initial
This commit is contained in:
msyu
@@ -0,0 +1,457 @@
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<cfset dt_finish=createDateTime(year(Now()),month(Now()),1,0,0,0)/>
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<cfset dt_start=dateAdd('m',-1,dt_finish)/>
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<cfset hours=dateDiff('h',dt_start,dt_finish)/>
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Внимание! округление вверх при расчете метрик
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<cfdump var=#dt_start#/>
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<cfdump var=#dt_finish#/>
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<cfdump var=#hours#/>
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<!--- Нужно еще применить политики бесплатного минимума --->
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<!---
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<cfquery name="qCode" datasource="dwh">
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select distinct p.code
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from elma.deals d
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join elma.deals_services siv on (d.__id=ANY(siv.deal))
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join elma.service_parametrs p on (p.__id = ANY(siv.params))
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join elma.companies k on (d._companies=k.__id)
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join elma.additional_agreements aa on (aa.__id = ANY(siv.additional_agreement))
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join elma.aggrements a on (aa.contract_uid = a.__id)
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where p.type=3 AND aa.is_actual
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order by p.code
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</cfquery>
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<cfdump var=#qCode#/>
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<cfquery name="qSpec" datasource="dwh">
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select k.id_klienta, p.code, p.price, p.discount, k.__name as contragent, a.__name as contract, d.__name as deal, siv.abstractive_service as abstract_service, siv.modifier, siv.user_description
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,p.__name as metric, p.ed_izm
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--, aa.is_actual
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from elma.deals d
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join elma.deals_services siv on (d.__id=ANY(siv.deal))
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join elma.service_parametrs p on (p.__id = ANY(siv.params))
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join elma.companies k on (d._companies=k.__id)
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join elma.additional_agreements aa on (aa.__id = ANY(siv.additional_agreement))
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join elma.aggrements a on (aa.contract_uid = a.__id)
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where p.type=3 AND aa.is_actual
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order by k.id_klienta, p.code
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</cfquery>
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здесь имеем список кодов с ценами и WZ. Каждому коду можно поставить в соответствие запрос, который даст по нему выборку. Изредка один запрос может вывести 2 кода, но разбить на 2 запроса легко. Кроме того, запросы можно объединить через union в один - может быть, так будет лучше читаться (быстрее выполняться не будет)
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<cfdump var=#qSpec#/>
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<cfquery name="qComputing" datasource="billing-vc">
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select 'WZ'||to_char(tenant.wzcode,'FM00000') as wz, vdc.name as vdc_name,
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case
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when vdc.name like '%-v1cl1-%' then 'iaas.ngc.i29'
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when vdc.name like '%-v1cl2-%' then 'iaas.ngc.i31'
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when vdc.name like '%-v1cl4-%' then 'iaas.ngc.a28'
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when vdc.name like '%-v1cl6-%' then 'iaas.ngc.i28'
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else 'unknown' end as code,
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sum(cpu_used/cpu_speed)/4. as core_h,
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sum(mem_used)/1024/4. as gb_h
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from ngcloud_ru.capacity_resource
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join ngcloud_ru.vdc on capacity_resource.vdc_id=vdc.id
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join ngcloud_ru.tenant on tenant.id=vdc.tenant_id
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where tenant.wzcode > 0
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AND capacity_resource.timestamp >= <cfqueryparam cfsqltype="cf_sql_timestamp" value=#dt_start#/>
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AND capacity_resource.timestamp < <cfqueryparam cfsqltype="cf_sql_timestamp" value=#dt_finish#/>
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group by tenant.wzcode, vdc.name
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order by tenant.wzcode, vdc.name;
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</cfquery>
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<cfdump var=#qComputing#/>
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<cfquery name="qStorage" datasource="billing-vc">
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select 'WZ'||to_char(tenant.wzcode,'FM00000') as wz, vdc.name as vdc_name,
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case
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when vdc.name like '%-v1cl1-%' then 'iaas.ngc.i29'
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when vdc.name like '%-v1cl2-%' then 'iaas.ngc.i31'
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when vdc.name like '%-v1cl4-%' then 'iaas.ngc.a28'
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when vdc.name like '%-v1cl6-%' then 'iaas.ngc.i28'
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else 'unknown' end as code,
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storage_profile_types.name as storage_profile_type_name,
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sum("limit")/1024./4 as gb_h_limit, -- 4 потому, что сбор раз в 15 минут
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sum(used)/1024./4 as gb_h_used
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from ngcloud_ru.capacity_storage
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join ngcloud_ru.vdc on capacity_storage.vdc_id=vdc.id
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join ngcloud_ru.tenant on tenant.id=vdc.tenant_id
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join ngcloud_ru.storage_profile_types on capacity_storage.storage_profile_types_id=storage_profile_types.id
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where tenant.wzcode > 0
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AND capacity_storage.timestamp >= <cfqueryparam cfsqltype="cf_sql_timestamp" value=#dt_start#/>
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AND capacity_storage.timestamp < <cfqueryparam cfsqltype="cf_sql_timestamp" value=#dt_finish#/>
