Elasticsearch入门

环境准备

下载使用7.8版本:https://www.elastic.co/cn/downloads/past-releases/elasticsearch-7-8-0

解压后,进入 bin 文件目录,点击 elasticsearch.bat 文件启动 ES 服务 。
image

注意: 9300 端口为 Elasticsearch 集群间组件的通信端口, 9200 端口为浏览器访问的 http协议 RESTful 端口。
打开浏览器,输入地址: http://localhost:9200, 测试返回结果,返回结果如下:
image

RESTful & JSON

REST 指的是一组架构约束条件和原则。满足这些约束条件和原则的应用程序或设计就是 RESTful。 Web 应用程序最重要的 REST 原则是,客户端和服务器之间的交互在请求之间是无状态的。从客户端到服务器的每个请求都必须包含理解请求所必需的信息。如果服务器在请求之间的任何时间点重启,客户端不会得到通知。此外,无状态请求可以由任何可用服务器回答,这十分适合云计算之类的环境。客户端可以缓存数据以改进性能。

在服务器端,应用程序状态和功能可以分为各种资源。资源是一个有趣的概念实体,它向客户端公开。资源的例子有:应用程序对象、数据库记录、算法等等。每个资源都使用 URI(Universal Resource Identifier) 得到一个唯一的地址。所有资源都共享统一的接口,以便在客户端和服务器之间传输状态。使用的是标准的 HTTP 方法,比如 GET、 PUT、 POST 和DELETE。

在 REST 样式的 Web 服务中,每个资源都有一个地址。资源本身都是方法调用的目
标,方法列表对所有资源都是一样的。这些方法都是标准方法,包括 HTTP GET、 POST、PUT、 DELETE,还可能包括 HEAD 和 OPTIONS。简单的理解就是,如果想要访问互联网上的资源,就必须向资源所在的服务器发出请求,请求体中必须包含资源的网络路径, 以及对资源进行的操作(增删改查)。

REST 样式的 Web 服务若有返回结果,大多数以JSON字符串形式返回。

倒排索引

  • 正排索引(传统)
    |id |content|
    |----|----|
    |1001 |my name is zhang san|
    |1002 |my name is li si|

  • 倒排索引
    |keyword |id|
    |----|----|
    |name |1001, 1002|
    |zhang |1001|

Elasticsearch 是面向文档型数据库,一条数据在这里就是一个文档。 为了方便大家理解,我们将 Elasticsearch 里存储文档数据和关系型数据库 MySQL 存储数据的概念进行一个类比
image

ES 里的 Index 可以看做一个库,而 Types 相当于表, Documents 则相当于表的行。这里 Types 的概念已经被逐渐弱化, Elasticsearch 6.X 中,一个 index 下已经只能包含一个type, Elasticsearch 7.X 中, Type 的概念已经被删除了。

HTTP-索引-创建

对比关系型数据库,创建索引就等同于创建数据库。

在 Postman 中,向 ES 服务器发 PUT 请求 : http://127.0.0.1:9200/shopping 等于意思就是创建一个名叫shopping 的索引
请求后,服务器返回响应:
image

因为已经创建成功,如果再次请求,会报错已经存在
image

如果换post请求,也会报错不允许post请求
image

HTTP-索引-查询 & 删除

查询指定索引

使用GET 方式请求http://127.0.0.1:9200/shopping
image

查看所有索引

在 Postman 中,向 ES 服务器发 GET 请求 : http://127.0.0.1:9200/_cat/indices?v
image

这里请求路径中的_cat 表示查看的意思, indices 表示索引,所以整体含义就是查看当前 ES服务器中的所有索引,就好像 MySQL 中的 show tables 的感觉,服务器响应结果如下 :

表头 含义
health 当前服务器健康状态: green(集群完整) yellow(单点正常、集群不完整) red(单点不正常)
status 索引打开、关闭状态
index 索引名
uuid 索引统一编号
pri 主分片数量
rep 副本数量
docs.count 可用文档数量
docs.deleted 文档删除状态(逻辑删除)
store.size 主分片和副分片整体占空间大小
pri.store.size 主分片占空间大小

删除索引

在 Postman 中,向 ES 服务器发 DELETE 请求 : http://127.0.0.1:9200/shopping
image

删除后在查询所有索引,发现已经没有索引了
image

HTTP-文档-创建(Put & Post)

假设索引已经创建好了,接下来我们来创建文档,并添加数据。这里的文档可以类比为关系型数据库中的表数据,添加的数据格式为 JSON 格式

在 Postman 中,向 ES 服务器发 POST 请求 : http://127.0.0.1:9200/shopping/_doc 请求体JSON内容为:
image
如果再次请求,就会再次有新的索引id,多次请求是不一样的,因为POST 请求方式没有要求幂等性,但是PUT 请求必须是幂等性的,所以使用PUT请求就会报错

