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api/tests - Unit tests for the application code.events - Invocation events that you can use to invoke the function.

#Aws postgresql lambda nodejs code

api - Code for the application's Lambda function.

It includes the following files and folders. For dev and test purposes) or deploy to AWS S3 bucket as zipped file, this is done through a circleci pipeline. The API gateway integration timeout ranges from 50 milliseconds to 29 seconds.This repository contains source code and supporting files for a AWS Lambda function that you can run locally with the SAM CLI (e.g. The API gateway response will error out if the AWS Lambda integration function isn’t initialized in the given time range. If you’re using the AWS API gateway as a trigger for the Lambda function, then you must take cold start time into consideration. Do I Need to Worry About Cold Start Time? In the above graphs, the response time of request 1 includes the cold start time, which significantly differs based on the programming language used for AWS Lambda function. When the Lambda function receives its first request, it will initialize the container and the required process environment.

What is Cold Start Time?Ĭold start time refers to the time taken by the AWS Lambda function for initialization. The only notable difference between Java and Node.js Lambda functions is the cold start time. The response time using a connection pool is significantly lower due to the fact that the connection pool initializes once and reuses the connection instead of opening and closing the connection for each database operation. You can see here the difference in response time when a connection pool is used for performing database operations. The graphs above represent the average response time of a request in each iteration. This test was repeated for Lambda functions without using the connection pool initially, and later with the connection pool. Using the AWS API gateway as a trigger, we invoked the functions in a burst of 50 requests per iteration and determined the average response time for a request in each iteration. To verify the performance and optimization of using connection pools, we ran few tests for both Java and Node.js Lambda functions. Private String APIGatewayProxyResponseEvent handleRequest(APIGatewayProxyRequestEvent input, Context context) ) ĪWS Lambda Connection Pool Analysis and Observations

#Aws postgresql lambda nodejs driver

Here’s the code to enable the MongoDB connection pool using the Java driver in AWS Lambda handler function:

#Aws postgresql lambda nodejs how to

How to Use #MongoDB Connection Pooling on AWS Lambda Using Node.js and Lambda Drivers Click To Tweet Java Driver MongoDB Connection Pool

#Aws postgresql lambda nodejs free

It takes less than 5 minutes to set up, and you can create a free 30-day trial here to get started. In this post, we’ll show you examples involving both Node.js and Java driver for MongoDB. For this tutorial, we use MongoDB hosted on ScaleGrid using AWS EC2 instances. Hence, the pool size needs to be chosen carefully, considering the application load and concurrency to be achieved. If the connection pool limit is reached, any new requests will be made to wait until the existing ones are completed. The connection pool size determines the maximum number of parallel requests which your driver can handle at a given time. For example, it’s 5 in Node.js driver, whereas it’s 100 in Java driver. The size of the connection pool is configurable in most of the MongoDB drivers, and the default pool size varies from driver to driver. This cache is known as the connection pool. By using this approach, we can save the time required for establishing a new connection every time and reuse the connections. What if we have a bunch of database connections that are kept alive in a cache? Whenever an application needs to perform a database operation, it can borrow a connection from the cache, perform the required operation, and give it back. If an application needs to open a database connection for every operation, then that will have a severe performance impact. Opening and closing a database connection is an expensive operation since it involves both CPU time and memory.

In our example, we use the AWS API gateway to trigger the Lambda functions. It can be directly triggered by AWS services like S3, DynamoDB, Kinesis, SNS, etc. Instead, you only have to upload the code and set up the event trigger, and AWS Lambda automatically takes care of everything else.ĪWS Lambda supports various runtimes, including Node.js, Python, Java, and Go. It allows a user to run code without any of the administrative tasks, unlike that of EC2 instances where a user is responsible for provisioning servers, scaling, high availability, etc. What is AWS Lambda?ĪWS Lambda is an event-driven, serverless computing service provided by Amazon Web Services. In this post, we’ll show you how to use MongoDB connection pooling on AWS Lambda using both Node.js and Java drivers.