AWS Lambda
Developer Guide

Step 2.1: Create a Deployment Package


At this time, example code for the Lambda function is provided only in Python.


The following example Python code reads and writes an item to your ElastiCache cluster.

  1. Open a text editor, and then copy the following code.


    The from __future__ statement enables you to write code that is compatible with Python 2 or 3. If you are using runtime version 3.6, it is not necessary to include it.

    from __future__ import print_function import time import uuid import sys import socket import elasticache_auto_discovery from pymemcache.client.hash import HashClient #elasticache settings elasticache_config_endpoint = "your-elasticache-cluster-endpoint:port" nodes = nodes = map(lambda x: (x[1], int(x[2])), nodes) memcache_client = HashClient(nodes) def handler(event, context): """ This function puts into memcache and get from it. Memcache is hosted using elasticache """ #Create a random UUID... this will the sample element we add to the cache. uuid_inserted = uuid.uuid4().hex #Put the UUID to the cache. memcache_client.set('uuid', uuid_inserted) #Get item (UUID) from the cache. uuid_obtained = memcache_client.get('uuid') if uuid_obtained.decode("utf-8") == uuid_inserted: # this print should go to the CloudWatch Logs and Lambda console. print ("Success: Fetched value %s from memcache" %(uuid_inserted)) else: raise Exception("Value is not the same as we put :(. Expected %s got %s" %(uuid_inserted, uuid_obtained)) return "Fetched value from memcache: " + uuid_obtained.decode("utf-8")
  2. Save the file as

  3. Install the following library dependencies using pip:

    • pymemcache – The Lambda function code uses this library to create a HashClient object to set and get items from memcache (see pymemcache).

    • elasticache-auto-discovery – The Lambda function uses this library to get the nodes in your Amazon ElastiCache cluster (see elasticache-auto-discovery).

  4. Zip all of these files into a file named to create your deployment package. For step-by-step instructions, see Creating a Deployment Package (Python).


To use Python Redis, see Python Redis.

Next Step

Step 2.2: Create the Execution Role (IAM Role)

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