Azure Compute Batch Java Agent Skill

by lingxling

Azure Batch SDK for Java. Run large-scale parallel and HPC batch jobs with pools, jobs, tasks, and compute nodes.

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Install

one command, takes just this skill from the repository

npx skills add https://github.com/lingxling/awesome-skills-cn --skill azure-compute-batch-java

The instruction itself

44 sections, as written by the author

Azure Batch SDK for Java

Client library for running large-scale parallel and high-performance computing (HPC) batch jobs in Azure.

Installation

<dependency>
    <groupId>com.azure</groupId>
    <artifactId>azure-compute-batch</artifactId>
    <version>1.0.0-beta.5</version>
</dependency>

Prerequisites

Azure Batch account
Pool configured with compute nodes
Azure subscription

Environment Variables

AZURE_BATCH_ENDPOINT=https://<account>.<region>.batch.azure.com
AZURE_BATCH_ACCOUNT=<account-name>
AZURE_BATCH_ACCESS_KEY=<account-key>

Client Creation

With Microsoft Entra ID (Recommended)

import com.azure.compute.batch.BatchClient;
import com.azure.compute.batch.BatchClientBuilder;
import com.azure.identity.DefaultAzureCredentialBuilder;

BatchClient batchClient = new BatchClientBuilder()
    .credential(new DefaultAzureCredentialBuilder().build())
    .endpoint(System.getenv("AZURE_BATCH_ENDPOINT"))
    .buildClient();

Async Client

import com.azure.compute.batch.BatchAsyncClient;

BatchAsyncClient batchAsyncClient = new BatchClientBuilder()
    .credential(new DefaultAzureCredentialBuilder().build())
    .endpoint(System.getenv("AZURE_BATCH_ENDPOINT"))
    .buildAsyncClient();

With Shared Key Credentials

import com.azure.core.credential.AzureNamedKeyCredential;

String accountName = System.getenv("AZURE_BATCH_ACCOUNT");
String accountKey = System.getenv("AZURE_BATCH_ACCESS_KEY");
AzureNamedKeyCredential sharedKeyCreds = new AzureNamedKeyCredential(accountName, accountKey);

BatchClient batchClient = new BatchClientBuilder()
    .credential(sharedKeyCreds)
    .endpoint(System.getenv("AZURE_BATCH_ENDPOINT"))
    .buildClient();

Key Concepts

| Concept | Description |

|---------|-------------|

| Pool | Collection of compute nodes that run tasks |

| Job | Logical grouping of tasks |

| Task | Unit of computation (command/script) |

| Node | VM that executes tasks |

| Job Schedule | Recurring job creation |

Pool Operations

Create Pool

import com.azure.compute.batch.models.*;

batchClient.createPool(new BatchPoolCreateParameters("myPoolId", "STANDARD_DC2s_V2")
    .setVirtualMachineConfiguration(
        new VirtualMachineConfiguration(
            new BatchVmImageReference()
                .setPublisher("Canonical")
                .setOffer("UbuntuServer")
                .setSku("22_04-lts")
                .setVersion("latest"),
            "batch.node.ubuntu 22.04"))
    .setTargetDedicatedNodes(2)
    .setTargetLowPriorityNodes(0), null);

Get Pool

BatchPool pool = batchClient.getPool("myPoolId");
System.out.println("Pool state: " + pool.getState());
System.out.println("Current dedicated nodes: " + pool.getCurrentDedicatedNodes());

List Pools

import com.azure.core.http.rest.PagedIterable;

PagedIterable<BatchPool> pools = batchClient.listPools();
for (BatchPool pool : pools) {
    System.out.println("Pool: " + pool.getId() + ", State: " + pool.getState());
}

Resize Pool

import com.azure.core.util.polling.SyncPoller;

BatchPoolResizeParameters resizeParams = new BatchPoolResizeParameters()
    .setTargetDedicatedNodes(4)
    .setTargetLowPriorityNodes(2);

SyncPoller<BatchPool, BatchPool> poller = batchClient.beginResizePool("myPoolId", resizeParams);
poller.waitForCompletion();
BatchPool resizedPool = poller.getFinalResult();

