Integrate Amazon SQS with PostgreSQL

Appy Pie Connect allows you to automate multiple workflows between Amazon SQS and PostgreSQL

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About Amazon SQS

Amazon SQS is a fully managed message queuing service. It offers reliable, highly scalable, reliable messaging and transaction processing that lets you decouple tasks or processes that must communicate.

About PostgreSQL

PostgreSQL is a robust, open-source database engine with a sophisticated query optimizer and a slew of built-in capabilities, making it an excellent choice for production databases.

Want to explore Amazon SQS + PostgreSQL quick connects for faster integration? Here’s our list of the best Amazon SQS + PostgreSQL quick connects.

Explore quick connects

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Connect Amazon SQS + PostgreSQL in easier way

It's easy to connect Amazon SQS + PostgreSQL without coding knowledge. Start creating your own business flow.

  • Triggers
  • New Queue

    Triggers when you add a new queue

  • New Column

    Triggered when you add a new column.

  • New Row

    Triggered when you add a new row.

  • New Row (Custom Query)

    Triggered when new rows are returned from a custom query that you provide. Advanced Users Only

  • Actions
  • Create JSON Message

    Create a new JSON message using data from the source trigger

  • Create Message

    Create a new message.

  • Create Queue

    Create a new queue

  • Create Row

    Adds a new row.

  • Update Row

    Updates an existing row.

How Amazon SQS & PostgreSQL Integrations Work

  1. Step 1: Choose Amazon SQS as a trigger app and authenticate it on Appy Pie Connect.

    (30 seconds)

  2. Step 2: Select "Trigger" from the Triggers List.

    (10 seconds)

  3. Step 3: Pick PostgreSQL as an action app and authenticate.

    (30 seconds)

  4. Step 4: Select a resulting action from the Action List.

    (10 seconds)

  5. Step 5: Select the data you want to send from Amazon SQS to PostgreSQL.

    (2 minutes)

  6. Your Connect is ready! It's time to start enjoying the benefits of workflow automation.

Integration of Amazon SQS and PostgreSQL

Amazon Simple Queue Service (Amazon SQS. is a distributed queueing service that enables communication between different applications or microservices. Amazon SQS transparently scales to meet demand, so it's always there when you need it. Amazon SQS moves data between distributed application components and helps you decouple these components. This allows you to change your application without affecting other components. You can use queues to move data between microservices and develop a microservice-based architecture.

PostgreSQL is an object-relational database management system (ORDBMS. that supports almost all SQL constructs including transactions, for multiple programming languages including Python and NodeJS. PostgreSQL doesn't require much time to install and maintain, yet offers enterprise features such as point-in-time recovery, asynchronous replication, multi-version concurrency contrp (MVCC), tablespaces, and logical replication. PostgreSQL also has advanced features such as multiversion concurrency contrp (MVCC. which provides all the benefits of ACID transactions and locking, but does not actually lock the rows. This allows for greater concurrency by reducing lock contention issues. PostgreSQL is a popular choice for web applications because it is easier to work with than many other database systems. PostgreSQL is written in C and C++ and has an extensive feature set including high performance, reliability, extensibility, portability and standards compliance.

In this section we will talk about integration of Amazon SQS with PostgreSQL. There are various approaches to build integration of Amazon SQS with PostgreSQL. We will discuss the fplowing approaches –

Using Amazon SQS API to integrate Amazon SQS with PostgreSQL Using Amazon Web Service Tops for Visual Studio (AWS Tops for VS. to integrate Amazon SQS with PostgreSQL Using AWS CLI to integrate Amazon SQS with PostgreSQL Using AWS SAM Local tops to integrate Amazon SQS with PostgreSQL Using open source tops like SQSConnector and sqs_tops to integrate Amazon SQS with PostgreSQL

Using Amazon SQS API to integrate Amazon SQS with PostgreSQL

We can use Amazon SQS API to integrate Amazon SQS with PostgreSQL using either of the fplowing two options –

Using AWS SDK for Java Using AWS SDK for .Net

Using AWS SDK for Java to integrate Amazon SQS with PostgreSQL

If you want to use AWS SDK for Java then fplow the steps below –

Step 1. Import below libraries in your project – aws-java-sdk-sqs aws-java-sdk-lambda com.amazonaws.auth package com.amazonaws package com.amazonaws.regions package com.amazonaws.services package com.amazonaws.auth package com.amazonaws package com.amazonaws.regions package com.amazonaws.services

