avatarGhailene ben Marzouk

Summary

The provided website content offers a comprehensive guide on how to work with Decision Model and Notation (DMN) within the Camunda platform, detailing its benefits, use cases, and various hit policies for decision tables.

Abstract

The article introduces DMN as a standard for modeling and representing decisions and business rules, emphasizing its graphical notation for clear communication between business analysts and domain experts. It explains the advantages of using DMN in Camunda, such as separation of concerns, decision transparency, agility, collaboration, and reusability. The author provides examples of DMN files, demonstrates the deployment process, and shows how to execute a DMN process using a REST API. The article also delves into the concept of hit policies in Camunda's DMN engine, explaining the different types like Unique, First, Any, Collect, and Rule Order, and illustrates each with examples. Additionally, the author discusses aggregation options with the Collect hit policy, such as SUM, MIN, MAX, and COUNT, and concludes by directing readers to further resources and related Camunda topics.

Opinions

  • The author suggests that DMN is user-friendly and does not require deep technical knowledge, making it accessible for business stakeholders.
  • The use of DMN in Camunda is portrayed as beneficial for its ability to separate business rules from process flow, thereby enhancing adaptability and maintainability.
  • The article conveys that DMN decision tables and diagrams contribute to transparency in decision-making processes, which is crucial for validation and auditing purposes.
  • The author implies that the ease of collaboration facilitated by DMN's standard notation is a significant advantage in aligning technical and business teams.
  • The examples provided, such as the temperature and country decision table, demonstrate the practical application of DMN in real-world scenarios.
  • The explanation of hit policies indicates that selecting the appropriate policy is critical for the desired decision table evaluation behavior.
  • The author's inclusion of various hit policy examples and aggregation options suggests a preference for tailored decision-making strategies that best fit specific use cases.
  • By linking to the Camunda documentation on hit policies, the author endorses this resource as a credible and comprehensive guide for users seeking in-depth knowledge.

How to work with DMN

Hello,

Today we gonna learn about the DMN,

DMN (Decision Model and Notation): DMN stands for Decision Model and Notation. It is a standard for modeling and representing decisions and business rules in a structured way. DMN provides a graphical notation that allows business analysts and domain experts to define and communicate decision logic in a clear and understandable manner, without requiring deep technical knowledge. It was developed by the Object Management Group (OMG) and is widely adopted as a standard for decision modeling.

In DMN, decisions are represented as decision tables or decision trees, making it easy to visualize the logic behind various business rules and decision-making processes. DMN can be used to model complex decision-making scenarios and is commonly used in business process management (BPM) and workflow automation applications.

-Why use DMN in Camunda: The use of DMN in Camunda offers several benefits:

  1. Separation of concerns: DMN allows the separation of business rules and decision logic from the process flow. This separation makes it easier to modify decision logic without changing the process, and vice versa.
  2. Decision transparency: DMN decision tables and diagrams provide clear visibility into the decision-making process, making it easier for business stakeholders to understand, validate, and audit the rules.
  3. Agility and adaptability: With DMN, you can update decision logic without the need for reprogramming the entire workflow, enabling quicker adjustments to changing business requirements.
  4. Ease of collaboration: DMN provides a standard notation that business analysts and domain experts can use to collaborate and communicate with technical teams effectively.
  5. Reusability: DMN allows you to model and reuse decision logic across multiple processes, ensuring consistency and reducing duplication of efforts.

Example of DMN file:

Let s create and example with DMN diagram, here we have a temprature variable “integer” as input,country variable “string” as input also and weather variable “string” as output

our dmn file is successfuly deployed :

lets execute the dmn process using api rest:

The result is correct “CLOUDY” based on the inserted data.

HIT POLICY:

a “hit policy” refers specifically to the way decision tables are evaluated in the Decision Model and Notation (DMN) standard. Camunda supports DMN hit policies for making decisions based on predefined rules.

Camunda supports the following hit policies for decision tables:

  1. Unique (U): Ensures that only one rule matches the input data; otherwise, an error is raised.
  2. First (F): Executes the action of the first rule that matches the input conditions and stops evaluating other rules.
  3. Priority: Considers the priority of the rules and executes the action of the highest priority rule that matches the input conditions.
  4. Any (A): Executes the action of any single rule that matches the input conditions. The specific rule executed is not deterministic.
  5. Collect (C ): Combines the results of all matching rules into a collection, such as a list or set.
  6. Rule Order (R): Executes the actions of all matching rules in the order they appear in the decision table.

The choice of hit policy in Camunda’s DMN engine depends on the desired behavior when evaluating the decision table. Different hit policies may be appropriate for different use cases and decision-making requirements.

Unique hit policy:

The hit policy exist here:

the example below show that we use unique hit policy, the rule are not duplicate, only one rule matches the input data.

First Hit Policy:

Executes the action of the first rule that matches the input conditions and stops evaluating other rules.

in this examoe we gonna get the Cars value because it was the first when we put a value = 20 for example

Any hit policy:

=> too many rules can have the same output.(thats why the output value can be duplicated)

now as we can see the output variable have a duplicated value (COLD)

The result are correct based on the input even when the output is duplicated:

Rule Order hit policy:

Multiple rule can be satisfied, the results will be displayed by order of the rules in the decision table.

Collect hit policy:

Multiple rule can be satisfied, the result list will be displayed as a list but not ordred, the order is arbitrary . (list of outputs)

using Collect we can have an aggregation option:

SUM to show the sum of the output result:

MIN to get the min value as result:

Max to get the max value as result:

Count to get the number of output values:

For more details, of aggregator operation and hit policy : https://docs.camunda.org/manual/7.19/reference/dmn/decision-table/hit-policy/

Thank you for reading my article, please contact me for any further information or question.

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