一 elasticsearch-dsl
#安装： pip3 install elasticsearch-dsl
#示例
from datetime import datetime
from elasticsearch_dsl import Document, Date, Nested, Boolean,
analyzer, InnerDoc, Completion, Keyword, Text
html_strip = analyzer('html_strip',
tokenizer="standard",
filter=["standard", "lowercase", "stop", "snowball"],
char_filter=["html_strip"]
)
class Comment(InnerDoc):
author = Text(fields={'raw': Keyword()})
content = Text(analyzer='snowball')
created_at = Date()
def age(self):
return datetime.now() - self.created_at
class Post(Document):
title = Text()
title_suggest = Completion()
created_at = Date()
published = Boolean()
category = Text(
analyzer=html_strip,
fields={'raw': Keyword()}
)
comments = Nested(Comment)
class Index:
name = 'blog'
def add_comment(self, author, content):
self.comments.append(
Comment(author=author, content=content, created_at=datetime.now()))
def save(self, ** kwargs):
self.created_at = datetime.now()
return super().save(** kwargs)
二 django集成
from datetime import datetime
from elasticsearch_dsl import Document, Date, Nested, Boolean,analyzer, InnerDoc, Completion, Keyword, Text,Integer
from elasticsearch_dsl.connections import connections
connections.create_connection(hosts=["localhost"])
class Article(Document):
title = Text(analyzer='ik_max_word', search_analyzer="ik_max_word", fields={'title': Keyword()})
author = Text()
class Index:
name = 'myindex'
def save(self, ** kwargs):
return super(Article, self).save(** kwargs)
if __name__ == '__main__':
# Article.init() # 创建映射
# 保存数据
# article = Article()
# article.title = "测试测试"
# article.save() # 数据就保存了
#查询数据
# s=Article.search()
# s = s.filter('match', title="测试")
#
# results = s.execute()
# print(results)
#删除数据
# s = Article.search()
# s = s.filter('match', title="测试").delete()
#修改数据
# s = Article().search()
# s = s.filter('match', title="测试")
# results = s.execute()
# print(results[0])
# results[0].title="xxx"
# results[0].save()