azure-data-tables-java
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
- 分区键设计:选择能均匀分布负载的键
- 批处理操作:使用事务进行原子性多实体更新
- 查询优化:尽可能始终按 PartitionKey 进行过滤
- 选择投影:仅选择所需的属性以提升性能
- 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"
---
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





首页
