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Monday, January 29, 2018

Using Python and Amazon SQS FIFO Queues to Preserve Message ...
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Amazon Simple Queue Service (Amazon SQS) is a distributed message queuing service introduced by Amazon.com in late 2004. It supports programmatic sending of messages via web service applications as a way to communicate over the Internet. SQS is intended to provide a highly scalable hosted message queue that resolves issues arising from the common producer-consumer problem or connectivity between producer and consumer.

Amazon SQS can be described as commoditization of the messaging service. Well-known examples of messaging service technologies include IBM WebSphere MQ and Microsoft Message Queuing. Unlike these technologies, users do not need to maintain their own server. Amazon does it for them and sells the SQS service at a per-use rate.


Video Amazon Simple Queue Service



API

Amazon provides SDKs in several programming languages including Java, Ruby, Python, .NET, PHP and Javascript. A Java Message Service (JMS) 1.1 client for Amazon SQS was released in December 2014.


Maps Amazon Simple Queue Service



Authentication

Amazon SQS provides authentication procedures to allow for secure handling of data. Amazon uses its Amazon Web Services (AWS) identification to do this, requiring users to have an AWS enabled account with Amazon.com; this can be created at http://aws.amazon.com. AWS assigns a pair of related identifiers, your AWS access keys, to an AWS enabled account to perform identification. The first identifier is a public 20-character Access Key. This key is included in an AWS service request to identify the user. If the user is not using SOAP (protocol) with WS-Security, a digital signature is calculated using the Secret Access Key. The Secret Access Key is a 40-character private identifier. AWS uses the Access Key ID provided in a service request to look up an account's Secret Access Key. Amazon.com then calculates a digital signature with the key. If they match then the user is considered authentic, if not then the authentication fails and the request is not processed.


How to create SQS Connection in Informatica Cloud Real Time (ICRT ...
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Message delivery

Amazon SQS guarantees at-least-once delivery. Messages are stored on multiple servers for redundancy and to ensure availability. If a message is delivered while a server is not available, it may not be removed from that server's queue and may be resent. As of 2007, Amazon SQS does not guarantee that the recipient will receive the messages in the order they were sent by the sender. If message ordering is important, it is required that the application place sequencing information within the messages to allow for reordering after delivery.

Messages can be of any type, and the data contained within is not restricted. Message bodies were initially limited to 8KB in size but was later raised to 64KB on 2010-07-01 and then 256KB on 2013-06-18. For larger messages, the user has a few options to get around this limitation. A large message can be split into multiple segments that are sent separately, or the message data can be stored using Amazon Simple Storage Service (Amazon S3) or Amazon DynamoDB with just a pointer to the data transmitted in the SQS message. Amazon has made an Extended Client Library available for this purpose [2].

The service supports both unlimited queues and message traffic.


Amazon S3 events and Simple Queue Service | while true run;
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Message deletion

SQS does not automatically delete messages once they are sent. When a message is delivered, a receipt handle is generated for that delivery and sent to the recipient. These receipts are not sent with the message but in addition to it. SQS requires the recipient to provide the receipt in order to delete a message. This feature is new as of 2008 where only the message ID was required for message deletion. Because the system is distributed, a message may be sent more than once. In this case, the most recent receipt handle is needed to delete the message.

Once a message is delivered, it has a visibility timeout to prevent other components from consuming it. The "clock" for the visibility timeout starts once a message is sent, the default time being 30 seconds. If the queue is not told to delete the message during this time, the message becomes visible again and will be resent.

Each queue also consists of a retention parameter defaulting to 4 days. Any message residing in the queue for longer will be purged automatically. The retention can be modified from 1 minute up to 14 days by the user. If the retention is changed while messages are already in the queue, any message that has been in the queue for longer than the new retention will be purged.


AWS tutorial-Part71: Amazon Simple Queue Service (SQS) - YouTube
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Notable usage

Dropbox, Netflix and Nextdoor are examples of companies that use SQS extensively. SQS is also widely used within Amazon.com.


5ebb343794c26a4f55034767492f86 ...
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Pricing

The first 1 million monthly requests are free. After that, the pricing is as follows for all regions:

Date Transfer price


AWS tutorial-Part72:Lab32 | SQS Lab Session - YouTube
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See also

  • Java Message Service
  • IronMQ
  • Message queue
  • Message Queuing as a Service
  • Oracle Messaging Cloud Service
  • StormMQ

How to configure a Worker Environment for AWS Elastic Beanstalk ...
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References


AWS Certified Developer - Associate Tutorial - Step 2 : Intro to ...
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External links

  • Amazon Simple Queue Service homepage
  • ElasticMQ - replicated message queue implementing the Amazon SQS interface

Source of article : Wikipedia