AWS Cloud MapAWS CLI 搭配 Bash 指令碼使用的範例

下列程式碼範例說明如何搭配 AWS Command Line Interface Bash 指令碼使用來執行動作和實作常見案例 AWS Cloud Map。

案例是向您展示如何呼叫服務中的多個函數或與其他 AWS 服務組合來完成特定任務的程式碼範例。

每個範例都包含完整原始程式碼的連結，您可以在其中找到如何在內容中設定和執行程式碼的指示。

主題

案例

案例

以下程式碼範例顯示做法：

為 API 型服務探索建立 HTTP 命名空間
建立 DynamoDB 資料表，並將其註冊為具有自訂屬性的資料服務
建立 Lambda 函數以讀取和寫入資料
使用動作型探索的自訂屬性，將 Lambda 函數註冊為服務執行個體
建置使用自訂屬性探索服務的用戶端應用程式
清除所有資源，包括 Lambda 函數、DynamoDB 資料表和 Cloud Map 服務

AWS CLI 使用 Bash 指令碼

注意

GitHub 上提供更多範例。尋找完整的範例，並了解如何在範例開發人員教學課程儲存庫中設定和執行。


#!/bin/bash

# AWS Cloud Map Tutorial Script
# This script demonstrates how to use AWS Cloud Map for service discovery with custom attributes

# Set up logging
LOG_FILE="cloudmap-tutorial.log"
echo "AWS Cloud Map Tutorial Script" > $LOG_FILE
echo "Started at $(date)" >> $LOG_FILE

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

# Function to log commands and their output
log_cmd() {
  echo "$ $1" | tee -a $LOG_FILE
  eval "$1" | tee -a $LOG_FILE
}

# Function to handle errors
handle_error() {
  local LINE=$1
  echo "An error occurred at line $LINE" | tee -a $LOG_FILE
  echo "Resources created so far:" | tee -a $LOG_FILE
  for resource in "${CREATED_RESOURCES[@]}"; do
    echo "- $resource" | tee -a $LOG_FILE
  done
  echo "Attempting to clean up resources..." | tee -a $LOG_FILE
  cleanup
  exit 1
}

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

# Helper function to wait for Cloud Map operations to complete
wait_for_operation() {
  local OPERATION_ID=$1
  local TIMEOUT=300  # 5 minutes timeout
  local START_TIME=$(date +%s)
  
  while true; do
    local STATUS=$(aws servicediscovery get-operation --operation-id $OPERATION_ID --query 'Operation.Status' --output text)
    
    if [ "$STATUS" == "SUCCESS" ]; then
      echo "Operation completed successfully" | tee -a $LOG_FILE
      break
    elif [ "$STATUS" == "FAIL" ]; then
      echo "Operation failed" | tee -a $LOG_FILE
      return 1
    fi
    
    local CURRENT_TIME=$(date +%s)
    if [ $((CURRENT_TIME - START_TIME)) -gt $TIMEOUT ]; then
      echo "Operation timed out" | tee -a $LOG_FILE
      return 1
    fi
    
    sleep 5
  done
  
  return 0
}

# Function to clean up resources
cleanup() {
  echo "Cleaning up resources..." | tee -a $LOG_FILE
  
  # Reverse the order of created resources for proper deletion
  for ((i=${#CREATED_RESOURCES[@]}-1; i>=0; i--)); do
    resource="${CREATED_RESOURCES[$i]}"
    echo "Deleting $resource..." | tee -a $LOG_FILE
    
    if [[ $resource == "instance:"* ]]; then
      # Extract service ID and instance ID
      SERVICE_ID=$(echo $resource | cut -d':' -f2)
      INSTANCE_ID=$(echo $resource | cut -d':' -f3)
      
      # Check if instance exists before trying to deregister
      INSTANCE_EXISTS=$(aws servicediscovery list-instances --service-id $SERVICE_ID --query "Instances[?Id=='$INSTANCE_ID'].Id" --output text 2>/dev/null || echo "")
      if [[ -n "$INSTANCE_EXISTS" ]]; then
        OPERATION_ID=$(aws servicediscovery deregister-instance --service-id $SERVICE_ID --instance-id $INSTANCE_ID --query 'OperationId' --output text)
        
        # Wait for deregistration to complete
        echo "Waiting for instance deregistration to complete..." | tee -a $LOG_FILE
        wait_for_operation $OPERATION_ID
      else
        echo "Instance $INSTANCE_ID already deregistered" | tee -a $LOG_FILE
      fi
    elif [[ $resource == "lambda:"* ]]; then
      # Extract function name
      FUNCTION_NAME=$(echo $resource | cut -d':' -f2)
      aws lambda delete-function --function-name $FUNCTION_NAME
    elif [[ $resource == "role:"* ]]; then
      # Extract role name
      ROLE_NAME=$(echo $resource | cut -d':' -f2)
      
