36

Spring Boot 2 整合 ElasticSearch 框架,实现高性能搜索引擎

 4 years ago
source link: https://mp.weixin.qq.com/s?__biz=MzU4Njg0MzYwNw%3D%3D&%3Bmid=2247483905&%3Bidx=1&%3Bsn=f15ecc1ab3065c24854a02741db0aa0c&%3Bchksm=fdf456b9ca83dfaf937f370981432f98d2c5d7d0c7638df6206ffd22c2db79b7924c19e90931&%3Btoken=202436705&%3Blang=zh_CN
Go to the source link to view the article. You can view the picture content, updated content and better typesetting reading experience. If the link is broken, please click the button below to view the snapshot at that time.

一、安装和简介 

ElasticSearch是一个基于Lucene的搜索服务器。它提供了一个分布式多用户能力的全文搜索引擎,基于RESTful web接口。Elasticsearch是用Java开发的,并作为Apache许可条款下的开放源码发布,是当前流行的企业级搜索引擎。

环境搭建

Linux系统:centos7下搭建ElasticSearch中间件,常用接口演示

二、与SpringBoot2整合 

1、核心依赖

<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-elasticsearch</artifactId>
<version>${spring-boot.version}</version>
</dependency>

2、配置文件

spring:
application:
name: ware-elastic-search
data:
elasticsearch:
# 默认 elasticsearch
cluster-name: elasticsearch
# 9200作为Http协议,主要用于外部通讯
# 9300作为Tcp协议,jar之间就是通过tcp协议通讯
cluster-nodes: 192.168.72.130:9300

3、实体类配置

Document 配置

加上了@Document注解之后,默认情况下这个实体中所有的属性都会被建立索引、并且分词。

indexName索引名称 理解为数据库名 限定小写

type 理解为数据库的表名称

shards = 5 默认分区数

replicas = 1 每个分区默认的备份数

refreshInterval = "1s" 刷新间隔

indexStoreType = "fs" 索引文件存储类型

源码配置

@Document(indexName = "requestlogindex",type = "requestlog")
public class RequestLog {
//Id注解Elasticsearch里相应于该列就是主键,查询时可以使用主键查询
@Id
private Long id;
private String orderNo;
private String userId;
private String userName;
private String createTime;
}

4、数据交互层

实现ElasticsearchRepository接口。

public interface RequestLogRepository 
extends ElasticsearchRepository<RequestLog,Long>
{
}

5、演示案例

数据增加,修改,查询,排序,多条件查询。

@Service
public class RequestLogServiceImpl implements RequestLogService {
@Resource
private RequestLogRepository requestLogRepository ;
@Override
public String esInsert(Integer num) {
for (int i = 0 ; i < num ; i++){
RequestLog requestLog = new RequestLog() ;
requestLog.setId(System.currentTimeMillis());
requestLog.setOrderNo(DateUtil.formatDate(new Date(),DateUtil.DATE_FORMAT_02)+System.currentTimeMillis());
requestLog.setUserId("userId"+i);
requestLog.setUserName("张三"+i);
requestLog.setCreateTime(DateUtil.formatDate(new Date(),DateUtil.DATE_FORMAT_01));
requestLogRepository.save(requestLog) ;
}
return "success" ;
}
@Override
public Iterable<RequestLog> esFindAll (){
return requestLogRepository.findAll() ;
}
@Override
public String esUpdateById(RequestLog requestLog) {
requestLogRepository.save(requestLog);
return "success" ;
}
@Override
public Optional<RequestLog> esSelectById(Long id) {
return requestLogRepository.findById(id) ;
}
@Override
public Iterable<RequestLog> esFindOrder() {
// 用户名倒序
// Sort sort = new Sort(Sort.Direction.DESC,"userName.keyword") ;
// 创建时间正序
Sort sort = new Sort(Sort.Direction.ASC,"createTime.keyword") ;
return requestLogRepository.findAll(sort) ;
}
@Override
public Iterable<RequestLog> esFindOrders() {
List<Sort.Order> sortList = new ArrayList<>() ;
Sort.Order sort1 = new Sort.Order(Sort.Direction.ASC,"createTime.keyword") ;
Sort.Order sort2 = new Sort.Order(Sort.Direction.DESC,"userName.keyword") ;
sortList.add(sort1) ;
sortList.add(sort2) ;
Sort orders = Sort.by(sortList) ;
return requestLogRepository.findAll(orders) ;
}
@Override
public Iterable<RequestLog> search() {
// 全文搜索关键字
/*
String queryString="张三";
QueryStringQueryBuilder builder = new QueryStringQueryBuilder(queryString);
requestLogRepository.search(builder) ;
*/

/*
* 多条件查询
*/

QueryBuilder builder = QueryBuilders.boolQuery()
// .must(QueryBuilders.matchQuery("userName.keyword", "历张")) 搜索不到
.must(QueryBuilders.matchQuery("userName", "张三")) // 可以搜索
.must(QueryBuilders.matchQuery("orderNo", "20190613736278243"));
return requestLogRepository.search(builder) ;
}
}

三、源代码地址 

GitHub地址:知了一笑
https://github.com/cicadasmile/middle-ware-parent
码云地址:知了一笑
https://gitee.com/cicadasmile/middle-ware-parent

quEzaiv.jpg!web


About Joyk


Aggregate valuable and interesting links.
Joyk means Joy of geeK