选项
首页首页 Skill 开发者工具 azure-data-tables-java

azure-data-tables-java

microsoft/skills microsoft/skills

使用 Azure Tables SDK for Java 构建表存储应用程序,该 SDK 同时支持 Azure 表存储和 Cosmos DB 表 API,用于处理 NoSQL 键值数据。

...展开全部
5
更新时间 2026-09-13

Azure 表存储 Java SDK

使用 Azure 表存储 Java SDK 构建表存储应用程序。该 SDK 同时支持 Azure 表存储和 Cosmos DB 表 API。

安装


  com.azure
  azure-data-tables
  12.6.0-beta.1

客户端创建

使用连接字符串

import com.azure.data.tables.TableServiceClient;
import com.azure.data.tables.TableServiceClientBuilder;
import com.azure.data.tables.TableClient;

TableServiceClient serviceClient = new TableServiceClientBuilder()
    .connectionString("")
    .buildClient();

使用共享密钥

import com.azure.core.credential.AzureNamedKeyCredential;

AzureNamedKeyCredential credential = new AzureNamedKeyCredential(
    "",
    "");

TableServiceClient serviceClient = new TableServiceClientBuilder()
    .endpoint("")
    .credential(credential)
    .buildClient();

使用 SAS 令牌

TableServiceClient serviceClient = new TableServiceClientBuilder()
    .endpoint("")
    .sasToken("")
    .buildClient();

使用 DefaultAzureCredential(仅限存储)

import com.azure.core.credential.TokenCredential;
import com.azure.identity.AzureIdentityEnvVars;
import com.azure.identity.DefaultAzureCredentialBuilder;
import com.azure.identity.ManagedIdentityCredentialBuilder;

// 本地开发环境:DefaultAzureCredential。生产环境:将 AZURE_TOKEN_CREDENTIALS 设置为 prod 或 AZURE_TOKEN_CREDENTIALS=
TokenCredential credential = new DefaultAzureCredentialBuilder()
    .requireEnvVars(AzureIdentityEnvVars.AZURE_TOKEN_CREDENTIALS)
    .build();
// 或者在生产环境中直接使用特定凭据:
// 参见 https://learn.microsoft.com/java/api/overview/azure/identity-readme?view=azure-java-stable#credential-classes
// TokenCredential credential = new ManagedIdentityCredentialBuilder().build();

TableServiceClient serviceClient = new TableServiceClientBuilder()
    .endpoint("")
    .credential(credential)
    .buildClient();

关键概念

  • TableServiceClient:管理表(创建、列出、删除)
  • TableClient:管理表中的实体(CRUD)
  • 分区键:将实体分组以实现高效查询
  • 行键:分区内的唯一标识符
  • 实体:包含最多 252 个属性的行(1MB 存储,2MB Cosmos)

核心模式

创建表

// 创建表(若已存在则抛出异常)
TableClient tableClient = serviceClient.createTable("mytable");

// 若不存在则创建(不抛出异常)
TableClient tableClient = serviceClient.createTableIfNotExists("mytable");

获取表客户端

// 从服务客户端获取
TableClient tableClient = serviceClient.getTableClient("mytable");

// 直接构建
TableClient tableClient = new TableClientBuilder()
    .connectionString("")
    .tableName("mytable")
    .buildClient();

创建实体

import com.azure.data.tables.models.TableEntity;

TableEntity entity = new TableEntity("partitionKey", "rowKey")
    .addProperty("Name", "Product A")
    .addProperty("Price", 29.99)
    .addProperty("Quantity", 100)
    .addProperty("IsAvailable", true);

tableClient.createEntity(entity);

获取实体

TableEntity 实体 = tableClient.getEntity("partitionKey", "rowKey");

String name = (String) entity.getProperty("Name");
Double price = (Double) entity.getProperty("Price");
System.out.printf("产品: %s, 价格: %.2f%n", name, price);

更新实体

import com.azure.data.tables.models.TableEntityUpdateMode;

// 合并(仅更新指定属性)
TableEntity updateEntity = new TableEntity("partitionKey", "rowKey")
    .addProperty("Price", 24.99);
tableClient.updateEntity(updateEntity, TableEntityUpdateMode.MERGE);

