Elasticsearch教程之六：Elasticsearch Python客户端的使用

Elasticsearch可以说是企业级搜索应用的最佳选择。相较于传统的关系型数据库，Elasticsearch更适合于存储海量数据并对其进行全文检索和数据分析（聚合）。下面介绍如何在Python中使用ES。

Elasticsearch教程

Elasticsearch系列教程

• Elasticsearch教程之一：介绍
• Elasticsearch教程之二：索引，分词及映射
• Elasticsearch教程之三：API
• Elasticsearch教程之四：AWS OpenSearch
• Elasticsearch教程之五：Opensearch Node.js客户端的使用
• Elasticsearch教程之六：Elasticsearch Python客户端的使用
• Elasticsearch教程之七：在OpenSearch中使用聚合实现Facet

安装

bash

pip install elasticsearch

创建索引

Python

from elasticsearch import Elasticsearch
es = Elasticsearch()

# ignore 400 cause by IndexAlreadyExistsException when creating an index
es.indices.create(index='test-index', ignore=400)

# ignore 404 and 400
es.indices.delete(index='test-index', ignore=[400, 404])

读取数据

Python

from datetime import datetime
from elasticsearch import Elasticsearch

es = Elasticsearch()
resp = es.get(index="tutorial", id="HnOR9HkBkMWsw4mVbe5G")
print(resp)

添加数据

Python

from elasticsearch import Elasticsearch

es = Elasticsearch()
new_employee = {
    "name": "George Harding",
    "sex": "male",
    "age": 34,
    "years": 10
}
response = es.index(
    index = 'tutorial',
    body = new_employee
)