DEFINE{query_name 'throughput_ue';
	extra_keys 'TS';
	max_lfta_disorder '1'; max_hfta_disorder '1';
	comment 'throughput experienced by UE over a measurement interval.   *Active* throughput is throughput while actively downloading, *average* averages bytes transfered over the measurement interval';
}
PARAM{ window uint; }
select ($window*(TB+1))/1000 as TS, e_RAB_ID, UE_ID, GNB_ID,
       $window/1000.0 as measurementInterval,

		sum(usageCountDL) / UMAX( sum( endian_swap_ui(UINT(endTimeStamp)) - endian_swap_ui(UINT(startTimeStamp))), 1)  as active_throughput,

		sum(usageCountDL) / UMAX( max( endian_swap_ui(UINT(endTimeStamp))) - min(endian_swap_ui(UINT(startTimeStamp))), 1)  as average_throughput,

		min( usageCountDL / UMAX( endian_swap_ui(UINT(endTimeStamp)) - endian_swap_ui(UINT(startTimeStamp)), 1) ) as min_throughput,

		max( usageCountDL / UMAX( endian_swap_ui(UINT(endTimeStamp)) - endian_swap_ui(UINT(startTimeStamp)), 1) ) as max_throughput
from RATDATAUSAGE.rat_data_usage
group by e_RAB_ID, id_SgNB_UE_X2AP_ID as UE_ID, gnb_id as GNB_ID,
	timestamp_ms/$window as TB
;

DEFINE{query_name 'prelim_throughput_gtp_teid';
	extra_keys 'TB';
	max_lfta_disorder '1'; max_hfta_disorder '1';
	comment 'pre-aggregation to get per-teid throughput';
}
PARAM{ window uint; }
select TB, GNB_UE_ID, GNB_ID, e_RAB_ID,
	sum(usageCountDL)  as sum_usageCountDL,
	sum( endian_swap_ui(UINT(endTimeStamp)) - endian_swap_ui(UINT(startTimeStamp)))  as sum_duration,
	 max( endian_swap_ui(UINT(endTimeStamp))) as max_end_ts,
	 min(endian_swap_ui(UINT(startTimeStamp))) as min_start_ts,
	min( usageCountDL / UMAX( endian_swap_ui(UINT(endTimeStamp)) - endian_swap_ui(UINT(startTimeStamp)), 1) ) as min_throughput,
	max( usageCountDL / UMAX( endian_swap_ui(UINT(endTimeStamp)) - endian_swap_ui(UINT(startTimeStamp)), 1) ) as max_throughput
from RATDATAUSAGE.rat_data_usage
group by id_SgNB_UE_X2AP_ID as GNB_UE_ID, gnb_id as GNB_ID, e_RAB_ID, timestamp_ms/$window as TB
;

DEFINE{query_name 'throughput_ue_gtp_teid_join';
	max_lfta_disorder '1'; max_hfta_disorder '1';
	comment 'Join throughput_ue with gnb_ueid_teid_map to get the gtp_teid, a followup query will reaggregate';
}
PARAM{ window uint; }
select T.TB, T.GNB_UE_ID, T.GNB_ID, T.e_RAB_ID, M.gTP_TEID,
	T.sum_usageCountDL, T.sum_duration, T.max_end_ts, T.min_start_ts,
	T.min_throughput, max_throughput
INNER_JOIN from prelim_throughput_gtp_teid T, gnb_ueid_teid_map M
Where T.GNB_ID=M.GNB_ID and T.GNB_UE_ID=M.id_SgNB_UE_X2AP_ID and T.TB=M.TB
;

DEFINE{query_name 'throughput_gtp_teid';
	extra_keys 'TS';
	max_lfta_disorder '1'; max_hfta_disorder '1';
	comment 'throughput experienced by UE, as determined by the gtp_teid, over a measurement interval.   *Active* throughput is throughput while actively downloading, *average* averages bytes transfered over the measurement interval';
}
PARAM{ window uint; }
select ($window*(TB+1))/1000 as TS, gTP_TEID, GNB_ID,
       $window/1000.0 as measurementInterval,
		sum(sum_usageCountDL) / UMAX( sum(sum_duration), 1)  as active_throughput,
		sum(sum_usageCountDL) / UMAX( max(max_end_ts) - min(min_start_ts), 1)  as average_throughput,
		min( min_throughput ) as min_throughput,
		max( max_throughput ) as max_throughput
from throughput_ue_gtp_teid_join
group by  GNB_ID, gTP_TEID, TB
;

