[Bug]: aws_appflow_flow perpetual diff when using task_type with value Map_all

[johnsonaj]

Terraform Core Version

1.7.4

AWS Provider Version

5.38.0

Affected Resource(s)

• aws_appflow_flow

Expected Behavior

Flow task should be able to use task_type with value Map_all without having a continuous diff on updates.

Actual Behavior

Using task_type with value Map_all produces a continuous diff when no changes are made

Relevant Error/Panic Output Snippet

No response

Terraform Configuration Files

resource "aws_appflow_flow" "test" {
  name = local.name

  source_flow_config {
    connector_type = "S3"
    source_connector_properties {
      s3 {
        bucket_name   = aws_s3_bucket_policy.test_source.bucket
        bucket_prefix = "flow"
      }
    }
  }

  destination_flow_config {
    connector_type = "S3"
    destination_connector_properties {
      s3 {
        bucket_name = aws_s3_bucket_policy.test_destination.bucket

        s3_output_format_config {
          prefix_config {
            prefix_type = "PATH"
          }
        }
      }
    }
  }

  task {
    source_fields     = [""]
    task_type         = "Map_all"

    connector_operator {
      s3 = "NO_OP"
    }
  }

  trigger_config {
    trigger_type = "Scheduled"

    trigger_properties {
      scheduled {
        data_pull_mode      = "Incremental"
        schedule_expression = "rate(3hours)"
      }
    }
  }
}

Steps to Reproduce

• terraform apply
• terraform plan

Debug Output

No response

Panic Output

No response

Important Factoids

No response

References

No response

Would you like to implement a fix?

None

[github-actions]

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[github-actions]

This functionality has been released in v5.39.0 of the Terraform AWS Provider. Please see the Terraform documentation on provider versioning or reach out if you need any assistance upgrading.

For further feature requests or bug reports with this functionality, please create a new GitHub issue following the template. Thank you!

[github-actions]

I'm going to lock this issue because it has been closed for 30 days ⏳. This helps our maintainers find and focus on the active issues.
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