前言
我的优惠券作为营销玩法的一种运营工具,在营销活跃场中起到很至关重要的作用。如何更加高效的赋能业务,助理业务发展,灵活扩展业务,是我们一直追求和思考的方向
一、背景
1.1 现状
营销中台作为券的“供应链端”,控制券的所有类型。
我的优惠券作为工具,提供用户已有优惠券的展示列表,不同类型的券利益点不同,运营会提供各自展示规则。
谋略作为用户触达方,为了提高券的核销率,会对用户做过期提醒push,同时触达文案要求跟券的营销文案一致。
1.2 挑战点
1、营销中台每次新增券类型,都需要运营指定营销文案后,由研发硬编码实现。能不能支持业务运营人员根据需求灵活扩展,动态配置营销文案,并且能够及时生效呢?
2、消息中心的push提醒文案需要跟营销展示文案一致,那就由业务侧研发硬编码实现一套,消息中心侧实现一套,并且还得保证两处的规则逻辑一致才可以。
能不能将这种相同的规则抽取出来,以订阅的方式下发到订阅者上去,既保证规则的唯一性,也能够做到规则共享?
二、解决方案
鉴于上述场景的痛点,我们接入ZCube平台来解决
2.1 接入ZCube
官网地址:https://zcube.jr.jd.com文章介绍:《ZCube:会员权益体系规则引擎原理介绍 【一】》
首先,在ZCube平台接入我的优惠券应用
搭建优惠券运营玩法规则
展示逻辑映射规则
发布知识包
2.2 应用系统接入SDK
maven坐标依赖
<!-- 规则引擎客户端SDK -->
<dependency>
<groupId>com.jd.jdt.rule.core</groupId>
<artifactId>rule-core-client-spring</artifactId>
<version>1.0.1-SNAPSHOT</version>
</dependency>
properties参数配置
rule.env=prod
rule.appName=jrm_member_center
rule.secret=xxx
rule.packages=xxx
spring xml配置
<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://www.springframework.org/schema/beans
http://www.springframework.org/schema/beans/spring-beans-3.1.xsd"
default-lazy-init="false">
<bean id="ruleExecuteService" class="com.jd.jdt.rule.core.client.service.impl.RuleExecuteServiceImpl">
<property name="knowledgeCacheService" ref="knowledgeCachePushService"/>
</bean>
<bean id="knowledgeCachePushService" class="com.jd.jdt.rule.core.client.service.impl.KnowledgeCachePushService">
<property name="cloudFileInnerService" ref="cloudFileInnerService"/>
</bean>
<bean id="cloudFileInnerService" class="com.jd.jdt.rule.core.client.service.impl.CloudFileInnerService">
<constructor-arg index="0" value="#{frozenParamBean['rule.env']}"/>
</bean>
<bean id="ruleClient" class="com.jd.jdt.rule.core.client.etcd.RuleClient">
<constructor-arg index="0" value="#{frozenParamBean['rule.appName']}"/>
<constructor-arg index="1" value="#{frozenParamBean['rule.env']}"/>
<constructor-arg index="2" value="#{frozenParamBean['rule.packages']}"/>
<constructor-arg index="3" ref="knowledgeCachePushService"/>
</bean>
</beans>
api调用
RuleExecutionResult ruleExecutionResult = ruleExecuteService.fireRules(knowPackageName, param);
2.3 AB方式灰度上线
为了保证现有功能的稳定,我们采用AB方式灰度上线,配置在白名单内的用户走规则引擎执行的逻辑,否则走原硬编码逻辑。
三、结果展示
C端页面展示
SGM执行方法监控,tp99基本在1ms,cpu及内存较稳定,对系统原业务逻辑基本无影响
四、改造后的优势
1、营销中台新增品后,只需要在策略中心可视化配置,0代码
2、策略规则支持热部署,发布审批即生效
3、业务规则以知识库形式存储,所见即所得,便于业务侧优惠券资源治理
五、压测
5.1 压测对象
-- | 描述 | 备注 | |
---|---|---|---|
1 | 压测案例项目 | SDK客户端示例项目 | fin-rule-client-example |
2 | 压测机器 | 用户持有优惠券接口 | 接口:com.jd.jdt.rule.engine.core.example.facade.IRuleExeFacade 别名:fin-rule-client-example |
3 | 执行知识包01 exePackage01 执行知识包03 exePackage03 执行aviator01 exeRule03 | SDK客户端示例项目 | fin-rule-client-example |
4 | 压测机器 | 指定预发机器 | 11.248.242.133 100.99.122.24 |
5.2 压测平台
压测脚本:
压测方法 | 压测脚本 | |
---|---|---|
1 | exePackage01 | exePackage01.groovy |
2 | exePackage03 | exePackage03.groovy |
3 | exeRule03 | exeRule03.groovy |
exePackage01
