Weitere AWS SDK-Beispiele sind im GitHub Repo [AWS Doc SDK Examples](https://github.com/awsdocs/aws-doc-sdk-examples) verfügbar.

Die vorliegende Übersetzung wurde maschinell erstellt. Im Falle eines Konflikts oder eines Widerspruchs zwischen dieser übersetzten Fassung und der englischen Fassung (einschließlich infolge von Verzögerungen bei der Übersetzung) ist die englische Fassung maßgeblich.

# Szenarien für die AWS Batch Verwendung AWS SDKs
<a name="batch_code_examples_scenarios"></a>

Die folgenden Codebeispiele zeigen Ihnen, wie Sie gängige Szenarien in AWS Batch with implementieren AWS SDKs. Diese Szenarien zeigen Ihnen, wie Sie bestimmte Aufgaben erledigen können, indem Sie mehrere Funktionen innerhalb AWS Batch oder in Kombination mit anderen aufrufen AWS-Services. Jedes Szenario enthält einen Link zum vollständigen Quell-Code, wo Sie Anleitungen zum Einrichten und Ausführen des Codes finden. 

Szenarien zielen auf eine mittlere Erfahrungsebene ab, um Ihnen zu helfen, Service-Aktionen im Kontext zu verstehen.

**Topics**
+ [Erste Schritte mit Batch und Fargate](batch_example_fargate_GettingStarted_section.md)

# Erste Schritte mit Batch und Fargate mithilfe der CLI
<a name="batch_example_fargate_GettingStarted_section"></a>

Wie das aussehen kann, sehen Sie am nachfolgenden Beispielcode:
+ Erstellen einer IAM-Ausführungsrolle für ECS-Aufgaben
+ Erstellen einer verwalteten Fargate-Datenverarbeitungsumgebung
+ Erstellen einer Auftragswarteschlange mit Prioritätseinstellungen
+ Registrieren einer Auftragsdefinition für containerisierte Workloads
+ Übermitteln und Überwachen einer Batch-Auftragsausführung
+ Jobausgabe in CloudWatch Logs anzeigen
+ Bereinigen von Ressourcen in der richtigen Reihenfolge der Abhängigkeiten

------
#### [ Bash ]

