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How to Best Share Data Between Android Activities?

Susan Sarandon
Release: 2024-12-30 17:11:10
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How to Best Share Data Between Android Activities?

Sharing Data Between Activities: Best Practices and Techniques

Objective: To explore various methods for sharing data seamlessly between activities in Android applications.

Challenge: You have a primary activity with multiple variables that you need to make accessible to other activities without creating multiple copies.

Recommended Approach:

To avoid performance issues and redundancy, it is advisable to employ strategies that directly access the variables rather than using getter and setter methods.

Sharing Data Without Disk Persistence:

  1. Send Data Inside Intents:

    • Pass primitive data, strings, or Parcelable objects as part of the intent's extras.
    • This method is suitable for small amounts of simple data.
  2. Share Data in Memory:

    • Use singletons, application singletons, or static fields to store data in memory.
    • Avoid storing large or potentially long-lived objects to mitigate performance issues.
  3. HashMap of WeakReferences:

    • Store objects in a HashMap with weak references to allow the Garbage Collector to remove unreferenced objects.
    • Retrieve objects using a unique identifier.

Persisting Objects to Disk:

  1. Shared Preferences:

    • Store key-value pairs of primitive data types for fast and easy retrieval.
    • Consider performance implications when storing large amounts of data.
  2. SQLite Database:

    • Use a SQLite database for complex or large objects that require structured storage.
    • It is more robust but also more time-consuming to implement.
  3. File Storage:

    • Avoid storing objects directly to files unless absolutely necessary due to potential performance and security concerns.

Conclusion:

The best method for sharing data between activities depends on the specific requirements and trade-offs. Intents are suitable for small amounts of data, while memory-based methods provide efficient access but may introduce performance issues. Disk persistence is recommended for large or long-lived objects that require durability.

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