      # Detach all policies first
      for POLICY_ARN in $(aws iam list-attached-role-policies --role-name $ROLE_NAME --query 'AttachedPolicies[*].PolicyArn' --output text); do
        aws iam detach-role-policy --role-name $ROLE_NAME --policy-arn $POLICY_ARN
      done
      
      # Delete the role
      aws iam delete-role --role-name $ROLE_NAME
    elif [[ $resource == "dynamodb:"* ]]; then
      # Extract table name
      TABLE_NAME=$(echo $resource | cut -d':' -f2)
      aws dynamodb delete-table --table-name $TABLE_NAME
      
      # Wait for table deletion to complete
      echo "Waiting for DynamoDB table deletion to complete..." | tee -a $LOG_FILE
      aws dynamodb wait table-not-exists --table-name $TABLE_NAME
    fi
  done
  
  # Handle services separately to ensure all instances are deregistered first
  for ((i=${#CREATED_RESOURCES[@]}-1; i>=0; i--)); do
    resource="${CREATED_RESOURCES[$i]}"
    if [[ $resource == "service:"* ]]; then
      # Extract service ID
      SERVICE_ID=$(echo $resource | cut -d':' -f2)
      echo "Deleting service $SERVICE_ID..." | tee -a $LOG_FILE
      
      # Make sure all instances are deregistered
      INSTANCES=$(aws servicediscovery list-instances --service-id $SERVICE_ID --query 'Instances[*].Id' --output text)
      if [[ -n "$INSTANCES" ]]; then
        echo "Service still has instances. Waiting before deletion..." | tee -a $LOG_FILE
        sleep 10
      fi
      
      # Try to delete the service
      aws servicediscovery delete-service --id $SERVICE_ID
      sleep 5
    fi
  done
  
  # Handle namespaces last to ensure all services are deleted first
  for ((i=${#CREATED_RESOURCES[@]}-1; i>=0; i--)); do
    resource="${CREATED_RESOURCES[$i]}"
    if [[ $resource == "namespace:"* ]]; then
      # Extract namespace ID
      NAMESPACE_ID=$(echo $resource | cut -d':' -f2)
      echo "Deleting namespace $NAMESPACE_ID..." | tee -a $LOG_FILE
      
      # Check if namespace still has services
      SERVICES=$(aws servicediscovery list-services --filters "Name=NAMESPACE_ID,Values=$NAMESPACE_ID,Condition=EQ" --query 'Services[*].Id' --output text)
      if [[ -n "$SERVICES" ]]; then
        echo "Namespace still has services. Deleting them first..." | tee -a $LOG_FILE
        for SERVICE_ID in $SERVICES; do
          echo "Deleting service $SERVICE_ID..." | tee -a $LOG_FILE
          aws servicediscovery delete-service --id $SERVICE_ID
        done
        sleep 5
      fi
      
      # Try to delete the namespace
      OPERATION_ID=$(aws servicediscovery delete-namespace --id $NAMESPACE_ID --query 'OperationId' --output text 2>/dev/null || echo "")
      if [[ -n "$OPERATION_ID" ]]; then
        echo "Waiting for namespace deletion to complete..." | tee -a $LOG_FILE
        wait_for_operation $OPERATION_ID
      else
        echo "Failed to delete namespace or namespace already deleted" | tee -a $LOG_FILE
      fi
    fi
  done
  
  echo "Cleanup complete" | tee -a $LOG_FILE
}

# Step 1: Create an AWS Cloud Map namespace
echo "Step 1: Creating AWS Cloud Map namespace..." | tee -a $LOG_FILE

# Check if namespace already exists
NAMESPACE_ID=$(aws servicediscovery list-namespaces --query "Namespaces[?Name=='cloudmap-tutorial'].Id" --output text)

if [[ -z "$NAMESPACE_ID" || "$NAMESPACE_ID" == "None" ]]; then
  log_cmd "aws servicediscovery create-http-namespace --name cloudmap-tutorial --creator-request-id namespace-request"
  OPERATION_ID=$(aws servicediscovery create-http-namespace --name cloudmap-tutorial --creator-request-id namespace-request --query 'OperationId' --output text)

  # Wait for namespace creation to complete
  echo "Waiting for namespace creation to complete..." | tee -a $LOG_FILE
  wait_for_operation $OPERATION_ID

  # Get the namespace ID
  NAMESPACE_ID=$(aws servicediscovery list-namespaces --query "Namespaces[?Name=='cloudmap-tutorial'].Id" --output text)
  echo "Namespace created with ID: $NAMESPACE_ID" | tee -a $LOG_FILE
else
  echo "Namespace cloudmap-tutorial already exists with ID: $NAMESPACE_ID" | tee -a $LOG_FILE
fi