自定义主键id

自定义唯一性标识,需要在创建时指定: http://127.0.0.1:9200/shopping/_doc/1001
那么创建成功后的文档索引就是1001
image

既然是自定义的,那就算是幂等性的,所以自定义主键时创建文档可以使用PUT 方式请求
image

因为是创建,所以把请求路径中的_doc 改成_create 也行
image

HTTP-查询-主键查询 & 全查询

查看文档时,需要指明文档的唯一性标识,类似于 MySQL 中数据的主键查询
在 Postman 中,向 ES 服务器发 GET 请求 : http://127.0.0.1:9200/shopping/_doc/1001
image

如果查找不存在的数据:http://127.0.0.1:9200/shopping/_doc/2001 2001这个之前没有创建过,所以肯定没有的
image

查询所有数据

同样使用GET 请求,请求路径修改问:http://127.0.0.1:9200/shopping/_search
就可以把所有数据都给查询到
image

HTTP-全量修改 & 局部修改 & 删除

全量修改

和新增文档一样,输入相同的 URL 地址请求,如果请求体变化,会将原有的数据内容覆盖
在 Postman 中,向 ES 服务器发 PUT 请求 : http://127.0.0.1:9200/shopping/_doc/1001
image
请求时候可以自定义修改文档数据内容
然后查询,GET 请求:http://127.0.0.1:9200/shopping/_doc/1001
image
说明确实修改成功

局部修改

修改数据时,也可以只修改某一给条数据的局部信息

在 Postman 中,向 ES 服务器发 POST 请求 : http://127.0.0.1:9200/shopping/_update/1001
求情路径把_doc 改为_update 表示为修改,以免以为是添加数据
然后请求的body 稍微修改一下
image

查询验证是否修改,GET 请求查询:http://127.0.0.1:9200/shopping/_doc/1001
image

删除

DELETE 请求:http://127.0.0.1:9200/shopping/_doc/1001
image

如果再次删除1001主键的数据,会提示找不到,因为数据已经删了,没有了
image

HTTP-条件查询 & 分页查询 & 查询排序

条件查询

假设有以下文档内容,在 Postman 中,向 ES 服务器发 GET请求 : http://127.0.0.1:9200/shopping/_search
image

分页查询

发 GET请求 : http://127.0.0.1:9200/shopping/_search
image

如果不想查找所有数据,只想查找title 的数据,修改请求体
image

查询排序

如果你想通过排序查出价格最高的手机,在 Postman 中,向 ES 服务器发 GET请求 : http://127.0.0.1:9200/shopping/_search
image

HTTP-多条件查询 & 范围查询

多条件查询

假设想找出小米牌子,价格为3999元的。must相当于数据库的&&
在 Postman 中,向 ES 服务器发 GET请求 : http://127.0.0.1:9200/shopping/_search 附带JSON体如下:
image

假设想找出小米和华为的牌子。should相当于数据库的||
在 Postman 中,向 ES 服务器发 GET请求 : http://127.0.0.1:9200/shopping/_search 附带JSON体如下
image

范围查询
假设想找出小米和华为的牌子,价格大于2000元的手机。
在 Postman 中,向 ES 服务器发 GET请求 : http://127.0.0.1:9200/shopping/_search 附带JSON体如下:
image

HTTP-全文检索 & 完全匹配 & 高亮查询

全文检索

这功能像搜索引擎那样,如品牌输入“小华”,返回结果带回品牌有“小米”和华为的。
在 Postman 中,向 ES 服务器发 GET请求 : http://127.0.0.1:9200/shopping/_search 附带JSON体如下:
image

完全匹配

在 Postman 中,向 ES 服务器发 GET请求 : http://127.0.0.1:9200/shopping/_search 附带JSON体如下
这次写“小华” 就不行了,必须要是完全匹配才行
image

高亮查询

在 Postman 中,向 ES 服务器发 GET请求 : http://127.0.0.1:9200/shopping/_search 附带JSON体如下:
image

HTTP-聚合查询

聚合允许使用者对 es 文档进行统计分析,类似与关系型数据库中的 group by,当然还有很多其他的聚合,例如取最大值max、平均值avg等等。

接下来按price字段进行分组:
在 Postman 中,向 ES 服务器发 GET请求 : http://127.0.0.1:9200/shopping/_search 附带JSON体如下:
image

上面返回结果会附带原始数据的。若不想要不附带原始数据的结果,修改请求体:

{
	"aggs":{
		"price_group":{
			"terms":{
				"field":"price"
			}
		}
	},
    "size":0
}

