Bangun aplikasi table storage menggunakan Azure Tables SDK for Java untuk mengelola data NoSQL key-value di Azure Table Storage atau Cosmos DB.
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Apa fungsi skill azure-data-tables-java?
azure-data-tables-java adalah agent skill. Bangun aplikasi table storage menggunakan Azure Tables SDK for Java untuk mengelola data NoSQL key-value di Azure Table Storage atau Cosmos DB.
Ringkasan dibuat dari SKILL.md skill ini.
Tentang skill azure-data-tables-java
Mengelola data NoSQL key-value di dalam lingkungan Azure adalah fungsi utama dari Java SDK ini. Developer dapat menggunakan tool ini untuk berinteraksi dengan Azure Table Storage atau Cosmos DB Table API guna penyimpanan data terstruktur tanpa skema (schemaless) dalam skala besar. SKILL ini menyediakan komponen yang diperlukan untuk menangani entity, yaitu baris yang dapat berisi hingga 252 properti.
Agent harus memuat skill ini ketika developer perlu mengimplementasikan operasi CRUD, mengelola lifecycle table, atau melakukan batch transaction dalam aplikasi Java. Tool ini menggunakan TableServiceClient untuk mengelola table itu sendiri dan TableClient untuk mengelola entity secara individual. Autentikasi dapat ditangani melalui berbagai metode termasuk connection strings, shared keys, SAS tokens, atau DefaultAzureCredential untuk storage accounts.
Tool ini membedakan dirinya dengan mendukung Azure Table Storage dan Cosmos DB melalui interface yang terpadu. Hal ini memungkinkan pengambilan data yang efisien menggunakan Partition Keys dan Row Keys, filter OData, serta select projections untuk mengoptimalkan performa. Anda harus tetap memperhatikan batasan ukuran entity, yaitu 1MB untuk storage standar dan 2MB untuk Cosmos DB.
Apa yang bisa dilakukan agent dengannya
- 1Eksekusi atomic batch transactionsKirimkan beberapa aksi entity sebagai satu transaksi tunggal selama mereka berbagi partition key yang sama.
- 2Query data dengan filter ODataAmbil subset data tertentu dengan menerapkan filter dan hanya memilih properti yang diperlukan.
Ditulis dari SKILL.md milik skill tersebut. Setiap use case diverifikasi dengan kutipan darinya.
Cara install skill azure-data-tables-java
Setiap perintah menyalin folder skill ke direktori skills client. Restart client atau mulai sesi baru untuk memuatnya.Install skill azure-data-tables-java di Claude Code
~/.claude/skills/azure-data-tables-java/SKILL.md
$ npx degit microsoft/skills/.github/plugins/azure-sdk-java/skills/azure-data-tables-java ~/.claude/skills/azure-data-tables-javaInstall skill azure-data-tables-java di Claude Code (project)
.claude/skills/azure-data-tables-java/SKILL.md
$ npx degit microsoft/skills/.github/plugins/azure-sdk-java/skills/azure-data-tables-java .claude/skills/azure-data-tables-javaInstall skill azure-data-tables-java di Codex
~/.agents/skills/azure-data-tables-java/SKILL.md
$ npx degit microsoft/skills/.github/plugins/azure-sdk-java/skills/azure-data-tables-java ~/.agents/skills/azure-data-tables-javaInstall skill azure-data-tables-java di Gemini CLI
~/.gemini/skills/azure-data-tables-java/SKILL.md
$ npx degit microsoft/skills/.github/plugins/azure-sdk-java/skills/azure-data-tables-java ~/.gemini/skills/azure-data-tables-javaInstall skill azure-data-tables-java di Claude.ai
npx degit microsoft/skills/.github/plugins/azure-sdk-java/skills/azure-data-tables-java azure-data-tables-java && zip -r azure-data-tables-java.zip azure-data-tables-java # claude.ai → Customize → Skills → + → Create skill → Upload a skill → azure-data-tables-java.zip
Pengecekan otomatis
Berjalan 15 Nov 2026Laporan lengkap →Lolos cek otomatis kami. Ini bukan audit keamanan: baca skripnya sebelum membiarkan agent menjalankannya. Cara kerja checks
- Source repository terhubung dan dapat dijangkaumicrosoft/skills/.github/plugins/azure-sdk-java/skills/azure-data-tables-java is public and reachablegithub.com/microsoft/skills/tree/HEAD/.github/plugins/azure- ↗Lolos