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group by tenant.wzcode, vdc.name, storage_profile_types.name
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order by tenant.wzcode, vdc.name, storage_profile_types.name;
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</cfquery>
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<cfdump var=#qStorage#/>
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--->
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<!---
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"placement" "size_gb" "get_10k" "put_10k" "bytes_sent_gb"
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HOT_FREE_LIMIT 1 10 1 100
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--->
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<!--- надо дисконтировать не ГБ-часы а ГБ-месяцы --->
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<cfquery name="qS3Vol" datasource="billing-s3">
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select /* *** ниже дублирование кода агрегации round ceil etc, обратить внимание при правке */
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(sum(bucket_stat.usage_rgw_main_size_actual)/<cfqueryparam cfsqltype="cf_sql_integer" value=#hours#/>) as vol_B
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,round(sum(bucket_stat.usage_rgw_main_size_actual)/<cfqueryparam cfsqltype="cf_sql_integer" value=#hours#/>/1024/1024/1024) as vol_GB
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,greatest(round(sum(bucket_stat.usage_rgw_main_size_actual)/<cfqueryparam cfsqltype="cf_sql_integer" value=#hours#/>
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/1024/1024/1024)-
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case when bucket_stat.placement_id = 1 then 1 else 0 end, 0) as vol_GB_free_tier_substracted /*считается не в точности так, как в функции*/
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,case
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when bucket_stat.placement_id = 1 then 'paas.s3.ceph'
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when bucket_stat.placement_id = 2 then 'paas.s3.cphc'
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else 'unknown' end as code
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--,bucket_stat.placement_id
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,'WZ'||lpad(bucket_stat.owner, 5, '0') as wz -- *** здесь не число, а строка, поэтому другая формула обратной сборки WZ
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from s3billing.bucket_stat
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join s3billing.placement ON s3billing.placement.id=bucket_stat.placement_id
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join s3billing.bucket_info ON bucket_info.id=bucket_stat.bucket_id
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where bucket_stat.placement_id in (1,2)
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AND bucket_stat.timestamp_addition >= <cfqueryparam cfsqltype="cf_sql_timestamp" value=#dt_start#/>
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AND bucket_stat.timestamp_addition < <cfqueryparam cfsqltype="cf_sql_timestamp" value=#dt_finish#/>
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group by bucket_stat.owner, bucket_stat.placement_id
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order by bucket_stat.owner, bucket_stat.placement_id;
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</cfquery>
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<cfdump var=#qS3Vol#/>
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<cfquery name="qS3OpsTrf" datasource="billing-s3">
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select
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sum(
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CASE WHEN
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(category.name LIKE 'get%'
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OR category.name LIKE 'head%'
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OR category.name LIKE 'options%'
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) THEN ops ELSE 0 END
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) as get
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,ceil(sum(
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CASE WHEN
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(category.name LIKE 'get%'
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OR category.name LIKE 'head%'
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OR category.name LIKE 'options%'
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) THEN ops ELSE 0 END
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)/10000) as get_10k
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,greatest(ceil(sum(
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CASE WHEN
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(category.name LIKE 'get%'
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OR category.name LIKE 'head%'
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OR category.name LIKE 'options%'
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) THEN ops ELSE 0 END
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)/10000) - CASE WHEN bucket_info.placement_id = 1 THEN 10 ELSE 0 END, 0
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) as get_10k_free_tier_subtracted
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,sum(
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CASE WHEN
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(category.name LIKE 'put%'
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OR category.name LIKE 'post%'
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OR category.name LIKE 'patch%'
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OR category.name LIKE 'list%'
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) THEN ops ELSE 0 END
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) as put
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,ceil(sum(
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CASE WHEN
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(category.name LIKE 'put%'
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OR category.name LIKE 'post%'
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OR category.name LIKE 'patch%'
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OR category.name LIKE 'list%'
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) THEN ops ELSE 0 END
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)/10000) as put_10k
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,greatest(ceil(sum(
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CASE WHEN
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(category.name LIKE 'put%'
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OR category.name LIKE 'post%'
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OR category.name LIKE 'patch%'
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OR category.name LIKE 'list%'
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) THEN ops ELSE 0 END
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)/10000) - CASE WHEN bucket_info.placement_id = 1 THEN 1 ELSE 0 END, 0
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) as put_10k_free_tier_subtracted
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,(sum(bytes_sent)) as bytes_sent
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,ceil(sum(bytes_sent)/1024/1024/1024) as bytes_sent_GB
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,greatest(ceil(sum(bytes_sent)/1024/1024/1024) - CASE WHEN bucket_info.placement_id = 1 THEN 100 ELSE 0 END, 0
