python elasticsearch 入门教程(一)

写入数据

from elasticsearch import Elasticsearch
es = Elasticsearch()
body1={
    "first_name" : "John",
    "last_name" :  "Smith",
    "age" :        25,
    "about" :      "I love to go rock climbing",
    "interests": [ "sports", "music" ]
}


#余下代码为写入三段数据
body2={
    "first_name" :  "Jane",
    "last_name" :   "Smith",
    "age" :         32,
    "about" :       "I like to collect rock albums",
    "interests":  [ "music" ]
}

body3={
    "first_name" :  "Douglas",
    "last_name" :   "Fir",
    "age" :         35,
    "about":        "I like to build cabinets",
    "interests":  [ "forestry" ]
}



res1 = es.index(index="megacorp", doc_type='employee', id=1,body=body1)
res2 = es.index(index="megacorp", doc_type='employee', id=2,body=body2)
res3 = es.index(index="megacorp", doc_type='employee', id=3,body=body3)

这是一个elasticsearch的简单查询,要求匹配 名字为”Smith”的文档,有没有和mongodb有点像.

bb1={
    "query" : {
               "match" : {"last_name" : "Smith" }
                }
     }


rt1= es.search(index="megacorp", body=bb1)
print(rt1)

Out[11]: 
{'_shards': {'failed': 0, 'skipped': 0, 'successful': 5, 'total': 5},
 'hits': {'hits': [{'_id': '2',
    '_index': 'megacorp',
    '_score': 0.2876821,
    '_source': {'about': 'I like to collect rock albums',
     'age': 32,
     'first_name': 'Jane',
     'interests': ['music'],
     'last_name': 'Smith'},
    '_type': 'employee'},
   {'_id': '1',
    '_index': 'megacorp',
    '_score': 0.2876821,
    '_source': {'about': 'I love to go rock climbing',
     'age': 25,
     'first_name': 'John',
     'interests': ['sports', 'music'],
     'last_name': 'Smith'},
    '_type': 'employee'}],
  'max_score': 0.2876821,
  'total': 2},
 'timed_out': False,
 'took': 309}

现在尝试下更复杂的搜索。 同样搜索姓氏为 Smith 的雇员，但这次我们只需要年龄大于 30 的。查询需要稍作调整，使用过滤器 filter ，它支持高效地执行一个结构化查询。

bb2={
    "query" : {
                "bool": {
                           "must": { "match" : { "last_name" : "smith" }
                                   },
                           "filter": {
                                         "range" : {
                                                      "age" : { "gt" : 30 } 
                                                    }
                                     }
                         }
             }
}
rt2= es.search(index="megacorp", body=bb2)
print(rt2)

{'took': 23, 'timed_out': False, '_shards': {'total': 5, 'successful': 5, 'skipped': 0, 'failed': 0}, 'hits': {'total': 1, 'max_score': 0.2876821, 'hits': [{'_index': 'megacorp', '_type': 'employee', '_id': '2', '_score': 0.2876821, '_source': {'first_name': 'Jane', 'last_name': 'Smith', 'age': 32, 'about': 'I like to collect rock albums', 'interests': ['music']}}]}}