Enable AutoScale

BatchPoolEnableAutoScaleParameters autoScaleParams = new BatchPoolEnableAutoScaleParameters()
    .setAutoScaleEvaluationInterval(Duration.ofMinutes(5))
    .setAutoScaleFormula("$TargetDedicatedNodes = min(10, $PendingTasks.GetSample(TimeInterval_Minute * 5));");

batchClient.enablePoolAutoScale("myPoolId", autoScaleParams);

Delete Pool

SyncPoller<BatchPool, Void> deletePoller = batchClient.beginDeletePool("myPoolId");
deletePoller.waitForCompletion();

Job Operations

Create Job

batchClient.createJob(
    new BatchJobCreateParameters("myJobId", new BatchPoolInfo().setPoolId("myPoolId"))
        .setPriority(100)
        .setConstraints(new BatchJobConstraints()
            .setMaxWallClockTime(Duration.ofHours(24))
            .setMaxTaskRetryCount(3)),
    null);

Get Job

BatchJob job = batchClient.getJob("myJobId", null, null);
System.out.println("Job state: " + job.getState());

List Jobs

PagedIterable<BatchJob> jobs = batchClient.listJobs(new BatchJobsListOptions());
for (BatchJob job : jobs) {
    System.out.println("Job: " + job.getId() + ", State: " + job.getState());
}

Get Task Counts

BatchTaskCountsResult counts = batchClient.getJobTaskCounts("myJobId");
System.out.println("Active: " + counts.getTaskCounts().getActive());
System.out.println("Running: " + counts.getTaskCounts().getRunning());
System.out.println("Completed: " + counts.getTaskCounts().getCompleted());

Terminate Job

BatchJobTerminateParameters terminateParams = new BatchJobTerminateParameters()
    .setTerminationReason("Manual termination");
BatchJobTerminateOptions options = new BatchJobTerminateOptions().setParameters(terminateParams);

SyncPoller<BatchJob, BatchJob> poller = batchClient.beginTerminateJob("myJobId", options, null);
poller.waitForCompletion();

Delete Job

SyncPoller<BatchJob, Void> deletePoller = batchClient.beginDeleteJob("myJobId");
deletePoller.waitForCompletion();

Task Operations

Create Single Task

BatchTaskCreateParameters task = new BatchTaskCreateParameters("task1", "echo 'Hello World'");
batchClient.createTask("myJobId", task);

Create Task with Exit Conditions

batchClient.createTask("myJobId", new BatchTaskCreateParameters("task2", "cmd /c exit 3")
    .setExitConditions(new ExitConditions()
        .setExitCodeRanges(Arrays.asList(
            new ExitCodeRangeMapping(2, 4, 
                new ExitOptions().setJobAction(BatchJobActionKind.TERMINATE)))))
    .setUserIdentity(new UserIdentity()
        .setAutoUser(new AutoUserSpecification()
            .setScope(AutoUserScope.TASK)
            .setElevationLevel(ElevationLevel.NON_ADMIN))),
    null);

Create Task Collection (up to 100)

List<BatchTaskCreateParameters> taskList = Arrays.asList(
    new BatchTaskCreateParameters("task1", "echo Task 1"),
    new BatchTaskCreateParameters("task2", "echo Task 2"),
    new BatchTaskCreateParameters("task3", "echo Task 3")
);
BatchTaskGroup taskGroup = new BatchTaskGroup(taskList);
BatchCreateTaskCollectionResult result = batchClient.createTaskCollection("myJobId", taskGroup);

Create Many Tasks (no limit)

List<BatchTaskCreateParameters> tasks = new ArrayList<>();
for (int i = 0; i < 1000; i++) {
    tasks.add(new BatchTaskCreateParameters("task" + i, "echo Task " + i));
}
batchClient.createTasks("myJobId", tasks);

Get Task

BatchTask task = batchClient.getTask("myJobId", "task1");
System.out.println("Task state: " + task.getState());
System.out.println("Exit code: " + task.getExecutionInfo().getExitCode());

List Tasks

PagedIterable<BatchTask> tasks = batchClient.listTasks("myJobId");
for (BatchTask task : tasks) {
    System.out.println("Task: " + task.getId() + ", State: " + task.getState());
}

Get Task Output

import com.azure.core.util.BinaryData;
import java.nio.charset.StandardCharsets;

BinaryData stdout = batchClient.getTaskFile("myJobId", "task1", "stdout.txt");
System.out.println(new String(stdout.toBytes(), StandardCharsets.UTF_8));