CREATED_RESOURCES+=("namespace:$NAMESPACE_ID")

# Step 2: Create a DynamoDB table
echo "Step 2: Creating DynamoDB table..." | tee -a $LOG_FILE

# Check if table already exists
TABLE_EXISTS=$(aws dynamodb describe-table --table-name cloudmap 2>&1 || echo "NOT_EXISTS")

if [[ $TABLE_EXISTS == *"ResourceNotFoundException"* || $TABLE_EXISTS == "NOT_EXISTS" ]]; then
  log_cmd "aws dynamodb create-table --table-name cloudmap --attribute-definitions AttributeName=id,AttributeType=S --key-schema AttributeName=id,KeyType=HASH --billing-mode PAY_PER_REQUEST"
  
  # Wait for DynamoDB table to become active
  echo "Waiting for DynamoDB table to become active..." | tee -a $LOG_FILE
  aws dynamodb wait table-exists --table-name cloudmap
else
  echo "DynamoDB table cloudmap already exists" | tee -a $LOG_FILE
fi

CREATED_RESOURCES+=("dynamodb:cloudmap")

# Step 3: Create an AWS Cloud Map data service
echo "Step 3: Creating AWS Cloud Map data service..." | tee -a $LOG_FILE

# Get all services in the namespace
echo "Listing all services in namespace $NAMESPACE_ID..." | tee -a $LOG_FILE
SERVICES=$(aws servicediscovery list-services --filters "Name=NAMESPACE_ID,Values=$NAMESPACE_ID,Condition=EQ" --query 'Services[*].[Id,Name]' --output text)
echo "Services found: $SERVICES" | tee -a $LOG_FILE

# Check if data service already exists
DATA_SERVICE_ID=""
while read -r id name || [[ -n "$id" ]]; do
  echo "Checking service: ID=$id, Name=$name" | tee -a $LOG_FILE
  if [[ "$name" == "data-service" ]]; then
    DATA_SERVICE_ID="$id"
    break
  fi
done <<< "$SERVICES"

if [[ -z "$DATA_SERVICE_ID" ]]; then
  echo "Data service does not exist, creating it..." | tee -a $LOG_FILE
  # Create the service and capture the ID directly
  echo "$ aws servicediscovery create-service --name data-service --namespace-id $NAMESPACE_ID --creator-request-id data-service-request" | tee -a $LOG_FILE
  CREATE_OUTPUT=$(aws servicediscovery create-service --name data-service --namespace-id $NAMESPACE_ID --creator-request-id data-service-request)
  echo "$CREATE_OUTPUT" | tee -a $LOG_FILE
  
  # Extract the service ID using AWS CLI query
  DATA_SERVICE_ID=$(aws servicediscovery list-services --filters "Name=NAMESPACE_ID,Values=$NAMESPACE_ID,Condition=EQ" --query "Services[?Name=='data-service'].Id" --output text)
  echo "Data service created with ID: $DATA_SERVICE_ID" | tee -a $LOG_FILE
else
  echo "Data service already exists with ID: $DATA_SERVICE_ID" | tee -a $LOG_FILE
fi

CREATED_RESOURCES+=("service:$DATA_SERVICE_ID")

# Register DynamoDB table as a service instance
echo "Registering DynamoDB table as a service instance..." | tee -a $LOG_FILE

# Check if instance already exists
INSTANCE_EXISTS=$(aws servicediscovery list-instances --service-id $DATA_SERVICE_ID --query "Instances[?Id=='data-instance'].Id" --output text)

if [[ -z "$INSTANCE_EXISTS" ]]; then
  log_cmd "aws servicediscovery register-instance --service-id $DATA_SERVICE_ID --instance-id data-instance --attributes tablename=cloudmap,region=$(aws configure get region)"
  OPERATION_ID=$(aws servicediscovery register-instance --service-id $DATA_SERVICE_ID --instance-id data-instance --attributes tablename=cloudmap,region=$(aws configure get region) --query 'OperationId' --output text)

  # Wait for instance registration to complete
  echo "Waiting for instance registration to complete..." | tee -a $LOG_FILE
  wait_for_operation $OPERATION_ID
else
  echo "Instance data-instance already exists" | tee -a $LOG_FILE
fi

CREATED_RESOURCES+=("instance:$DATA_SERVICE_ID:data-instance")

# Step 4: Create an IAM role for Lambda
echo "Step 4: Creating IAM role for Lambda..." | tee -a $LOG_FILE

# Create a trust policy for Lambda
cat > lambda-trust-policy.json << EOF
{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Effect": "Allow",
      "Principal": {
        "Service": "lambda.amazonaws.com"
      },
      "Action": "sts:AssumeRole"
    }
  ]
}
EOF

