Elasticsearch 是一个分布式、高扩展、高实时的搜索与数据分析引擎。它能很方便的使大量数据具有搜索、分析和探索的能力,简称ES
欢迎使用 EasyElasticSearch,它是一个操作ElasticSearch的基础类库。是对NEST的进一步封装,所以在可以直接使用NEST的操作方法的同时,可以使用我封装的一些方法。主要提供了一些表达式函数查询的方法,使用起来特别简单方便。
其中表达式解析参考了SqlSuger,特此感谢 !
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Step 1: 安装必要的一些系统工具
sudo yum install -y yum-utils device-mapper-persistent-data lvm2
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Step 2: 添加软件源信息
sudo yum-config-manager --add-repo http://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo
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Step 3: 缓存并安装Docker-CE(可选)
sudo yum makecache fast
sudo yum -y install docker-ce
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Step 4: 开启Docker服务
sudo service docker start
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Step 5: 设置Docker开机自启动
systemctl enable docker
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Step 6: 启动Docker
systemctl start docker
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Step 7: 查看版本
docker --version
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Step 1: 安装
pip3 install docker-compose
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Step 2: 查看版本
docker-compose version
elasticsearch.yml
## Default Elasticsearch configuration from Elasticsearch base image.
## https://github.com/elastic/elasticsearch/blob/master/distribution/docker/src/docker/config/elasticsearch.yml
#
cluster.name: "docker-cluster"
network.host: 0.0.0.0
## X-Pack settings
## see https://www.elastic.co/guide/en/elasticsearch/reference/current/setup-xpack.html
#
xpack.license.self_generated.type: trial
xpack.security.enabled: false
xpack.monitoring.collection.enabled: false
docker-compose.yml
version: '3.2'
services:
elasticsearch:
restart: always
image: elasticsearch:7.10.0
volumes:
- type: bind
source: ./elasticsearch/config/elasticsearch.yml
target: /usr/share/elasticsearch/config/elasticsearch.yml
read_only: true
- type: volume
source: elasticsearch
target: /usr/share/elasticsearch/data
ports:
- "9200:9200"
- "9300:9300"
environment:
ES_JAVA_OPTS: "-Xmx256m -Xms256m"
ELASTIC_PASSWORD: changeme
# Use single node discovery in order to disable production mode and avoid bootstrap checks
# see https://www.elastic.co/guide/en/elasticsearch/reference/current/bootstrap-checks.html
discovery.type: single-node
networks:
elk:
driver: bridge
volumes:
elasticsearch:
安装
`docker-compose up --build -d --force-recreate`
安装谷歌插件, 解压缩安装,下载地址
[HttpGet]
public async Task<IActionResult> SearchAsync()
{
var data = await _searchProvider.Queryable<UserWallet>().Where(x => x.UserName.Contains("5")).ToListAsync();
return Success(data);
}
/// <summary>
/// 新增数据
/// </summary>
/// <returns></returns>
[HttpGet]
public async Task<IActionResult> InsertAsync()
{
var user = new UserWallet
{
UserId = "A112312312311",
UserName = $"U{DateTime.Now.Second.ToString()}",
CreateTime = DateTime.Now,
Money = 110m
};
await _indexProvider.InsertAsync(user);
return Success();
}
/// <summary>
/// 批量新增
/// </summary>
/// <returns></returns>
[HttpGet]
public async Task<IActionResult> InsertRangeAsync()
{
var users = new List<UserWallet>
{
new UserWallet
{
UserId = "B123123123",
UserName = $"U{DateTime.Now.Second.ToString()}",
CreateTime = DateTime.Now,
Money = 80m
},
new UserWallet
{
UserId = "B4564123156",
UserName = $"U{DateTime.Now.Second.ToString()}",
CreateTime = DateTime.Now,
Money = 90m
}
};
await _indexProvider.InsertRangeAsync(users);
return Success();
}
/// <summary>
/// 删除操作
/// </summary>
/// <returns></returns>
[HttpGet]
public async Task<IActionResult> Delete()
{
await _deleteProvider.DeleteByQuery<UserWallet>(x => x.UserName == "U44" || x.UserName == "U26");
return Success();
}