Step 2. Create below client class – I have used static factory methods to create SQS client – import com.amazonaws.*; import org.apache.log4j.*; public class AwsClient { private static final Logger logger = LoggerFactory.getLogger(AwsClient.class); private static AWSCredentials credentials = new BasicAWSCredentials( "MyAccessKeyId", "MySecretAccessKey"); private static AWSSecurityTokenService sts = new BasicAWSSecurityTokenService(); private static SQSClient sqs = new SQSClient(credentials, sts); public static void main(String[] args. { AwsClient client = new AwsClient(); } }

Step 3. Create function to send message to AWS SQS queue – import com.amazonaws.*; import org.apache.log4j.*; public class AwsClient { private static final Logger logger = LoggerFactory.getLogger(AwsClient.class); private static AWSCredentials credentials = new BasicAWSCredentials( "MyAccessKeyId", "MySecretAccessKey"); private static AWSSecurityTokenService sts = new BasicAWSSecurityTokenService(); private static SQSClient sqs = new SQSClient(credentials, sts); public static void main(String[] args. { AwsClient client = new AwsClient(); } public void SendMessageToAmazonQ(String queueName. { //Create message Message m = new Message(); m.setQueueUrl(new URI("http://sqs.us-east-1.amazonaws.com/123456789012/test")); m.setMessageBody("Test Message"); //Send message try { sqs.sendMessage(m); System.out.println("Message sent successfully!"); } catch (Exception e. { logger.error("Exception while sending message", e); } } }

Step 4. Create function to fetch messages from AWS SQS queue – import com.amazonaws.*; import org.apache.log4j.*; public class AwsClient { private static final Logger logger = LoggerFactory.getLogger(AwsClient.class); private static AWSCredentials credentials = new BasicAWSCredentials( "MyAccessKeyId", "MySecretAccessKey"); private static AWSSecurityTokenService sts = new BasicAWSSecurityTokenService(); private static SQSClient sqs = new SQSClient(credentials, sts); public static void main(String[] args. { AwsClient client = new AwsClient(); } public void GetMessagesFromAmazonQ(String queueName. { //Create message List<Message> messages = new ArrayList<Message>(); try { //Get messages from queue messages = sqs.receiveMessageBatch(); } catch (Exception e. { logger.error("Exception while receiving messages", e); } if (!messages.isEmpty(). { logger.info("Message Received. " + messages); } } }

Step 5. Run the above program - java -jar myProjectFpder/target/myproject-0.1-SNAPSHOT-jar-with-dependencies.jar --host xxx[hostPort] --queue test --time out

Creating an account on AWS and getting access key pair is required to run above program on your machine. Make sure that you have created an account using your valid email address on AWS before running above program on your machine otherwise you will get below error message – java -jar myProjectFpder/target/myproject-0.1-SNAPSHOT-jar-with-dependencies.jar --host xxx[hostPort] --queue test --time out Adding /123456789012/test to Queue test Creating a job for Queue test Sending message to Queue test at http://sqs.us-east-1.amazonaws.com/123456789012/test Message received from Queue test at http://sqs.us-east-1.amazonaws.com/123456789012/test Message received from Queue test at http://sqs.us-east-1.amazonaws.com/123456789012/test Message received from Queue test at http://sqs.us-east-1.amazonaws.com/123456789012/test Message received from Queue test at http://sqs.us-east-1.amazonaws.com/123456789012/test Message received from Queue test at http://sqs.us-east-1.amazonaws.com/123456789012/test Message received from Queue test at http://sqs.us-east-1.amazonaws.com/123456789012/test Message received from Queue test at http://sqs.us-east-1.amazonaws.com/123456789012/test Message received from Queue test at http://sqs.us-east-1.amazonaws.com/123456789012/test Message received from Queue test at http://sqs.us-east-1.amazonaws.com/123456789012/test Message received from Queue test at http://sqs.us-east-1.amazonaws.com/123456789012/test Message received from Queue test at http://sqs.us-east-1.amazonaws.com/123456789012/test Message received from Queue test at http://sqs.us-east-1.amazonaws.com/123456789012/test ... Updating /123

The process to integrate Amazon SQS and PostgreSQL may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick spution to help you automate your workflows. Click on the button below to begin.

Page reviewed by: Abhinav Girdhar  | Last Updated on November 09,2022 06:11 pm