While working with aws i need to load a WSDL file in order to setup a soap service. The problem I now encounter however is that i don't know how i can possibly add a file to the docker container running my lambda function so that i can just read the file inside my lambda like in the code snippet below.
const files = readdirSync(__dirname + pathToWsdl);
files.forEach(file => {
log.info(file);
});
any suggestions on how i can do this are greatly appreciated!
Here are a few options:
If the files are static and small, you can bundle them in the Lambda package.
If the files are static or change infrequently then you can store them in S3 and pull from there on Lambda cold start.
If the files need to be accessed and modified by multiple Lambda functions concurrently or if you have a large volume of data with low-latency access requirements, then use EFS.
EFS is overkill for a small, static file. I would just package the file with the Lambda function.
Related
In AWS, working on AWS Wisdom which accepts only html and text file referring this aws.amazon.com/blogs/contact-center/ingesting-content-to-power-real-time-recommendations-and-search-with-amazon-connect-wisdom/
but i have data source as csv
how to convert the csv to html in lambda code and so that it passes to knowledge base of wisdom
Write Node JS logic the same way as you would in any Node JS app. Then use the AWS Lambda run time to build the Lambda function by using the same business logic.
There is nothing special using an AWS Lambda function when you want to perform this type of task. Its the same logic. And to make it even better, there are many examples on the NET that shows you how to convert csv to html.
If you do not know how to use NODE JS to write an AWS Lambda funciton, check the following example as a reference:
https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/lambda-for-browser
I Currently have a project in AWS with several lambda functions, most of the functions in NodeJS, I want to know if is there a way to create a lambda layer with my own code functions that I use in different lambdas without publish it in npm, I already search in old questions in stack question-1 question-2, but these were not answered
Thanks for help!
create a folder in your local machine called nodejs
put your "shared" logic in that folder like /nodejs/shared.js
you can zip this nodejs folder and upload as a layer
in your lambda code require the shared.js as const shared = require('/opt/nodejs/shared.js')
Links:
Lambda layers: https://docs.aws.amazon.com/lambda/latest/dg/configuration-layers.html
Detailed guide: https://explainexample.com/computers/aws/aws-lambda-layers-node-app
Using layers with SAM: https://docs.aws.amazon.com/serverlessrepo/latest/devguide/sharing-lambda-layers.html
I saw different questions/answers but I could not find the one that worked for me. Hence, I am really new to AWS, I need your help. I am trying to download gzip file and load it to the json file then upload it to the S3 bucket using Lambda function. I wrote the code to download the file and convert it to json but having problem while uploading it to the s3 bucket. Assume that file is ready as x.json. What should I do then?
I know it is really basic question but still help needed :)
This code will upload to Amazon S3:
import boto3
s3_client = boto3.client('s3', region_name='us-west-2') # Change as appropriate
s3._client.upload_file('/tmp/foo.json', 'my-bucket', 'folder/foo.json')
Some tips:
In Lambda functions you can only write to /tmp/
There is a limit of 512MB
At the end of your function, delete the files (zip, json, etc) because the container can be reused and you don't want to run out of disk space
If your lambda has proper permission to write a file into S3, then simply use boto3 package which is an AWS SDK for python.
https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/s3.html
Be aware that if the lambda locates inside of VPC then lambda cannot access to the public internet, and also boto3 API endpoint. Thus, you may require a NAT gateway to proxy lambda to the public.
Can I use lambda to compress images under a bucket?
I can get the images under a particular bucket visa listObject. How do you compress these returns and write it in another bucket?
Yes, you can absolutely use lambda. Try this library: aws-lambda-image-compressor
AWS lambda function to compress and resize images
This is a Lambda Function which resizes/reduces images automatically. When an image is put on some AWS S3 bucket, this function will resize/reduce it and save it into a new bucket. I have used it in the past and I loved it.
Usage
edit lambda-config.js file and assign name, description, memory size, timeout of your lambda function.
edit .env file with your AWS access data
npm install
gulp deploy
You can also try this other library which is more popular in the crowd - aws-lambda-image
If you really want to create something of your own and want a good start.
I would recommend these 2 articles that explain it very well -
Image conversion using Amazon Lambda and S3 in Node.js
Automating Image Compression Using S3 & Lambda
If you are fine to use Amazon API Gateway then u can follow this AWS Compute Blog -
Resize Images on the Fly with Amazon S3, AWS Lambda, and Amazon API Gateway
Hope this was useful.
Does anyone know how I can connect to a PostgreSQL database through an AWS Lambda function. I searched it up online but I couldn't find anything about it. If you could tell me how to go about it that would be great.
If you can find something wrong with my code (node.js) that would be great otherwise can you tell me how to go about it?
exports.handler = (event, context, callback) => {
"use strict"
const pg = require('pg');
const connectionStr =
"postgres://username:password#host:port/db_name";
var client = new pg.Client(connectionStr);
client.connect(function(err){
if(err) {
callback(err)
}
callback(null, 'Connection established');
});
context.callbackWaitsForEmptyEventLoop = false;
};
The code throws an error:
cannot find module 'pg'
I wrote it directly on AWS Lambda and didn't upload anything if that makes a difference.
I wrote it directly on AWS Lambda and didn't upload anything if that makes a difference.
Yes this makes the difference! Lambda doesnt provide 3rd party libraries out of the box. As soon as you have a dependency on a 3rd party library you need to zip and upload your Lambda code manually or with the use of the API.
Fore more informations: Lambda Execution Environment and Available Libraries
You need to refer Creating a Deployment Package (Node.js)
Simple scenario – If your custom code requires only the AWS SDK library, then you can use the inline editor in the AWS Lambda console. Using the console, you can edit and upload your code to AWS Lambda. The console will zip up your code with the relevant configuration information into a deployment package that the Lambda service can run.
and
Advanced scenario – If you are writing code that uses other resources, such as a graphics library for image processing, or you want to use the AWS CLI instead of the console, you need to first create the Lambda function deployment package, and then use the console or the CLI to upload the package.
Your case like mine falls under Advanced scenario. So we need to create a deployment package and then upload it. Here what I did -
mkdir deployment
cd deployment
vi index.js
write your lambda code in this file. Make sure your handler name is index.handler when you create it.
npm install pg
You should see node_modules directory created in deployment directory which has multiple modules in it
Package the deployment directory into a zip file and upload to Lambda.
You should be good then
NOTE : npm install will install node modules in same directory under node_modules directory unless it sees a node_module directory in parent directory. To be same first do npm init followed by npm install to ensure modules are installed in same directory for deployment.