Amazon Cognito
Developer Guide (Version Last Updated: 07/28/2016)

Creating and Running the Amazon Cognito User Pool Import Job

This section describes how to create and run the user pool import job by using the Amazon Cognito console and the AWS Command Line Interface.

Importing Users from a .csv File By Using the Amazon Cognito Console

The following procedure describes how to import the users from the .csv file.

To import users from the .csv file by using the Amazon Cognito console

  1. Choose Create import job.

  2. Type a Job name. Job names can contain uppercase and lowercase letters (a-z, A-Z), numbers (0-9), and the following special characters: + = , . @ and -.

  3. If this is your first time creating a user import job, the AWS Management Console will automatically create an IAM role for you. Otherwise, you can choose an existing role from the IAM Role list or let the AWS Management Console create a new role for you.

  4. Choose Upload CSV and select the .csv file to import users from.

  5. Choose Create job.

  6. To start the job, choose Start.

Importing Users By Using the AWS CLI

The following CLI commands are available for importing users into a user pool:

  • create-user-import-job

  • get-csv-header

  • describe-user-import-job

  • list-user-import-jobs

  • start-user-import-job

  • stop-user-import-job

To get the list of command-line options for these commands, use the help command-line option. For example:

aws cognito-idp get-csv-header help

Creating a User Import Job

After you create your .csv file, create a user import job by running the following CLI command, where JOB_NAME is the name you're choosing for the job, USER_POOL_ID is the same user pool ID as before, and ROLE_ARN is the role ARN you received in Creating the CloudWatch Logs IAM Role:

aws cognito-idp create-user-import-job --job-name "JOB_NAME" --user-pool-id "USER_POOL_ID" --cloud-watch-logs-role-arn "ROLE_ARN"

The PRE_SIGNED_URL returned in the response is valid for 15 minutes. After that time, it will expire and you must create a new user import job to get a new URL.

Sample response:

{ "UserImportJob": { "Status": "Created", "SkippedUsers": 0, "UserPoolId": "USER_POOL_ID", "ImportedUsers": 0, "JobName": "JOB_NAME", "JobId": "JOB_ID", "PreSignedUrl": "PRE_SIGNED_URL", "CloudWatchLogsRoleArn": "ROLE_ARN", "FailedUsers": 0, "CreationDate": 1470957431.965 } }

Status Values for a User Import Job

In the responses to your user import commands, you'll see one of the following Status values:

  • "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 cannot be started.

Uploading the .csv File

Use the following curl command to upload the .csv file containing your user data to the pre-signed URL that you obtained from the response of the create-user-import-job command.

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

In the output of this command, look for the phrase "We are completely uploaded and fine". This phrase indicates that the file was uploaded successfully.

Describing a User Import Job

To get a description of your user import job, use the following command, where USER_POOL_ID is your user pool ID, and JOB_ID is the job ID that was returned when you created the user import job.

aws cognito-idp describe-user-import-job --user-pool-id "USER_POOL_ID" --job-id "JOB_ID"

Sample response:

{ "UserImportJob": { "Status": "Created", "SkippedUsers": 0, "UserPoolId": "USER_POOL_ID", "ImportedUsers": 0, "JobName": "JOB_NAME", "JobId": "JOB_ID", "PreSignedUrl": "PRE_SIGNED_URL", "CloudWatchLogsRoleArn":"ROLE_ARN", "FailedUsers": 0, "CreationDate": 1470957431.965 } }

In the preceding sample output, the PRE_SIGNED_URL is the URL that you uploaded the .csv file to. The ROLE_ARN is the CloudWatch Logs role ARN that you received when you created the role.

Listing Your User Import Jobs

To list your user import jobs, use the following command:

aws cognito-idp list-user-import-jobs --user-pool-id "USER_POOL_ID" --max-results 2

Sample response:

{ "UserImportJobs": [ { "Status": "Created", "SkippedUsers": 0, "UserPoolId": "USER_POOL_ID", "ImportedUsers": 0, "JobName": "JOB_NAME", "JobId": "JOB_ID", "PreSignedUrl":"PRE_SIGNED_URL", "CloudWatchLogsRoleArn":"ROLE_ARN", "FailedUsers": 0, "CreationDate": 1470957431.965 }, { "CompletionDate": 1470954227.701, "StartDate": 1470954226.086, "Status": "Failed", "UserPoolId": "USER_POOL_ID", "ImportedUsers": 0, "SkippedUsers": 0, "JobName": "JOB_NAME", "CompletionMessage": "Too many users have failed or been skipped during the import.", "JobId": "JOB_ID", "PreSignedUrl":"PRE_SIGNED_URL", "CloudWatchLogsRoleArn":"ROLE_ARN", "FailedUsers": 5, "CreationDate": 1470953929.313 } ], "PaginationToken": "PAGINATION_TOKEN" }

Jobs are listed in chronological order from last created to first created. The PAGINATION_TOKEN string after the second job indicates that there are additional results for this list command. To list the additional results, use the --pagination-token option as follows:

aws cognito-idp list-user-import-jobs --user-pool-id "USER_POOL_ID" --max-results 10 --pagination-token "PAGINATION_TOKEN"

Starting a User Import Job

To start a user import job, use the following command:

aws cognito-idp start-user-import-job --user-pool-id "USER_POOL_ID" --job-id "JOB_ID"

Only one user import job can be active at a time for a given user pool.

Sample response:

{ "UserImportJob": { "Status": "Pending", "StartDate": 1470957851.483, "UserPoolId": "USER_POOL_ID", "ImportedUsers": 0, "SkippedUsers": 0, "JobName": "JOB_NAME", "JobId": "JOB_ID", "PreSignedUrl":"PRE_SIGNED_URL", "CloudWatchLogsRoleArn": "ROLE_ARN", "FailedUsers": 0, "CreationDate": 1470957431.965 } }

Stopping a User Import Job

To stop a user import job while it is in progress, use the following command. After you stop the job, it cannot be restarted.

aws cognito-idp stop-user-import-job --user-pool-id "USER_POOL_ID" --job-id "JOB_ID"

Sample response:

{ "UserImportJob": { "CompletionDate": 1470958050.571, "StartDate": 1470958047.797, "Status": "Stopped", "UserPoolId": "USER_POOL_ID", "ImportedUsers": 0, "SkippedUsers": 0, "JobName": "JOB_NAME", "CompletionMessage": "The Import Job was stopped by the developer.", "JobId": "JOB_ID", "PreSignedUrl":"PRE_SIGNED_URL", "CloudWatchLogsRoleArn": "ROLE_ARN", "FailedUsers": 0, "CreationDate": 1470957972.387 } }