Services or capabilities described in Amazon Web Services documentation might vary by Region. To see the differences applicable to the China Regions, see Getting Started with Amazon Web Services in China (PDF).

Use Amazon S3 ARNs instead of passing large payloads

Executions that pass large payloads of data between states can be terminated. If the data you are passing between states might grow to over 262,144 bytes, use Amazon Simple Storage Service (Amazon S3) to store the data, and parse the Amazon Resource Name (ARN) of the bucket in the Payload parameter to get the bucket name and key value. Alternatively, adjust your implementation so that you pass smaller payloads in your executions.

In the following example, a state machine passes input to an Amazon Lambda function, which processes a JSON file in an Amazon S3 bucket. After you run this state machine, the Lambda function reads the contents of the JSON file, and returns the file contents as output.

Create the Lambda function

The following Lambda function named pass-large-payload reads the contents of a JSON file stored in a specific Amazon S3 bucket.

import json
import boto3
import io
import os

s3 = boto3.client('s3')

def lambda_handler(event, context):
    event = event['Input']
    final_json = str()
    
    s3 = boto3.resource('s3')
    bucket = event['bucket'].split(':')[-1]
    filename = event['key']
    directory = "/tmp/{}".format(filename)
    
    s3.Bucket(bucket).download_file(filename, directory)
    
    with open(directory, "r") as jsonfile:
    
        final_json = json.load(jsonfile)
    
    os.popen("rm -rf /tmp")
    
    return final_json

Create the state machine

The following state machine invokes the Lambda function you previously created.

{  
   "StartAt":"Invoke Lambda function",
   "States":{  
      "Invoke Lambda function":{  
         "Type":"Task",
         "Resource":"arn:aws:states:::lambda:invoke",
         "Parameters":{  
            "FunctionName":"arn:aws-cn:lambda:us-west-2:123456789012:function:pass-large-payload",
            "Payload":{  
               "Input.$":"$"
            }
         },
         "OutputPath": "$.Payload",
         "End":true
      }
   }
}

Rather than pass a large amount of data in the input, you could save that data in an Amazon S3 bucket, and pass the Amazon Resource Name (ARN) of the bucket in the Payload parameter to get the bucket name and key value. Your Lambda function can then use that ARN to access the data directly. The following is example input for the state machine execution, where the data is stored in data.json in an Amazon S3 bucket named large-payload-json.

{
  "key": "data.json",
  "bucket": "arn:aws-cn:s3:::large-payload-json"
}