可以在AWS DMS任务设置中配置load-order和parallel-load参数，使得两者联合使用。

例如，以下代码设置了一个DMS任务，使用load-order和parallel-load：

{
    "Type": "AWS::DMS::ReplicationTask",
    "Properties": {
        "MigrationType": "full-load-and-cdc",
        "ReplicationInstanceArn": "arn:aws:dms:us-west-2:123456789012:rep:QVKV55HLW4F3R3UJ7W7YBCWYBI",
        "ReplicationTaskIdentifier": "my-full-load-task",
        "SourceEndpointArn": "arn:aws:dms:us-west-2:123456789012:endpoint:45IIOFJZ43H6QVDY4BBPT6UREE",
        "TableMappings": "{\"TableMappings\":\"{\\\"rules\\\": []}\"}",
        "TargetEndpointArn": "arn:aws:dms:us-west-2:123456789012:endpoint:7WVVV28RYZSQQZYUW7ENFTQJXI",
        "FullLoadSettings": {
            "TargetTablePrepMode": "DO_NOTHING",
            "MaxFullLoadSubTasks": 4,
            "TransactionConsistencyTimeout": 600,
            "ParallelLoadThreads": 8,
            "LoadOrder": [
                "Customers",
                "Orders",
                "Payment",
                "Shipment"
            ],
            "ControlTablesSettings": {
                "historyTimeslot": "30",
                "controlSchema": "cdc",
                "historyTableEnabled": "Y",
                "intervalMillis": "5000",
                "suspendedTablesTableEnabled": "Y",
                "statusTableEnabled": "Y"
            },
            "Logging": {
                "EnableLogging": false
            }
        }
    }
}

在FullLoadSettings中，load-order指定了在全量加载过程中表格的加载顺序，而parallel-load指定了在每个子任务中同时加载的线程数。通过同时使用这两个参数，可以最大化DMS任务的效率。