#Aws local dynamodb install#

We will now create two functions in the PetStoreClient class to read and write items from DynamoDB. Create a PetStoreClient class and add the dependency on DynamoDbClient. We need to create a data access class to interact with Amazon DynamoDB and run our read/write queries. This will bring in the dependencies for AWS SDK for DynamoDB and Apache HTTP Client that we'll use to create a synchronous DynamoDB client. Since we will be using Amazon DynamoDB as our data store, letвЂ™s add the corresponding SDK dependencies in the pom.xml.

We will start with simple attributes like name, age and category.

LetвЂ™s create a Pet class now to contain the attributes for the pets. LetвЂ™s change the pom.xml to update the name of the module to PetStore and use Java 11 instead of Java 8. sam init -r java11 -d maven -app-template pet-store -n pet-storeДЇor more details about the parameters passed, please refer to the previous article. This will create a pet-store folder in your current directory. Run the sam-init command to create a new project.

#Aws local dynamodb install#

You can install and configure SAM by following the guidelines in the previous article here. We will be using AWS SAM for this tutorial. This application will have APIs for adding a new pet and fetching the list of available pets. This time, we will create a sample Pet Store application using Amazon API Gateway, AWS Lambda, and Amazon DynamoDB.

In this article, I will walk you through the steps required to build and deploy a serverless application without having to create and setup an actual AWS account. And it can lead to unwanted expenses as well (if you don't configure it properly). Setting up an AWS account and configuring a development environment can be time-consuming. These were quick fun projects that leveraged the power of serverless computing and allowed us to deploy a serverless application on AWS within a few minutes.Д«ut many people are not able to completely leverage such tutorials if they don't have an AWS account. In my previous articles, I talked about building and deploying serverless applications on AWS using Chalice and SAM.