#Aws lambda slow startup code
The first phase in the execution environment’s lifecycle is initialization (Init).įor Java managed runtimes, a new JVM is started and your application code is loaded. When a Lambda function is invoked for the first time, or when Lambda is horizontally scaling to handle additional requests, an execution environment is created. You also learn how you can benchmark your applications to test these changes. It shows how Java virtual machine (JVM) settings affect the startup time and performance.
#Aws lambda slow startup how to
This blog post shows how to optimize the performance of AWS Lambda functions written in Java, without altering any of the function code. We'll keep working on this topic and really try to optimize the latency using Prisma adds here.This post is written by Mark Sailes, Senior Specialist Solutions Architect. Optimally you could give us another set of data on how the current version 4.13.0 changes the performance of your functions. To see where we are at, I also re-tested the cold start problems with specifically require for Google Cloud Run that reported first here and then split out into its own issue: #12132 This also includes steps like making sure the database is hosted in the same region than your serverless function. We recently wrote a nice blog post about jsonProtocol and the other work we have been doing to improve the cold start impact of using Prisma Client: How We Sped Up Serverless Cold Starts with Prisma by 9x
#Aws lambda slow startup crack
My first crack at it: prisma/prisma-engines#2789 My job is to make my application go faster and this appears to be at least one of the bottlenecks. I'm willing to open a PR I just need a little guidance on this. T14:00:38.632000+00:00 1/82b23d4a896e41b0b41098c9fe0253df T14:00:38.632Z prisma:client ( + = dmmf`Ĭan we add some implicit logic for some fields in the DMMF so that we don't need to emit as much information?įor example: what if we assume dbName is null if it's not defined, or isReadOnly is false if not defined, isNullable is false if not specified, etc. Many libraries on npm include both formats and esbuild tries to pick the format that works with tree shaking by default. Note that esbuild's tree shaking implementation relies on the use of ECMAScript module import and export statements. This way esbuild will only bundle the parts of your libraries that you actually use, which can sometimes be a substantial size savings. My dmmfString is 6,492,708 characters long it seems. I don't know why the prisma clients are 7.5MB of minified JS. Since I'm using esbuild (and a lot of next-gen JS tooling is starting to use it) it would be helpful if the generated client used ES modules or at least ES6 import syntax. How to reproduceĬreate a NodejsFunction with AWS CDK that imports a generated prisma client.
See below comments for more details on that. I'm continuing to gather data to try to work out what fraction of my cold start time is prisma. Here is what a typical lambda bundle with prisma looks like: This is an issue because it makes my lambda functions start in about 2.5 seconds compared to about 600ms for my functions that don't have the prisma client bundled: No prisma: I already have a prisma lambda layer containing the engines, my issue is with the massive amount of minified JS code included in my lambda bundle. My problem: 7.5MB of generated prisma client code is included in my application. I enable the minify option when bundling. I'm using Serverless Stack and NodejsFunction for bundling (which uses esbuild). I want to use Prisma in my AWS serverless lambda functions.
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