# Check if role already exists
echo "Checking if IAM role already exists..." | tee -a $LOG_FILE
ROLE_EXISTS=$(aws iam get-role --role-name cloudmap-tutorial-role 2>&1 || echo "NOT_EXISTS")

if [[ $ROLE_EXISTS == *"NoSuchEntity"* || $ROLE_EXISTS == "NOT_EXISTS" ]]; then
    log_cmd "aws iam create-role --role-name cloudmap-tutorial-role --assume-role-policy-document file://lambda-trust-policy.json"
else
    echo "Role cloudmap-tutorial-role already exists, using existing role" | tee -a $LOG_FILE
fi

# FIXED: Create a custom policy with least privilege instead of using PowerUserAccess
cat > cloudmap-policy.json << EOF
{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Effect": "Allow",
      "Action": [
        "logs:CreateLogGroup",
        "logs:CreateLogStream",
        "logs:PutLogEvents"
      ],
      "Resource": "arn:aws:logs:*:*:*"
    },
    {
      "Effect": "Allow",
      "Action": [
        "dynamodb:PutItem",
        "dynamodb:GetItem",
        "dynamodb:Scan"
      ],
      "Resource": "arn:aws:dynamodb:*:*:table/cloudmap"
    },
    {
      "Effect": "Allow",
      "Action": [
        "servicediscovery:DiscoverInstances"
      ],
      "Resource": "*"
    }
  ]
}
EOF

# Check if policy already exists
POLICY_ARN=$(aws iam list-policies --query "Policies[?PolicyName=='CloudMapTutorialPolicy'].Arn" --output text)

if [[ -z "$POLICY_ARN" ]]; then
  echo "Creating CloudMapTutorialPolicy..." | tee -a $LOG_FILE
  echo "$ aws iam create-policy --policy-name CloudMapTutorialPolicy --policy-document file://cloudmap-policy.json" | tee -a $LOG_FILE
  CREATE_OUTPUT=$(aws iam create-policy --policy-name CloudMapTutorialPolicy --policy-document file://cloudmap-policy.json)
  echo "$CREATE_OUTPUT" | tee -a $LOG_FILE
  POLICY_ARN=$(aws iam list-policies --query "Policies[?PolicyName=='CloudMapTutorialPolicy'].Arn" --output text)
else
  echo "Policy CloudMapTutorialPolicy already exists with ARN: $POLICY_ARN" | tee -a $LOG_FILE
fi

echo "$ aws iam attach-role-policy --role-name cloudmap-tutorial-role --policy-arn $POLICY_ARN" | tee -a $LOG_FILE
aws iam attach-role-policy --role-name cloudmap-tutorial-role --policy-arn $POLICY_ARN | tee -a $LOG_FILE

echo "$ aws iam attach-role-policy --role-name cloudmap-tutorial-role --policy-arn arn:aws:iam::aws:policy/service-role/AWSLambdaBasicExecutionRole" | tee -a $LOG_FILE
aws iam attach-role-policy --role-name cloudmap-tutorial-role --policy-arn arn:aws:iam::aws:policy/service-role/AWSLambdaBasicExecutionRole | tee -a $LOG_FILE

# Wait for role to propagate
echo "Waiting for IAM role to propagate..." | tee -a $LOG_FILE
sleep 10

ROLE_ARN=$(aws iam get-role --role-name cloudmap-tutorial-role --query 'Role.Arn' --output text)
CREATED_RESOURCES+=("role:cloudmap-tutorial-role")

# Step 5: Create an AWS Cloud Map app service
echo "Step 5: Creating AWS Cloud Map app service..." | tee -a $LOG_FILE

# Get all services in the namespace
SERVICES=$(aws servicediscovery list-services --filters "Name=NAMESPACE_ID,Values=$NAMESPACE_ID,Condition=EQ" --query 'Services[*].[Id,Name]' --output text)

# Check if app service already exists
APP_SERVICE_ID=""
while read -r id name || [[ -n "$id" ]]; do
  if [[ "$name" == "app-service" ]]; then
    APP_SERVICE_ID="$id"
    break
  fi
done <<< "$SERVICES"

if [[ -z "$APP_SERVICE_ID" ]]; then
  echo "App service does not exist, creating it..." | tee -a $LOG_FILE
  # Create the service and capture the ID directly
  echo "$ aws servicediscovery create-service --name app-service --namespace-id $NAMESPACE_ID --creator-request-id app-service-request" | tee -a $LOG_FILE
  CREATE_OUTPUT=$(aws servicediscovery create-service --name app-service --namespace-id $NAMESPACE_ID --creator-request-id app-service-request)
  echo "$CREATE_OUTPUT" | tee -a $LOG_FILE
  