若想对所有手机价格求平均值,修改请求体:

{
	"aggs":{
		"price_avg":{//名称,随意起名
			"avg":{//求平均
				"field":"price"
			}
		}
	},
    "size":0
}

HTTP-映射关系

有了索引库,等于有了数据库中的 database。

接下来就需要建索引库(index)中的映射了,类似于数据库(database)中的表结构(table)。

创建数据库表需要设置字段名称,类型,长度,约束等;索引库也一样,需要知道这个类型下有哪些字段,每个字段有哪些约束信息,这就叫做映射(mapping)。

先创建一个索引:PUT 请求:http://127.0.0.1:9200/user
image

创建映射:PUT 请求:http://127.0.0.1:9200/user/_mapping
image

然后使用GET 请求查询,可以查出来的
image

然后开始添加测试数据
image

查找name含有”小“数据:GET 请求:http://127.0.0.1:9200/user/_search
image

查找sex含有”男“数据:GET 请求: http://127.0.0.1:9200/user/_search
image
找不想要的结果,只因创建映射时"sex"的类型为"keyword"。
"sex"只能完全为”男的“,才能得出原数据。

修改请求体,改成"男的"
image

查询电话,修改请求体
image
报错只因创建映射时"tel"的"index"为false。
image

入门-JavaAPI

环境准备

新建Maven工程。
添加依赖:

	<dependencies>
        <dependency>
            <groupId>org.elasticsearch</groupId>
            <artifactId>elasticsearch</artifactId>
            <version>7.8.0</version>
        </dependency>
        <!-- elasticsearch 的客户端 -->
        <dependency>
            <groupId>org.elasticsearch.client</groupId>
            <artifactId>elasticsearch-rest-high-level-client</artifactId>
            <version>7.8.0</version>
        </dependency>
        <!-- elasticsearch 依赖 2.x 的 log4j -->
        <dependency>
            <groupId>org.apache.logging.log4j</groupId>
            <artifactId>log4j-api</artifactId>
            <version>2.8.2</version>
        </dependency>
        <dependency>
            <groupId>org.apache.logging.log4j</groupId>
            <artifactId>log4j-core</artifactId>
            <version>2.8.2</version>
        </dependency>
        <dependency>
            <groupId>com.fasterxml.jackson.core</groupId>
            <artifactId>jackson-databind</artifactId>
            <version>2.9.9</version>
        </dependency>
        <!-- junit 单元测试 -->
        <dependency>
            <groupId>junit</groupId>
            <artifactId>junit</artifactId>
            <version>4.12</version>
        </dependency>
    </dependencies>

创建测试类:

import java.io.IOException;

import org.apache.http.HttpHost;
import org.elasticsearch.client.RestClient;
import org.elasticsearch.client.RestHighLevelClient;

public class HelloElasticsearch {

    public static void main(String[] args) throws IOException {
        // 创建客户端对象
        RestHighLevelClient client = new RestHighLevelClient(
                RestClient.builder(new HttpHost("localhost", 9200, "http"))
                                        );
//		...
        System.out.println(client);

        // 关闭客户端连接
        client.close();
    }
}

如果允许没有报错,就说明是没问题的

索引

创建

创建测试类:

import org.apache.http.HttpHost;
import org.elasticsearch.action.admin.indices.create.CreateIndexRequest;
import org.elasticsearch.action.admin.indices.create.CreateIndexResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestClient;
import org.elasticsearch.client.RestHighLevelClient;

import java.io.IOException;

public class CreateIndex {

    public static void main(String[] args) throws IOException {
        // 创建客户端对象
        RestHighLevelClient client = new RestHighLevelClient(
                RestClient.builder(new HttpHost("localhost", 9200, "http"))
        );

        // 创建索引 - 请求对象
        CreateIndexRequest request = new CreateIndexRequest("user2");
        // 发送请求,获取响应
        CreateIndexResponse response = client.indices().create(request, RequestOptions.DEFAULT);
        boolean acknowledged = response.isAcknowledged();
        // 响应状态
        System.out.println("操作状态 = " + acknowledged);

        // 关闭客户端连接
        client.close();
    }
}

控制台打印结果为:true,说明成功,可以使用postman 发送GET 请求:http://127.0.0.1:9200/_cat/indices?v 查看

查询 & 删除

查询
测试类:

import org.apache.http.HttpHost;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestClient;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.client.indices.GetIndexRequest;
import org.elasticsearch.client.indices.GetIndexResponse;

import java.io.IOException;

public class SearchIndex {
    public static void main(String[] args) throws IOException {
        // 创建客户端对象
        RestHighLevelClient client = new RestHighLevelClient(
                RestClient.builder(new HttpHost("localhost", 9200, "http"))
        );

