Invoking functions locally

You can invoke your function locally by using the sam local invoke command and providing its function logical ID and an event file. Alternatively, sam local invoke also accepts stdin as an event. For more information about events, see Event in the AWS Lambda Developer Guide. For details about event message formats from different AWS services, see Working with other services in the AWS Lambda Developer Guide.

Note

The sam local invoke command described in this section corresponds to the AWS CLI command aws lambda invoke. You can use either version of this command to invoke a Lambda function that you've uploaded to the AWS Cloud.

You must execute sam local invoke in the project directory containing the function you want to invoke.

Examples:

# Invoking function with event file
$ sam local invoke "Ratings" -e event.json

# Invoking function with event via stdin
$ echo '{"message": "Hey, are you there?" }' | sam local invoke --event - "Ratings"

# For more options
$ sam local invoke --help

Environment variable file

You can use the --env-vars argument with the invoke or start-api commands. You do this to provide a JSON file that contains values to override the environment variables that are already defined in your function template. You can structure the file as follows:

{
  "MyFunction1": {
    "TABLE_NAME": "localtable",
    "BUCKET_NAME": "testBucket"
  },
  "MyFunction2": {
    "TABLE_NAME": "localtable",
    "STAGE": "dev"
  }
}

Alternatively, your environment file can contain a single Parameters entry with the environment variables for all functions. Note that you can't mix this format with the example above.

{
  "Parameters": {
    "TABLE_NAME": "localtable",
    "BUCKET_NAME": "testBucket",
    "STAGE": "dev"
  }
}

Save your environment variables in a file named env.json. The following command uses this file to override the included environment variables:

sam local invoke --env-vars env.json

Layers

If your application includes layers, see Working with layers for more information about how to debug layers issues on your local host.