In the realm of Android development, efficiently managing object storage can be pivotal. Reservoir, an easy-to-use library, enables you to serialize and cache your objects seamlessly through key-value pairs. Though it’s important to note that this project is no longer maintained, you can still utilize or fork it according to your project requirements. Let’s dive into how to integrate and use Reservoir effectively!

Getting Started with Reservoir

To incorporate Reservoir into your Android project, follow these steps:

• Add the JCenter repository: Ensure you have the JCenter repository in your Gradle build file.

repositories {
    jcenter()
}

• Add Reservoir as a dependency: Include the following line in your dependencies block.

dependencies {
    compile 'com.anupcowkur:reservoir:3.1.0'
}

Initial Setup

Before diving into storing and retrieving objects, you need to initialize Reservoir with your desired cache size. Here’s how:

try {
    Reservoir.init(this, 2048); // Cache size in bytes
} catch (IOException e) {
    // Handle failure
}

If you want to use a custom GSON instance for serialization, you can pass it in as follows:

try {
    Reservoir.init(this, 2048, myGsonInstance); 
} catch (IOException e) {
    // Handle failure
}

This setup is best placed in your application’s onCreate() method.

Storing Objects

Reservoir allows you to store objects either synchronously or asynchronously, similar to putting groceries in a shopping cart where you can briefly hold items before they go into your virtual kitchen (i.e., storage).

Asynchronous Storage

For asynchronous storage, use the following:

Reservoir.putAsync(myKey, myObject, new ReservoirPutCallback() {
    @Override
    public void onSuccess() {
        // Handle success
    }
    @Override
    public void onFailure(Exception e) {
        // Handle error
    }
});

Synchronous Storage

For synchronous storage, the syntax is as below:

try {
    Reservoir.put(myKey, myObject);
} catch (IOException e) {
    // Handle failure
}

Retrieving Objects

Retrieving items works much like checking your shopping list after you’ve put things in your cart to see what’s for dinner. Reservoir allows both synchronous and asynchronous retrieval:

Asynchronous Retrieval

Reservoir.getAsync(myKey, MyClass.class, new ReservoirGetCallback() {
    @Override
    public void onSuccess(MyClass myObject) {
        // Handle success
    }
    @Override
    public void onFailure(Exception e) {
        // Handle error
    }
});

Synchronous Retrieval

try {
    Reservoir.get(myKey, MyClass.class);
} catch (IOException e) {
    // Handle failure
}

Checking Existence and Deleting Objects

You can also check if an object exists and delete items, akin to confirming whether some groceries are expired or making room for new ones.

try {
    boolean objectExists = Reservoir.contains(myKey);
} catch (IOException e) {
    // Handle failure
}
// To delete
Reservoir.deleteAsync(myKey, new ReservoirDeleteCallback() {
    @Override
    public void onSuccess() {
        // Handle success
    }
    @Override
    public void onFailure(Exception e) {
        // Handle error
    }
});

Managing Cache

Reservoir also enables you to clear all cached objects easily, which is similar to wiping your kitchen slate clean to prepare for a new meal:

Reservoir.clearAsync(new ReservoirClearCallback() {
    @Override
    public void onSuccess() {
       // Cache cleared
    }
    @Override
    public void onFailure(Exception e) {
        // Handle error
    }
});

Using Reservoir with RxJava

If you prefer working with observables, Reservoir supports RxJava as well!

Reservoir.putUsingObservable(myKey, myObject).subscribe(
    aBoolean -> {
        // Handle completion
    },
    throwable -> {
        // Handle error
    }
);

FAQs

• What kind of objects can I add to Reservoir? Anything that GSON can serialize.
• What happens if my cache size is exceeded? Older objects will be removed based on the LRU strategy (Least Recently Used).
• Can I use this as a SharedPreferences replacement? NO! This is intended as a cache, not for storing user preferences.

Troubleshooting

If you run into issues during implementation, here are some troubleshooting steps:

• Ensure you have added the correct repository URL and dependencies.
• Check if your objects are serializable with GSON.
• If you encounter errors with cache size, verify the allocated size in your initialization.
• For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.

Now, embark on your journey with the Reservoir library, integrating efficient caching into your Android apps!