drools入门介绍 | Baeldung中文网

1. Overview

Drools is a Business Rule Management System (BRMS) solution. It provides a rule engine which processes facts and produces output as a result of rules and facts processing. Centralization of business logic makes it possible to introduce changes fast and cheap.

It also bridges the gap between the Business and Technical teams by providing a facility for writing the rules in a format which is easy to understand.

2. Maven Dependencies

To get started with Drools, we need to first add a couple of dependencies in our pom.xml:

<dependency>
    <groupId>org.kie</groupId>
    <artifactId>kie-ci</artifactId>
    <version>9.44.0.Final</version>
</dependency>
<dependency>
    <groupId>org.drools</groupId>
    <artifactId>drools-decisiontables</artifactId>
    <version>9.44.0.Final</version>
</dependency>

The latest version of both dependencies is available on Maven Central Repository as kie-ci and drools-decisiontables.

3. Drools Basics

We are going to look at basic concepts of Drools:

Facts – represents data that serves as input for rules
Working Memory – a storage with Facts, where they are used for pattern matching and can be modified, inserted and removed
Rule – represents a single rule which associates Facts with matching actions. It can be written in Drools Rule Language in the .drl files or as Decision Table in an excel spreadsheet
Knowledge Session – it holds all the resources required for firing rules; all Facts are inserted into session, and then matching rules are fired
Knowledge Base – represents the knowledge in the Drools ecosystem, it has the information about the resources where Rules are found, and also it creates the Knowledge Session
Module – A module holds multiple Knowledge Bases which can hold different sessions

4. Java Configuration

To fire rules on a given data, we need to instantiate the framework-provided classes with information about the location of rule files and the Facts:

4.1. KieServices

The KieServices class provides access to all the Kie build and runtime facilities. It provides several factories, services, and utility methods. So, let’s first get hold of a KieServices instance:

KieServices kieServices = KieServices.Factory.get();

Using the KieServices, we are going to create new instances of KieFileSystem, KieBuilder, and KieContainer.

4.2. KieFileSystem

First, we need to set the KieFileSystem; this is an in-memory file system provided by the framework. The following code provides the container to define the Drools resources like rules files and decision tables, programmatically:

private KieFileSystem getKieFileSystem() {
    KieFileSystem kieFileSystem = kieServices.newKieFileSystem();
    List<String> rules = Arrays.asList("com/baeldung/drools/rules/BackwardChaining.drl", "com/baeldung/drools/rules/SuggestApplicant.drl", "com/baeldung/drools/rules/Product_rules.drl.xls");
    for (String rule : rules) {
        kieFileSystem.write(ResourceFactory.newClassPathResource(rule));
    }
    return kieFileSystem;
}

Here we are reading the files from classpath which is typically /src/main/resources in case of a Maven project.

4.3. KieBuilder

Now, build the content of the KieFileSystem by passing it to KieBuilder and build all the defined rules using kb.buildAll(). This step compiles the rules and checks them for syntax errors:

KieBuilder kieBuilder = kieServices.newKieBuilder(kieFileSystem);
kieBuilder.buildAll();

4.4. KieRepository

The framework automatically adds the KieModule (resulting from the build) to KieRepository:

KieRepository kieRepository = kieServices.getRepository();

4.5. KieContainer

It is now possible to create a new KieContainer with this KieModule using its ReleaseId. In this case, Kie assigns a default ReleaseId:

ReleaseId krDefaultReleaseId = kieRepository.getDefaultReleaseId();
KieContainer kieContainer 
  = kieServices.newKieContainer(krDefaultReleaseId);

4.6. KieSession

We can now obtain KieSession from the KieContainer. Our application interacts with the KieSession, which stores and executes on the runtime data:

KieSession kieSession = kieContainer.newKieSession();

Below is the full configuration:

public KieSession getKieSession() {
    KieBuilder kb = kieServices.newKieBuilder(getKieFileSystem());
    kb.buildAll();

    KieRepository kieRepository = kieServices.getRepository();
    ReleaseId krDefaultReleaseId = kieRepository.getDefaultReleaseId();
    KieContainer kieContainer = kieServices.newKieContainer(krDefaultReleaseId);

    return kieContainer.newKieSession();
}

5. Implementing Rules

Now that we’re done with the setup, let’s have a look at a couple of options for creating rules.

