Lambda com acionadores do SQS/SNS
Configure funções do Lambda para serem acionadas por filas do SQS e tópicos do SNS, permitindo fluxos de trabalho avançados orientados por eventos.
Lambda com acionadores do SQS/SNS é uma aula grátis de Serverless Backend with AWS Lambda & API Gateway no CoddyKit. Esta é a aula 3 de 4. Você pode ler a aula completa abaixo gratuitamente — depois pratica ao vivo no navegador com um editor de código integrado e um tutor de IA 24/7. Faz parte do caminho de aprendizado de Serverless Backend with AWS Lambda & API Gateway, e seu progresso é sincronizado entre a web e o app CoddyKit. O curso de Serverless Backend with AWS Lambda & API Gateway inclui 4 aulas no total.
Partes desta aula ainda não foram traduzidas e aparecem em inglês.
Event-Driven Lambda Triggers
Lambda functions are at the heart of serverless, but how do they know when to run? They respond to events!
An event is anything that happens in your AWS environment, like a file upload to S3, a new item in DynamoDB, or in this lesson, a message arriving in SQS or SNS.
Using SQS and SNS to trigger Lambda enables powerful event-driven architectures. This means services communicate through events, making systems more flexible and scalable.
SQS Triggers for Lambda
Amazon SQS (Simple Queue Service) is a managed message queue service. When you configure an SQS queue as a Lambda trigger, Lambda polls the queue for messages.
Here's how it works:
- Lambda continuously checks the SQS queue.
- When messages are available, Lambda retrieves a batch of them.
- It then invokes your function for each batch or for individual messages, depending on configuration.
- After successful processing, Lambda deletes the messages from the queue.
Setting Up SQS Trigger
To connect an SQS queue to a Lambda function, you typically do it through the AWS Management Console, AWS CLI, or Infrastructure as Code (like AWS SAM or CloudFormation).
Key configurations include:
- Batch size: How many messages Lambda fetches at once (e.g., 1 to 10).
- Batch window: How long Lambda waits to gather a batch (up to 5 minutes).
- Polling frequency: Lambda manages this automatically.
This setup allows your function to process messages asynchronously, decoupling the message producer from the consumer.
Processing SQS Messages
Your Lambda function receives SQS messages in an event object. This object contains a Records array, where each item is an SQS message.
Let's see a simple Python example that processes messages from an SQS queue. Imagine these messages contain user IDs for processing.
import json
def lambda_handler(event, context):
print("Received SQS event:")
for record in event['Records']:
message_body = record['body']
print(f"Processing message: {message_body}")
# Example: parse JSON body if expected
try:
data = json.loads(message_body)
user_id = data.get('userId')
print(f"Extracted userId: {user_id}")
# Add your business logic here
except json.JSONDecodeError:
print(f"Message body is not valid JSON: {message_body}")
return {
'statusCode': 200,
'body': json.dumps('Messages processed successfully!')