package jsf
import com.jd.fastjson.JSON
import com.jd.fastjson.JSONObject
import com.jd.forcebot.engine.TestUtils
import com.jd.forcebot.engine.groovy.Lifecycle
import com.jd.forcebot.engine.groovy.RatePolicy
import com.jd.forcebot.engine.groovy.TestCase
import com.jd.forcebot.engine.groovy.TestSuite
import com.jd.forcebot.toolkit.parameterized.latest.AsciiFileAccessArbitrarily
import com.jdd.test.performance.common.GenericServiceInvoker
import org.slf4j.Logger
@TestSuite(value = "forcebot", lifecycle = Lifecycle.THREAD, ratePolicy = RatePolicy.STANDARD)
class TestQueryRightsCardDetail {
public final Logger logger = TestUtils.LOGGER;
public static GenericServiceInvoker genericServiceInvoker;
public static AsciiFileAccessArbitrarily realPinFile = new AsciiFileAccessArbitrarily("test_1w_pin.txt");
static {
genericServiceInvoker = new GenericServiceInvoker();
genericServiceInvoker.initService("com.jd.jdt.rule.engine.core.example.facade.IRuleExeFacade","fin-rule-client-example");
}
String getPin() {
return realPinFile.readLine().trim();
}
@TestCase( record = false)
void queryRightsCardDetail() {
// 真实pin
String pin = getPin();
logger.info("pin: {}", pin);
String tranName = "exePackage01";
JSONObject param = new JSONObject();
param.put("pin", pin);
param.put("clientIP", "127.0.0.1");
String strParam = JSON.toJSONString(param);
try {
TestUtils.transactionBegin(tranName);
Object result = genericServiceInvoker.invoke("exePackage01",new String[]{"java.lang.Integer","java.lang.Integer"},new Object[]{45,45});
logger.info("{} result: {}", tranName, result);
boolean ret = resultCheck(result, tranName);
} catch (Exception ex) {
TestUtils.transactionFailure(tranName);
logger.error(ex.getMessage(), ex);
}
}
boolean resultCheck(Object result, String tranName) {
if (result == null) {
logger.error("{} exec error, result is null.", tranName);
return false;
}
if (!(result instanceof Map)) {
logger.error("{} exec error, result is {}.", tranName, result);
return false;
}
Map<String, Object> resultMap = result;
logger.info(tranName + " result: {}.", resultMap);
if (resultMap == null || resultMap.size() == 0) {
logger.warn("{} exec error, result map size is zero.", tranName);
TestUtils.transactionFailure(tranName);
return false;
}
TestUtils.transactionSuccess(tranName);
// logger.info("{} exec succeed, result: {}.", tranName, resultMap);
return true;
}
}
exePackage03
package jsf
import com.jd.fastjson.JSON
import com.jd.fastjson.JSONObject
import com.jd.forcebot.engine.TestUtils
import com.jd.forcebot.engine.groovy.Lifecycle
import com.jd.forcebot.engine.groovy.RatePolicy
import com.jd.forcebot.engine.groovy.TestCase
import com.jd.forcebot.engine.groovy.TestSuite
import com.jd.forcebot.toolkit.parameterized.latest.AsciiFileAccessArbitrarily
import com.jdd.test.performance.common.GenericServiceInvoker
import org.slf4j.Logger