**AWS CLI mit Bash-Skript**  
 Es gibt noch mehr dazu. GitHub Hier finden Sie das vollständige Beispiel und erfahren, wie Sie es im [Tutorials und Beispiele](https://github.com/aws-samples/sample-developer-tutorials/tree/main/tuts/011-getting-started-batch-fargate)-Repository für Entwickler einrichten und ausführen. 

```
#!/bin/bash

# AWS Batch Fargate Getting Started Script - Fixed Version
# This script demonstrates creating AWS Batch resources with Fargate orchestration
#
# HIGH SEVERITY FIXES APPLIED:
# 1. Added IAM role propagation delay after role creation
# 2. Added resource state validation before deletion attempts

set -e  # Exit on any error

# Configuration
SCRIPT_NAME="batch-fargate-tutorial"
LOG_FILE="${SCRIPT_NAME}-$(date +%Y%m%d-%H%M%S).log"
RANDOM_SUFFIX=$(openssl rand -hex 6)
COMPUTE_ENV_NAME="batch-fargate-compute-${RANDOM_SUFFIX}"
JOB_QUEUE_NAME="batch-fargate-queue-${RANDOM_SUFFIX}"
JOB_DEF_NAME="batch-fargate-jobdef-${RANDOM_SUFFIX}"
JOB_NAME="batch-hello-world-${RANDOM_SUFFIX}"
ROLE_NAME="BatchEcsTaskExecutionRole-${RANDOM_SUFFIX}"
TRUST_POLICY_FILE="batch-trust-policy-${RANDOM_SUFFIX}.json"

# Array to track created resources for cleanup
CREATED_RESOURCES=()

# Logging function
log() {
    echo "[$(date '+%Y-%m-%d %H:%M:%S')] $1" | tee -a "$LOG_FILE"
}

# Error handling function
handle_error() {
    log "ERROR: Script failed at line $1"
    log "Attempting to clean up resources created so far..."
    cleanup_resources
    exit 1
}

# Set up error handling
trap 'handle_error $LINENO' ERR

# Function to wait for resource to be ready
wait_for_compute_env() {
    local env_name=$1
    log "Waiting for compute environment $env_name to be VALID..."
    
    while true; do
        local status=$(aws batch describe-compute-environments \
            --compute-environments "$env_name" \
            --query 'computeEnvironments[0].status' \
            --output text 2>/dev/null || echo "NOT_FOUND")
        
        if [ "$status" = "VALID" ]; then
            log "Compute environment $env_name is ready"
            break
        elif [ "$status" = "INVALID" ] || [ "$status" = "NOT_FOUND" ]; then
            log "ERROR: Compute environment $env_name failed to create properly"
            return 1
        fi
        
        log "Compute environment status: $status. Waiting 10 seconds..."
        sleep 10
    done
}

# Function to wait for job queue to be ready
wait_for_job_queue() {
    local queue_name=$1
    log "Waiting for job queue $queue_name to be VALID..."
    
    while true; do
        local state=$(aws batch describe-job-queues \
            --job-queues "$queue_name" \
            --query 'jobQueues[0].state' \
            --output text 2>/dev/null || echo "NOT_FOUND")
        
        if [ "$state" = "ENABLED" ]; then
            log "Job queue $queue_name is ready"
            break
        elif [ "$state" = "DISABLED" ] || [ "$state" = "NOT_FOUND" ]; then
            log "ERROR: Job queue $queue_name failed to create properly"
            return 1
        fi
        
        log "Job queue state: $state. Waiting 10 seconds..."
        sleep 10
    done
}

# Function to wait for job completion
wait_for_job() {
    local job_id=$1
    log "Waiting for job $job_id to complete..."
    
    while true; do
        local status=$(aws batch describe-jobs \
            --jobs "$job_id" \
            --query 'jobs[0].status' \
            --output text 2>/dev/null || echo "NOT_FOUND")
        
        if [ "$status" = "SUCCEEDED" ]; then
            log "Job $job_id completed successfully"
            break
        elif [ "$status" = "FAILED" ]; then
            log "ERROR: Job $job_id failed"
            return 1
        fi
        
        log "Job status: $status. Waiting 30 seconds..."
        sleep 30
    done
}

# FIXED: Added function to wait for resource state before deletion
wait_for_resource_state() {