        // 查询索引 - 请求对象
        GetIndexRequest request = new GetIndexRequest("user2");
        // 发送请求,获取响应
        GetIndexResponse response = client.indices().get(request, RequestOptions.DEFAULT);

        System.out.println("aliases:" + response.getAliases());
        System.out.println("mappings:" + response.getMappings());
        System.out.println("settings:" + response.getSettings());

        client.close();
    }
}

控制台打印:
image

删除
测试类:

import org.apache.http.HttpHost;
import org.elasticsearch.action.admin.indices.delete.DeleteIndexRequest;
import org.elasticsearch.action.support.master.AcknowledgedResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestClient;
import org.elasticsearch.client.RestHighLevelClient;

import java.io.IOException;

public class DeleteIndex {
    public static void main(String[] args) throws IOException {
        RestHighLevelClient client = new RestHighLevelClient(
                RestClient.builder(new HttpHost("localhost", 9200, "http"))
        );
        // 删除索引 - 请求对象
        DeleteIndexRequest request = new DeleteIndexRequest("user2");
        // 发送请求,获取响应
        AcknowledgedResponse response = client.indices().delete(request, RequestOptions.DEFAULT);
        // 操作结果
        System.out.println("操作结果 : " + response.isAcknowledged());

        client.close();
    }
}

控制台打印返回结果为true, 说明删除操作成功

文档

新增 & 修改

创建对象user

import lombok.Data;

@Data
public class User {
    private String name;
    private String sex;
    private Integer age;
}

新增

import com.fasterxml.jackson.databind.ObjectMapper;
import org.apache.http.HttpHost;
import org.elasticsearch.action.index.IndexRequest;
import org.elasticsearch.action.index.IndexResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestClient;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.common.xcontent.XContentType;

import java.io.IOException;

public class InsertDoc {

    public static void main(String[] args) throws IOException {
        // 创建客户端对象
        RestHighLevelClient client = new RestHighLevelClient(
                RestClient.builder(new HttpHost("localhost", 9200, "http"))
        );

        // 新增文档 - 请求对象
        IndexRequest request = new IndexRequest();
        // 设置索引及唯一性标识
        request.index("user").id("1001");

        // 创建数据对象
        User user = new User();
        user.setName("zhangsan");
        user.setAge(30);
        user.setSex("男");

        ObjectMapper objectMapper = new ObjectMapper();
        String productJson = objectMapper.writeValueAsString(user);
        // 添加文档数据,数据格式为 JSON 格式
        request.source(productJson, XContentType.JSON);
        // 客户端发送请求,获取响应对象
        IndexResponse response = client.index(request, RequestOptions.DEFAULT);
        // 打印结果信息
        System.out.println("_index:" + response.getIndex());
        System.out.println("_id:" + response.getId());
        System.out.println("_result:" + response.getResult());

        client.close();
    }
}

控制台打印:
image

修改

import org.apache.http.HttpHost;
import org.elasticsearch.action.update.UpdateRequest;
import org.elasticsearch.action.update.UpdateResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestClient;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.common.xcontent.XContentType;

import java.io.IOException;

public class UpdateDoc {

    public static void main(String[] args) throws IOException {
        // 创建客户端对象
        RestHighLevelClient client = new RestHighLevelClient(
                RestClient.builder(new HttpHost("localhost", 9200, "http"))
        );

        // 新增文档 - 请求对象
        UpdateRequest request = new UpdateRequest();
        request.index("user").id("1001");
        request.doc(XContentType.JSON, "sex", "女");
        UpdateResponse response = client.update(request, RequestOptions.DEFAULT);
        // 打印结果信息
        System.out.println(response.getResult());

        client.close();
    }
}

允许后,查看是否修改成功,postman 发送GET 请求:http://127.0.0.1:9200/user/_doc/1001
image

查询 & 删除

查询

import org.apache.http.HttpHost;
import org.elasticsearch.action.get.GetRequest;
import org.elasticsearch.action.get.GetResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestClient;
import org.elasticsearch.client.RestHighLevelClient;

import java.io.IOException;

public class GetDoc {

    public static void main(String[] args) throws IOException {
        // 创建客户端对象
        RestHighLevelClient client = new RestHighLevelClient(
                RestClient.builder(new HttpHost("localhost", 9200, "http"))
        );
        //1.创建请求对象
        GetRequest request = new GetRequest().index("user").id("1001");
        //2.客户端发送请求,获取响应对象
        GetResponse response = client.get(request, RequestOptions.DEFAULT);
        //3.打印结果信息
        System.out.println("source:" + response.getSourceAsString());