@TestSuite(value = "forcebot", lifecycle = Lifecycle.THREAD, ratePolicy = RatePolicy.STANDARD)
class TestQueryRightsCardDetail {
public final Logger logger = TestUtils.LOGGER;
public static GenericServiceInvoker genericServiceInvoker;
public static AsciiFileAccessArbitrarily realPinFile = new AsciiFileAccessArbitrarily("test_1w_pin.txt");
static {
genericServiceInvoker = new GenericServiceInvoker();
genericServiceInvoker.initService("com.jd.jdt.rule.engine.core.example.facade.IRuleExeFacade","fin-rule-client-example");
}
String getPin() {
return realPinFile.readLine().trim();
}
@TestCase( record = false)
void queryRightsCardDetail() {
// 真实pin
String pin = getPin();
logger.info("pin: {}", pin);
String tranName = "exePackage03";
JSONObject param = new JSONObject();
param.put("pin", pin);
param.put("clientIP", "127.0.0.1");
param.put("orderType", "ssahhh");
param.put("bizCode", "qwerrtta");
String strParam = JSON.toJSONString(param);
try {
TestUtils.transactionBegin(tranName);
Object result = genericServiceInvoker.invoke("exePackage03","com.jd.jdt.rule.engine.core.example.domain.MqVar",strParam);
logger.info("{} result: {}", tranName, result);
boolean ret = resultCheck(result, tranName);
} catch (Exception ex) {
TestUtils.transactionFailure(tranName);
logger.error(ex.getMessage(), ex);
}
}
boolean resultCheck(Object result, String tranName) {
if (result == null) {
logger.error("{} exec error, result is null.", tranName);
return false;
}
if (!(result instanceof Map)) {
logger.error("{} exec error, result is {}.", tranName, result);
return false;
}
Map<String, Object> resultMap = result;
logger.info(tranName + " result: {}.", resultMap);
if (resultMap == null || resultMap.size() == 0) {
logger.warn("{} exec error, result map size is zero.", tranName);
TestUtils.transactionFailure(tranName);
return false;
}
TestUtils.transactionSuccess(tranName);
// logger.info("{} exec succeed, result: {}.", tranName, resultMap);
return true;
}
}
execRule03
package jsf
import com.jd.fastjson.JSON
import com.jd.fastjson.JSONObject
import com.jd.forcebot.engine.TestUtils
import com.jd.forcebot.engine.groovy.Lifecycle
import com.jd.forcebot.engine.groovy.RatePolicy
import com.jd.forcebot.engine.groovy.TestCase
import com.jd.forcebot.engine.groovy.TestSuite
import com.jd.forcebot.toolkit.parameterized.latest.AsciiFileAccessArbitrarily
import com.jdd.test.performance.common.GenericServiceInvoker
import org.slf4j.Logger
@TestSuite(value = "forcebot", lifecycle = Lifecycle.THREAD, ratePolicy = RatePolicy.STANDARD)
class TestQueryRightsCardDetail {
public final Logger logger = TestUtils.LOGGER;
public static GenericServiceInvoker genericServiceInvoker;
public static AsciiFileAccessArbitrarily realPinFile = new AsciiFileAccessArbitrarily("test_1w_pin.txt");
static {
genericServiceInvoker = new GenericServiceInvoker();