  # Extract the service ID using AWS CLI query
  APP_SERVICE_ID=$(aws servicediscovery list-services --filters "Name=NAMESPACE_ID,Values=$NAMESPACE_ID,Condition=EQ" --query "Services[?Name=='app-service'].Id" --output text)
  echo "App service created with ID: $APP_SERVICE_ID" | tee -a $LOG_FILE
else
  echo "App service already exists with ID: $APP_SERVICE_ID" | tee -a $LOG_FILE
fi

CREATED_RESOURCES+=("service:$APP_SERVICE_ID")

# Step 6: Create a Lambda function to write data
echo "Step 6: Creating Lambda function to write data..." | tee -a $LOG_FILE

# Create Lambda function code
cat > writefunction.py << EOF
import boto3
import json
import random

def lambda_handler(event, context):
    # Use AWS Cloud Map to discover the DynamoDB table
    serviceclient = boto3.client('servicediscovery')
    
    # Discover the data service instance
    response = serviceclient.discover_instances(
        NamespaceName='cloudmap-tutorial',
        ServiceName='data-service'
    )
    
    # Extract table name and region from the instance attributes
    tablename = response['Instances'][0]['Attributes']['tablename']
    region = response['Instances'][0]['Attributes']['region']
    
    # Create DynamoDB client in the specified region
    dynamodb = boto3.resource('dynamodb', region_name=region)
    table = dynamodb.Table(tablename)
    
    # Write data to the table
    table.put_item(
        Item={
            'id': str(random.randint(1,100)),
            'todo': event
        }
    )
    
    return {
        'statusCode': 200,
        'body': json.dumps('Data written successfully!')
    }
EOF

# Zip the function code
log_cmd "zip writefunction.zip writefunction.py"

# Create the Lambda function
FUNCTION_EXISTS=$(aws lambda list-functions --query "Functions[?FunctionName=='writefunction'].FunctionName" --output text)
if [[ -z "$FUNCTION_EXISTS" ]]; then
  log_cmd "aws lambda create-function --function-name writefunction --runtime python3.12 --role $ROLE_ARN --handler writefunction.lambda_handler --zip-file fileb://writefunction.zip --architectures x86_64"

  # Wait for the Lambda function to be active before updating
  echo "Waiting for Lambda function to become active..." | tee -a $LOG_FILE
  function_state="Pending"
  while [ "$function_state" == "Pending" ]; do
      sleep 5
      function_state=$(aws lambda get-function --function-name writefunction --query 'Configuration.State' --output text)
      echo "Current function state: $function_state" | tee -a $LOG_FILE
  done

  # Update the function timeout
  log_cmd "aws lambda update-function-configuration --function-name writefunction --timeout 5"
else
  echo "Lambda function writefunction already exists" | tee -a $LOG_FILE
fi
CREATED_RESOURCES+=("lambda:writefunction")

# Step 7: Register the Lambda write function as an AWS Cloud Map service instance
echo "Step 7: Registering Lambda write function as a service instance..." | tee -a $LOG_FILE

# Check if instance already exists
INSTANCE_EXISTS=$(aws servicediscovery list-instances --service-id $APP_SERVICE_ID --query "Instances[?Id=='write-instance'].Id" --output text)

if [[ -z "$INSTANCE_EXISTS" ]]; then
  log_cmd "aws servicediscovery register-instance --service-id $APP_SERVICE_ID --instance-id write-instance --attributes action=write,functionname=writefunction"
  OPERATION_ID=$(aws servicediscovery register-instance --service-id $APP_SERVICE_ID --instance-id write-instance --attributes action=write,functionname=writefunction --query 'OperationId' --output text)

  # Wait for instance registration to complete
  echo "Waiting for write instance registration to complete..." | tee -a $LOG_FILE
  wait_for_operation $OPERATION_ID
else
  echo "Instance write-instance already exists" | tee -a $LOG_FILE
fi

CREATED_RESOURCES+=("instance:$APP_SERVICE_ID:write-instance")

# Step 8: Create a Lambda function to read data
echo "Step 8: Creating Lambda function to read data..." | tee -a $LOG_FILE

# Create Lambda function code
cat > readfunction.py << EOF
import boto3
import json

def lambda_handler(event, context):
    # Use AWS Cloud Map to discover the DynamoDB table
    serviceclient = boto3.client('servicediscovery')
    
    # Discover the data service instance
    response = serviceclient.discover_instances(
        NamespaceName='cloudmap-tutorial',
        ServiceName='data-service'
    )
    
    # Extract table name and region from the instance attributes
    tablename = response['Instances'][0]['Attributes']['tablename']
    region = response['Instances'][0]['Attributes']['region']
    
