elasticsearch之python使用

一、原生集成

# pip install elasticsearch

from elasticsearch import Elasticsearch

obj = Elasticsearch()
# 创建索引（Index）
# result = obj.indices.create(index='user', body={"userid":'1','username':'lqz'},ignore=400)
# 删除索引
# result = obj.indices.delete(index='user', ignore=[400, 404])
# 插入数据
# data = {'userid': '1', 'username': 'lqz','password':'123'}
# result = obj.create(index='news', doc_type='_doc', id=1, body=data)
# 更新数据
# data ={'doc':{'userid': '1', 'username': 'lqz','password':'123ee','test':'test'}}
# result = obj.update(index='news', doc_type='_doc', body=data, id=1)
# 删除数据
# result = obj.delete(index='news', doc_type='_doc', id=1)
# 查询
# 查找所有文档
# query = {'query': {'match_all': {}}}
# 查找名字叫做jack的所有文档
# query = {'query': {'match': {'title': '十个'}}}
# 查找年龄大于11的所有文档
# query = {'query': {'range': {'age': {'gt': 11}}}}
# allDoc = obj.search(index='books', doc_type='_doc', body=query)

二、dsl集成

# pip3 install elasticsearch-dsl

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')
    author = Text()

    class Index:
        name = 'myindex'

    def save(self, ** kwargs):
        return super(Article, self).save(** kwargs)


if __name__ == '__main__':
    # Article.init()  # 创建索引
    # article = Article()  # 生成索引对象
    # article.title = "测试测试阿斯顿发送到发斯蒂芬啊啊士大夫阿斯蒂芬"
    # article.author = "lqz"
    # article.save()  # 数据保存

    # s=Article.search()  # 生成查询对象
    # s = s.filter('match', title="测试")
    # results = s.execute()  # 执行得到查询结果

    # s = Article.search()
    # s = s.filter('match', title="李清照").delete()  # 删除数据

    # s = Article().search()
    # s = s.filter('match', title="测试")
    # results = s.execute()
    # results[0].title="李清照阿斯顿发送到发送阿斯蒂"  # 修改数据
    # results[0].save()