genericServiceInvoker.initService("com.jd.jdt.rule.engine.core.example.facade.IRuleExeFacade","fin-rule-client-example");
}
String getPin() {
return realPinFile.readLine().trim();
}
@TestCase( record = false)
void queryRightsCardDetail() {
// 真实pin
String pin = getPin();
logger.info("pin: {}", pin);
String tranName = "execRule03";
JSONObject params = new JSONObject();
params.put("orderType","1");
params.put("orderType","1");
params.put("bizCode",1);
params.put("subBizCode",0);
params.put("merchantCode","200022");
params.put("subMerchantCode","110597078001");
JSONObject param = new JSONObject();
param.put("ruleId", "bt");
param.put("params", params);
String strParam = JSON.toJSONString(param);
try {
TestUtils.transactionBegin(tranName);
Object result = genericServiceInvoker.invoke("execRule03","com.jd.jdt.rule.engine.core.example.domain.RuleRequest",strParam);
logger.info("{} result: {}", tranName, result);
boolean ret = resultCheck(result, tranName);
} catch (Exception ex) {
TestUtils.transactionFailure(tranName);
logger.error(ex.getMessage(), ex);
}
}
boolean resultCheck(Object result, String tranName) {
if (result == null) {
logger.error("{} exec error, result is null.", tranName);
return false;
}
if (!(result instanceof Map)) {
logger.error("{} exec error, result is {}.", tranName, result);
return false;
}
Map<String, Object> resultMap = result;
logger.info(tranName + " result: {}.", resultMap);
if (resultMap == null || resultMap.size() == 0) {
logger.warn("{} exec error, result map size is zero.", tranName);
TestUtils.transactionFailure(tranName);
return false;
}
TestUtils.transactionSuccess(tranName);
// logger.info("{} exec succeed, result: {}.", tranName, resultMap);
return true;
}
}
模拟调用:easyone接口调用
5. 3 压测指标监控
SGM监控:
sgm方法监控
5. 4 结论
demo
tps峰值 | tp99 | tp999 | 成功率 | 内存使用率 | cpu使用率 | |
---|---|---|---|---|---|---|
1 | 10000 | 1 | 1 | 100% | 12.6% | 31.6% |
2 | 19500 | 1 | 1 | 100% | 12.6% | 53.7% |
白条规则
tps峰值 | tp99 | tp999 | 成功率 | 内存使用率 | cpu使用率 | |
---|---|---|---|---|---|---|
1 | 2500 | 1 | 1 | 100% | 12.5% | 9.88% |
2 | 3000 | 1 | 1 | 100% | 12.5% | 11.1% |
3 | 3500 | 1 | 1 | 100% | 12.6% | 13.0% |
4 | 4000 | 1 | 1 | 100% | 12.5% | 13.9% |
5 | 5000 | 1 | 1 | 100% | 12.5% | 17.9% |
6 | 6300 | 1 | 1 | 100% | 12.5% | 21.6% |
7 | 8400 | 1 | 1 | 100% | 12.5% | 26.9% |
8 | 10500 | 1 | 1 | 100% | 12.5% | 33.7% |
9 | 14500 | 1 | 1 | 100% | 12.5% | 46.1% |
10 | 19200 | 1 | 1 | 100% | 12.5% | 59.2% |
白条规则 aviator执行
tps峰值 | tp99 | tp999 | 成功率 | 内存使用率 | cpu使用率 | |
---|---|---|---|---|---|---|
1 | 6100 | 1 | 1 | 100% | 12.4% | 18.4% |
2 | 10500 | 1 | 1 | 100% | 12.4% | 29.6% |
3 | 20000 | 1 | 1 | 100% | 12.5% | 51.9% |
压测tps指标 | 执行方式 | SGM监控 | JDOS实例监控 | |
---|---|---|---|---|
1 | 6000 | aviator执行 | ||
2 | 6000 | package执行 | ||
3 | 10000 | aviator执行 | ||
4 | 10000 | package执行 | ||
5 | 20000 | aviator执行 | ||
6 | 20000 | package执行 |
作者:京东科技 王芳
来源:京东云开发者社区 转载请注明来源