}
# --- For local testing (simulated event) ---
if __name__ == '__main__':
# Simulate an SQS event
simulated_sqs_event = {
"Records": [
{
"messageId": "19dd0b57-b21e-4ac1-bd88-01bbb068cb78",
"receiptHandle": "AQEBwJnKyrgtLvC5...",
"body": '{"userId": "user123", "action": "signup"}',
"attributes": {
"ApproximateReceiveCount": "1",
"SentTimestamp": "1523232000000",
"SenderId": "AIDAIY234234234234234",
"ApproximateFirstReceiveTimestamp": "1523232000001"
},
"messageAttributes": {},
"md5OfBody": "098f6bcd4621d373cade4e832627b4f6",
"eventSource": "aws:sqs",
"eventSourceARN": "arn:aws:sqs:us-east-1:123456789012:my-queue",
"awsRegion": "us-east-1"
},
{
"messageId": "19dd0b57-b21e-4ac1-bd88-01bbb068cb79",
"receiptHandle": "AQEBwJnKyrgtLvC5...",
"body": '{"userId": "user456", "action": "login"}',
"attributes": {
"ApproximateReceiveCount": "1",
"SentTimestamp": "1523232000000",
"SenderId": "AIDAIY234234234234234",
"ApproximateFirstReceiveTimestamp": "1523232000001"
},
"messageAttributes": {},
"md5OfBody": "098f6bcd4621d373cade4e832627b4f6",
"eventSource": "aws:sqs",
"eventSourceARN": "arn:aws:sqs:us-east-1:123456789012:my-queue",
"awsRegion": "us-east-1"
}
]
}
lambda_handler(simulated_sqs_event, None)SQS Event Details
Let's break down the key parts of an SQS event passed to your Lambda function:
event['Records']: A list of SQS messages. Your function will iterate through this.record['body']: The actual message content, usually a JSON string that you'll need to parse.record['messageId']: A unique ID for the message. Useful for logging and idempotency.record['attributes']: Contains metadata likeSentTimestamp.record['eventSource']: Always "aws:sqs" for SQS triggers.
Always assume body is a string and parse it if you expect JSON.
SNS Triggers for Lambda
Amazon SNS (Simple Notification Service) is a fully managed pub/sub messaging service. Unlike SQS, SNS uses a push model to deliver notifications.
When an SNS topic receives a message, it immediately pushes that message to all its subscribed endpoints, which can include Lambda functions.
This is perfect for:
- Fan-out scenarios (one message triggers multiple actions).
- Broadcasting alerts or notifications.
- Decoupling publishers from multiple subscribers.
Setting Up SNS Trigger
Connecting an SNS topic to a Lambda function is straightforward. You subscribe your Lambda function to the SNS topic.
Steps:
- Create an SNS topic.
- Create your Lambda function.
- Add an SNS trigger to your Lambda function, selecting the topic.
- Ensure your Lambda's execution role has permission to be invoked by SNS.
Once configured, any message published to the SNS topic will automatically invoke your Lambda function.
Processing SNS Notifications
When triggered by SNS, your Lambda function receives an event object that contains details about the notification. The most important part is the Message field within the Sns object.
Here's a Python example that logs an SNS notification.
import json
def lambda_handler(event, context):
print("Received SNS event:")
for record in event['Records']:
sns_message = record['Sns']
message_id = sns_message['MessageId']
topic_arn = sns_message['TopicArn']
subject = sns_message.get('Subject', 'No Subject')
message_body = sns_message['Message']
timestamp = sns_message['Timestamp']
print(f"Message ID: {message_id}")
print(f"Topic ARN: {topic_arn}")
print(f"Subject: {subject}")
print(f"Message: {message_body}")
print(f"Timestamp: {timestamp}")
# Add your business logic here, e.g., send an email, update a database
return {
'statusCode': 200,
'body': json.dumps('SNS notification processed!')
}
# --- For local testing (simulated event) ---
if __name__ == '__main__':
# Simulate an SNS event
simulated_sns_event = {
"Records": [
{
"EventSource": "aws:sns",
"EventVersion": "1.0",
"EventSubscriptionArn": "arn:aws:sns:us-east-1:123456789012:my-topic:xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
"Sns": {
"Type": "Notification",
"MessageId": "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
"TopicArn": "arn:aws:sns:us-east-1:123456789012:my-topic",
"Subject": "New Order Confirmation",
"Message": "{\"orderId\": \"ORD-789\", \"customer\": \"Jane Doe\"}",
"Timestamp": "2023-10-27T10:00:00.000Z",
"SignatureVersion": "1",
"Signature": "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx",
"SigningCertUrl": "https://sns.us-east-1.amazonaws.com/SimpleNotificationService-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx.pem",
"UnsubscribeUrl": "https://sns.us-east-1.amazonaws.com/?Action=Unsubscribe&SubscriptionArn=arn:aws:sns:us-east-1:123456789012:my-topic:xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
"MessageAttributes": {
"EventType": {"Type": "String", "Value": "OrderCreated"}
}
}
}
]
}
lambda_handler(simulated_sns_event, None)SNS Event Details
Similar to SQS, the SNS event also comes with a Records array, but the structure inside is different:
event['Records']: A list, typically containing one SNS notification per invocation.record['Sns']: This object holds the core notification details.record['Sns']['MessageId']: Unique ID for the SNS message.record['Sns']['TopicArn']: The ARN of the SNS topic that published the message.record['Sns']['Subject']: The subject of the notification (optional).record['Sns']['Message']: The actual content of the notification, often a JSON string.