// 替换(替换整个实体)
TableEntity replaceEntity = new TableEntity("partitionKey", "rowKey")
    .addProperty("Name", "Product A Updated")
    .addProperty("Price", 24.99)
    .addProperty("Quantity", 150);
tableClient.updateEntity(replaceEntity, TableEntityUpdateMode.REPLACE);

Upsert 实体

// 插入或更新(合并模式)
tableClient.upsertEntity(entity, TableEntityUpdateMode.MERGE);

// 插入或替换
tableClient.upsertEntity(entity, TableEntityUpdateMode.REPLACE);

删除实体

tableClient.deleteEntity("partitionKey", "rowKey");

列出实体

import com.azure.data.tables.models.ListEntitiesOptions;

// 列出所有实体
for (TableEntity entity : tableClient.listEntities()) {
    System.out.printf("%s - %s%n",
        entity.getPartitionKey(),
        entity.getRowKey());
}

// 带过滤和筛选
ListEntitiesOptions options = new ListEntitiesOptions()
    .setFilter("PartitionKey eq 'sales'")
    .setSelect("Name", "Price");

for (TableEntity entity : tableClient.listEntities(options, null, null)) {
    System.out.printf("%s: %.2f%n",
        entity.getProperty("Name"),
        entity.getProperty("Price"));
}

使用 OData 过滤器进行查询

// 按分区键过滤
ListEntitiesOptions options = new ListEntitiesOptions()
    .setFilter("PartitionKey eq 'electronics'");

// 使用多个条件进行过滤
options.setFilter("PartitionKey eq 'electronics' and Price gt 100");

// 使用比较运算符进行过滤
options.setFilter("Quantity ge 10 and Quantity le 100");

// 返回前 N 条结果
options.setTop(10);

for (TableEntity entity : tableClient.listEntities(options, null, null)) {
    System.out.println(entity.getRowKey());
}

批量操作(事务)

import com.azure.data.tables.models.TableTransactionAction;
import com.azure.data.tables.models.TableTransactionActionType;
import java.util.Arrays;

// 所有实体必须具有相同的分区键
List actions = Arrays.asList(
    new TableTransactionAction(
        TableTransactionActionType.CREATE,
        new TableEntity("batch", "row1").addProperty("Name", "Item 1")),
    new TableTransactionAction(
        TableTransactionActionType.CREATE,
        new TableEntity("batch", "row2").addProperty("Name", "Item 2")),
    new TableTransactionAction(
        TableTransactionActionType.UPSERT_MERGE,
        new TableEntity("batch", "row3").addProperty("Name", "Item 3"))
);

tableClient.submitTransaction(actions);

列出表

import com.azure.data.tables.models.TableItem;
import com.azure.data.tables.models.ListTablesOptions;

// 列出所有表
for (TableItem table : serviceClient.listTables()) {
    System.out.println(table.getName());
}

// 筛选表
ListTablesOptions options = new ListTablesOptions()
    .setFilter("TableName eq 'mytable'");

for (TableItem table : serviceClient.listTables(options, null, null)) {
    System.out.println(table.getName());
}

删除表

serviceClient.deleteTable("mytable");

类型化实体

public class Product implements TableEntity {
    private String partitionKey;
    private String rowKey;
    private OffsetDateTime timestamp;
    private String eTag;
    private String name;
    private double price;
    
    // 所有字段的获取器和设置器
    @Override
    public String getPartitionKey() { return partitionKey; }
    @Override
    public void setPartitionKey(String partitionKey) { this.partitionKey = partitionKey; }
    @Override
    public String getRowKey() { return rowKey; }
    @Override
    public void setRowKey(String rowKey) { this.rowKey = rowKey; }
    // ... 其他获取器/设置器
    
    public String getName() { return name; }
    public void setName(String name) { this.name = name; }
    public double getPrice() { return price; }
    public void setPrice(double price) { this.price = price; }
}

// 使用示例
Product product = new Product();
product.setPartitionKey("electronics");
product.setRowKey("laptop-001");
product.setName("Laptop");
product.setPrice(999.99);

tableClient.createEntity(product);

