AWS Lambda Scheduled Tasks

Question

Amazon announced AWS Lambda (http://aws.amazon.com/lambda/).

The product description includes:

Scheduled Tasks

AWS Lambda functions can be triggered by external event timers, so functions can be run during regularly scheduled maintenance times or non-peak hours. For example, you can trigger an AWS Lambda function to perform nightly archive cleanups during non-busy hours.

When I read this, I understood I could finally have a way to consistently do "cron-like" tasks. I want to run a specific query everyday at 5PM let's say.

However I do not find this anywhere in the documentation. They only mention triggers on programatical events, or events from other AWS services.

Did I misunderstand? Or can someone point me to the documentation?

Answer 1

Native Support for Scheduled Events added October 8, 2015:

As announced in this AWS blog post, scheduling is now supported as an event source type (also called triggers) called "CloudWatch Events - Schedule", and can be expressed as a rate or a cron expression.

Add Scheduled Event to a new lambda

Navigate to the 'Configure triggers' step of creation, and specify the 'CloudWatch Event - Schedule' trigger. Example configuration below:

Add Scheduled Event to an existing lambda

Navigate to the 'Triggers' tab of your lambda, select 'Add Trigger', and specify the 'CloudWatch Event - Schedule' trigger. Example screenshot where I have an existing lambda with an SNS trigger:

Once loaded, the UI to configure this trigger is identical to the screenshot in the above "Add Scheduled Event to a new lambda" section above.

Discussion

For your example case, you'll want to use cron() instead of rate(). Cron expressions in lambda require all fields and are expressed in UTC. So to run a function every day at 5pm (UTC), use the following cron expression:

cron(0 17 * * ? *)

Further Resources

• AWS Documentation - Schedule Expressions Using Rate or Cron
• AWS Documentation - Run an AWS Lambda Function on a Schedule Using the AWS CLI
• AWS Documentation - Tutorial: Using AWS Lambda with Scheduled Events
  • AWS has provided a sample "blueprint" that uses a cron expression called lambda-canary that can be selected during function creation from the AWS console.
  • This tutorial walks you through configuration of this blueprint.

Notes

• The name of this event type has changed from "Scheduled Event" to "CloudWatch Events - Schedule" since this feature was first released.
• Prior to the release of this feature, the recommended solution to this issue (per "Getting Started with AWS Lambda" at 42min 50secs) was to use SWF to create a timer, or to create a timer with an external application.
• The Lambda UI has been overhauled since the scheduled event blog post came out, and the screenshots within are no longer exact. See my updated screenshots above from 3/10/2017 for latest revisions.

Answer 2

Since it is now easily possible to trigger lambda functions over HTTP (e.g. using GET or curl) a simple solution is to use a managed CRON like easycron: https://www.easycron.com/ to trigger your lambda function into running.

We had the same problem and ended up running a cron service on Google App Engine in python since this allowed for more flexibility and complexity in the CRON job itself.

Answer 3

Diksha is AWS Lambda Scheduler based on AWS SWF Trigger as recommended by AWS Team. One can schedule jobs using cron expressions and can also specify how many time you want to run, when to start or when to end. You can view status as well as history of scheduled jobs. Security is managed by AWS policies.

Once you set up diksha engine, you can schedule functions using cron expression in following way:

java -jar diksha-client-0.0.1.jar -lcfg cf1 -cj "jobName|functionName|context|0 0-59 * * * *|10"

In this job job will run every minute for 10 times. AWS SWF will trigger function by itself.

Details: https://github.com/milindparikh/diksha

Disclaimer: I am contributor to the project.

Answer 4

In the Function page, Add trigger, you can add a CloudWatch Events, and make it as a schedule type

Answer 5

While creating the lambda function create trigger "CloudWatch Events - Schedule"

Now you can either use AWS presets in schedule expression like rate = 15 min or you can use a cron expression.

For your requirement the Cron Schedule is "0 0 17 1/1 * ? *"

Answer 6

NEW SOLUTION: Lambda Scheduled Jobs

Werner Vogel has announced tonight (10/08) at re:Invent that AWS Lambda now has it's own scheduler.

Se the AWS Lambda release note on 2015-10-08 :

You can also set up AWS Lambda to invoke your code on a regular, scheduled basis using the AWS Lambda console. You can specify a fixed rate (number of hours, days, or weeks) or you can specify a cron expression. For an example, see Walkthrough 5: Using Lambda Functions to Process Scheduled Events (Python).

---

OLD SOLUTION: Scheduling with AWS Data Pipeline

You can use AWS Data Pipeline to schedule a task with a given period. The action can be any command when you configure your Pipeline with the ShellCommandActivity.

You can for example run an AWS CLI command to:

• Put a message to SQS
• or directly invoke a Lambda function (see invoke)

---

You can easily create the AWS Data Pipeline scheduled task directly within AWS console (e.g. with an AWS CLI command) :

You can also use the API to define your scheduling:

{
 "pipelineId": "df-0937003356ZJEXAMPLE",
 "pipelineObjects": [
    {
      "id": "Schedule",
      "name": "Schedule",
      "fields": [
        { "key": "startDateTime", "stringValue": "2012-12-12T00:00:00" }, 
        { "key": "type", "stringValue": "Schedule" }, 
        { "key": "period", "stringValue": "1 hour" }, 
        { "key": "endDateTime", "stringValue": "2012-12-21T18:00:00"  }
       ]
     }, {
      "id": "DoSomething",
      "name": "DoSomething",
      "fields": [
        { "key": "type", "stringValue": "ShellCommandActivity" },
        { "key": "command", "stringValue": "echo hello" },
        { "key": "schedule", "refValue": "Schedule" }
      ]
    }
  ]
}

---

Limits: Minimum scheduling interval is 15 minutes.
Pricing: About $1.00 per month.