Remember to parse Message if you expect structured data.
Trigger Best Practices
When using SQS and SNS to trigger Lambda, keep these best practices in mind:
- Idempotency: Design your Lambda to handle duplicate messages without unintended side effects, as messages can sometimes be delivered more than once.
- Error Handling: Configure a Dead-Letter Queue (DLQ) for your SQS-triggered Lambda. Failed messages will be sent there for later inspection.
- Batch Processing: For SQS, process messages in batches efficiently. If one message in a batch fails, the entire batch might be retried.
- Permissions: Ensure the Lambda execution role has permissions to access SQS/SNS and other services it interacts with.
Triggering Lambda Quiz
Test your knowledge on SQS and SNS triggers for Lambda!
Recap & Next Steps
Great job! You've learned how to harness event-driven power by integrating Lambda with SQS and SNS.
- SQS Triggers: Enable asynchronous, decoupled message processing with Lambda polling queues.
- SNS Triggers: Facilitate real-time, fan-out notifications by pushing messages to Lambda.
- You've also seen the different event structures and key best practices for building resilient event-driven serverless applications.
Mastering these integrations is crucial for building scalable and robust serverless backends!
Perguntas Frequentes
A aula “Lambda com acionadores do SQS/SNS” é grátis?
Sim — o texto completo de “Lambda com acionadores do SQS/SNS” é grátis para ler aqui na web. Para praticá-la interativamente (um editor de código integrado e um tutor de IA 24/7) e desbloquear o restante do curso de Serverless Backend with AWS Lambda & API Gateway, atualize para CoddyKit PRO. O curso de Serverless Backend with AWS Lambda & API Gateway inclui 4 aulas no total.
O que vou aprender em “Lambda com acionadores do SQS/SNS”?
Configure funções do Lambda para serem acionadas por filas do SQS e tópicos do SNS, permitindo fluxos de trabalho avançados orientados por eventos. Você pratica Serverless Backend with AWS Lambda & API Gateway com código prático que executa diretamente no navegador, e um tutor de IA 24/7 responde suas dúvidas enquanto trabalha na aula.
Preciso ter experiência prévia para começar Serverless Backend with AWS Lambda & API Gateway?
Nenhuma experiência prévia é necessária. Serverless Backend with AWS Lambda & API Gateway no CoddyKit é estruturado para alunos iniciantes até avançados, então você pode começar aqui ou desde o início e aprender no seu ritmo. Esta é a aula 3 de 4.
Quanto tempo leva a aula “Lambda com acionadores do SQS/SNS”?
A maioria das aulas CoddyKit leva cerca de 5–10 minutos. Cada uma é compacta e interativa, então você faz progresso constante e retoma exatamente de onde parou entre web e app.
Posso escrever e executar código nesta aula de Serverless Backend with AWS Lambda & API Gateway?
Sim. Cada aula de Serverless Backend with AWS Lambda & API Gateway inclui um editor de código integrado, então você escreve e executa código real direto no navegador e recebe feedback de IA instantaneamente — nenhuma configuração local necessária.
Todas as aulas deste curso
- SQS para desacoplamento de serviços
- SNS para mensagens Pub/Sub
- Lambda com acionadores do SQS/SNS
- Filas de mensagens não entregues e tratamento de falhas