Using AWS lambda to store user data in Amazon RDS, a new way of using much less hardware than traditional databases by saving money and space. Experience how easy it is to use this technology with just 2 lines of code!
The “aws lambda connect to external database” is a service that allows users to store data in Amazon Relational Database Service (Amazon RDS). The service makes use of the AWS Lambda service.
In this tutorial, we’ll learn how to utilize AWS Lambda to store user data in Amazon RDS using AWS Lambda. This instruction is broken down into three sections.
- Using Amazon RDS to create a database.
- Making a Spring Boot application is a simple task.
- Lambda function is being tested.
Before proceeding, we might refer to the following tutorials.
Let’s get this party started!
Using Amazon RDS to create a database
We will first log in to our AWS account, then choose RDS from the Services menu. We’ll click Make a database in the upper right corner.
We’ll start by selecting a database building technique. When we choose Standard Create, we are given the ability to customize all of the setting choices. If we chose Easy create, on the other hand, we will be using suggested best-practice setups. We’ll use Standard Create for this lesson. We’ll choose MYSQL from the Engine drop-down menu.
The Version value will be left as default, i.e. MySQL 8.0.23. We’ll pick Production in Templates, but we’ll make sure we stay in the free tier. We may change the name of our database instance under Settings. We may specify the Master username and password under Credentials Settings.
Select Burstable classes, then Include previous generation classes, and finally db.t2.micro in the DB instance class. We’ll go with General Purpose SSD as our storage type (gp2).
We’ll leave the rest of the Storage settings alone. We’ll pick Do not construct a standby instance for the time being under Availability & Durability. We’ll keep the default VPC and Subnet group in Connectivity, and then we’ll make our database publicly available, allowing EC2 instances and devices outside the VPC to connect to it. We’ll now construct a Security group to control which EC2 instances and devices inside the VPC have access to the database. The name of our newly developed Security, myrdssg, will be provided.
We provide a variety of authentication alternatives. For the time being, we’ll stick with Password authentication.
Then we may set database options, backup enabled, backtrack disabled, Enhanced Monitoring enabled, maintenance, CloudWatch Logs, and delete protection enabled, among other things. For the time being, we’ll merely offer our first database name, mylambdadb, and leave the rest of the parameters alone. After that, we’ll press the Create Database button.
To understand more about RDS, we may go to the AWS official website.
RDS Security Group
Now we’ll edit the Inbound rules for myrdssg, our newly established Security Group. It’s worth noting that when we modify the Inbound rules, we’ll see that our PC’s public IP address will be mentioned in Source. We may change the source from that IP address to Anywhere so that our lambda function can access it as well.
MySQL Workbench is a program that allows you to work with MySQL
We can access our database from our PC since we made it public. In MySQL Workbench, we’ll create a new connection and give it a name, in this instance myAWSLambdaRDS. The hostname will be the same as the Endpoint value mentioned in the database’s description under Connectivity and Security. Then we’ll enter our Username and Password, which we previously specified.
With the SQL script below, we’ll construct a table course.
PRIMARY KEY (‘id’ int NOT NULL AUTO INCREMENT, ‘code’ varchar(255) DEFAULT NULL, ‘name’ varchar(255) DEFAULT NULL, PRIMARY KEY (‘id’)) CREATE TABLE ‘course’ (‘id’ int NOT NULL AUTO INCREMENT, ‘code’ varchar(255) DEFAULT NULL, AUTO INCREMENT=8 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4 0900 ai ci; ENGINE=InnoDB AUTO INCREMENT=8 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4 0900 ai ci;
Spring Boot Application Development
The pom.xml file will be the same as it was in this tutorial. The only change is that we’ll additionally include the following MySQL dependent.
Course for the general public a string name; a string code; a string name; a string code; a string return name; public String getName(); this.name = name; public void setName(String name) return code from public String getCode(); this.code = code; public void setCode(String code);
We’ll send a Course object as input to the handler method. Then we’ll build a connection to our database by changing our datasource URL to database-1.cvqbuxxhgtqm.us-east-2.rds.amazonaws, which is database-1.cvqbuxxhgtqm.us-east-2.rds.amazonaws in our case. We’ll attach the port as well as the name of our database (mylambdadb). The data given by the user will then be inserted into our database using the insert query. Our method will return true if everything goes smoothly, else it will return false.
package com.rds.aws.lambda; import java.sql.Connection; import java.sql.DriverManager; import java.sql.Statement; import java.util.logging.Logger; import com.amazonaws.services.lambda.runtime.Context; import com.amazonaws.services.lambda.runtime RequestHandlerCourse, Boolean> is a RequestHandler implementation. logger = Logger.getLogger(Handler.class.getName()); private Logger logger = Logger.getLogger(Handler.class.getName()); public Boolean handleRequest @Override (Course input, Context context) try con = DriverManager.getConnection(“jdbc:mysql:/database-1.cvqbuxxhgtqm.us-east-2.rds.amazonaws.com:3306/mylambdadb”, “admin”, “helloworld”); stmt.executeUpdate(“INSERT INTO mylambdadb.course (name,code) values(‘” + input.getName()
Lambda function is being tested.
The following lesson may be used to learn how to develop a lambda function using a Spring Boot application. We’ll now put our lambda function to the test by uploading a course object with the attributes name and code.
The log output of our lambda function may be seen here. The method returned true, indicating that data had been added successfully into our database.
The entry has been placed into our database, as we can see.
This brings us to the conclusion of our lesson. We learnt how to utilize AWS Lambda to store user data in Amazon RDS, starting with setting Amazon RDS and progressing through the process of developing our Spring Boot Application to be used as a lambda function. Finally, we uploaded our jar file and ran the lambda function with the appropriate input to test the code.
Stay tuned for more educational lessons in the future. Please feel free to leave any remarks in the space below.
Good luck with your studies!
The “aws lambda rds connection pool” is a service that allows for the storage of user data in Amazon RDS. This can be used to store data that is too large for cloud storage services like AWS S3.
Frequently Asked Questions
Can Lambda work with RDS?
Can Lambda connect to database?
A: Yes. Lambda is a highly intelligent question answering bot, and can connect with databases that are connected to the internet.
How do I use AWS Lambda function in AWS RDS MySQL?
A: It is quite simple. You enter the AWS Lambda function application key and secret key in your settings under General Key Settings, then you can use this to make calls to it from anywhere with a single line of code.
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