How to process message queuing system by amazon SQS

MicroPyramid, a standard AWS consulting partner with astonishing AWS consultants, who can guide you to process message queuing system by Amazon SQS. Consult our technical experts to get best AWS consulting services with outstanding quality and productivity.

Amazon Simple Queue Service (Amazon SQS) is a distributed messaging queue oriented service.

messages are queued into SQS which are variable in size but can be no larger than 256KB. SQS doesn’t give the guarantee to the delivery order of messages. SQS messages will be delivered more than once with no guarantee to the order of message. Using Visibility Timeout we can ensure once a message has been retrieved it will not be resent for a given period of time.

In this tutorial, we'll see how to manage SQS queues and messages using boto3.

    import boto3

    # boto3 connect

    sqs = boto3.resource(

        'sqs',

        region_name=AWS_REGION_NAME,

        aws_access_key_id=AWS_ACESS_KEY_ID,

        aws_secret_access_key=AWS_SECRET_ACESS_KEY)

In the above code, we are connecting to a sqs resource in a given region, access key id, secret key using boto3.

Creating A Queue:

    queue = sqs.create_queue(QueueName='testqueue', Attributes={'DelaySeconds': '5'})

We should give queue name, can also give other attributes such as delay seconds(number of seconds to wait before an item may be processed), ApproximateNumberOfMessages, MaximumMessageSize.

It returns unique queue url though which we can access queue and its messages

Connecting to an existing Queue:

After connecting to a service, we are connecting a SQS Queue by giving queue name with get_queue_by_name method.

    queue = sqs.get_queue_by_name(QueueName=AWS_QUEUE_NAME)

Sending Messages

In SQS, we can create single, bulk messages in a queue using send_message and send_messages command.

Adding a single message:

            response = queue.send_message(

                QueueUrl=url,

                MessageBody='message1',

                MessageAttributes={

                'Type': {

                    'name': 'String'

                }

            )

            print response

It returns a message id, message body for generated message. We can alse user defined attrubutes to a individual message.

Adding a bulk messages:

            response = queue.send_messages(Entries=[{

                QueueUrl=url,

                MessageBody='message1',

                MessageAttributes={

                'Type': {

                    'length': '09'

                },

                {QueueUrl=url,

                MessageBody='message2',

                MessageAttributes={

                'Size': {

                    'size': '20'

                }]

            )

            print response

Response will contain all successful message and failed messages information in a queue.

Processing Messages

    message = queue.receive_messages()[0]

    message = queue.receive_messages(MessageAttributeNames=['Type'])[0]

    sqs message will be processed in batches, we can retrieve all messages or filter particular messages based on attribute types in a queue. We will get the message information in an xml format. We can convert it to json using xmltodict package. Here you can find relevant information to process information.

Deleting Messages

    response = client.delete_message(

        QueueUrl=url,

        ReceiptHandle=MESSAGE_ID

    )
    response = queue.delete_messages(

        Entries=[

            {

                'Id': MESSAGE_ID,

                'ReceiptHandle': MESSAGE_BODY

            },

        ]

    )

    Here we give the queue url, message id for the message to be deleted.

Delete Queue

    response = client.delete_queue(

        QueueUrl=url

    )

When you delete a queue, you must wait at least 60 seconds to delete the queue and creating a queue with the same name.

Posted On 05 May 2017 By MicroPyramid


Need any Help in your Project?Let's Talk

Latest Comments
AWS Lambda - Best Practices

After Years of Developing Lambda Scripts from creating Serverless Applications to Pipelining your Tasks, Here are the Best Practices that we follow.

Continue Reading...
Autoscaling Application with AutoScaling Groups and AWS LoadBalancer

Autoscaling Application with AutoScaling Groups and AWS LoadBalancer

Continue Reading...
How to Build and verify an application using aws codepipeline and creating custom events with lambda

How to build and verify an application using aws codepipeline and creating custom events with lambda.

Continue Reading...
AWS tips and tricks to optimize cost and performance for better ROI

Best Practices of AWS cost and Performance Optimization

Continue Reading...
How to process message queuing system by amazon SQS

How to process attributes of message queuing system by amazon SQS using Boto3

Continue Reading...
Easy and Fast way to implement AWS Lambda service

We are going to use a simple application called Gordan to prevent creating a lambda function and triggering actions which involves time taking and repetitive …

Continue Reading...
How To Send And Receive Email With Django And Amazon SES

django-ses-gateway a pluggable Django application is used for sending mails from your verified domains and verified emails. We can also use django-ses-gateway for receiving messages …

Continue Reading...
Deploy Django using CloudFormation Template

CloudFormation helps in Using JSON templates to describe the resources needed from aws. With this approach, we don't have to repeat the same manual configuration …

Continue Reading...
How to Mount S3 Bucket on Local Disk

It all starts with FUSE, FUSE is File System User Space. Operating Systems have Kernel Space and User Space. Kernel Space is where low level …

Continue Reading...
Using AWS Lambda with S3 and DynamoDB

AWS lambda is handy tool for event driven computation, here we will learn how to configure and setup lambda function so to run our function …

Continue Reading...
How to access EC2 instance even if pem file is lost

Accessing the EC2 instance even if you loose the pem file is rather easy.

1. First, create a new instance by creating new access …

Continue Reading...
Deploying Django project on Elastic Beanstalk

Here You can learn about how to setup and deploy a Django application to Amazon Web Services (AWS).

Tools/technologies used:
Python v2.7
Django v1.7
Amazon …

Continue Reading...
how to setup custom domain for amazon cloudfront

We all want our own domain name to be setup for cloud front instead of amazon default cloud front domain name. We need two things …

Continue Reading...
Paginating S3 objects using boto3

When using Boto you can only List 1000 objects per request. So to obtain all the objects in the bucket. You can use s3's paginator.

Continue Reading...
Creating Elastic Search Cluster (EC2, cloud-aws Plugin)

While handling Large amounts of data with elasticsearch, you may run out of server capacity or compute power, Forming a Elasticsearch cluster will reduce the …

Continue Reading...
Configuring and Testing Load Balancer in AWS EC2

When You have an application that is serving Huge Customer Base, so will be your Traffic. Sometimes The Application simply stops responding. We can use …

Continue Reading...
Django Hosting on Amazon EC2 with wordpress on same domain

Configuring the Wordpress as subdirectory can be tricky. In this tutorial we will Setup a Django Website alongside a wordpress blog.

Continue Reading...
Amazon SES - Handling Bounces and Complaints

In general while sending emails, we will prepare some recipient addresses as our mailing list, which are valid and our recipients want and expect our …

Continue Reading...
Amazon AWS IAM Roles and Policies

When You want to Provide access to Amazon Web Services Console or if you're planning to provide REST API Keys to your Developers of a …

Continue Reading...
CORS with Amazon S3 and CloudFront

We struggle to load fonts from CloudFront because of CORS.

CORS - Cross Origin Resource Sharing is a security measure to block macious scripts or …

Continue Reading...

Subscribe To our news letter

Subscribe and Stay Updated about our Webinars, news and articles on Django, Python, Machine Learning, Amazon Web Services, DevOps, Salesforce, ReactJS, AngularJS, React Native.
* We don't provide your email contact details to any third parties