We’ll explore the rule implementation by an example of categorizing an applicant for a specific role, based on his current salary and number of years of experience he has.

**5.1. Drools Rule File (.drl)**

Simply put, the Drools rule file contains all business rules.

A rule includes a When-Then construct, here the When section lists the condition to be checked, and Then section lists the action to be taken if the condition is met:

package com.baeldung.drools.rules;

import com.baeldung.drools.model.Applicant;

global com.baeldung.drools.model.SuggestedRole suggestedRole;

dialect  "mvel"

rule "Suggest Manager Role"
    when
        Applicant(experienceInYears > 10)
        Applicant(currentSalary > 1000000 && currentSalary <= 
         2500000)
    then
        suggestedRole.setRole("Manager");
end

This rule can be fired by inserting the Applicant and SuggestedRole facts in KieSession:

public SuggestedRole suggestARoleForApplicant(
    Applicant applicant,SuggestedRole suggestedRole){
    KieSession kieSession = kieContainer.newKieSession();
    kieSession.insert(applicant);
    kieSession.setGlobal("suggestedRole",suggestedRole);
    kieSession.fireAllRules();
    // ...
}

It tests two conditions on Applicant instance and then based on the fulfillment of both conditions it sets the Role field in the SuggestedRole object.

This can be verified by executing the test:

@Test
public void whenCriteriaMatching_ThenSuggestManagerRole(){
    Applicant applicant = new Applicant("David", 37, 1600000.0,11);
    SuggestedRole suggestedRole = new SuggestedRole();
        
    applicantService.suggestARoleForApplicant(applicant, suggestedRole);
 
    assertEquals("Manager", suggestedRole.getRole());
}

In this example, we’ve used few Drools provided keywords. Let’s understand their use:

package – this is the package name we specify in the kmodule.xml, the rule file is located inside this package
import – this is similar to Java import statement, here we need to specify the classes which we are inserting in the KnowledgeSession
global – this is used to define a global level variable for a session; this can be used to pass input parameter or to get an output parameter to summarize the information for a session
dialect – a dialect specifies the syntax employed in the expressions in the condition section or action section. By default the dialect is Java. Drools also support dialect mvel; it is an expression language for Java-based applications. It supports the field and method/getter access
rule – this defines a rule block with a rule name
when – this specifies a rule condition, in this example the conditions which are checked are Applicant having experienceInYears more than ten years and currentSalary in a certain range
then – this block executes the action when the conditions in the when block met. In this example, the Applicant role is set as Manager

5.2. Decision Tables

A decision table provides the capability of defining rules in a pre-formatted Excel spreadsheet. The advantage with Drools provided Decision Table is that they are easy to understand even for a non-technical person.

Also, it is useful when there are similar rules, but with different values, in this case, it is easier to add a new row on excel sheet in contrast to writing a new rule in .drl files. Let’s see what the structure of a decision table with an example of applying the label on a product based on the product type:

The Decision Table is grouped in different sections the top one is like a header section where we specify the RuleSet (i.e. package where rule files are located), Import (Java classes to be imported) and Notes (comments about the purpose of rules).

The central section where we define rules is called RuleTable which groups the rules which are applied to the same domain object.

In the next row, we have column types CONDITION and ACTION. Within these columns, we can access the properties of the domain object mentioned in one row and their values in the subsequent rows.

The mechanism to fire the rules is similar to what we have seen with .drl files.

We can verify the outcome of applying these rules by executing the test:

@Test
public void whenProductTypeElectronic_ThenLabelBarcode() {
    Product product = new Product("Microwave", "Electronic");
    product = productService.applyLabelToProduct(product);
    
    assertEquals("BarCode", product.getLabel());
}

6. Conclusion

In this quick article, we have explored making use of Drools as a business rule engine in our application. We’ve also seen the multiple ways by which we can write the rules in the Drools rule language as well as in easy to understand the language in spreadsheets.

As always, the complete code for this article is available over on GitHub.

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