0 7.7kb 7.7kb
green open .kibana_1 o_a5xNggSDC3_XNcUEGmog 1 0 15 4 38.2kb 38.2kb
4，修改索引
a,使PUT
PUT /tset3/_doc/1
{
"name": "乔哈哈123",
"age": 18,
"birth": "2000-01-01"
}
{
"_index" : "tset3",
"_type" : "_doc",
"_id" : "1",
"_version" : 2, （版本加1）
"result" : "updated",（之前是create）
"_shards" : {
"total" : 2,
"successful" : 1,
"failed" : 0
},
"_seq_no" : 1,
"_primary_term" : 1
}
b,使用post
POST /tset3/_doc/1/_update
{
"doc": {
"name": "哈哈乔post修改"
}
}
{
"_index" : "tset3",
"_type" : "_doc",
"_id" : "1",
"_version" : 3,
"result" : "updated",
"_shards" : {
"total" : 2,
"successful" : 1,
"failed" : 0
},
"_seq_no" : 2,
"_primary_term" : 1
}
5，删除索引
DELETE test1
6.搜索
PUT /liangzhenzhou/user/1
{
"name": "梁振周",
"age": 28,
"desc": "百度一下，你就知道，我是谁，我在哪",
"tages": ["喜欢音乐","游戏","技术宅"]
}
PUT /liangzhenzhou/user/2
{
"name": "张三",
"age": 28,
"desc": "百度一下，你就知道，我是谁，我在哪",
"tages": ["吸烟","喝酒","烫头"]
}
PUT /liangzhenzhou/user/5
{
"name": "乔哈哈",
"age": 18,
"desc": "百度一下，你就知道，我是谁，我在哪",
"tages": ["学习","吃美食","旅游"]
}
查询全部
GET liangzhenzhou/user/_search
a.简单条件查询
GET liangzhenzhou/user/_search?q=name:梁振周
b,精确查询
term查询是直接通过倒排索引指定的词条进行精确的查找。
关于分词：
term,直接查询精确的
match，会使用分词器解析！（先分析文档，然后再通过分析的文档进行查询!）
两个类型：
text类型：拆分查询
keyword类型：不拆分查询
匹配，按条件匹配，精准匹配，区间范围匹配，匹配字段过滤，多条件匹配，高亮查询
GET liangzhenzhou/user/_search
{
"query": {
"bool": {
"must": [
{
"match": {
"name": "梁振周"
}
}
],
"filter": [
{
"range": {
"age": {
"gt": 10
}
}
}
]
}
}
}
