常用命令请求
- 获取健康状况
GET /_cat/health?v
- 获取集群中节点列表
GET /_cat/nodes?v
- 获取索引列表
GET /_cat/indices?v
- 创建名字为customer的索引
PUT /customer?pretty
- 给customer索引存入数据
PUT /customer/doc/1?pretty
{
"name": "John Doe"
}
Elasticsearch并不要求你在索引文档之前先显性的创建索引。在4、5步骤中，如果在执行步骤5时，customer索引还没有创建，Elasticsearch将会自动的创建这个索引
- 删除索引
DELETE /customer?pretty
访问数据命令模板为：<REST Verb> /<Index>/<Type>/<ID>
- 修改数据
PUT /customer/doc/1?pretty
{
"name": "Jane Doe"
}
- 非显性的指定id，elasticsearch会自动创建
POST /customer/doc?pretty
{
"name": "Jane Doe"
}
- 更新文档
POST /customer/doc/1/_update?pretty
{
"doc": { "name": "Jane Doe" }
}
- 更新并添加数据
POST /customer/doc/1/_update?pretty
{
"doc": { "name": "Jane Doe", "age": 20 }
}
- 删除文档
DELETE /customer/doc/2?pretty
- 批量操作，使用_bulk
- 索引两个文档
POST /customer/doc/_bulk?pretty
{"index":{"_id":"1"}}
{"name": "John Doe" }
{"index":{"_id":"2"}}
{"name": "Jane Doe" }
- 更新id=1的文档，删除id=2的文档
POST /customer/doc/_bulk?pretty
{"update":{"_id":"1"}}
{"doc": { "name": "John Doe becomes Jane Doe" } }
{"delete":{"_id":"2"}}
- 搜索，通过_search
- 通过请求URL
GET /bank/_search?q=*&sort=account_number:asc&pretty //返回bank索引的所有文档
- q=* 匹配bank索引中的所有文档
- sort=account_number:asc 使用每个文档中的account_number字段进行升序排序
- pretty 告诉Elasticsearch返回 pretty-printed JSON 结果
- 通过请求体
GET /bank/_search
{
"query": { "match_all": {} },
"sort": [
{ "account_number": "asc" }
]
}
- 结果解析
{
"took" : 63,
"timed_out" : false,
"_shards" : {
"total" : 5,
"successful" : 5,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : 1000,
"max_score" : null,
"hits" : [ {
"_index" : "bank",
"_type" : "account",
"_id" : "0",
"sort": [0],
"_score" : null,
"_source" : {"account_number":0,"balance":16623,"firstname":"Bradshaw","lastname":"Mckenzie","age":29,"gender":"F","address":"244 Columbus Place","employer":"Euron","email":"bradshawmckenzie@euron.com","city":"Hobucken","state":"CO"}
}, {
"_index" : "bank",
"_type" : "account",
"_id" : "1",
"sort": [1],
"_score" : null,
"_source" : {"account_number":1,"balance":39225,"firstname":"Amber","lastname":"Duke","age":32,"gender":"M","address":"880 Holmes Lane","employer":"Pyrami","email":"amberduke@pyrami.com","city":"Brogan","state":"IL"}
}, ...
]
}
}
- took Elasticsearch查询耗费时间，单位毫秒
- timed_out 查询是否超时
- _shards 查询了多少个分片，和查询成功/跳过/失败的分片的数量
- hits 查询结果
- hits.total 匹配搜索条件的所有文档数
- hits.hits 搜索结果的实际数组（默认前10个文档）
- hits.sort 结果排序的key
- hits._score 和 max_score 现在可以忽略的字段
