[ aws . cognito-idp ]



Creates a user import job.


Amazon Cognito evaluates Identity and Access Management (IAM) policies in requests for this API operation. For this operation, you must use IAM credentials to authorize requests, and you must grant yourself the corresponding IAM permission in a policy.

Learn more

See also: AWS API Documentation


--job-name <value>
--user-pool-id <value>
--cloud-watch-logs-role-arn <value>
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]
[--endpoint-url <value>]
[--output <value>]
[--query <value>]
[--profile <value>]
[--region <value>]
[--version <value>]
[--color <value>]
[--ca-bundle <value>]
[--cli-read-timeout <value>]
[--cli-connect-timeout <value>]
[--cli-binary-format <value>]


--job-name (string)

The job name for the user import job.

--user-pool-id (string)

The user pool ID for the user pool that the users are being imported into.

--cloud-watch-logs-role-arn (string)

The role ARN for the Amazon CloudWatch Logs Logging role for the user import job.

--cli-input-json | --cli-input-yaml (string) Reads arguments from the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, those values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally. This may not be specified along with --cli-input-yaml.

--generate-cli-skeleton (string) Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. Similarly, if provided yaml-input it will print a sample input YAML that can be used with --cli-input-yaml. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command. The generated JSON skeleton is not stable between versions of the AWS CLI and there are no backwards compatibility guarantees in the JSON skeleton generated.

Global Options

--debug (boolean)

Turn on debug logging.

--endpoint-url (string)

Override command’s default URL with the given URL.

--no-verify-ssl (boolean)

By default, the AWS CLI uses SSL when communicating with AWS services. For each SSL connection, the AWS CLI will verify SSL certificates. This option overrides the default behavior of verifying SSL certificates.

--no-paginate (boolean)

Disable automatic pagination.

--output (string)

The formatting style for command output.

  • json
  • text
  • table
  • yaml
  • yaml-stream

--query (string)

A JMESPath query to use in filtering the response data.

--profile (string)

Use a specific profile from your credential file.

--region (string)

The region to use. Overrides config/env settings.

--version (string)

Display the version of this tool.

--color (string)

Turn on/off color output.

  • on
  • off
  • auto

--no-sign-request (boolean)

Do not sign requests. Credentials will not be loaded if this argument is provided.

--ca-bundle (string)

The CA certificate bundle to use when verifying SSL certificates. Overrides config/env settings.

--cli-read-timeout (int)

The maximum socket read time in seconds. If the value is set to 0, the socket read will be blocking and not timeout. The default value is 60 seconds.

--cli-connect-timeout (int)

The maximum socket connect time in seconds. If the value is set to 0, the socket connect will be blocking and not timeout. The default value is 60 seconds.

--cli-binary-format (string)

The formatting style to be used for binary blobs. The default format is base64. The base64 format expects binary blobs to be provided as a base64 encoded string. The raw-in-base64-out format preserves compatibility with AWS CLI V1 behavior and binary values must be passed literally. When providing contents from a file that map to a binary blob fileb:// will always be treated as binary and use the file contents directly regardless of the cli-binary-format setting. When using file:// the file contents will need to properly formatted for the configured cli-binary-format.

  • base64
  • raw-in-base64-out

--no-cli-pager (boolean)

Disable cli pager for output.

--cli-auto-prompt (boolean)

Automatically prompt for CLI input parameters.

--no-cli-auto-prompt (boolean)

Disable automatically prompt for CLI input parameters.



To use the following examples, you must have the AWS CLI installed and configured. See the Getting started guide in the AWS CLI User Guide for more information.

Unless otherwise stated, all examples have unix-like quotation rules. These examples will need to be adapted to your terminal’s quoting rules. See Using quotation marks with strings in the AWS CLI User Guide .

To create a user import job

This example creates a user import job named MyImportJob.

For more information about importing users, see Importing Users into User Pools From a CSV File.


aws cognito-idp create-user-import-job --user-pool-id us-west-2_aaaaaaaaa --job-name MyImportJob --cloud-watch-logs-role-arn arn:aws:iam::111111111111:role/CognitoCloudWatchLogsRole


  "UserImportJob": {
      "JobName": "MyImportJob",
      "JobId": "import-qQ0DCt2fRh",
      "UserPoolId": "us-west-2_aaaaaaaaa",
      "PreSignedUrl": "PRE_SIGNED_URL",
      "CreationDate": 1548271795.471,
      "Status": "Created",
      "CloudWatchLogsRoleArn": "arn:aws:iam::111111111111:role/CognitoCloudWatchLogsRole",
      "ImportedUsers": 0,
      "SkippedUsers": 0,
      "FailedUsers": 0

Upload the .csv file with curl using the pre-signed URL:


curl -v -T "PATH_TO_CSV_FILE" -H "x-amz-server-side-encryption:aws:kms" "PRE_SIGNED_URL"


UserImportJob -> (structure)

The job object that represents the user import job.

JobName -> (string)

The job name for the user import job.

JobId -> (string)

The job ID for the user import job.

UserPoolId -> (string)

The user pool ID for the user pool that the users are being imported into.

PreSignedUrl -> (string)

The pre-signed URL to be used to upload the .csv file.

CreationDate -> (timestamp)

The date and time when the item was created. Amazon Cognito returns this timestamp in UNIX epoch time format. Your SDK might render the output in a human-readable format like ISO 8601 or a Java Date object.

StartDate -> (timestamp)

The date when the user import job was started.

CompletionDate -> (timestamp)

The date when the user import job was completed.

Status -> (string)

The status of the user import job. One of the following:

  • Created - The job was created but not started.
  • Pending - A transition state. You have started the job, but it has not begun importing users yet.
  • InProgress - The job has started, and users are being imported.
  • Stopping - You have stopped the job, but the job has not stopped importing users yet.
  • Stopped - You have stopped the job, and the job has stopped importing users.
  • Succeeded - The job has completed successfully.
  • Failed - The job has stopped due to an error.
  • Expired - You created a job, but did not start the job within 24-48 hours. All data associated with the job was deleted, and the job can’t be started.

CloudWatchLogsRoleArn -> (string)

The role Amazon Resource Name (ARN) for the Amazon CloudWatch Logging role for the user import job. For more information, see “Creating the CloudWatch Logs IAM Role” in the Amazon Cognito Developer Guide.

ImportedUsers -> (long)

The number of users that were successfully imported.

SkippedUsers -> (long)

The number of users that were skipped.

FailedUsers -> (long)

The number of users that couldn’t be imported.

CompletionMessage -> (string)

The message returned when the user import job is completed.