        client.close();
    }
}

运行后查看控制台:
image

删除

import org.apache.http.HttpHost;
import org.elasticsearch.action.delete.DeleteRequest;
import org.elasticsearch.action.delete.DeleteResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestClient;
import org.elasticsearch.client.RestHighLevelClient;

import java.io.IOException;

public class DeleteDoc {
    public static void main(String[] args) throws IOException {
        // 创建客户端对象
        RestHighLevelClient client = new RestHighLevelClient(
                RestClient.builder(new HttpHost("localhost", 9200, "http"))
        );
        //创建请求对象
        DeleteRequest request = new DeleteRequest().index("user").id("1001");
        //客户端发送请求,获取响应对象
        DeleteResponse response = client.delete(request, RequestOptions.DEFAULT);
        //打印信息
        System.out.println(response.toString());

        client.close();
    }
}

执行后,确实查不到了
image

批量新增 & 批量删除

批量新增

import org.apache.http.HttpHost;
import org.elasticsearch.action.bulk.BulkRequest;
import org.elasticsearch.action.bulk.BulkResponse;
import org.elasticsearch.action.index.IndexRequest;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestClient;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.common.xcontent.XContentType;

import java.io.IOException;

public class BatchInsertDoc {

    public static void main(String[] args) throws IOException {
        // 创建客户端对象
        RestHighLevelClient client = new RestHighLevelClient(
                RestClient.builder(new HttpHost("localhost", 9200, "http"))
        );

        //创建批量新增请求对象
        BulkRequest request = new BulkRequest();
        request.add(new IndexRequest().index("user").id("1001").source(XContentType.JSON, "name", "zhangsan"));
        request.add(new IndexRequest().index("user").id("1002").source(XContentType.JSON, "name", "lisi"));
        request.add(new IndexRequest().index("user").id("1003").source(XContentType.JSON, "name", "wangwu"));
        //客户端发送请求,获取响应对象
        BulkResponse responses = client.bulk(request, RequestOptions.DEFAULT);
        //打印结果信息
        System.out.println("took:" + responses.getTook());
        System.out.println("items:" + responses.getItems());

        client.close();
    }
}

批量删除

import org.apache.http.HttpHost;
import org.elasticsearch.action.bulk.BulkRequest;
import org.elasticsearch.action.bulk.BulkResponse;
import org.elasticsearch.action.delete.DeleteRequest;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestClient;
import org.elasticsearch.client.RestHighLevelClient;

import java.io.IOException;

public class BatchDeleteDoc {
    public static void main(String[] args) throws IOException {
        // 创建客户端对象
        RestHighLevelClient client = new RestHighLevelClient(
                RestClient.builder(new HttpHost("localhost", 9200, "http"))
        );

        //创建批量删除请求对象
        BulkRequest request = new BulkRequest();
        request.add(new DeleteRequest().index("user").id("1001"));
        request.add(new DeleteRequest().index("user").id("1002"));
        request.add(new DeleteRequest().index("user").id("1003"));
        //客户端发送请求,获取响应对象
        BulkResponse responses = client.bulk(request, RequestOptions.DEFAULT);
        //打印结果信息
        System.out.println("took:" + responses.getTook());
        System.out.println("items:" + responses.getItems());

        client.close();
    }
}

高级查询

全量查询

先批量增加数据:

import org.apache.http.HttpHost;
import org.elasticsearch.action.bulk.BulkRequest;
import org.elasticsearch.action.bulk.BulkResponse;
import org.elasticsearch.action.index.IndexRequest;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestClient;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.common.xcontent.XContentType;

import java.io.IOException;

public class BatchInsertDoc {

    public static void main(String[] args) throws IOException {
        // 创建客户端对象
        RestHighLevelClient client = new RestHighLevelClient(
                RestClient.builder(new HttpHost("localhost", 9200, "http"))
        );

        //创建批量新增请求对象
        BulkRequest request = new BulkRequest();
        request.add(new IndexRequest().index("user").id("1001").source(XContentType.JSON, "name", "zhangsan", "age", "10", "sex", "女"));
        request.add(new IndexRequest().index("user").id("1002").source(XContentType.JSON, "name", "lisi", "age", "30", "sex", "女"));
        request.add(new IndexRequest().index("user").id("1003").source(XContentType.JSON, "name", "wangwu1", "age", "40", "sex", "男"));
        request.add(new IndexRequest().index("user").id("1004").source(XContentType.JSON, "name", "wangwu2", "age", "20", "sex", "女"));
        request.add(new IndexRequest().index("user").id("1005").source(XContentType.JSON, "name", "wangwu3", "age", "50", "sex", "男"));
        request.add(new IndexRequest().index("user").id("1006").source(XContentType.JSON, "name", "wangwu4", "age", "20", "sex", "男"));
        BulkResponse responses = client.bulk(request, RequestOptions.DEFAULT);
        //打印结果信息
        System.out.println("took:" + responses.getTook());
        System.out.println("items:" + responses.getItems());

