elasticsearch的docker安装与使用

安装

sh 复制代码
docker network create elastic

docker pull docker.elastic.co/elasticsearch/elasticsearch:8.10.4

# 增加虚拟内存, 此处适用于linux
vim /etc/sysctl.conf # 添加 vm.max_map_count=262144
# 重新启动
sysctl vm.max_map_count


docker run --name es01 --net elastic -p 9200:9200 -it -m 1GB docker.elastic.co/elasticsearch/elasticsearch:8.10.4

成功后会出现下图

将密码保存,可以先重置:

sh 复制代码
docker exec -it es01 /usr/share/elasticsearch/bin/elasticsearch-reset-password -u elastic
docker exec -it es01 /usr/share/elasticsearch/bin/elasticsearch-create-enrollment-token -s kibana

复制证书以供ssl访问

sh 复制代码
docker cp es01:/usr/share/elasticsearch/config/certs/http_ca.crt .

使用

connect

py 复制代码
from elasticsearch import Elasticsearch


NODES = [
    "https://localhost:9200",
    "https://localhost:9201",
    "https://localhost:9202",
]

# Password for the 'elastic' user generated by Elasticsearch
ELASTIC_PASSWORD = "<password>"

# Create the client instance
client = Elasticsearch(
    NODES,
    ca_certs="/path/to/http_ca.crt",
    basic_auth=("elastic", ELASTIC_PASSWORD)
    # 支持多种登陆方式
    # api_key=("api_key.id", "api_key.api_key")
    # bearer_auth="token-value"
    # ssl_assert_fingerprint=CERT_FINGERPRINT,
)

# Successful response!
client.info()

index

py 复制代码
mapping = {
    "settings": {
        "analysis": {
            "analyzer": {
                "latex_analyzer": {
                    "type": "standard",  # 使用标准分析器作为基础
                    "stopwords": "_none_"  # 不使用停用词
                }
            }
        }
    },
    "mappings": {
        "properties": {
            "question": {
                "type": "text",
                "analyzer": "latex_analyzer"  # 使用上面定义的分析器
            }
        }
    }
}

# 创建索引
es.indices.create(index="questions_index", body=mapping)

insert

py 复制代码
from elasticsearch import Elasticsearch, helpers

insert_df = df["question"].to_frame()

insert_df.head()

def doc_generator(df, index_name):
    df_iter = df.iterrows()
    for index, document in df_iter:
        yield {
            "_index": index_name,
            "_id": index,      
            "_source": document.to_dict(),
        }

helpers.bulk(es, doc_generator(insert_df, 'questions_index'))

query

py 复制代码
search_query = {
    "query": {
        "match": {
            "question": "数轴上A、B两点所表示的有理数的和是"
        }
    }
}

response = es.search(index="questions_index", body=search_query)

for hit in response['hits']['hits']:
    print(hit['_source']['question'])
py 复制代码
import ujson

# 原始查询
query_string = '''{
    "query": {
        "bool": {
            "must": [
                {
                    "bool": {
                        "must": [
                            {
                                "bool": {
                                    "should": [
                                        {
                                            "multi_match": {
                                                "query": "数轴上A、B两点所表示的有理数的和是",
                                                "fields": ["question^3", "question.raw^3", "question.search^1", "question.autosuggest^1", "question.english^1"],
                                                "type": "cross_fields",
                                                "operator": "and"
                                            }
                                        },
                                        {
                                            "multi_match": {
                                                "query": "数轴上A、B两点所表示的有理数的和是",
                                                "fields": ["question^3", "question.raw^3", "question.search^1", "question.autosuggest^1", "question.english^1"],
                                                "type": "phrase",
                                                "operator": "and"
                                            }
                                        },
                                        {
                                            "multi_match": {
                                                "query": "数轴上A、B两点所表示的有理数的和是",
                                                "fields": ["question^3", "question.raw^3", "question.english^1"],
                                                "type": "phrase_prefix",
                                                "operator": "and"
                                            }
                                        }
                                    ],
                                    "minimum_should_match": "1"
                                }
                            }
                        ]
                    }
                }
            ]
        }
    }
}'''


query_dict = ujson.loads(query_string)
response = es.search(index='questions_index', body=query_dict)

for hit in response['hits']['hits']:
    print(hit['_source'])
相关推荐
susu10830189111 小时前
Debian 11 Bullseye 在线安装docker
运维·docker·debian
love530love2 小时前
Docker 稳定运行与存储优化全攻略(含可视化指南)
运维·人工智能·windows·docker·容器
人生匆匆2 小时前
docker进入启动失败的容器
运维·docker·容器
huisheng_qaq5 小时前
【ElasticSearch实用篇-01】需求分析和数据制造
大数据·elasticsearch·制造
魂尾ac6 小时前
Centos Docker 安装(100%成功)
linux·docker·centos
Johny_Zhao12 小时前
Docker + CentOS 部署 Zookeeper 集群 + Kubernetes Operator 自动化运维方案
linux·网络安全·docker·信息安全·zookeeper·kubernetes·云计算·系统运维
zwjapple13 小时前
docker-compose一键部署全栈项目。springboot后端,react前端
前端·spring boot·docker
ldj202014 小时前
Jenkins 部署脚本
jenkins
你想考研啊14 小时前
三、jenkins使用tomcat部署项目
运维·tomcat·jenkins
代码老y15 小时前
Docker:容器化技术的基石与实践指南
运维·docker·容器