    local resource_type=$1
    local resource_name=$2
    local expected_state=$3
    local max_attempts=30
    local attempt=0
    
    log "Waiting for $resource_type $resource_name to reach state: $expected_state"
    
    while [ $attempt -lt $max_attempts ]; do
        local current_state=""
        
        case $resource_type in
            "JOB_QUEUE")
                current_state=$(aws batch describe-job-queues \
                    --job-queues "$resource_name" \
                    --query 'jobQueues[0].state' \
                    --output text 2>/dev/null || echo "NOT_FOUND")
                ;;
            "COMPUTE_ENV")
                current_state=$(aws batch describe-compute-environments \
                    --compute-environments "$resource_name" \
                    --query 'computeEnvironments[0].status' \
                    --output text 2>/dev/null || echo "NOT_FOUND")
                ;;
        esac
        
        if [ "$current_state" = "$expected_state" ]; then
            log "$resource_type $resource_name is now in state: $expected_state"
            return 0
        fi
        
        log "$resource_type $resource_name state: $current_state (waiting for $expected_state)"
        sleep 10
        ((attempt++))
    done
    
    log "WARNING: $resource_type $resource_name did not reach expected state after $max_attempts attempts"
    return 1
}

# Cleanup function
cleanup_resources() {
    log "Starting cleanup of created resources..."
    
    # Clean up in reverse order of creation
    for ((i=${#CREATED_RESOURCES[@]}-1; i>=0; i--)); do
        local resource="${CREATED_RESOURCES[i]}"
        local resource_type=$(echo "$resource" | cut -d: -f1)
        local resource_name=$(echo "$resource" | cut -d: -f2)
        
        log "Cleaning up $resource_type: $resource_name"
        
        case $resource_type in
            "JOB_QUEUE")
                # FIXED: Validate state before deletion
                aws batch update-job-queue --job-queue "$resource_name" --state DISABLED 2>/dev/null || true
                wait_for_resource_state "JOB_QUEUE" "$resource_name" "DISABLED" || true
                aws batch delete-job-queue --job-queue "$resource_name" 2>/dev/null || true
                ;;
            "COMPUTE_ENV")
                # FIXED: Validate state before deletion
                aws batch update-compute-environment --compute-environment "$resource_name" --state DISABLED 2>/dev/null || true
                wait_for_resource_state "COMPUTE_ENV" "$resource_name" "DISABLED" || true
                aws batch delete-compute-environment --compute-environment "$resource_name" 2>/dev/null || true
                ;;
            "IAM_ROLE")
                aws iam detach-role-policy --role-name "$resource_name" --policy-arn "arn:aws:iam::aws:policy/service-role/AmazonECSTaskExecutionRolePolicy" 2>/dev/null || true
                aws iam delete-role --role-name "$resource_name" 2>/dev/null || true
                ;;
            "FILE")
                rm -f "$resource_name" 2>/dev/null || true
                ;;
        esac
    done
    
    log "Cleanup completed"
}

# Main script execution
main() {
    log "Starting AWS Batch Fargate tutorial script - Fixed Version"
    log "Log file: $LOG_FILE"
    
    # Get AWS account ID
    log "Getting AWS account ID..."
    ACCOUNT_ID=$(aws sts get-caller-identity --query Account --output text)
    log "Account ID: $ACCOUNT_ID"
    
    # Get default VPC and subnets
    log "Getting default VPC and subnets..."
    DEFAULT_VPC=$(aws ec2 describe-vpcs \
        --filters "Name=is-default,Values=true" \
        --query 'Vpcs[0].VpcId' \
        --output text)
    
    if [ "$DEFAULT_VPC" = "None" ] || [ "$DEFAULT_VPC" = "null" ]; then
        log "ERROR: No default VPC found. Please create a VPC first."
