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Data Transfer Hash pattern
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- #1704 by @x418-22n — closed without merging
- Dominant language
- Java
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Description
Description:
The Data Transfer Hash design pattern is used to transfer a large amount of data between different parts of a system or across systems. This pattern uses a hash map to store data as key-value pairs, which facilitates easy data retrieval and manipulation. The primary elements of this pattern include:
- Data Container: A hash map or dictionary to store the data.
- Serialization/Deserialization: Methods to convert data to and from the hash map format.
- Encapsulation: Ensuring that the data structure hides its implementation details and exposes only necessary interfaces for interaction.
- Efficiency: Optimization for quick data access and manipulation.
References:
- Data Transfer Hash Design Pattern - Link to Book
- Project Contribution Guidelines - Github Wiki
Acceptance Criteria:
- Implement a hash map-based data container with appropriate methods for adding, retrieving, and removing data.
- Include serialization and deserialization methods for converting the data container to and from a transferable format.
- Ensure the implementation adheres to the project's coding standards and passes all existing unit tests.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the project contribution guidelines and the referenced Data Transfer Hash pattern description, then inspect related existing patterns and their unit tests. Define the container API and transferable format before implementation; done means add, retrieve, and remove operations plus serialization and deserialization that meet the stated acceptance criteria and pass the test suite.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- java
- Domain
- backend
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100