azure-cosmos-java
SDK for Java-based Azure Cosmos DB operations and reactive programming.
Install
mkdir -p .claude/skills/azure-cosmos-java && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/8443" && unzip -o skill.zip -d .claude/skills/azure-cosmos-java && rm skill.zipInstalls to .claude/skills/azure-cosmos-java
Activation
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Azure Cosmos DB SDK for Java. NoSQL database operations with global distribution, multi-model support, and reactive patterns. Triggers: "CosmosClient java", "CosmosAsyncClient", "cosmos database java", "cosmosdb java", "document database java".Key capabilities
- →Perform NoSQL document CRUD operations
- →Execute reactive database queries
- →Configure global distribution settings
- →Manage consistency levels
How it works
The SDK provides a client hierarchy for account, database, and container operations, supporting both synchronous and reactive asynchronous patterns.
Inputs & outputs
When to use azure-cosmos-java
- →NoSQL document operations in Java
- →Implementing reactive Cosmos DB queries
- →Setting up global distribution
About this skill
Azure Cosmos DB SDK for Java
Client library for Azure Cosmos DB NoSQL API with global distribution and reactive patterns.
Installation
<dependency>
<groupId>com.azure</groupId>
<artifactId>azure-cosmos</artifactId>
<version>LATEST</version>
</dependency>
Or use Azure SDK BOM:
<dependencyManagement>
<dependencies>
<dependency>
<groupId>com.azure</groupId>
<artifactId>azure-sdk-bom</artifactId>
<version>{bom_version}</version>
<type>pom</type>
<scope>import</scope>
</dependency>
</dependencies>
</dependencyManagement>
<dependencies>
<dependency>
<groupId>com.azure</groupId>
<artifactId>azure-cosmos</artifactId>
</dependency>
</dependencies>
Environment Variables
COSMOS_ENDPOINT=https://<account>.documents.azure.com:443/
COSMOS_KEY=<your-primary-key>
Authentication
Key-based Authentication
import com.azure.cosmos.CosmosClient;
import com.azure.cosmos.CosmosClientBuilder;
CosmosClient client = new CosmosClientBuilder()
.endpoint(System.getenv("COSMOS_ENDPOINT"))
.key(System.getenv("COSMOS_KEY"))
.buildClient();
Async Client
import com.azure.cosmos.CosmosAsyncClient;
CosmosAsyncClient asyncClient = new CosmosClientBuilder()
.endpoint(serviceEndpoint)
.key(key)
.buildAsyncClient();
With Customizations
import com.azure.cosmos.ConsistencyLevel;
import java.util.Arrays;
CosmosClient client = new CosmosClientBuilder()
.endpoint(serviceEndpoint)
.key(key)
.directMode(directConnectionConfig, gatewayConnectionConfig)
.consistencyLevel(ConsistencyLevel.SESSION)
.connectionSharingAcrossClientsEnabled(true)
.contentResponseOnWriteEnabled(true)
.userAgentSuffix("my-application")
.preferredRegions(Arrays.asList("West US", "East US"))
.buildClient();
Client Hierarchy
| Class | Purpose |
|---|---|
CosmosClient / CosmosAsyncClient | Account-level operations |
CosmosDatabase / CosmosAsyncDatabase | Database operations |
CosmosContainer / CosmosAsyncContainer | Container/item operations |
Core Workflow
Create Database
// Sync
client.createDatabaseIfNotExists("myDatabase")
.map(response -> client.getDatabase(response.getProperties().getId()));
// Async with chaining
asyncClient.createDatabaseIfNotExists("myDatabase")
.map(response -> asyncClient.getDatabase(response.getProperties().getId()))
.subscribe(database -> System.out.println("Created: " + database.getId()));
Create Container
asyncClient.createDatabaseIfNotExists("myDatabase")
.flatMap(dbResponse -> {
String databaseId = dbResponse.getProperties().getId();
return asyncClient.getDatabase(databaseId)
.createContainerIfNotExists("myContainer", "/partitionKey")
.map(containerResponse -> asyncClient.getDatabase(databaseId)
.getContainer(containerResponse.getProperties().getId()));
})
.subscribe(container -> System.out.println("Container: " + container.getId()));
CRUD Operations
import com.azure.cosmos.models.PartitionKey;
CosmosAsyncContainer container = asyncClient
.getDatabase("myDatabase")
.getContainer("myContainer");
// Create
container.createItem(new User("1", "John Doe", "[email protected]"))
.flatMap(response -> {
System.out.println("Created: " + response.getItem());
// Read
return container.readItem(
response.getItem().getId(),
new PartitionKey(response.getItem().getId()),
User.class);
})
.flatMap(response -> {
System.out.println("Read: " + response.getItem());
// Update
User user = response.getItem();
user.setEmail("[email protected]");
return container.replaceItem(
user,
user.getId(),
new PartitionKey(user.getId()));
})
.flatMap(response -> {
// Delete
return container.deleteItem(
response.getItem().getId(),
new PartitionKey(response.getItem().getId()));
})
.block();
Query Documents
import com.azure.cosmos.models.CosmosQueryRequestOptions;
import com.azure.cosmos.util.CosmosPagedIterable;
CosmosContainer container = client.getDatabase("myDatabase").getContainer("myContainer");
String query = "SELECT * FROM c WHERE c.status = @status";
CosmosQueryRequestOptions options = new CosmosQueryRequestOptions();
CosmosPagedIterable<User> results = container.queryItems(
query,
options,
User.class
);
results.forEach(user -> System.out.println("User: " + user.getName()));
Key Concepts
Partition Keys
Choose a partition key with:
- High cardinality (many distinct values)
- Even distribution of data and requests
- Frequently used in queries
Consistency Levels
| Level | Guarantee |
|---|---|
| Strong | Linearizability |
| Bounded Staleness | Consistent prefix with bounded lag |
| Session | Consistent prefix within session |
| Consistent Prefix | Reads never see out-of-order writes |
| Eventual | No ordering guarantee |
Request Units (RUs)
All operations consume RUs. Check response headers:
CosmosItemResponse<User> response = container.createItem(user);
System.out.println("RU charge: " + response.getRequestCharge());
Best Practices
- Reuse CosmosClient — Create once, reuse throughout application
- Use async client for high-throughput scenarios
- Choose partition key carefully — Affects performance and scalability
- Enable content response on write for immediate access to created items
- Configure preferred regions for geo-distributed applications
- Handle 429 errors with retry policies (built-in by default)
- Use direct mode for lowest latency in production
Error Handling
import com.azure.cosmos.CosmosException;
try {
container.createItem(item);
} catch (CosmosException e) {
System.err.println("Status: " + e.getStatusCode());
System.err.println("Message: " + e.getMessage());
System.err.println("Request charge: " + e.getRequestCharge());
if (e.getStatusCode() == 409) {
System.err.println("Item already exists");
} else if (e.getStatusCode() == 429) {
System.err.println("Rate limited, retry after: " + e.getRetryAfterDuration());
}
}
Reference Links
When not to use it
- →When requiring relational database features
- →When exceeding Request Unit budgets
Prerequisites
Limitations
- →Requires careful partition key selection for performance
- →Operations consume Request Units
How it compares
It enables reactive data streams for high-throughput scenarios compared to standard blocking database drivers.
Compared to similar skills
azure-cosmos-java side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| azure-cosmos-java (this skill) | 0 | 3mo | Review | Intermediate |
| jpa-patterns | 3 | 5mo | No flags | Intermediate |
| azure-storage-blob-java | 1 | 3mo | Review | Intermediate |
| ignite-cluster-setup | 1 | 7mo | Review | Intermediate |
Try saying
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