        exit 1
    fi
    
    log "Default VPC: $DEFAULT_VPC"
    
    # Get subnets in the default VPC
    SUBNETS=$(aws ec2 describe-subnets \
        --filters "Name=vpc-id,Values=$DEFAULT_VPC" \
        --query 'Subnets[*].SubnetId' \
        --output text)
    
    if [ -z "$SUBNETS" ]; then
        log "ERROR: No subnets found in default VPC"
        exit 1
    fi
    
    # Convert tab/space-separated subnets to JSON array format
    SUBNET_ARRAY=$(echo "$SUBNETS" | tr '\t ' '\n' | sed 's/^/"/;s/$/"/' | paste -sd ',' -)
    log "Subnets: $SUBNETS"
    log "Subnet array: [$SUBNET_ARRAY]"
    
    # Get default security group for the VPC
    DEFAULT_SG=$(aws ec2 describe-security-groups \
        --filters "Name=vpc-id,Values=$DEFAULT_VPC" "Name=group-name,Values=default" \
        --query 'SecurityGroups[0].GroupId' \
        --output text)
    
    if [ "$DEFAULT_SG" = "None" ] || [ "$DEFAULT_SG" = "null" ]; then
        log "ERROR: No default security group found in VPC"
        exit 1
    fi
    
    log "Default security group: $DEFAULT_SG"
    
    # Step 1: Create IAM execution role
    log "Step 1: Creating IAM execution role..."
    
    # Create trust policy document
    cat > "$TRUST_POLICY_FILE" << EOF
{
  "Version":"2012-10-17",		 	 	 
  "Statement": [
    {
      "Effect": "Allow",
      "Principal": {
        "Service": "ecs-tasks.amazonaws.com"
      },
      "Action": "sts:AssumeRole"
    }
  ]
}
EOF
    CREATED_RESOURCES+=("FILE:$TRUST_POLICY_FILE")
    
    # Create the role
    aws iam create-role \
        --role-name "$ROLE_NAME" \
        --assume-role-policy-document "file://$TRUST_POLICY_FILE"
    CREATED_RESOURCES+=("IAM_ROLE:$ROLE_NAME")
    
    # Attach policy
    aws iam attach-role-policy \
        --role-name "$ROLE_NAME" \
        --policy-arn "arn:aws:iam::aws:policy/service-role/AmazonECSTaskExecutionRolePolicy"
    
    log "IAM role created: $ROLE_NAME"
    
    # FIXED: Wait for IAM role propagation
    log "Waiting for IAM role propagation (15 seconds)..."
    sleep 15
    
    # Step 2: Create compute environment
    log "Step 2: Creating Fargate compute environment..."
    
    aws batch create-compute-environment \
        --compute-environment-name "$COMPUTE_ENV_NAME" \
        --type MANAGED \
        --state ENABLED \
        --compute-resources "{
            \"type\": \"FARGATE\",
            \"maxvCpus\": 256,
            \"subnets\": [$SUBNET_ARRAY],
            \"securityGroupIds\": [\"$DEFAULT_SG\"]
        }"
    CREATED_RESOURCES+=("COMPUTE_ENV:$COMPUTE_ENV_NAME")
    
    # Wait for compute environment to be ready
    wait_for_compute_env "$COMPUTE_ENV_NAME"
    
    # Step 3: Create job queue
    log "Step 3: Creating job queue..."
    
    aws batch create-job-queue \
        --job-queue-name "$JOB_QUEUE_NAME" \
        --state ENABLED \
        --priority 900 \
        --compute-environment-order order=1,computeEnvironment="$COMPUTE_ENV_NAME"
    CREATED_RESOURCES+=("JOB_QUEUE:$JOB_QUEUE_NAME")
    
    # Wait for job queue to be ready
    wait_for_job_queue "$JOB_QUEUE_NAME"
    
    # Step 4: Create job definition
    log "Step 4: Creating job definition..."
    
    aws batch register-job-definition \
        --job-definition-name "$JOB_DEF_NAME" \
        --type container \
        --platform-capabilities FARGATE \
        --container-properties "{
            \"image\": \"busybox\",
            \"resourceRequirements\": [
                {\"type\": \"VCPU\", \"value\": \"0.25\"},
                {\"type\": \"MEMORY\", \"value\": \"512\"}
            ],
            \"command\": [\"echo\", \"hello world\"],
            \"networkConfiguration\": {
                \"assignPublicIp\": \"ENABLED\"
            },
            \"executionRoleArn\": \"arn:aws:iam::${ACCOUNT_ID}:role/${ROLE_NAME}\"
        }"
    
