Elasticsearch 之 API调用

一、Elasticsearch API 参考网址

https://www.elastic.co/guide/en/elasticsearch/reference/6.0/docs.html

Elasticsearch  之  API调用

二、基于curl创建信息

1、回顾elasticsearch的类型信息
Elasticsearch  之  API调用

2、创建如下信息
Elasticsearch  之  API调用

3、数据陈列

PUT twitter/tweet/1
{
    "user" : "kimchy",
    "post_date" : "2009-11-15T14:12:12",
    "message" : "trying out Elasticsearch"
}

4、curl 请求方法

curl -X PUT localhost:9200/twitter/tweet/1?pretty -H 'Content-Type: application/json' -d'
{
    "user" : "kimchy",
    "post_date" : "2009-11-15T14:12:12",
    "message" : "trying out Elasticsearch"
}
'

5、创建结果
Elasticsearch  之  API调用
Elasticsearch  之  API调用

三、基于python的API调用

1、创建索引

from elasticsearch import Elasticsearch
es = Elasticsearch(['10.3.153.200:9200'])
#创建索引test-index
ret = es.indices.create(index='test-index')
#打印返回结果
print(ret)

2、删除索引

from elasticsearch import Elasticsearch
es = Elasticsearch(['10.3.153.200:9200'])
#删除索引test-index
ret = es.indices.delete(index='test-index')
#打印返回结果
print(ret)

3、创建文档数据

from elasticsearch import Elasticsearch
es = Elasticsearch(['10.3.153.200:9200'])
#创建索引kang,类型book,id3,主体(title:elasticsearch从入门到精通)
ret = es.create(index='kang',doc_type='book',id=3,body={"title":"elasticsearch从入门到精通"})
#打印返回结果
print(ret)

4、获取文档数据

from elasticsearch import Elasticsearch
es = Elasticsearch(['10.3.153.200:9200'])
#查询索引kang,类型book,id=1的数据
ret = es.get(index='kang',doc_type='book',id=1)
print(ret)

5、更新文档数据

from elasticsearch import Elasticsearch
es = Elasticsearch(['10.3.153.200:9200'])
#更新索引KANG,文档类型book,id=1,doc更新内容,title变更为Ansible自动化运维
ret = es.update(index='kang',doc_type='book',id=1,body={"doc":{"title":'Ansible自动化运维'}})
print(ret)

6、基础条件查询

from elasticsearch import Elasticsearch
es = Elasticsearch(['10.3.153.200:9200'])
#查询kang索引下,title字段包括ansible内容的数据
res = es.search(index='kang',q='title:ansible')
print(res)

四、多文档查询方法mget

Elasticsearch  之  API调用

参考例子

Elasticsearch  之  API调用

python api mget调用方法

from elasticsearch import Elasticsearch
es = Elasticsearch(['10.3.153.200:9200'])
#查询索引kang,id=1与id=2的数据
ret = es.mget(index='kang',body={'ids': ["1", "2"]})
print(ret)

python elasticsearch 官网地址:
https://elasticsearch-py.readthedocs.io/en/master/api.html#

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转载自blog.51cto.com/12965094/2663096