    # Create DynamoDB client in the specified region
    dynamodb = boto3.resource('dynamodb', region_name=region)
    table = dynamodb.Table(tablename)
    
    # Read data from the table
    response = table.scan()
    
    return {
        'statusCode': 200,
        'body': json.dumps(response['Items'])
    }
EOF

# Zip the function code
log_cmd "zip readfunction.zip readfunction.py"

# Create the Lambda function
FUNCTION_EXISTS=$(aws lambda list-functions --query "Functions[?FunctionName=='readfunction'].FunctionName" --output text)
if [[ -z "$FUNCTION_EXISTS" ]]; then
  log_cmd "aws lambda create-function --function-name readfunction --runtime python3.12 --role $ROLE_ARN --handler readfunction.lambda_handler --zip-file fileb://readfunction.zip --architectures x86_64"

  # Wait for the Lambda function to be active before updating
  echo "Waiting for Lambda function to become active..." | tee -a $LOG_FILE
  function_state="Pending"
  while [ "$function_state" == "Pending" ]; do
      sleep 5
      function_state=$(aws lambda get-function --function-name readfunction --query 'Configuration.State' --output text)
      echo "Current function state: $function_state" | tee -a $LOG_FILE
  done

  # Update the function timeout
  log_cmd "aws lambda update-function-configuration --function-name readfunction --timeout 5"
else
  echo "Lambda function readfunction already exists" | tee -a $LOG_FILE
fi
CREATED_RESOURCES+=("lambda:readfunction")

# Step 9: Register the Lambda read function as an AWS Cloud Map service instance
echo "Step 9: Registering Lambda read function as a service instance..." | tee -a $LOG_FILE

# Check if instance already exists
INSTANCE_EXISTS=$(aws servicediscovery list-instances --service-id $APP_SERVICE_ID --query "Instances[?Id=='read-instance'].Id" --output text)

if [[ -z "$INSTANCE_EXISTS" ]]; then
  log_cmd "aws servicediscovery register-instance --service-id $APP_SERVICE_ID --instance-id read-instance --attributes action=read,functionname=readfunction"
  OPERATION_ID=$(aws servicediscovery register-instance --service-id $APP_SERVICE_ID --instance-id read-instance --attributes action=read,functionname=readfunction --query 'OperationId' --output text)

  # Wait for read instance registration to complete
  echo "Waiting for read instance registration to complete..." | tee -a $LOG_FILE
  wait_for_operation $OPERATION_ID
else
  echo "Instance read-instance already exists" | tee -a $LOG_FILE
fi

CREATED_RESOURCES+=("instance:$APP_SERVICE_ID:read-instance")

# Step 10: Create Python clients to interact with the services
echo "Step 10: Creating Python clients..." | tee -a $LOG_FILE

cat > writeclient.py << EOF
import boto3

serviceclient = boto3.client('servicediscovery')

response = serviceclient.discover_instances(NamespaceName='cloudmap-tutorial', ServiceName='app-service', QueryParameters={ 'action': 'write' })

functionname = response["Instances"][0]["Attributes"]["functionname"]

lambdaclient = boto3.client('lambda')

resp = lambdaclient.invoke(FunctionName=functionname, Payload='"This is a test data"')

print(resp["Payload"].read())
EOF

cat > readclient.py << EOF
import boto3

serviceclient = boto3.client('servicediscovery')

response = serviceclient.discover_instances(NamespaceName='cloudmap-tutorial', ServiceName='app-service', QueryParameters={ 'action': 'read' })

functionname = response["Instances"][0]["Attributes"]["functionname"]

lambdaclient = boto3.client('lambda')

resp = lambdaclient.invoke(FunctionName=functionname, InvocationType='RequestResponse')

print(resp["Payload"].read())
EOF

echo "Running write client..." | tee -a $LOG_FILE
log_cmd "python3 writeclient.py"

echo "Running read client..." | tee -a $LOG_FILE
log_cmd "python3 readclient.py"

# Step 11: Clean up resources
echo "Resources created:" | tee -a $LOG_FILE
for resource in "${CREATED_RESOURCES[@]}"; do
  echo "- $resource" | tee -a $LOG_FILE
done

echo "" | tee -a $LOG_FILE
echo "==========================================" | tee -a $LOG_FILE
echo "CLEANUP CONFIRMATION" | tee -a $LOG_FILE
echo "==========================================" | tee -a $LOG_FILE
echo "Do you want to clean up all created resources? (y/n): " | tee -a $LOG_FILE
read -r CLEANUP_CONFIRM
if [[ $CLEANUP_CONFIRM == "y" || $CLEANUP_CONFIRM == "Y" ]]; then
  cleanup
else
  echo "Resources were not cleaned up. You can manually clean them up later." | tee -a $LOG_FILE
fi

echo "Script completed at $(date)" | tee -a $LOG_FILE

如需 API 詳細資訊，請參閱《AWS CLI 命令參考》中的下列主題。

以下程式碼範例顯示做法：

使用 Route 53 託管區域整合建立公有 DNS 命名空間
透過 DNS 查詢和 API 呼叫建立可探索的服務
使用不同的探索組態註冊服務執行個體
同時使用 DNS 查詢和 Cloud Map API 探索服務
使用 dig 命令和 API 呼叫驗證服務探索
依適當順序清理資源（執行個體、服務、命名空間）