    log "Job definition created: $JOB_DEF_NAME"
    
    # Step 5: Submit job
    log "Step 5: Submitting job..."
    
    JOB_ID=$(aws batch submit-job \
        --job-name "$JOB_NAME" \
        --job-queue "$JOB_QUEUE_NAME" \
        --job-definition "$JOB_DEF_NAME" \
        --query 'jobId' \
        --output text)
    
    log "Job submitted with ID: $JOB_ID"
    
    # Step 6: Wait for job completion and view output
    log "Step 6: Waiting for job completion..."
    wait_for_job "$JOB_ID"
    
    # Get log stream name
    log "Getting job logs..."
    LOG_STREAM=$(aws batch describe-jobs \
        --jobs "$JOB_ID" \
        --query 'jobs[0].attempts[0].taskProperties.containers[0].logStreamName' \
        --output text)
    
    if [ "$LOG_STREAM" != "None" ] && [ "$LOG_STREAM" != "null" ]; then
        log "Log stream: $LOG_STREAM"
        log "Job output:"
        aws logs get-log-events \
            --log-group-name "/aws/batch/job" \
            --log-stream-name "$LOG_STREAM" \
            --query 'events[*].message' \
            --output text | tee -a "$LOG_FILE"
    else
        log "No log stream available for job"
    fi
    
    log "Tutorial completed successfully!"
    
    # Show created resources
    echo ""
    echo "==========================================="
    echo "CREATED RESOURCES"
    echo "==========================================="
    echo "The following resources were created:"
    for resource in "${CREATED_RESOURCES[@]}"; do
        echo "  - $resource"
    done
    echo ""
    echo "==========================================="
    echo "CLEANUP CONFIRMATION"
    echo "==========================================="
    echo "Do you want to clean up all created resources? (y/n): "
    read -r CLEANUP_CHOICE
    
    if [[ "$CLEANUP_CHOICE" =~ ^[Yy]$ ]]; then
        cleanup_resources
        log "All resources have been cleaned up"
    else
        log "Resources left intact. You can clean them up manually later."
        echo "To clean up manually, run the following commands:"
        echo "aws batch update-job-queue --job-queue $JOB_QUEUE_NAME --state DISABLED"
        echo "aws batch delete-job-queue --job-queue $JOB_QUEUE_NAME"
        echo "aws batch update-compute-environment --compute-environment $COMPUTE_ENV_NAME --state DISABLED"
        echo "aws batch delete-compute-environment --compute-environment $COMPUTE_ENV_NAME"
        echo "aws iam detach-role-policy --role-name $ROLE_NAME --policy-arn arn:aws:iam::aws:policy/service-role/AmazonECSTaskExecutionRolePolicy"
        echo "aws iam delete-role --role-name $ROLE_NAME"
    fi
}

# Run main function
main "$@"
```
+ Weitere API-Informationen finden Sie in den folgenden Themen der *AWS CLI -Befehlsreferenz*.
  + [CreateComputeEnvironment](https://docs.aws.amazon.com/goto/aws-cli/batch-2016-08-10/CreateComputeEnvironment)
  + [CreateJobQueue](https://docs.aws.amazon.com/goto/aws-cli/batch-2016-08-10/CreateJobQueue)
  + [DeleteComputeEnvironment](https://docs.aws.amazon.com/goto/aws-cli/batch-2016-08-10/DeleteComputeEnvironment)
  + [DeleteJobQueue](https://docs.aws.amazon.com/goto/aws-cli/batch-2016-08-10/DeleteJobQueue)
  + [DescribeComputeEnvironments](https://docs.aws.amazon.com/goto/aws-cli/batch-2016-08-10/DescribeComputeEnvironments)
  + [DescribeJobQueues](https://docs.aws.amazon.com/goto/aws-cli/batch-2016-08-10/DescribeJobQueues)
  + [DescribeJobs](https://docs.aws.amazon.com/goto/aws-cli/batch-2016-08-10/DescribeJobs)
  + [RegisterJobDefinition](https://docs.aws.amazon.com/goto/aws-cli/batch-2016-08-10/RegisterJobDefinition)
  + [SubmitJob](https://docs.aws.amazon.com/goto/aws-cli/batch-2016-08-10/SubmitJob)
  + [UpdateComputeEnvironment](https://docs.aws.amazon.com/goto/aws-cli/batch-2016-08-10/UpdateComputeEnvironment)
  + [UpdateJobQueue](https://docs.aws.amazon.com/goto/aws-cli/batch-2016-08-10/UpdateJobQueue)

------