azure-cosmos-java
microsoft/skills
提供有關如何使用 Azure Cosmos DB Java SDK 的程式碼範例與指引,內容涵蓋設定、驗證、CRUD 操作以及查詢。
...展開全部Azure Cosmos DB Java SDK
適用於 Azure Cosmos DB NoSQL API 的客戶端函式庫,具備全球分佈與反應式模式。
安裝
com.azure
azure-cosmos
最新版本
或使用 Azure SDK BOM:
com.azure
azure-sdk-bom
{bom_version}
pom
import
com.azure
azure-cosmos
環境變數
COSMOS_ENDPOINT=https://.documents.azure.com:443/
COSMOS_KEY=
驗證
基於金鑰的驗證
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();
非同步客戶端
import com.azure.cosmos.CosmosAsyncClient;
CosmosAsyncClient asyncClient = new CosmosClientBuilder()
.endpoint(serviceEndpoint)
.key(key)
.buildAsyncClient();
包含自訂設定
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();
客戶端層級結構
| 類別 | 用途 |
|---|---|
CosmosClient/CosmosAsyncClient |
帳戶層級的操作 |
CosmosDatabase/CosmosAsyncDatabase |
資料庫操作 |
CosmosContainer/CosmosAsyncContainer |
容器/項目操作 |
核心工作流程
建立資料庫
// 同步
client.createDatabaseIfNotExists("myDatabase")
.map(response -> client.getDatabase(response.getProperties().getId()));
// 採用鏈式調用的非同步操作
asyncClient.createDatabaseIfNotExists("myDatabase")
.map(response -> asyncClient.getDatabase(response.getProperties().getId()))
.subscribe(database -> System.out.println("已建立: " + database.getId()));
建立容器
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("容器: " + container.getId()));
CRUD 操作
import com.azure.cosmos.models.PartitionKey;
CosmosAsyncContainer container = asyncClient
.getDatabase("myDatabase")
.getContainer("myContainer");
// 建立
container.createItem(new User("1", "John Doe", "[email protected]"))
.flatMap(response -> {
System.out.println("已建立: " + response.getItem());
// 讀取
return container.readItem(
response.getItem().getId(),
new PartitionKey(response.getItem().getId()),
User.class);
})
.flatMap(response -> {
System.out.println("讀取: " + response.getItem());
// 更新
User user = response.getItem();
user.setEmail("[email protected]");
return container.replaceItem(
user,
user.getId(),
new PartitionKey(user.getId()));
})
.flatMap(response -> {
// 刪除
return container.deleteItem(
response.getItem().getId(),
new PartitionKey(response.getItem().getId()));
})
.block();
查詢文件
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 results = container.queryItems(
query,
options,
User.class
);
results.forEach(user -> System.out.println("User: " + user.getName()));
關鍵概念
分區鍵
選擇分區鍵時應注意:
- 高基數(許多不同的值)
- 資料與請求的均勻分佈
- 在查詢中經常使用
一致性等級
| 層級 | 保證 |
|---|---|
| 強一致性 | 線性化 |
| 有限過時度 | 具有有界滯後的一致前綴 |
| 會話 | 會話內的相容前綴 |
| 一致的前綴 | 讀取操作絕不會看到順序錯亂的寫入 |
| 最終一致性 | 不保證順序 |
請求單位 (RUs)
所有操作都會消耗 RU。請檢查回應標頭:
CosmosItemResponse response = container.createItem(user);
System.out.println("RU 消耗量: " + response.getRequestCharge());
最佳實務
- 重複使用 CosmosClient— 僅需建立一次,即可在整個應用程式中重複使用
- 在高吞吐量情境下使用非同步客戶端
- 謹慎選擇分區鍵— 會影響效能與可擴展性
- 啟用寫入時的內容回應,以便立即存取已建立的項目
- 為地理分散式應用程式設定首選區域
- 透過重試政策(預設內建)處理 429 錯誤
- 在生產環境中使用直接模式以獲得最低延遲
錯誤處理
import com.azure.cosmos.CosmosException;
try {
container.createItem(item);
} catch (CosmosException e) {
System.err.println("狀態: " + e.getStatusCode());
System.err.println("訊息: " + e.getMessage());
System.err.println("請求費用: " + e.getRequestCharge());
if (e.getStatusCode() == 409) {
System.err.println("項目已存在");
} else if (e.getStatusCode() == 429) {
System.err.println("呼叫次數超限,請於 " + e.getRetryAfterDuration() + " 後重試");
}
}
參考連結
| 資源 | 網址 |
|---|---|
| Maven 套件 | https://central.sonatype.com/artifact/com.azure/azure-cosmos |
| API 文件 | https://azuresdkdocs.z19.web.core.windows.net/java/azure-cosmos/latest/index.html |
| 產品文件 | https://learn.microsoft.com/azure/cosmos-db/ |
| 範例 | https://github.com/Azure-Samples/azure-cosmos-java-sql-api-samples |
| 效能指南 | https://learn.microsoft.com/azure/cosmos-db/performance-tips-java-sdk-v4-sql |
| 疑難排解 | https://learn.microsoft.com/azure/cosmos-db/troubleshoot-java-sdk-v4-sql |
---
name: azure-cosmos-java
description: Provides code examples and guidance for using the Azure Cosmos DB SDK for Java, including setup, authentication, CRUD operations, and querying.
license: MIT
---
# Azure Cosmos DB SDK for Java
Client library for Azure Cosmos DB NoSQL API with global distribution and reactive patterns.
## Installation
```xml
<dependency>
<groupId>com.azure</groupId>
<artifactId>azure-cosmos</artifactId>
<version>LATEST</version>
</dependency>
```
Or use Azure SDK BOM:
```xml
<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
```bash
COSMOS_ENDPOINT=https://<account>.documents.azure.com:443/
COSMOS_KEY=<your-primary-key>
```
## Authentication
### Key-based Authentication
```java
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
```java
import com.azure.cosmos.CosmosAsyncClient;
CosmosAsyncClient asyncClient = new CosmosClientBuilder()
.endpoint(serviceEndpoint)
.key(key)
.buildAsyncClient();
```
### With Customizations
```java
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
```java
// 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
```java
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
```java
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
```java
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:
```java
CosmosItemResponse<User> response = container.createItem(user);
System.out.println("RU charge: " + response.getRequestCharge());
```
## Best Practices
1. **Reuse CosmosClient** — Create once, reuse throughout application
2. **Use async client** for high-throughput scenarios
3. **Choose partition key carefully** — Affects performance and scalability
4. **Enable content response on write** for immediate access to created items
5. **Configure preferred regions** for geo-distributed applications
6. **Handle 429 errors** with retry policies (built-in by default)
7. **Use direct mode** for lowest latency in production
## Error Handling
```java
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
| Resource | URL |
|----------|-----|
| Maven Package | https://central.sonatype.com/artifact/com.azure/azure-cosmos |
| API Documentation | https://azuresdkdocs.z19.web.core.windows.net/java/azure-cosmos/latest/index.html |
| Product Docs | https://learn.microsoft.com/azure/cosmos-db/ |
| Samples | https://github.com/Azure-Samples/azure-cosmos-java-sql-api-samples |
| Performance Guide | https://learn.microsoft.com/azure/cosmos-db/performance-tips-java-sdk-v4-sql |
| Troubleshooting | https://learn.microsoft.com/azure/cosmos-db/troubleshoot-java-sdk-v4-sql |
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