Gatilhos de eventos do S3 e SQS
Aprenda a acionar funções Lambda em resposta a eventos de objetos do Amazon S3 (por exemplo, carregamentos) e a mensagens de filas do Amazon SQS, viabilizando fluxos de processamento de dados.
Gatilhos de eventos do S3 e SQS é uma aula grátis de Serverless AWS Lambda Development 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 AWS Lambda Development, e seu progresso é sincronizado entre a web e o app CoddyKit. O curso de Serverless AWS Lambda Development inclui 4 aulas no total.
Partes desta aula ainda não foram traduzidas e aparecem em inglês.
Events Drive Serverless
Serverless functions, like AWS Lambda, don't just run on their own. They wait for something to happen! This "something" is called an event.
An event is a signal from another service that tells your Lambda function to execute. Think of it like a doorbell ringing for your function to answer.
S3 Bucket Events
Amazon S3 (Simple Storage Service) is a popular cloud storage service. It can generate events when objects are created, deleted, or modified in your buckets.
- Object Created (PUT): An image is uploaded.
- Object Deleted: A file is removed.
- Object Restored: An archived item is brought back.
These events can trigger a Lambda function to process the changes.
Connecting S3 to Lambda
To link an S3 bucket to a Lambda function, you define a trigger. This tells S3 which events to listen for and which Lambda function to invoke.
- You specify the S3 bucket.
- You choose the event types (e.g.,
s3:ObjectCreated:*). - You can filter by object prefix or suffix (e.g., only trigger for
images/folder or.jpgfiles).
What S3 Sends to Lambda
When an S3 event triggers your Lambda function, the function receives a JSON object containing details about the event. This object is the "event" parameter in your function handler.
Key information includes:
- Bucket Name: Where the event occurred.
- Object Key: The full path and name of the file affected.
- Event Name: The specific action (e.g.,
ObjectCreated:Put).
Processing an S3 Upload
Here's a Python Lambda function that processes an S3 object creation event. It extracts and prints the bucket name and the key of the uploaded object.
Try uploading a file to an S3 bucket configured to trigger this function!
import json
def lambda_handler(event, context):
for record in event['Records']:
bucket_name = record['s3']['bucket']['name']
object_key = record['s3']['object']['key']
event_name = record['eventName']
print(f"Event: {event_name}")
print(f"Bucket: {bucket_name}")
print(f"Object Key: {object_key}")
return {
'statusCode': 200,
'body': json.dumps('S3 event processed!')
}SQS Queue Messages
Amazon SQS (Simple Queue Service) is a message queuing service. It allows different parts of your application to communicate asynchronously without direct interaction.
When messages are sent to an SQS queue, they can trigger a Lambda function. This is great for tasks that can be processed later or in batches, like sending emails or processing orders.
Connecting SQS to Lambda
Setting up an SQS trigger for Lambda is straightforward. Lambda continuously polls the SQS queue for new messages.
- You specify the SQS queue.
- You define a batch size (1 to 10,000 messages). This determines how many messages Lambda tries to process in a single invocation.
- Lambda deletes messages from the queue only after successful processing.
What SQS Sends to Lambda
Similar to S3, an SQS event passed to your Lambda function is a JSON object. It contains an array of Records, each representing a message from the queue.
Each record includes:
- Message Body: The actual content of the message.
- Message Attributes: Optional metadata about the message.
- Receipt Handle: Used internally by SQS for message deletion.
Processing SQS Messages
This Python Lambda function processes messages from an SQS queue. It iterates through the batch of messages received and prints their content.
Imagine each message contains a task to perform!
import json
def lambda_handler(event, context):
for record in event['Records']:
message_body = record['body']
print(f"Received message: {message_body}")
# Add your processing logic here
return {
'statusCode': 200,
'body': json.dumps('SQS messages processed!')
}S3 vs. SQS Triggers
You've learned about two powerful event sources for AWS Lambda: S3 and SQS. They serve different purposes but both enable event-driven architectures.
Which of the following statements are TRUE regarding S3 and SQS Lambda triggers?
Recap: S3 & SQS Triggers
Great job! You've explored how AWS Lambda functions can be triggered by events from Amazon S3 and SQS.
- S3 triggers are perfect for reacting to file changes, like image uploads or document processing.
- SQS triggers enable asynchronous processing of messages, allowing for decoupled and scalable workflows.
These event sources are fundamental to building powerful, reactive serverless applications!
Perguntas Frequentes
A aula “Gatilhos de eventos do S3 e SQS” é grátis?
Sim — o texto completo de “Gatilhos de eventos do S3 e SQS” 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 AWS Lambda Development, atualize para CoddyKit PRO. O curso de Serverless AWS Lambda Development inclui 4 aulas no total.
O que vou aprender em “Gatilhos de eventos do S3 e SQS”?
Aprenda a acionar funções Lambda em resposta a eventos de objetos do Amazon S3 (por exemplo, carregamentos) e a mensagens de filas do Amazon SQS, viabilizando fluxos de processamento de dados. Você pratica Serverless AWS Lambda Development 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 AWS Lambda Development?
Nenhuma experiência prévia é necessária. Serverless AWS Lambda Development 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 “Gatilhos de eventos do S3 e SQS”?
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 AWS Lambda Development?
Sim. Cada aula de Serverless AWS Lambda Development 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
- Fundamentos da arquitetura orientada a eventos
- Invocando o Lambda com o API Gateway
- Gatilhos de eventos do S3 e SQS
- Invocações Agendadas com EventBridge