Redis实现高性能的全文搜索引擎---RediSearch

RediSearch是一个Redis模块，为Redis提供查询、二次索引和全文搜索，他的性能甚至比es还要高。

安装：

docker pull redislabs/redismod:preview

启动容器：

注意端口号不要和redis冲突了：

docker run -p 6399:6379 --name redismod  -v /mydata/redismod/data:/data -d redislabs/redismod:preview

使用springboot 集成一下：

pom

<dependency>
      <groupId>com.redislabs</groupId>
      <artifactId>jredisearch</artifactId>
      <version>1.8.1</version>
    </dependency>
    <dependency>
      <groupId>cn.hutool</groupId>
      <artifactId>hutool-all</artifactId>
      <version>5.3.10</version>
    </dependency>
    <dependency>
      <groupId>com.hankcs</groupId>
      <artifactId>hanlp</artifactId>
      <version>portable-1.7.8</version>
    </dependency>

代码

package com.example.demo.Utils.RedisearchUtills;
import io.redisearch.*;
import io.redisearch.client.AddOptions;
import io.redisearch.client.Client;
import java.util.HashMap;
import java.util.Map;

public class redisearchMain {

    public static void main(String[] args) {
        Client client = new Client("student", "120.48.54.67", 6399);

        // 定义一个索引模式
        Schema schema = new Schema().addTextField("title", 5.0).addTextField("body", 1.0).addNumericField("star");

        // 首次run 可以先注释掉
        client.dropIndex();//先清除索引

        // 创建索引
        client.createIndex(schema, Client.IndexOptions.Default());

        // 向索引中添加文档
        Map<String, Object> fields1 = createDocument("任何视频", "新文档中不存在的内容将被保留。两者中存在的字段都会被覆盖", 1000);
        Map<String, Object> fields2 = createDocument("任何通信", "新文档中不存在的内容将丢失", 500);

//        client.addDocument("doc1", fields1);
//        client.addDocument("doc2", fields2);
        Document doc1 = new Document("doc1", fields1, 1.0, null);
        Document doc2 = new Document("doc2", fields2, 1.0, null);
        AddOptions options = new AddOptions().setNosave(false);
        options.setLanguage("chinese");
        client.addDocument(doc1, options);
        client.addDocument(doc2, options);

        Query query = new Query("内容").addFilter(new Query.NumericFilter("star", 0, 1500)).setWithScores().limit(0, 10);
        SearchResult result = client.search(query);
        result.docs.stream().forEach(docs->
                System.out.println("====="+docs)
        );
    }

    private static Map<String, Object> createDocument(String title, String body, Integer price){
        Map<String, Object> fields = new HashMap<String, Object>();
        fields.put("title", title);
        fields.put("body", body);
        fields.put("star", price);
        return fields;
    }

}