        client.close();
    }
}

查询所有索引数据

import org.apache.http.HttpHost;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestClient;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.builder.SearchSourceBuilder;

import java.io.IOException;

public class QueryDoc {

    public static void main(String[] args) throws IOException {
        // 创建客户端对象
        RestHighLevelClient client = new RestHighLevelClient(
                RestClient.builder(new HttpHost("localhost", 9200, "http"))
        );
        // 创建搜索请求对象
        SearchRequest request = new SearchRequest();
        request.indices("user");
        // 构建查询的请求体
        SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
        // 查询所有数据
        sourceBuilder.query(QueryBuilders.matchAllQuery());
        request.source(sourceBuilder);
        SearchResponse response = client.search(request, RequestOptions.DEFAULT);
        // 查询匹配
        SearchHits hits = response.getHits();
        System.out.println("took:" + response.getTook());
        System.out.println("timeout:" + response.isTimedOut());
        System.out.println("total:" + hits.getTotalHits());
        System.out.println("MaxScore:" + hits.getMaxScore());
        System.out.println("hits========>>");
        for (SearchHit hit : hits) {
            //输出每条查询的结果信息
            System.out.println(hit.getSourceAsString());
        }
        System.out.println("<<========");

        client.close();
    }
}

控制台打印:
image

分页查询 & 条件查询 & 查询排序

条件查询
找出年龄30岁的

import org.apache.http.HttpHost;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestClient;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.builder.SearchSourceBuilder;

import java.io.IOException;

public class ConditionQueryDoc {
    public static void main(String[] args) throws IOException {
        // 创建客户端对象
        RestHighLevelClient client = new RestHighLevelClient(
                RestClient.builder(new HttpHost("localhost", 9200, "http"))
        );

        // 创建搜索请求对象
        SearchRequest request = new SearchRequest();
        request.indices("user");
        // 构建查询的请求体
        SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
        sourceBuilder.query(QueryBuilders.termQuery("age", "30"));
        request.source(sourceBuilder);
        SearchResponse response = client.search(request, RequestOptions.DEFAULT);
        // 查询匹配
        SearchHits hits = response.getHits();
        System.out.println("took:" + response.getTook());
        System.out.println("timeout:" + response.isTimedOut());
        System.out.println("total:" + hits.getTotalHits());
        System.out.println("MaxScore:" + hits.getMaxScore());
        System.out.println("hits========>>");
        for (SearchHit hit : hits) {
            //输出每条查询的结果信息
            System.out.println(hit.getSourceAsString());
        }
        System.out.println("<<========");

        client.close();
    }
}

控制台输出:
image

分页查询
第0页,每页显示2条

import org.apache.http.HttpHost;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestClient;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.builder.SearchSourceBuilder;

import java.io.IOException;

public class PagingQueryDoc {
    public static void main(String[] args) throws IOException {
        // 创建客户端对象
        RestHighLevelClient client = new RestHighLevelClient(
                RestClient.builder(new HttpHost("localhost", 9200, "http"))
        );

        // 创建搜索请求对象
        SearchRequest request = new SearchRequest();
        request.indices("user");
        // 构建查询的请求体
        SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
        sourceBuilder.query(QueryBuilders.matchAllQuery());
        // 分页查询
        // 当前页其实索引(第一条数据的顺序号), from
        sourceBuilder.from(0);

        // 每页显示多少条 size
        sourceBuilder.size(2);
        request.source(sourceBuilder);
        SearchResponse response = client.search(request, RequestOptions.DEFAULT);
        // 查询匹配
        SearchHits hits = response.getHits();
        System.out.println("took:" + response.getTook());
        System.out.println("timeout:" + response.isTimedOut());
        System.out.println("total:" + hits.getTotalHits());
        System.out.println("MaxScore:" + hits.getMaxScore());
        System.out.println("hits========>>");
        for (SearchHit hit : hits) {
            //输出每条查询的结果信息
            System.out.println(hit.getSourceAsString());
        }
        System.out.println("<<========");

        client.close();
    }
}

控制台打印:
image

查询排序
根据年龄排序

import org.apache.http.HttpHost;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestClient;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.sort.SortOrder;

import java.io.IOException;

public class SortQueryDoc {
    public static void main(String[] args) throws IOException {
        // 创建客户端对象
        RestHighLevelClient client = new RestHighLevelClient(
                RestClient.builder(new HttpHost("localhost", 9200, "http"))
        );