Terminate Task

batchClient.terminateTask("myJobId", "task1", null, null);

Node Operations

List Nodes

PagedIterable<BatchNode> nodes = batchClient.listNodes("myPoolId", new BatchNodesListOptions());
for (BatchNode node : nodes) {
    System.out.println("Node: " + node.getId() + ", State: " + node.getState());
}

Reboot Node

SyncPoller<BatchNode, BatchNode> rebootPoller = batchClient.beginRebootNode("myPoolId", "nodeId");
rebootPoller.waitForCompletion();

BatchNodeRemoteLoginSettings settings = batchClient.getNodeRemoteLoginSettings("myPoolId", "nodeId");
System.out.println("IP: " + settings.getRemoteLoginIpAddress());
System.out.println("Port: " + settings.getRemoteLoginPort());

Job Schedule Operations

Create Job Schedule

batchClient.createJobSchedule(new BatchJobScheduleCreateParameters("myScheduleId",
    new BatchJobScheduleConfiguration()
        .setRecurrenceInterval(Duration.ofHours(6))
        .setDoNotRunUntil(OffsetDateTime.now().plusDays(1)),
    new BatchJobSpecification(new BatchPoolInfo().setPoolId("myPoolId"))
        .setPriority(50)),
    null);

Get Job Schedule

BatchJobSchedule schedule = batchClient.getJobSchedule("myScheduleId");
System.out.println("Schedule state: " + schedule.getState());

Error Handling

import com.azure.compute.batch.models.BatchErrorException;
import com.azure.compute.batch.models.BatchError;

try {
    batchClient.getPool("nonexistent-pool");
} catch (BatchErrorException e) {
    BatchError error = e.getValue();
    System.err.println("Error code: " + error.getCode());
    System.err.println("Message: " + error.getMessage().getValue());
    
    if ("PoolNotFound".equals(error.getCode())) {
        System.err.println("The specified pool does not exist.");
    }
}

Best Practices

Use Entra ID — Preferred over shared key for authentication
Use management SDK for pools — azure-resourcemanager-batch supports managed identities
Batch task creation — Use createTaskCollection or createTasks for multiple tasks
Handle LRO properly — Pool resize, delete operations are long-running
Monitor task counts — Use getJobTaskCounts to track progress
Set constraints — Configure maxWallClockTime and maxTaskRetryCount
Use low-priority nodes — Cost savings for fault-tolerant workloads
Enable autoscale — Dynamically adjust pool size based on workload

Reference Links

| Resource | URL |

|----------|-----|

| Maven Package | https://central.sonatype.com/artifact/com.azure/azure-compute-batch |

| GitHub | https://github.com/Azure/azure-sdk-for-java/tree/main/sdk/batch/azure-compute-batch |

| API Documentation | https://learn.microsoft.com/java/api/com.azure.compute.batch |

| Product Docs | https://learn.microsoft.com/azure/batch/ |

| REST API | https://learn.microsoft.com/rest/api/batchservice/ |

| Samples | https://github.com/azure/azure-batch-samples |

When to Use

This skill is applicable to execute the workflow or actions described in the overview.

Limitations

Use this skill only when the task clearly matches the scope described above.
Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

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How to use it

Copy the folder

Take lingxling/azure-compute-batch-java from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

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Azure Compute Batch Java Agent Skill

Install

The instruction itself

Azure Batch SDK for Java

Installation

Prerequisites

Environment Variables

Client Creation

With Microsoft Entra ID (Recommended)

Async Client

With Shared Key Credentials

Key Concepts

Pool Operations

Create Pool

Get Pool

List Pools

Resize Pool

Enable AutoScale

Delete Pool

Job Operations

Create Job

Get Job

List Jobs

Get Task Counts

Terminate Job

Delete Job

Task Operations

Create Single Task

Create Task with Exit Conditions

Create Task Collection (up to 100)

Create Many Tasks (no limit)

Get Task

List Tasks

Get Task Output

Terminate Task

Node Operations

List Nodes

Reboot Node

Get Remote Login Settings

Job Schedule Operations

Create Job Schedule

Get Job Schedule

Error Handling

Best Practices

Reference Links

When to Use

Limitations

Other skills for the same job

How to use it