AWS CLI 使用 Bash 指令碼

注意

GitHub 上提供更多範例。尋找完整的範例，並了解如何在範例開發人員教學課程儲存庫中設定和執行。


#!/bin/bash

# AWS Cloud Map Private Namespace Tutorial Script
# This script demonstrates how to use AWS Cloud Map for service discovery
# with DNS queries and API calls

# Exit on error
set -e

# Configuration
REGION="us-east-2"
NAMESPACE_NAME="cloudmap-tutorial.com"
LOG_FILE="cloudmap-tutorial.log"
CREATOR_REQUEST_ID=$(date +%s)

# Function to log messages
log() {
    local message="$1"
    echo "$(date '+%Y-%m-%d %H:%M:%S') - $message" | tee -a "$LOG_FILE"
}

# Function to check operation status
check_operation() {
    local operation_id="$1"
    local status=""
    
    log "Checking operation status for $operation_id..."
    
    while [[ "$status" != "SUCCESS" ]]; do
        sleep 5
        status=$(aws servicediscovery get-operation \
            --operation-id "$operation_id" \
            --region "$REGION" \
            --query "Operation.Status" \
            --output text)
        
        log "Operation status: $status"
        
        if [[ "$status" == "FAIL" ]]; then
            log "Operation failed. Exiting."
            exit 1
        fi
    done
    
    log "Operation completed successfully."
}

# Function to clean up resources
cleanup() {
    log "Starting cleanup process..."
    
    if [[ -n "$FIRST_INSTANCE_ID" ]]; then
        log "Deregistering first service instance..."
        aws servicediscovery deregister-instance \
            --service-id "$PUBLIC_SERVICE_ID" \
            --instance-id "$FIRST_INSTANCE_ID" \
            --region "$REGION" || log "Failed to deregister first instance"
    fi
    
    if [[ -n "$SECOND_INSTANCE_ID" ]]; then
        log "Deregistering second service instance..."
        aws servicediscovery deregister-instance \
            --service-id "$BACKEND_SERVICE_ID" \
            --instance-id "$SECOND_INSTANCE_ID" \
            --region "$REGION" || log "Failed to deregister second instance"
    fi
    
    if [[ -n "$PUBLIC_SERVICE_ID" ]]; then
        log "Deleting public service..."
        aws servicediscovery delete-service \
            --id "$PUBLIC_SERVICE_ID" \
            --region "$REGION" || log "Failed to delete public service"
    fi
    
    if [[ -n "$BACKEND_SERVICE_ID" ]]; then
        log "Deleting backend service..."
        aws servicediscovery delete-service \
            --id "$BACKEND_SERVICE_ID" \
            --region "$REGION" || log "Failed to delete backend service"
    fi
    
    if [[ -n "$NAMESPACE_ID" ]]; then
        log "Deleting namespace..."
        aws servicediscovery delete-namespace \
            --id "$NAMESPACE_ID" \
            --region "$REGION" || log "Failed to delete namespace"
    fi
    
    log "Cleanup completed."
}

# Set up trap for cleanup on script exit
trap cleanup EXIT INT TERM

# Initialize log file
> "$LOG_FILE"
log "Starting AWS Cloud Map tutorial script"

# Step 1: Create an AWS Cloud Map namespace
log "Creating AWS Cloud Map namespace: $NAMESPACE_NAME"
OPERATION_RESULT=$(aws servicediscovery create-public-dns-namespace \
    --name "$NAMESPACE_NAME" \
    --creator-request-id "cloudmap-tutorial-$CREATOR_REQUEST_ID" \
    --region "$REGION")

OPERATION_ID=$(echo "$OPERATION_RESULT" | jq -r '.OperationId')
log "Namespace creation initiated. Operation ID: $OPERATION_ID"

# Check operation status
check_operation "$OPERATION_ID"

# Get the namespace ID
log "Getting namespace ID..."
NAMESPACE_ID=$(aws servicediscovery list-namespaces \
    --region "$REGION" \
    --query "Namespaces[?Name=='$NAMESPACE_NAME'].Id" \
    --output text)

log "Namespace ID: $NAMESPACE_ID"