        // 创建搜索请求对象
        SearchRequest request = new SearchRequest();
        request.indices("user");

        // 构建查询的请求体
        SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
        sourceBuilder.query(QueryBuilders.matchAllQuery());
        // 排序
        sourceBuilder.sort("age", SortOrder.ASC);
        request.source(sourceBuilder);
        SearchResponse response = client.search(request, RequestOptions.DEFAULT);
        // 查询匹配
        SearchHits hits = response.getHits();
        System.out.println("took:" + response.getTook());
        System.out.println("timeout:" + response.isTimedOut());
        System.out.println("total:" + hits.getTotalHits());
        System.out.println("MaxScore:" + hits.getMaxScore());
        System.out.println("hits========>>");
        for (SearchHit hit : hits) {
            //输出每条查询的结果信息
            System.out.println(hit.getSourceAsString());
        }
        System.out.println("<<========");

        client.close();
    }
}

控制台打印:
image

组合查询 & 范围查询

组合查询

import org.apache.http.HttpHost;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestClient;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.index.query.BoolQueryBuilder;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.builder.SearchSourceBuilder;

import java.io.IOException;

public class CombinationQueryDoc {
    public static void main(String[] args) throws IOException {
        // 创建客户端对象
        RestHighLevelClient client = new RestHighLevelClient(
                RestClient.builder(new HttpHost("localhost", 9200, "http"))
        );

        // 创建搜索请求对象
        SearchRequest request = new SearchRequest();
        request.indices("user");
        // 构建查询的请求体
        SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
        BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();
        // 必须包含
        boolQueryBuilder.must(QueryBuilders.matchQuery("age", "30"));
        // 一定不含
        boolQueryBuilder.mustNot(QueryBuilders.matchQuery("name", "zhangsan"));
        // 可能包含
        boolQueryBuilder.should(QueryBuilders.matchQuery("sex", "男"));
        sourceBuilder.query(boolQueryBuilder);
        request.source(sourceBuilder);
        SearchResponse response = client.search(request, RequestOptions.DEFAULT);
        // 查询匹配
        SearchHits hits = response.getHits();
        System.out.println("took:" + response.getTook());
        System.out.println("timeout:" + response.isTimedOut());
        System.out.println("total:" + hits.getTotalHits());
        System.out.println("MaxScore:" + hits.getMaxScore());
        System.out.println("hits========>>");
        for (SearchHit hit : hits) {
            //输出每条查询的结果信息
            System.out.println(hit.getSourceAsString());
        }
        System.out.println("<<========");

        client.close();
    }
}

控制台打印:
image

范围查询

import org.apache.http.HttpHost;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestClient;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.index.query.RangeQueryBuilder;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.builder.SearchSourceBuilder;

import java.io.IOException;

public class ScopeQueryDoc {
    public static void main(String[] args) throws IOException {
        // 创建客户端对象
        RestHighLevelClient client = new RestHighLevelClient(
                RestClient.builder(new HttpHost("localhost", 9200, "http"))
        );

        // 创建搜索请求对象
        SearchRequest request = new SearchRequest();
        request.indices("user");
        // 构建查询的请求体
        SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
        RangeQueryBuilder rangeQuery = QueryBuilders.rangeQuery("age");
        // 大于等于
        //rangeQuery.gte("30");
        // 小于等于
        rangeQuery.lte("40");
        sourceBuilder.query(rangeQuery);
        request.source(sourceBuilder);
        SearchResponse response = client.search(request, RequestOptions.DEFAULT);
        // 查询匹配
        SearchHits hits = response.getHits();
        System.out.println("took:" + response.getTook());
        System.out.println("timeout:" + response.isTimedOut());
        System.out.println("total:" + hits.getTotalHits());
        System.out.println("MaxScore:" + hits.getMaxScore());
        System.out.println("hits========>>");
        for (SearchHit hit : hits) {
            //输出每条查询的结果信息
            System.out.println(hit.getSourceAsString());
        }
        System.out.println("<<========");

        client.close();
    }
}

控制台打印:
image

模糊查询 & 高亮查询

模糊查询

import org.apache.http.HttpHost;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestClient;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.common.unit.Fuzziness;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.builder.SearchSourceBuilder;

import java.io.IOException;

public class DimQueryDoc {
    public static void main(String[] args) throws IOException {
        // 创建客户端对象
        RestHighLevelClient client = new RestHighLevelClient(
                RestClient.builder(new HttpHost("localhost", 9200, "http"))
        );

