Droolsstreamintegration
This passage discusses how to integrate a provided drools package into datastream application.
成都创新互联不只是一家网站建设的网络公司;我们对营销、技术、服务都有自己独特见解,公司采取“创意+综合+营销”一体化的方式为您提供更专业的服务!我们经历的每一步也许不一定是最完美的,但每一步都有值得深思的意义。我们珍视每一份信任,关注我们的成都做网站、成都网站制作质量和服务品质,在得到用户满意的同时,也能得到同行业的专业认可,能够为行业创新发展助力。未来将继续专注于技术创新,服务升级,满足企业一站式成都营销网站建设需求,让再小的成都品牌网站建设也能产生价值!
Packaging:
If a maven project is provided by customer. In this case, you need to ensure that the pom file contains the following:
org.drools
drools-bom
pom
xxx
import
org.kie
kie-api
org.drools
drools-compiler
runtime
other dependencies
org.kie
kie-maven-plugin
xxx
true
In addition, a file kmodule.xml
must be added to src\main\resources\META-INF
folder. A minimum kmodule.xml likes like the following.
The default stateless ksession is mandatory.
Rule files can be put in main/resources as normal
The command to create jar file is still mvn package
as normal. However, the jar created is a bit different. Here is a screenshot
Note that there is knowledge base cache file and kmodule file in META-INF. Two rule files in main/resources are shifted out into the root folder.
What if the customer does not provide a maven project? I guess the best strategy is to create a maven project by ourselves. If source code is provided, we just import source code into the maven project, otherwise, use customer provided jar as a maven dependency?
Note that kie module is introduced only after drools 6. So I don't think this will work for drools 5 and below. Also, for drools integration in streamtau, we are using the latest version 7.2.1. So whether earlier version like 6.x is fully compatible still remains a question.
Invocation:
Load rules:
First create a KieServices singleton instance.private final KieServices kieServices = KieServices.Factory.get();
Load the drools package into system:
protected DroolsDataHolder doLoadDroolsModule(DroolsLoadParam droolsLoadParam) {
DroolsParameters origParams = droolsLoadParam.getDroolsParam();
String moduleName = origParams.getModuleName();
try {
InputStream is = droolsDataLoader.getDroolsModuleAsStream(droolsLoadParam);
KieContainer curContainer = DroolsUtils.buildContainer(kieServices, is);
return new DroolsDataHolder(curContainer);
}
catch (Exception ex) {
logger.error("Error loading drools " + moduleName, ex);
}
return null;
}
DroolsDataLoader is an interface that is designed to loads drools package as stream (via either file system or restful interface)
DroolsUtils is the utility class that builds a KieContainer from stream.
public static KieContainer buildContainer(KieServices kieServices, InputStream stream) throws Exception {
Resource wrapped = kieServices.getResources().newInputStreamResource(stream);
KieModule curModule = kieServices.getRepository().addKieModule(wrapped);
ReleaseId releaseId = curModule.getReleaseId();
logger.info("Release id generated for module: {}", releaseId);
KieContainer kContainer = kieServices.newKieContainer(releaseId, DroolsUtils.class.getClassLoader());
return kContainer;
}
The returned DroolsDataHolder is merely a wrapper of KieContainer
public class DroolsDataHolder {
private final KieContainer kieContainer;
public DroolsDataHolder(KieContainer kieContainer) {
this.kieContainer = kieContainer;
}
public KieContainer getKieContainer() {
return kieContainer;
}
public void destroy() {
kieContainer.dispose();
}
}
The loaded DroolsDataHolder will be cached unless rule is changed, which triggers a reload operation
public DroolsDataHolder getOrLoadDroolsModule(DroolsLoadParam droolsLoadParam) {
DroolsParameters origParams = droolsLoadParam.getDroolsParam();
String moduleName = origParams.getModuleName();
dataLock.readLock().lock();
try {
DroolsDataHolder curHolder = containers.get(moduleName);
if (curHolder != null) {
return curHolder;
}
dataLock.readLock().unlock();
dataLock.writeLock().lock();
try {
return doUpdateDroolsModule(droolsLoadParam);
}
finally {
dataLock.readLock().lock();
dataLock.writeLock().unlock();
}
}
finally {
dataLock.readLock().unlock();
}
}
Invoke the drools module:
In stream environment, only statelessdrools knowledge session is supported for now. The main reason is that stream is executed in a distributed environment. The session will be created on multiple JVMS, so it is virtually hard to share all the facts globally. Evaluating the rule is quite simple, it is composed of 3 steps:
- convert stream data to rule input pojo
public Class> getRulePojoClass(DroolsLoadParam droolsLoadParam, String inputPojoClassName) { DroolsParameters origParams = droolsLoadParam.getDroolsParam(); String moduleName = origParams.getModuleName(); DroolsDataHolder curDataHolder = this.getOrLoadDroolsModule(droolsLoadParam); if (curDataHolder == null) { throw new IllegalArgumentException("No drools module found by name: " + moduleName); } try { ClassLoader cl = curDataHolder.getKieContainer().getClassLoader(); Class> inputPojoClass = cl.loadClass(inputPojoClassName); return inputPojoClass; } catch (Exception e) { throw RtException.from(e); } }
The good thing about drools module is that it provides a self contained class loading environment. So third party jar dependencies are unlikely to cause conflict with the outside runtime environment. However, when we build an input event to drools engine, we need to use the KieContainer's class loader to find the input event class referenced in rule.
build a stateless kie session and invoke the rule
public List
- convert rule evaluation result back to stream data
Under the hood:
Drools class relations
Drools package loading
Things to note:
Drools package can be large and the current approach caches all loaded drools package in memory. The loading time and memory consumption might be a bottleneck of scalability. A better approach will be building a standalone rule server, where it manages rules and exposes a rest api to stream application.
Find out input metadata for rule: it is possible to find out java class of each rule variable. This is useful as a hint to map stream data to rule input.
public static Map> getRuleInputMeta(KieBase kieBase,
String rulePkgName, String ruleName) {
RuleImpl r = (RuleImpl)kieBase.getRule(rulePkgName, ruleName);
List elements = r.getLhs().getChildren();
Pattern curPattern = null;
String curId = null;
ObjectType curObjType = null;
Map> result = new HashMap>();
for (RuleConditionElement nextElem : elements) {
if (nextElem instanceof Pattern) {
curPattern = (Pattern)nextElem;
curObjType = curPattern.getObjectType();
curId = curPattern.getDeclaration().getIdentifier();
result.put(curId, curObjType.getValueType().getClassType());
}
}
return result;
}
Maven shade plugin and drools jar:
To use the drools java api, multiple jars need to be included as maven dependency.
However, the special thing about drools jars is that each one contains a file kie.conf
(Eg. drools-core.jar, kie-internal.jar). The default behavior of maven shade plugin is that kie.conf will overwrite each other and causes a runtime error when deploying the shaded jar to flink. Mitigation to this problem is to configure maven shadow plugin parameters properly so that the content of each kie.conf will be appended to the combined file instead of overwritten.
org.apache.maven.plugins
maven-shade-plugin
package
shade
META-INF/kie.conf
分享名称:Droolsstreamintegration
URL分享:http://scyanting.com/article/gisggo.html