DEFINE{query_name 'throughput_gtp_teid_bearer';
	extra_keys 'TS';
	max_lfta_disorder '1'; max_hfta_disorder '1';
	comment 'throughput experienced by UE, as determined by the gtp_teid, for a bearer (eRAB_ID) over a measurement interval.   *Active* throughput is throughput while actively downloading, *average* averages bytes transfered over the measurement interval';
}
PARAM{ window uint; }
select ($window*(TB+1))/1000 as TS, gTP_TEID, GNB_ID, e_RAB_ID,
       $window/1000.0 as measurementInterval,
		sum(sum_usageCountDL) / UMAX( sum(sum_duration), 1)  as active_throughput,
		sum(sum_usageCountDL) / UMAX( max(max_end_ts) - min(min_start_ts), 1)  as average_throughput,
		min( min_throughput ) as min_throughput,
		max( max_throughput ) as max_throughput
from throughput_ue_gtp_teid_join
group by  GNB_ID, gTP_TEID, e_RAB_ID, TB
;

// -----------------------------------------

DEFINE{query_name 'add_req_event';
	max_lfta_disorder '1'; max_hfta_disorder '1';
	comment 'addition_request event, for merging into qci-arp map';
}
PARAM{ window uint;}
Select timestamp_ms, id_MeNB_UE_X2AP_ID, LLONG(0) as id_SgNB_UE_X2AP_ID, gnb_id,
	qCI,  priorityLevel as ARP, 0 as event_type
from SGNB_ADDITION_REQ.sgnb_addreq_for_ue_bearers R
;

DEFINE{query_name 'add_req_ack_event';
	max_lfta_disorder '1'; max_hfta_disorder '1';
	comment 'addition_request_acknowledge event, for merging into qci-arp map';
}
PARAM{ window uint;}
Select timestamp_ms, id_MeNB_UE_X2AP_ID, id_SgNB_UE_X2AP_ID, gnb_id,
	LLONG(0) as qCI,  LLONG(0) as ARP, 1 as event_type
From SGNB_ADDITION_REQ_ACK.eRABs_acked_for_admit_for_ue A
;

DEFINE{query_name 'add_req_events';
	max_lfta_disorder '1'; max_hfta_disorder '1';
	comment 'addition_request / acknowledge events';
}
PARAM{ window uint;}
Merge R.timestamp_ms : A.timestamp_ms
From add_req_event R, add_req_ack_event A
;

DEFINE{query_name 'gnb_ueid_qci_arp_map';
	max_lfta_disorder '1'; max_hfta_disorder '1';
	comment 'Output the last known map from (gnb, gnb_ueid) to (qci, arp)';
}
PARAM{ window uint;}
Select TB, GNB_ID, id_MeNB_UE_X2AP_ID, LAST(id_SgNB_UE_X2AP_ID) as id_SgNB_UE_X2AP_ID,
	FIRST(qCI) as qCI, FIRST(ARP) as ARP
From add_req_events
GROUP BY timestamp_ms / $window as TB, id_MeNB_UE_X2AP_ID, gnb_id as GNB_ID
Having LAST(event_type) = 1
CLOSING_WHEN ((TB+1)*$window-LAST(timestamp_ms))/1000.0 >= 3600
;


-- DEFINE{query_name 'gueid_to_qciarp_join';
-- 	max_lfta_disorder '1'; max_hfta_disorder '1';
-- 	comment 'get gnb_ueid to qci,arp mapping, gnb_ueid is in sgnb addition request acknowledge, qci,arp is in sgnb addition request';
-- }
-- PARAM{ window uint;}
-- Select A.timestamp_ms/$window as TB,
-- 	non_temporal(A.timestamp_ms) as timestamp_ms,
-- 	R.id_MeNB_UE_X2AP_ID, A.id_SgNB_UE_X2AP_ID, A.gnb_id,
-- 	R.qCI, R.priorityLevel as ARP
-- INNER_JOIN from SGNB_ADDITION_REQ.sgnb_addreq_for_ue_bearers R,
--               SGNB_ADDITION_REQ_ACK.eRABs_acked_for_admit_for_ue A
-- Where A.timestamp_ms/$window = R.timestamp_ms/$window and
-- 	A.gnb_id = R.gnb_id and A.id_MeNB_UE_X2AP_ID = R.id_MeNB_UE_X2AP_ID
-- --	AND R.PCI = A.PCI
-- ;

-- DEFINE{query_name 'gnb_ueid_qci_arp_map';
-- 	max_lfta_disorder '1'; max_hfta_disorder '1';
-- 	comment 'Output the last known map from (gnb, gnb_ueid) to (qci, arp)';
-- }
-- PARAM{ window uint;}
-- Select TB, GNB_ID, id_SgNB_UE_X2AP_ID, LAST(qCI) as qCI, LAST(ARP) as ARP
-- from gueid_to_qciarp_join
-- --from SGNB_ADDITION_REQ_ACK.eRABs_acked_for_admit_for_ue
-- group by TB, gnb_id as GNB_ID, id_SgNB_UE_X2AP_ID
-- CLOSING_WHEN ((TB+1)*$window-LAST(timestamp_ms))/1000.0 >= 3600
-- ;