错误处理

import com.azure.data.tables.models.TableServiceException;

try {
    tableClient.createEntity(entity);
} catch (TableServiceException e) {
    System.out.println("状态: " + e.getResponse().getStatusCode());
    System.out.println("错误: " + e.getMessage());
    // 409 = 冲突(实体已存在)
    // 404 = 未找到
}

环境变量

# 存储帐户
AZURE_TABLES_CONNECTION_STRING=DefaultEndpointsProtocol=https;AccountName=...  # Entra ID 身份验证的替代方案
AZURE_TABLES_ENDPOINT=https://.table.core.windows.net  # 所有身份验证方法均需此项
AZURE_TOKEN_CREDENTIALS=prod  # 仅当在生产环境中使用 DefaultAzureCredential 时才需要

# Cosmos DB 表 API
COSMOS_TABLE_ENDPOINT=https://.table.cosmosdb.azure.com  # Cosmos DB 表 API 的备用端点

最佳实践

  1. 分区键设计:选择能均匀分布负载的键
  2. 批处理操作:使用事务进行原子性多实体更新
  3. 查询优化:尽可能始终按 PartitionKey 进行过滤
  4. 选择投影:仅选择所需的属性以提升性能
  5. 实体大小:将实体大小控制在 1MB(Storage)或 2MB(Cosmos)以内

触发短语

  • “Azure Tables Java”
  • “表存储 SDK”
  • “Cosmos DB 表 API”
  • “NoSQL 键值存储”
  • “分区键 行键”
  • "表实体 CRUD"
在 GitHub 上查看
---
name: azure-data-tables-java
description: Build table storage applications using the Azure Tables SDK for Java, supporting both Azure Table Storage and Cosmos DB Table API for NoSQL key-value data.
license: MIT
---

# Azure Tables SDK for Java

Build table storage applications using the Azure Tables SDK for Java. Works with both Azure Table Storage and Cosmos DB Table API.

## Installation

```xml
<dependency>
  <groupId>com.azure</groupId>
  <artifactId>azure-data-tables</artifactId>
  <version>12.6.0-beta.1</version>
</dependency>
```

## Client Creation

### With Connection String

```java
import com.azure.data.tables.TableServiceClient;
import com.azure.data.tables.TableServiceClientBuilder;
import com.azure.data.tables.TableClient;

TableServiceClient serviceClient = new TableServiceClientBuilder()
    .connectionString("<your-connection-string>")
    .buildClient();
```

### With Shared Key

```java
import com.azure.core.credential.AzureNamedKeyCredential;

AzureNamedKeyCredential credential = new AzureNamedKeyCredential(
    "<account-name>",
    "<account-key>");

TableServiceClient serviceClient = new TableServiceClientBuilder()
    .endpoint("<your-table-account-url>")
    .credential(credential)
    .buildClient();
```

### With SAS Token

```java
TableServiceClient serviceClient = new TableServiceClientBuilder()
    .endpoint("<your-table-account-url>")
    .sasToken("<sas-token>")
    .buildClient();
```

### With DefaultAzureCredential (Storage only)

```java
import com.azure.core.credential.TokenCredential;
import com.azure.identity.AzureIdentityEnvVars;
import com.azure.identity.DefaultAzureCredentialBuilder;
import com.azure.identity.ManagedIdentityCredentialBuilder;

// Local dev: DefaultAzureCredential. Production: set AZURE_TOKEN_CREDENTIALS=prod or AZURE_TOKEN_CREDENTIALS=<specific_credential>
TokenCredential credential = new DefaultAzureCredentialBuilder()
    .requireEnvVars(AzureIdentityEnvVars.AZURE_TOKEN_CREDENTIALS)
    .build();
// Or use a specific credential directly in production:
// See https://learn.microsoft.com/java/api/overview/azure/identity-readme?view=azure-java-stable#credential-classes
// TokenCredential credential = new ManagedIdentityCredentialBuilder().build();

TableServiceClient serviceClient = new TableServiceClientBuilder()
    .endpoint("<your-table-account-url>")
    .credential(credential)
    .buildClient();
```

