转自:https://blog.csdn.net/appearb…
目录
1. 需要
2. 设计思路
3. 架构图
4. 具体实现
1. 定义拦截器
2. 获取接口参数服务
3. 对外须要导入的注解
5. 同步到 ClickHouse
6. 内部零碎应用
7. 完结
1. 需要
记录服务接口调用状况,包含通用字段: 域名、IP、接口门路、查问参数、是否胜利、申请工夫、耗时、错误信息、接口名 ;以及业务自定义字段
做成通用组件的模式,最小化的侵入业务零碎
2. 设计思路
自定义 Spring 拦截器,获取通用字段,以及业务自定义字段放到 ThreadLocal,接口调用实现后异步发送到 Kafka,而后生产到 ClickHouse 进行统计
须要统计的服务只须要依赖本组件,加一个注解,并配置指定的 kafka 地址即可
3. 架构图
4. 具体实现
1. 定义拦截器
在接口调用前初始化并从 request 里获取 ip、域名、申请工夫、申请参数等
接口调用后设置接口耗时、错误信息等;须要删除该线程的 ThreadLocal 对象,因为 spring 的申请线程会在线程池里复用,如果不删掉,后续申请会用到该线程的 ThreadLocal 数据
package cn.xianbin.apistat.interceptor;
import cn.xianbin.apistat.service.ApiStatService;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Component;
import org.springframework.web.servlet.HandlerInterceptor;
import javax.servlet.http.HttpServletRequest;
import javax.servlet.http.HttpServletResponse;
@Component
@Slf4j
public class ApiStatInterceptor implements HandlerInterceptor {
@Autowired
private ApiStatService apiStatService;
@Override
public boolean preHandle(HttpServletRequest request, HttpServletResponse response, Object handler) throws Exception {apiStatService.before(request);
return true;
}
@Override
public void afterCompletion(HttpServletRequest request, HttpServletResponse response, Object handler, Exception ex) {apiStatService.after(ex);
ApiStatService.threadLocal.remove();}
}
2. 获取接口参数服务
package cn.xianbin.apistat.service;
import cn.xianbin.apistat.bean.ApiStatBean;
import cn.xianbin.apistat.utils.IpUtil;
import com.alibaba.fastjson.JSONObject;
import lombok.extern.slf4j.Slf4j;
import org.springframework.kafka.core.KafkaTemplate;
import org.springframework.stereotype.Service;
import java.time.LocalDateTime;
import java.time.format.DateTimeFormatter;
import javax.annotation.Resource;
import javax.servlet.http.HttpServletRequest;
@Slf4j
@Service
public class ApiStatService {private static DateTimeFormatter dateTimeFormatter = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss.SSS");
public static ThreadLocal<ApiStatBean> threadLocal = new ThreadLocal<>();
@Resource(name = "apiStatKafkaTemplate")
private KafkaTemplate<String, String> kafkaTemplate;
/**
* 业务代码调用
*/
public static void apiName(String apiName) {ApiStatBean apiStatBean = threadLocal.get();
if(apiStatBean == null){log.warn("api stat not init");
return;
}
apiStatBean.setApi_name(apiName);
}
public void before(HttpServletRequest request) {LocalDateTime now = LocalDateTime.now();
ApiStatBean apiStatBean = ApiStatBean.builder()
.ip(IpUtil.getIP(request))
.domain(domain(request))
.path(request.getRequestURI())
.query_param(request.getQueryString())
.startTime(System.currentTimeMillis())
.start_time(now.format(dateTimeFormatter))
.build();
threadLocal.set(apiStatBean);
}
public void after(Exception ex) {ApiStatBean apiStatBean = threadLocal.get();
apiStatBean.setCost_time(System.currentTimeMillis() - apiStatBean.getStartTime());
if (ex == null) {apiStatBean.setIs_success(1);
} else {apiStatBean.setError(ex.getMessage());
apiStatBean.setIs_success(0);
}
log();}
public void log() {String invokeLog = JSONObject.toJSONString(threadLocal.get());
log.debug("asyncSend={}", invokeLog);
kafkaTemplate.send("api_stat_test", invokeLog);
}
private String domain(HttpServletRequest request) {return String.format("%s://%s:%s", request.getScheme(), request.getServerName(), request.getServerPort());
}
}
3. 对外须要导入的注解
用 spring 的 @import 注解导入咱们的配置类,用 @ComponentScan 扫描咱们的类
package cn.xianbin.apistat;
import cn.xianbin.apistat.config.ApiStatConfig;
import org.springframework.context.annotation.Import;
import java.lang.annotation.Documented;
import java.lang.annotation.ElementType;
import java.lang.annotation.Retention;
import java.lang.annotation.RetentionPolicy;
import java.lang.annotation.Target;
@Target({ElementType.TYPE})
@Retention(RetentionPolicy.RUNTIME)
@Documented
@Import(ApiStatConfig.class)
public @interface EnableApiStat {}
package cn.xianbin.apistat.config;
import cn.xianbin.apistat.interceptor.ApiStatInterceptor;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.context.annotation.ComponentScan;
import org.springframework.context.annotation.Configuration;
import org.springframework.web.servlet.config.annotation.InterceptorRegistry;
import org.springframework.web.servlet.config.annotation.WebMvcConfigurer;
@ComponentScan("cn.dgg.bigdata.apistat")
@Configuration
public class ApiStatConfig implements WebMvcConfigurer {
@Autowired
private ApiStatInterceptor apiStatHandlerInterceptor;
@Override
public void addInterceptors(InterceptorRegistry registry) {registry.addInterceptor(apiStatHandlerInterceptor).addPathPatterns("/**");
}
}
5. 同步到 ClickHouse
1. 创立 kafka 引擎表
CREATE TABLE api_stat.kafka_api_stat (
`ip` String,
`api_name` String,
`domain` String,
`path` String,
`query_param` String,
`start_time` DateTime64 (3, 'Asia/Shanghai'),
`is_success` UInt8,
`cost_time` Int32,
`error` String,`api_name` String
) ENGINE = Kafka('localhost:9092', 'topic', 'group1', 'JSONEachRow');
2. 创立 ClickHouse 物理表
CREATE TABLE api_stat.api_stat (
`ip` String,
`api_name` String,
`domain` String,
`path` String,
`query_param` String,
`start_time` DateTime64 (3, 'Asia/Shanghai'),
`is_success` UInt8,
`cost_time` Int32,
`error` String,
`api_name` String
) ENGINE = MergeTree()
PARTITION BY toYYYYMM(start_time)
ORDER BY (domain, path, start_time);
3. 创立 kafka 到物理表的视图
CREATE MATERIALIZED VIEW api_stat.consumer_api_stat TO api_stat.api_stat
AS SELECT ip,api_name,domain,path,query_param,start_time,is_success,cost_time,error,api_name FROM api_stat.kafka_api_stat;
6. 内部零碎应用
1. 增加依赖:
<dependency>
<groupId>cn.dgg.bigdata</groupId>
<artifactId>apistat</artifactId>
<version>1.0-SNAPSHOT</version>
</dependency>
2. 配置 kafka 地址
apiStat:
kafka:
bootstrap-servers: localhost:9200
3. 退出注解:@EnableApiStat
7. 完结
源码地址: https://github.com/ostarsier/apistat