        // 创建搜索请求对象
        SearchRequest request = new SearchRequest();
        request.indices("user");
        // 构建查询的请求体
        SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
        sourceBuilder.query(QueryBuilders.fuzzyQuery("name","wangwu").fuzziness(Fuzziness.ONE));
        request.source(sourceBuilder);
        SearchResponse response = client.search(request, RequestOptions.DEFAULT);
        // 查询匹配
        SearchHits hits = response.getHits();
        System.out.println("took:" + response.getTook());
        System.out.println("timeout:" + response.isTimedOut());
        System.out.println("total:" + hits.getTotalHits());
        System.out.println("MaxScore:" + hits.getMaxScore());
        System.out.println("hits========>>");
        for (SearchHit hit : hits) {
            //输出每条查询的结果信息
            System.out.println(hit.getSourceAsString());
        }
        System.out.println("<<========");

        client.close();
    }
}

控制台打印:
image

高亮查询

import org.apache.http.HttpHost;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestClient;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.index.query.TermsQueryBuilder;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightField;

import java.io.IOException;
import java.util.Map;

public class HighilghtQueryDoc {
    public static void main(String[] args) throws IOException {
        // 创建客户端对象
        RestHighLevelClient client = new RestHighLevelClient(
                RestClient.builder(new HttpHost("localhost", 9200, "http"))
        );

        // 高亮查询
        SearchRequest request = new SearchRequest().indices("user");
        //2.创建查询请求体构建器
        SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
        //构建查询方式:高亮查询
        TermsQueryBuilder termsQueryBuilder = QueryBuilders.termsQuery("name", "zhangsan");
        //设置查询方式
        sourceBuilder.query(termsQueryBuilder);
        //构建高亮字段
        HighlightBuilder highlightBuilder = new HighlightBuilder();
        highlightBuilder.preTags("<font color='red'>");//设置标签前缀
        highlightBuilder.postTags("</font>");//设置标签后缀
        highlightBuilder.field("name");//设置高亮字段
        //设置高亮构建对象
        sourceBuilder.highlighter(highlightBuilder);
        //设置请求体
        request.source(sourceBuilder);
        //3.客户端发送请求,获取响应对象
        SearchResponse response = client.search(request, RequestOptions.DEFAULT);
        //4.打印响应结果
        SearchHits hits = response.getHits();
        System.out.println("took::" + response.getTook());
        System.out.println("time_out::" + response.isTimedOut());
        System.out.println("total::" + hits.getTotalHits());
        System.out.println("max_score::" + hits.getMaxScore());
        System.out.println("hits::::>>");
        for (SearchHit hit : hits) {
            String sourceAsString = hit.getSourceAsString();
            System.out.println(sourceAsString);
            //打印高亮结果
            Map<String, HighlightField> highlightFields = hit.getHighlightFields();
            System.out.println(highlightFields);
        }
        System.out.println("<<::::");

        client.close();
    }
}

控制台打印:
image

最大值查询 & 分组查询

最大值查询

import org.apache.http.HttpHost;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestClient;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.builder.SearchSourceBuilder;

import java.io.IOException;

public class MaximumValueQueryDoc {
    public static void main(String[] args) throws IOException {
        // 创建客户端对象
        RestHighLevelClient client = new RestHighLevelClient(
                RestClient.builder(new HttpHost("localhost", 9200, "http"))
        );

        SearchRequest request = new SearchRequest().indices("user");
        SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
        sourceBuilder.aggregation(AggregationBuilders.max("maxAge").field("age"));
        //设置请求体
        request.source(sourceBuilder);
        //3.客户端发送请求,获取响应对象
        SearchResponse response = client.search(request, RequestOptions.DEFAULT);
        //4.打印响应结果
        SearchHits hits = response.getHits();
        System.out.println(response);

        client.close();
    }
}

分组查询

import org.apache.http.HttpHost;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestClient;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.builder.SearchSourceBuilder;

import java.io.IOException;

public class GroupingQueryDoc {
    public static void main(String[] args) throws IOException {
        // 创建客户端对象
        RestHighLevelClient client = new RestHighLevelClient(
                RestClient.builder(new HttpHost("localhost", 9200, "http"))
        );

        SearchRequest request = new SearchRequest().indices("user");
        SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
        sourceBuilder.aggregation(AggregationBuilders.terms("age_groupby").field("age"));
        //设置请求体
        request.source(sourceBuilder);
        //3.客户端发送请求,获取响应对象
        SearchResponse response = client.search(request, RequestOptions.DEFAULT);
        //4.打印响应结果
        SearchHits hits = response.getHits();
        System.out.println(response);

        client.close();
    }
}

1

posted @ 2024-03-27 08:28  aBiu--  阅读(44)  评论(0编辑  收藏  举报