## Key Concepts

- **TableServiceClient**: Manage tables (create, list, delete)
- **TableClient**: Manage entities within a table (CRUD)
- **Partition Key**: Groups entities for efficient queries
- **Row Key**: Unique identifier within a partition
- **Entity**: A row with up to 252 properties (1MB Storage, 2MB Cosmos)

## Core Patterns

### Create Table

```java
// Create table (throws if exists)
TableClient tableClient = serviceClient.createTable("mytable");

// Create if not exists (no exception)
TableClient tableClient = serviceClient.createTableIfNotExists("mytable");
```

### Get Table Client

```java
// From service client
TableClient tableClient = serviceClient.getTableClient("mytable");

// Direct construction
TableClient tableClient = new TableClientBuilder()
    .connectionString("<connection-string>")
    .tableName("mytable")
    .buildClient();
```

### Create Entity

```java
import com.azure.data.tables.models.TableEntity;

TableEntity entity = new TableEntity("partitionKey", "rowKey")
    .addProperty("Name", "Product A")
    .addProperty("Price", 29.99)
    .addProperty("Quantity", 100)
    .addProperty("IsAvailable", true);

tableClient.createEntity(entity);
```

### Get Entity

```java
TableEntity entity = tableClient.getEntity("partitionKey", "rowKey");

String name = (String) entity.getProperty("Name");
Double price = (Double) entity.getProperty("Price");
System.out.printf("Product: %s, Price: %.2f%n", name, price);
```

### Update Entity

```java
import com.azure.data.tables.models.TableEntityUpdateMode;

// Merge (update only specified properties)
TableEntity updateEntity = new TableEntity("partitionKey", "rowKey")
    .addProperty("Price", 24.99);
tableClient.updateEntity(updateEntity, TableEntityUpdateMode.MERGE);

// Replace (replace entire entity)
TableEntity replaceEntity = new TableEntity("partitionKey", "rowKey")
    .addProperty("Name", "Product A Updated")
    .addProperty("Price", 24.99)
    .addProperty("Quantity", 150);
tableClient.updateEntity(replaceEntity, TableEntityUpdateMode.REPLACE);
```

### Upsert Entity

```java
// Insert or update (merge mode)
tableClient.upsertEntity(entity, TableEntityUpdateMode.MERGE);

// Insert or replace
tableClient.upsertEntity(entity, TableEntityUpdateMode.REPLACE);
```

### Delete Entity

```java
tableClient.deleteEntity("partitionKey", "rowKey");
```

### List Entities

```java
import com.azure.data.tables.models.ListEntitiesOptions;

// List all entities
for (TableEntity entity : tableClient.listEntities()) {
    System.out.printf("%s - %s%n",
        entity.getPartitionKey(),
        entity.getRowKey());
}

// With filtering and selection
ListEntitiesOptions options = new ListEntitiesOptions()
    .setFilter("PartitionKey eq 'sales'")
    .setSelect("Name", "Price");

for (TableEntity entity : tableClient.listEntities(options, null, null)) {
    System.out.printf("%s: %.2f%n",
        entity.getProperty("Name"),
        entity.getProperty("Price"));
}
```

### Query with OData Filter

```java
// Filter by partition key
ListEntitiesOptions options = new ListEntitiesOptions()
    .setFilter("PartitionKey eq 'electronics'");

// Filter with multiple conditions
options.setFilter("PartitionKey eq 'electronics' and Price gt 100");

// Filter with comparison operators
options.setFilter("Quantity ge 10 and Quantity le 100");

// Top N results
options.setTop(10);

for (TableEntity entity : tableClient.listEntities(options, null, null)) {
    System.out.println(entity.getRowKey());
}
```