# Get the hosted zone ID
log "Getting Route 53 hosted zone ID..."
HOSTED_ZONE_ID=$(aws route53 list-hosted-zones-by-name \
    --dns-name "$NAMESPACE_NAME" \
    --query "HostedZones[0].Id" \
    --output text | sed 's|/hostedzone/||')

log "Hosted Zone ID: $HOSTED_ZONE_ID"

# Step 2: Create the AWS Cloud Map services
log "Creating public service..."
PUBLIC_SERVICE_RESULT=$(aws servicediscovery create-service \
    --name "public-service" \
    --namespace-id "$NAMESPACE_ID" \
    --dns-config "RoutingPolicy=MULTIVALUE,DnsRecords=[{Type=A,TTL=300}]" \
    --region "$REGION")

PUBLIC_SERVICE_ID=$(echo "$PUBLIC_SERVICE_RESULT" | jq -r '.Service.Id')
log "Public service created. Service ID: $PUBLIC_SERVICE_ID"

log "Creating backend service..."
BACKEND_SERVICE_RESULT=$(aws servicediscovery create-service \
    --name "backend-service" \
    --namespace-id "$NAMESPACE_ID" \
    --type "HTTP" \
    --region "$REGION")

BACKEND_SERVICE_ID=$(echo "$BACKEND_SERVICE_RESULT" | jq -r '.Service.Id')
log "Backend service created. Service ID: $BACKEND_SERVICE_ID"

# Step 3: Register the AWS Cloud Map service instances
log "Registering first service instance..."
FIRST_INSTANCE_RESULT=$(aws servicediscovery register-instance \
    --service-id "$PUBLIC_SERVICE_ID" \
    --instance-id "first" \
    --attributes "AWS_INSTANCE_IPV4=192.168.2.1" \
    --region "$REGION")

FIRST_INSTANCE_ID="first"
FIRST_OPERATION_ID=$(echo "$FIRST_INSTANCE_RESULT" | jq -r '.OperationId')
log "First instance registration initiated. Operation ID: $FIRST_OPERATION_ID"

# Check operation status
check_operation "$FIRST_OPERATION_ID"

log "Registering second service instance..."
SECOND_INSTANCE_RESULT=$(aws servicediscovery register-instance \
    --service-id "$BACKEND_SERVICE_ID" \
    --instance-id "second" \
    --attributes "service-name=backend" \
    --region "$REGION")

SECOND_INSTANCE_ID="second"
SECOND_OPERATION_ID=$(echo "$SECOND_INSTANCE_RESULT" | jq -r '.OperationId')
log "Second instance registration initiated. Operation ID: $SECOND_OPERATION_ID"

# Check operation status
check_operation "$SECOND_OPERATION_ID"

# Step 4: Discover the AWS Cloud Map service instances
log "Getting Route 53 name servers..."
NAME_SERVERS=$(aws route53 get-hosted-zone \
    --id "$HOSTED_ZONE_ID" \
    --query "DelegationSet.NameServers[0]" \
    --output text)

log "Name server: $NAME_SERVERS"

log "Using dig to query DNS records (this will be simulated)..."
log "Command: dig @$NAME_SERVERS public-service.$NAMESPACE_NAME"
log "Expected output would show: public-service.$NAMESPACE_NAME. 300 IN A 192.168.2.1"

log "Using AWS CLI to discover backend service instances..."
DISCOVER_RESULT=$(aws servicediscovery discover-instances \
    --namespace-name "$NAMESPACE_NAME" \
    --service-name "backend-service" \
    --region "$REGION")

log "Discovery result: $(echo "$DISCOVER_RESULT" | jq -c '.')"

# Display created resources
log "Resources created:"
log "- Namespace: $NAMESPACE_NAME (ID: $NAMESPACE_ID)"
log "- Public Service: public-service (ID: $PUBLIC_SERVICE_ID)"
log "- Backend Service: backend-service (ID: $BACKEND_SERVICE_ID)"
log "- Service Instance: first (Service: public-service)"
log "- Service Instance: second (Service: backend-service)"

# Ask user if they want to clean up resources
read -p "Do you want to clean up all created resources? (y/n): " CLEANUP_RESPONSE

if [[ "$CLEANUP_RESPONSE" == "y" || "$CLEANUP_RESPONSE" == "Y" ]]; then
    log "User confirmed cleanup. Proceeding with resource deletion."
    # Cleanup function will be called automatically on exit
else
    log "User chose not to clean up resources. Exiting without cleanup."
    trap - EXIT
    exit 0
fi

如需 API 詳細資訊，請參閱《AWS CLI 命令參考》中的下列主題。

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AWS Cloud MapAWS CLI 搭配 Bash 指令碼使用的範例