[Concurrent Segment Search] Add support for CollectorManager wrapping with profiling with concurrent aggregation

[ticheng-aws]

Placeholder issue to support CollectorManager wrapping with profiling with concurrent aggregation flow (both for global and non-global aggregation). This will be a subtask for #7354.

In the multi-level aggregation profile with concurrent execution, the response’s collectors miss profiling aggregator information. This happens because the AggCollectorManager is not wrapped by the InternalProfileCollectorManager when the profile is enabled and concurrent execution takes place. To resolve the issue, we need to wrap all the sub-collectorManagers with the InternalProfileCollectorManager.

Example of a valid profile response with concurrent search enabled:

{
    ...
    "profile":
    {
        "shards":
        [
            {
                "id": "[3Z04lnEDTq6XiPVosv-tgA][index][0]",
                "inbound_network_time_in_millis": 0,
                "outbound_network_time_in_millis": 0,
                "searches":
                [
                    {
                        "query": [...],
                        "rewrite_time": 11001,
                        "collector":
                        [
                            {
                                "name": "QueryCollectorManager",
                                "reason": "search_multi",
                                "time_in_nanos": 3238624,
                                "reduce_time_in_nanos": 3601167,
                                "max_slice_time_in_nanos": 2177665,
                                "min_slice_time_in_nanos": 342251,
                                "avg_slice_time_in_nanos": 1712583,
                                "slice_count": 5,
                                "children":
                                [
                                    {
                                        "name": "SimpleTopDocsCollectorManager",
                                        "reason": "search_top_hits",
                                        "time_in_nanos": 1538416,
                                        "reduce_time_in_nanos": 684458,
                                        "max_slice_time_in_nanos": 326084,
                                        "min_slice_time_in_nanos": 184292,
                                        "avg_slice_time_in_nanos": 265216,
                                        "slice_count": 5
                                    },
                                    {
                                        "name": "NonGlobalAggCollectorManager",
                                        "reason": "aggregation",
                                        "time_in_nanos": 2255000,
                                        "reduce_time_in_nanos": 2838750,
                                        "max_slice_time_in_nanos": 1045209,
                                        "min_slice_time_in_nanos": 152250,
                                        "avg_slice_time_in_nanos": 826808,
                                        "slice_count": 5
                                    }
                                ]
                            }
                        ]
                    },
                    {
                        "query": [...],
                        "rewrite_time": 2833,
                        "collector":
                        [
                            {
                                "name": "GlobalAggCollectorManager",
                                "reason": "aggregation_global",
                                "time_in_nanos": 657625,
                                "reduce_time_in_nanos": 399416,
                                "max_slice_time_in_nanos": 503000,
                                "min_slice_time_in_nanos": 28999,
                                "avg_slice_time_in_nanos": 217357,
                                "slice_count": 5
                            }
                        ]
                    }
                ],
                "aggregations": [...]
            }
        ]
    }
}