### Batch Operations (Transactions)

```java
import com.azure.data.tables.models.TableTransactionAction;
import com.azure.data.tables.models.TableTransactionActionType;
import java.util.Arrays;

// All entities must have same partition key
List<TableTransactionAction> actions = Arrays.asList(
    new TableTransactionAction(
        TableTransactionActionType.CREATE,
        new TableEntity("batch", "row1").addProperty("Name", "Item 1")),
    new TableTransactionAction(
        TableTransactionActionType.CREATE,
        new TableEntity("batch", "row2").addProperty("Name", "Item 2")),
    new TableTransactionAction(
        TableTransactionActionType.UPSERT_MERGE,
        new TableEntity("batch", "row3").addProperty("Name", "Item 3"))
);

tableClient.submitTransaction(actions);
```

### List Tables

```java
import com.azure.data.tables.models.TableItem;
import com.azure.data.tables.models.ListTablesOptions;

// List all tables
for (TableItem table : serviceClient.listTables()) {
    System.out.println(table.getName());
}

// Filter tables
ListTablesOptions options = new ListTablesOptions()
    .setFilter("TableName eq 'mytable'");

for (TableItem table : serviceClient.listTables(options, null, null)) {
    System.out.println(table.getName());
}
```

### Delete Table

```java
serviceClient.deleteTable("mytable");
```

## Typed Entities

```java
public class Product implements TableEntity {
    private String partitionKey;
    private String rowKey;
    private OffsetDateTime timestamp;
    private String eTag;
    private String name;
    private double price;
    
    // Getters and setters for all fields
    @Override
    public String getPartitionKey() { return partitionKey; }
    @Override
    public void setPartitionKey(String partitionKey) { this.partitionKey = partitionKey; }
    @Override
    public String getRowKey() { return rowKey; }
    @Override
    public void setRowKey(String rowKey) { this.rowKey = rowKey; }
    // ... other getters/setters
    
    public String getName() { return name; }
    public void setName(String name) { this.name = name; }
    public double getPrice() { return price; }
    public void setPrice(double price) { this.price = price; }
}

// Usage
Product product = new Product();
product.setPartitionKey("electronics");
product.setRowKey("laptop-001");
product.setName("Laptop");
product.setPrice(999.99);

tableClient.createEntity(product);
```

## Error Handling

```java
import com.azure.data.tables.models.TableServiceException;

try {
    tableClient.createEntity(entity);
} catch (TableServiceException e) {
    System.out.println("Status: " + e.getResponse().getStatusCode());
    System.out.println("Error: " + e.getMessage());
    // 409 = Conflict (entity exists)
    // 404 = Not Found
}
```

## Environment Variables

```bash
# Storage Account
AZURE_TABLES_CONNECTION_STRING=DefaultEndpointsProtocol=https;AccountName=...  # Alternative to Entra ID auth
AZURE_TABLES_ENDPOINT=https://<account>.table.core.windows.net  # Required for all auth methods
AZURE_TOKEN_CREDENTIALS=prod  # Required only if DefaultAzureCredential is used in production

# Cosmos DB Table API
COSMOS_TABLE_ENDPOINT=https://<account>.table.cosmosdb.azure.com  # Alternative endpoint for Cosmos DB Table API
```

## Best Practices

1. **Partition Key Design**: Choose keys that distribute load evenly
2. **Batch Operations**: Use transactions for atomic multi-entity updates
3. **Query Optimization**: Always filter by PartitionKey when possible
4. **Select Projection**: Only select needed properties for performance
5. **Entity Size**: Keep entities under 1MB (Storage) or 2MB (Cosmos)

## Trigger Phrases

- "Azure Tables Java"
- "table storage SDK"
- "Cosmos DB Table API"
- "NoSQL key-value storage"
- "partition key row key"
- "table entity CRUD"

所有文件

0 个文件

安装 azure-data-tables-java

下载技能文件并将其解压到 .claude/skills/ 目录中。

下载ZIP

克隆仓库并复制技能文件到您的项目中。

git clone https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-java/skills/azure-data-tables-java # Copy SKILL.md to your .claude/skills/ directory

复制 复制
快速设置: 将技能文件夹复制到 .claude/skills/ Claude 会自动检测并使用该技能

相关技能

algorithmic-art
更新时间 2026-08-27
receiving-code-review
更新时间 2026-09-03
tech-debt-tracker
更新时间 2026-08-29
senior-backend
更新时间 2026-08-30
OR