By default Lambda deployment package size is limited to 50MB. To overcome this limitation we will store lambda layer packages on S3 bucket.
Use an existing bucket or create a new one using the command below:
aws s3 mb s3://shuraosipov-lambda-layers
Specify a list of packages you want to include to a layer in requirements.txt file.
Default content is:
amazon-textract-prettyprinter==0.0.10
amazon-textract-response-parser==0.1.20
pandas
Provide python version, layer name, layer description and target S3 backet for storing layers in the confg file.
Default content is:
PYTHON_VERSION="python3.9"
LAYER_NAME="pandas-textract-reader"
LAYER_DESCRIPTION="Layer containing pandas, amazon-textract-response-parser and amazon-textract-prettyprinter libraries"
BUCKET_NAME="shuraosipov-lambda-layers"
From the app root folder:
$ cd build_scripts/
$ bash create_new_layer.sh config
You will see the following output:
Checking if necessary system packages is installed... Success!
Python version - python3.9
Package name - pandas-textract-reader-lambda-layer.zip
Building lambda layer in /tmp/tmp.nqoEObnXYl/python/lib/python3.9/site-packages/ folder
S3 bucket for storing lambda layer package - shuraosipov-lambda-layers
Installing dependencies... Success!
Compiling the .zip file... Success!
Archive size is 45M
Uploading lambda layer package to S3... Success!
Publishing a layer... Success!
Cleaning up... Success!
Enjoy your newly created layer - arn:aws:lambda:us-east-1:419091122511:layer:pandas-textract-reader:3