- Lisensi open source (OSI)MITspdx.org/licenses/MIT.html ↗Lolos
- Ada commit atau release dalam satu tahun terakhirLast commit 2026-11-11github.com/microsoft/skills/commits ↗Lolos
- Skrip tanpa unduh-lalu-jalankan atau pencurian kredensialNo scripts in the skill folderLolos
- Tidak ada instruksi tersembunyi di SKILL.mdNo override phrases, safeguard switches, credential requests or hidden charactersgithub.com/microsoft/skills/blob/HEAD/.github/plugins/azure- ↗Lolos
- Tool yang diizinkan otomatis dibatasiNo pre-approved tools; the agent asks before using onegithub.com/microsoft/skills/blob/HEAD/.github/plugins/azure- ↗Lolos
- SKILL.md mengikuti format Agent SkillsValid name and description; says when to use it; 351 linesgithub.com/microsoft/skills/blob/HEAD/.github/plugins/azure- ↗Lolos
SKILL.md
Lihat di GitHubAzure 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
<dependency>
<groupId>com.azure</groupId>
<artifactId>azure-data-tables</artifactId>
<version>12.6.0-beta.1</version>
</dependency>
Client Creation
With Connection String
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
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
TableServiceClient serviceClient = new TableServiceClientBuilder()
.endpoint("<your-table-account-url>")
.sasToken("<sas-token>")
.buildClient();
With DefaultAzureCredential (Storage only)
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
// Create table (throws if exists)
TableClient tableClient = serviceClient.createTable("mytable");
// Create if not exists (no exception)
TableClient tableClient = serviceClient.createTableIfNotExists("mytable");
Get Table Client
// From service client
TableClient tableClient = serviceClient.getTableClient("mytable");
// Direct construction
TableClient tableClient = new TableClientBuilder()
.connectionString("<connection-string>")
.tableName("mytable")
.buildClient();
Create Entity
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
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
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
// Insert or update (merge mode)
tableClient.upsertEntity(entity, TableEntityUpdateMode.MERGE);
// Insert or replace
tableClient.upsertEntity(entity, TableEntityUpdateMode.REPLACE);
Delete Entity
tableClient.deleteEntity("partitionKey", "rowKey");
List Entities
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
// 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)
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
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
serviceClient.deleteTable("mytable");
Typed Entities
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
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
# 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
- Partition Key Design: Choose keys that distribute load evenly
- Batch Operations: Use transactions for atomic multi-entity updates
- Query Optimization: Always filter by PartitionKey when possible
- Select Projection: Only select needed properties for performance
- 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"
Berkas dalam skill ini
2Pertanyaan seputar skill azure-data-tables-java
Bagaimana cara install skill azure-data-tables-java di Claude Code?
Jalankan npx degit microsoft/skills/.github/plugins/azure-sdk-java/skills/azure-data-tables-java ~/.claude/skills/azure-data-tables-java. Claude Code memuat skill dari ~/.claude/skills (semua proyek) atau .claude/skills (satu proyek) dan menggunakan skill saat deskripsinya cocok dengan tugas.
Client mana saja yang bisa menggunakan skill azure-data-tables-java?
Client apa pun yang membaca format Agent Skills: Claude Code, Codex, Gemini CLI, dan claude.ai (unggah sebagai ZIP). Script dalam skill hanya berjalan di client yang mengizinkan eksekusi kode.
Layanan apa saja yang bisa saya gunakan dengan SDK ini?
SDK ini berfungsi dengan Azure Table Storage maupun Cosmos DB Table API.