需求

通过前端UI界面可以灵活配置规则

项目中使用到drools规则引擎来对大数据平台的实时数据流进行分析.
实现技术栈:

规则引擎相关代码示例如下:

    public KieSession newKieSession(RuleModel rule) {
        StringBuffer rulebuffer = new StringBuffer();
        rulebuffer.append(rule.getDrl());
        if (!checkRule(rulebuffer.toString())) {
            return null;
        KieHelper helper = new KieHelper();
        helper.addContent(rulebuffer.toString(), type);
        KnowledgeBaseImpl kieBase = (KnowledgeBaseImpl) helper.build();
        StatelessKieSession kieSession = kieBase.newStatelessKieSession();
        return  ((StatelessKnowledgeSessionImpl) kieSession).newWorkingMemory();
   private boolean checkRule(String rule) {
        try {
            KnowledgeBuilder kb = KnowledgeBuilderFactory.newKnowledgeBuilder();
            kb.add(ResourceFactory.newByteArrayResource(rule.getBytes("utf-8")), ResourceType.DRL);
            if (kb.hasErrors()) {
                log.warn(kb.getErrors().toString());
                return false;
            return true;
        } catch (UnsupportedEncodingException e) {
            e.printStackTrace();
            return false;