基于Spring Data Jest的Elasticsarch数据统计

2018-03-01 11:15:17来源:网络收集作者:掬水手中月人点击

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命令查询职责分离模式(Command Query Responsibility Segregation,CQRS)从业务上分离修改 (Command,增,删,改,会对系统状态进行修改)和查询(Query,查,不会对系统状态进行修改)的行为。从而使得逻辑更加清晰,便于对不同部分进行针对性的优化。


CQRS有以下几点有点:



1.分工明确,可以负责不同的部分;
2.将业务上的命令和查询的职责分离能够提高系统的性能、可扩展性和安全性。并且在系统的演化中能够保持高度的灵活性,能够防止出现CRUD模式中,对查询或者修改中的某一方进行改动,导致另一方出现问题的情况;
3.逻辑清晰,能够看到系统中的那些行为或者操作导致了系统的状态变化;
4.可以从数据驱动(Data-Driven) 转到任务驱动(Task-Driven)以及事件驱动(Event-Driven)。

因此Command使用数据库,Query使用效率查询效率更高的Elasticsearch。


如何确保数据库和Elasticsearch的数据的一致性?




我们可以使用事件驱动(Event-Driven)即Spring Data的Domain Event同步数据,可参考博客: http://www.wisely.top/2017/06/20/spring-data-domain-event-usage/



当老数据库有大量数据需要导入Elasticsearch时,可参考博客: http://www.wisely.top/2018/02/24/spring-batch-elasticsearch/


Spring Data Elasticsearch使用的是transport client,而Elasticsearch官网推荐使用REST client。阿里云的Elasticsearch使用transport client目前还在存在问题,阿里云推荐使用REST client。


本示例使用的是Spring Data Jest链接Elasticsearch(目前只有spring boot2.0以上版本支持),Elasticsearch的版本为:5.5.3


1.项目构建

1.pom依赖如下:


com.github.vanroy
spring-boot-starter-data-jest
3.0.0.RELEASE


io.searchbox
jest
5.3.2


2.配置文件

spring:
data:
jest:
uri: http://127.0.0.1:9200
username: elastic
password: changeme
2.构造查询条件

以简单的实体类为例


package com.hfcsbc.esetl.domain;
import lombok.Data;
import org.springframework.data.elasticsearch.annotations.Document;
import org.springframework.data.elasticsearch.annotations.Field;
import org.springframework.data.elasticsearch.annotations.FieldType;
import javax.persistence.Entity;
import javax.persistence.Id;
import javax.persistence.OneToOne;
import java.util.Date;
import java.util.List;
/**
* Create by pengchao on 2018/2/23
*/
@Document(indexName = "person", type = "person", shards = 1, replicas = 0, refreshInterval = "-1")
@Entity
@Data
public class Person {
@Id
private Long id;
private String name;
@OneToOne
@Field(type = FieldType.Nested)
private List
address;
private Integer number;
private Integer status;
private Date birthDay;
}
package com.hfcsbc.esetl.domain;
import lombok.Data;
import javax.persistence.Entity;
import javax.persistence.Id;
/**
* Create by pengchao on 2018/2/23
*/
@Entity
@Data
public class Address {
@Id
private Long id;
private String name;
private Integer number;
}

1.根据多个状态查询(类似于sql的in)

BoolQueryBuilder orderStatusCondition = QueryBuilders.boolQuery()
.should(QueryBuilders.termQuery("status", 1))
.should(QueryBuilders.termQuery("status", 2))
.should(QueryBuilders.termQuery("status", 3))
.should(QueryBuilders.termQuery("status", 4))
.should(QueryBuilders.termQuery("status", 5));

2.and链接查询(类似于sql的and)

BoolQueryBuilder queryBuilder = QueryBuilders.boolQuery();
queryBuilder
.must(queryBuilder1)
.must(queryBuilder2)
.must(queryBuilder3);

3.range查询(类似于sql的between .. and ..)

QueryBuilder rangeQuery = QueryBuilders.rangeQuery("birthDay").from(yesterday).to(today);

4.嵌套对象查询

QueryBuilder queryBuilder = QueryBuilders.nestedQuery("nested", QueryBuilders.termQuery("address.id", 100001), ScoreMode.None);

ScoreMode: 定义other join side中score是如何被使用的。如果不关注scoring,我们只需要设置成ScoreMode.None,此种方式会忽略评分因此会更高效和节约内存


3.获取统计数据

1.非嵌套获取数据求和

SumAggregationBuilder sumBuilder = AggregationBuilders.sum("sum").field("number");
SearchQuery searchQuery = new NativeSearchQueryBuilder()
.withIndices(QUERY_INDEX)
.withTypes(QUERY_TYPE)
.withQuery(boolQueryBuilder)
.addAggregation(sumBuilder).build();

AggregatedPage account = (AggregatedPage) esParkingOrderRepository.search(EsQueryBuilders.buildYesterdayArrearsSumQuery(employeeId));
int sum = account.getAggregation("sum", SumAggregation.class).getSum().intValue();

2.嵌套数据求和

SumAggregationBuilder sumBuilder = AggregationBuilders.sum("sum").field("adress.num");
AggregationBuilder aggregationBuilder = AggregationBuilders.nested("nested", "adress").subAggregation(sumBuilder);
SearchQuery searchQuery = new NativeSearchQueryBuilder()
.withIndices(QUERY_INDEX)
.withTypes(QUERY_TYPE)
.withQuery(boolQueryBuilder)
.addAggregation((AbstractAggregationBuilder) aggregationBuilder).build();
AggregatedPage account = (AggregatedPage) esParkingOrderRepository.search(EsQueryBuilders.buildYesterdayArrearsSumQuery(employeeId));
int sum = account.getAggregation("nested", SumAggregation.class).getAggregation("sum", SumAggregation.class).getSum().intValue();

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