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Eclipse Store persists Java object graphs through an embedded storage manager: choose a root object, attach it to the manager, and explicitly store the root or the objects you change. Sven Ruppert’s October 4, 2023 DZone walkthrough demonstrates the basic Maven setup and those save operations. Its examples use the API as shown in that tutorial; the version placeholder below is not a current-version recommendation.
What is Eclipse Store?
Eclipse Store is a Java persistence mechanism built around storing object trees: an object graph is persisted through a root object and the objects reachable from it. In his October 4, 2023 tutorial, Sven Ruppert describes the approach as a way to avoid assembling as many JDBC connections, SQL mapping layers, and caches. That description explains the tutorial’s focus; it is not a benchmark or a claim that every application can dispense with those tools.
Ruppert also characterizes embedded storage as an in-memory solution that accesses the local hard drive directly. He calls the implementation production-suitable, but that is his assessment in a 2023 tutorial, not independent evidence about performance, durability guarantees, concurrency behavior, or suitability for a particular deployment.
How do you add Eclipse Store to a Java project?
The tutorial adds the org.eclipse.store:storage-embedded artifact with Maven. Replace {maven-version} with the version selected for your project; the tutorial’s historical reference to MicroStream Version 8 is not a recommendation for a current release.
<dependency>
<groupId>org.eclipse.store</groupId>
<artifactId>storage-embedded</artifactId>
<version>{maven-version}</version>
</dependency>What is an EmbeddedStorageManager?
The EmbeddedStorageManager is the main interface used in the walkthrough to configure and operate embedded persistence. Start it with EmbeddedStorage.start():
final EmbeddedStorageManager storageManager = EmbeddedStorage.start();The returned manager is the entry point for setting the graph root and explicitly storing roots or objects. The call shown here is the tutorial’s basic startup example; it does not specify a storage location or cover deployment configuration.
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How do you set and persist a storage root?
A storage root anchors the object graph managed by the store. Ruppert’s example uses a list as the root, registers it with the manager, and then persists it:
EmbeddedStorageManager storageManager = EmbeddedStorage.start();
storageManager.setRoot(new ArrayList<>());
storageManager.storeRoot();setRoot(...) establishes which object is the root; storeRoot() persists that root and the graph reachable from it. The tutorial warns that replacing the root moves previously saved elements outside the graph being managed. Also, root() is not typed, so code retrieving it must know the expected container type and cast or otherwise handle it accordingly.
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How do you save, delete, or update objects?
The tutorial demonstrates three explicit persistence patterns. With a list already registered as the root, the choice depends on the change you made:
| Change | Operation shown | Effect in the example |
|---|---|---|
| Add objects through the root list | storageManager.storeRoot() |
Persists the root and its reachable graph. |
| Store known objects directly | storageManager.storeAll(d3, d4) |
Stores the specified objects. |
| Remove an object from the root list | storageManager.store(root) |
Stores the changed root after removal. |
| Modify a stored object | storageManager.store(d3) |
Stores the modified object. |
For the update case, the tutorial changes a mutable field before storing that object:
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d3.setValue("Nr 3. modified");
storageManager.store(d3);Its sample DataElement has a mutable String value and a LocalDateTime timestamp; Ruppert says this class can be processed without additional action in the example. The walkthrough demonstrates the save calls, but does not establish broader guarantees about transaction handling or concurrent changes.
What the walkthrough does—and does not—establish
The tutorial is a first-steps guide: it presents the object-graph model, shows the embedded Maven dependency, starts a manager, sets a root, and demonstrates storing additions, removals, and updates. It was published in 2023 and refers historically to a first final version based on MicroStream Version 8. Use it to understand the illustrated workflow, not to infer a current dependency version, compare performance, or decide production readiness without checking requirements specific to your application.
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Source: Sven Ruppert, “Eclipse Store: Up and Running,” DZone, October 4, 2023.
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