DEFINE{query_name 'throughput_ue_userclass_join';
	max_lfta_disorder '1'; max_hfta_disorder '1';
	comment 'Join throughput_ue with gnb_ueid_teid_map to get the gtp_tied, a followup query will reaggregate';
}
PARAM{ window uint; }
select T.TB, T.GNB_UE_ID, T.GNB_ID,
	EQ(qCI, 9)*EQ(M.ARP, 15) + 2*EQ(qCI, 8)*EQ(M.ARP, 15) as class,
	T.sum_usageCountDL, T.sum_duration, T.max_end_ts, T.min_start_ts,
	T.min_throughput, max_throughput
INNER_JOIN from prelim_throughput_gtp_teid T, gnb_ueid_qci_arp_map M
Where T.GNB_ID=M.GNB_ID and T.GNB_UE_ID=M.id_SgNB_UE_X2AP_ID
	and T.TB=M.TB
;

DEFINE{query_name 'throughput_userclass';
	extra_keys 'TS';
	max_lfta_disorder '1'; max_hfta_disorder '1';
	comment 'throughput experienced by UE, rolled up into user classes, over a measurement interval.  Class A (qci=9, arp=15) is class=1 and Class B  (qci=8, arp=15) is class=2.   *Active* throughput is throughput while actively downloading, *average* averages bytes transfered over the measurement interval';
}
PARAM{ window uint; }
select ($window*(TB+1))/1000 as TS, GNB_ID, class as CLASS,
       $window/1000.0 as measurementInterval,
		sum(sum_usageCountDL) / UMAX( sum(sum_duration), 1)  as active_throughput,
		sum(sum_usageCountDL) / UMAX( max(max_end_ts) - min(min_start_ts), 1)  as average_throughput,
		min( min_throughput ) as min_throughput,
		max( max_throughput ) as max_throughput
from throughput_ue_userclass_join
//where class>0
group by  TB, GNB_ID, class
;



DEFINE{query_name 'throughput_rollup';
	extra_keys 'TS';
	max_lfta_disorder '1'; max_hfta_disorder '1';
	comment 'statistics on the per-UE throughput';
}
PARAM{ window uint; }
select TS, e_RAB_ID, GNB_ID,
       $window/1000.0 as measurementInterval,
	count(*) as count_ues,
	quantile_of( UINT(average_throughput), .05) as average_throughput_percentile_05,
	quantile_of( UINT(average_throughput), .50) as average_throughput_percentile_50,
	avg( average_throughput) as average_average_throughput,
	quantile_of( UINT(average_throughput), .95) as average_throughput_percentile_95,
	quantile_of( UINT(active_throughput), .05) as active_throughput_percentile_05,
	quantile_of( UINT(active_throughput), .50) as active_throughput_percentile_50,
	avg( active_throughput) as average_active_throughput,
	quantile_of( UINT(active_throughput), .95) as active_throughput_percentile_95
from throughput_ue
group by TS, e_RAB_ID, GNB_ID
;

DEFINE{query_name 'throughput_gnb';
	max_lfta_disorder '1'; max_hfta_disorder '1';
	comment 'throughput experienced by a GNB over a measurement interval.   *Active* throughput is throughput while actively downloading, *average* averages bytes transfered over the measurement interval';
}
PARAM{ window uint; }
select ($window*(TB+1))/1000 as TS, e_RAB_ID, GNB_ID,
       $window/1000.0 as measurementInterval,

		sum(usageCountDL) / UMAX( sum( endian_swap_ui(UINT(endTimeStamp)) - endian_swap_ui(UINT(startTimeStamp))), 1)  as active_throughput,

		sum(usageCountDL) / UMAX( max( endian_swap_ui(UINT(endTimeStamp))) - min(endian_swap_ui(UINT(startTimeStamp))), 1)  as average_throughput,

		min( usageCountDL / UMAX( endian_swap_ui(UINT(endTimeStamp)) - endian_swap_ui(UINT(startTimeStamp)), 1) ) as min_throughput,

		max( usageCountDL / UMAX( endian_swap_ui(UINT(endTimeStamp)) - endian_swap_ui(UINT(startTimeStamp)), 1) ) as max_throughput,

		quantile_of( UINT( (usageCountDL) / UMAX( endian_swap_ui(UINT(endTimeStamp)) - endian_swap_ui(UINT(startTimeStamp)), 1)), .05) as active_throughput_percentile_05,

		quantile_of( UINT( (usageCountDL) / UMAX( endian_swap_ui(UINT(endTimeStamp)) - endian_swap_ui(UINT(startTimeStamp)), 1)), .95) as active_throughput_percentile_95

from RATDATAUSAGE.rat_data_usage
group by e_RAB_ID, gnb_id as GNB_ID, timestamp_ms/$window as TB