select upper(trim(vm.client_id)) as wz ,item.key as gpu_model ,sum(item.value::int*p.value)/12. as gpu_h -- 5 minute sampling ,avg(item.value::int*p.value)*744 as gpu_ha -- 5 minute sampling from gpu.vm JOIN gpu.vm_power_state p on (vm.obj_uuid=p.obj_uuid) CROSS JOIN LATERAL jsonb_each(vm.gpu) AS item(key, value) where 1=1 AND p.ts >= '2026-07-01' AND p.ts < '2026-07-31' group by vm.client_id, item.key order by vm.client_id, item.key; --select * from gpu.vm_power_state limit 100; --select * from gpu.vm limit 100; select count(*), sum(value) from gpu.vm_power_state p where 1=1 AND p.ts >= '2026-07-01' AND p.ts < '2026-07-31' group by obj_uuid select item.key as gpu_model, case WHEN org_vdc LIKE '%-v1cl1%' THEN 'iaas.ngc.i29' WHEN org_vdc LIKE '%-v1cl2%' THEN 'iaas.ngc.i31' WHEN org_vdc LIKE '%-v1cl4%' THEN 'iaas.ngc.a28' WHEN org_vdc LIKE '%-v1cl5%' THEN 'iaas.ngc.a45' WHEN org_vdc LIKE '%-v1cl6%' THEN 'iaas.ngc.i28' WHEN org_vdc LIKE '%-v1cl7%' THEN 'iaas.ngc.a40' --WHEN org_vdc LIKE '%-v2cl2-1c%' THEN '1c' else '['||org_vdc||']' end as code from gpu.vm CROSS JOIN LATERAL jsonb_each(vm.gpu) AS item(key, value) group by item.key, code ORDER BY 1 select client_id, org, obj_id, org_vdc, item.key as gpu_model, item.value as gpu_cnt from gpu.vm CROSS JOIN LATERAL jsonb_each(vm.gpu) AS item(key, value) ORDER BY client_id, org, obj_id select count(distinct obj_id) as unique_vm_cnt, sum(p.value)/12. as vm_h, -- 5 minute sampling sum(p.value)/12.*32.18 as cost, sum(p.value)/12./744 as avg_month_vm -- в августе 744 часа from gpu.vm JOIN gpu.vm_power_state p on (vm.obj_uuid=p.obj_uuid) where 1=1 AND p.ts >= '2026-08-01' AND p.ts < '2026-08-31' AND vm.client_id='WZ01516' -- упражнение: посчитать, сколько средних ВМ, включенных круглые сутки, создаст такой же движ за время оказания сервиса select p.ts::date, count(distinct obj_id) as unique_vm_cnt, round((sum(p.value)/12.)::numeric,1) as vm_h, -- 5 minute sampling round((sum(p.value)/12.*32.18)::numeric,2) as cost, round((sum(p.value)/12./24)::numeric, 1) as avg_roundclock_vm from gpu.vm JOIN gpu.vm_power_state p on (vm.obj_uuid=p.obj_uuid) where 1=1 AND p.ts >= '2026-08-01' AND p.ts < '2026-08-31' AND vm.client_id='WZ01516' GROUP BY p.ts::date ORDER BY 1 select p.ts::date, count(distinct obj_id) as unique_vm_cnt, round((sum(p.value)/12.)::numeric,1) as vm_h, -- 5 minute sampling round((sum(p.value)/12.*32.18)::numeric,2) as cost, round((sum(p.value)/12.*32.18*(1-0.02*400/32.18))::numeric,2) as cost_wo_disk, round((count(distinct obj_id)*0.02*400*24)::numeric,2) as disk_cost_simplified, -- считаем все ВМ, включавшиеся за данные сутки round((sum(p.value)/12./24)::numeric, 1) as avg_roundclock_vm from gpu.vm JOIN gpu.vm_power_state p on (vm.obj_uuid=p.obj_uuid) where 1=1 AND p.ts >= '2026-08-01' AND p.ts < '2026-08-31' AND vm.client_id='WZ01516' GROUP BY p.ts::date ORDER BY 1 select p.ts::date, count(distinct obj_id) as unique_vm_cnt, (select count(distinct obj_id) from gpu.vm vm1 JOIN gpu.vm_power_state p1 on (vm1.obj_uuid=p1.obj_uuid) WHERE vm1.client_id='WZ01516' AND p1.ts <= p.ts::date) as unique_vm_acc, round((sum(p.value)/12.)::numeric,1) as vm_h, -- 5 minute sampling round((sum(p.value)/12.*32.18)::numeric,2) as cost, round((sum(p.value)/12.*32.18*(1-0.02*400/32.18))::numeric,2) as cost_wo_disk, round((count(distinct obj_id)*0.02*400*24)::numeric,2) as disk_cost_simplified, -- считаем все ВМ, включавшиеся за данные сутки round((sum(p.value)/12./24)::numeric, 1) as avg_roundclock_vm from gpu.vm JOIN gpu.vm_power_state p on (vm.obj_uuid=p.obj_uuid) where 1=1 AND p.ts >= '2026-08-01' AND p.ts < '2026-08-31' AND vm.client_id='WZ01516' GROUP BY p.ts::date ORDER BY 1 with daily as ( select p.ts::date as dt, count(distinct obj_id) as unique_vm_cnt, round((sum(p.value)/12.)::numeric,1) as vm_h, -- 5 minute sampling round((sum(p.value)/12.*32.18)::numeric,2) as cost, round((sum(p.value)/12.*32.18*(1-0.02*400/32.18))::numeric,2) as cost_wo_disk, round((count(distinct obj_id)*0.02*400*24)::numeric,2) as disk_cost_simplified, -- считаем все ВМ, включавшиеся за данные сутки round((sum(p.value)/12./24)::numeric, 1) as avg_roundclock_vm from gpu.vm JOIN gpu.vm_power_state p on (vm.obj_uuid=p.obj_uuid) where 1=1 AND p.ts >= '2026-08-01' AND p.ts < '2026-08-31' AND vm.client_id='WZ01516' GROUP BY p.ts::date ORDER BY 1 ), acc as (select p.ts::date as dt, count(distinct obj_id) as unique_vm_accum from gpu.vm JOIN gpu.vm_power_state p on (vm.obj_uuid=p.obj_uuid) WHERE vm.client_id='WZ01516' group by p.ts::date) select * from daily join acc on daily.dt<=acc.dt