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) as bytes_sent_GB_free_tier_subtracted
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,case
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when bucket_info.placement_id = 1 then 'paas.s3.ceph'
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when bucket_info.placement_id = 2 then 'paas.s3.cphc'
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else 'unknown' end as code
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,bucket_info.placement_id
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--category.name, bucket_info.name
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,'WZ'||lpad(user_info.name, 5, '0') as wz
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from s3billing.usage_bucket_by_user
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join s3billing.user_info on usage_bucket_by_user.user_id=user_info.id
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join s3billing.category on usage_bucket_by_user.category_id=category.id
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join s3billing.bucket_info on usage_bucket_by_user.bucketid=bucket_info.id
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join s3billing.placement on bucket_info.placement_id=placement.id
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where 1=1
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AND usage_bucket_by_user.time >= <cfqueryparam cfsqltype="cf_sql_timestamp" value=#dt_start#/>
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AND usage_bucket_by_user.time < <cfqueryparam cfsqltype="cf_sql_timestamp" value=#dt_finish#/>
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group by user_info.name, bucket_info.placement_id
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order by user_info.name, bucket_info.placement_id;
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</cfquery>
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<cfdump var=#qS3OpsTrf#/>
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<!--- В одном месте user_id int в другом owner varchar --->
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<!--- Трафик хранится в той же таблице, что и остальной юзадж, можно было бы доставать в общем резалтсете
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<!--- расчет запихнут в функцию. Неделю этим не занимался - забыл все совершенно --->
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<cfquery name="qS3TrafficDefaultPlacement" datasource="billing-s3">
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select sum(bytes_sent) as bytes,
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--placement.name as placement,
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case
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when placement.name = 'COLD' then 'paas.s3.cphc'
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when placement.name = 'default-placement' then 'paas.s3.ceph'
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else 'unknown' end as code,
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'WZ'||lpad(user_info.name, 5, '0') as wz
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from s3billing.usage_bucket_by_user
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join s3billing.user_info on usage_bucket_by_user.user_id=user_info.id
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join s3billing.category on usage_bucket_by_user.category_id=category.id
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join s3billing.bucket_info on usage_bucket_by_user.bucketid=bucket_info.id
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join s3billing.placement on bucket_info.placement_id=placement.id
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where 1=1
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AND usage_bucket_by_user.time >= <cfqueryparam cfsqltype="cf_sql_timestamp" value=#dt_start#/>
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AND usage_bucket_by_user.time < <cfqueryparam cfsqltype="cf_sql_timestamp" value=#dt_finish#/>
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group by user_info.name, placement.name
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order by user_info.name;
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</cfquery>
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<cfdump var=#qS3TrafficDefaultPlacement#/> --->
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<!--- <cfquery name="qS3TrafficDefault" datasource="billing-s3">
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select sum(bytes_sent) as bytes,
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case
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when placement.name = 'COLD' then 'paas.s3.cphc'
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when placement.name = 'default-placement' then 'paas.s3.ceph'
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else 'unknown' end as code,
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'WZ'||lpad(user_info.name, 5, '0') as wz
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from s3billing.usage_bucket_by_user
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join s3billing.user_info on usage_bucket_by_user.user_id=user_info.id
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join s3billing.category on usage_bucket_by_user.category_id=category.id
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join s3billing.bucket_info on usage_bucket_by_user.bucketid=bucket_info.id
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join s3billing.placement on bucket_info.placement_id=placement.id AND placement.name='default-placement'
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where s3billing.usage_bucket_by_user.bucketid='0'
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AND usage_bucket_by_user.time >= <cfqueryparam cfsqltype="cf_sql_timestamp" value=#dt_start#/>
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AND usage_bucket_by_user.time < <cfqueryparam cfsqltype="cf_sql_timestamp" value=#dt_finish#/>
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group by user_info.name
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order by user_info.name;
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</cfquery>
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<cfdump var=#qS3TrafficDefault#/> --->
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<!---
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задача (вызванная сыростью базы биллинга)
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смапить код параметра с VDC (1:n)
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iaas.ngc.i31.ram-m
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iaas.ngc.a28.ram-m
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cl01:
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7 хостов Lenovo ThinkSystem SR650 -[7X06CTO1WW]-
|
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2 процессора Xeon(R) Gold 6226R 16 ядер 32 потока каждый 2.9 ГГц
|
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1.25тб озу в каждом.
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В 4 из 7 есть по 4 GPU NVIDIA A16 16GB в каждом.
|
||||
|
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cl01-vsan:
|
||||
16 хостов Lenovo ThinkSystem SR650 -[7X06CTO1WW]-
|
||||
2 процессора Xeon(R) Gold 6226R 16 ядер 32 потока каждый 2.9 ГГц
|
||||
1.25тб озу в каждом.
|
||||
В 9 из 16 есть по 4 GPU NVIDIA A16 16GB в каждом.
|
||||
|
||||
cl02:
|
||||
10 Huawei 2488H V5
|
||||
4 процессора Xeon(R) Gold 6254 18 ядер 36 потоков каждый. 3.1 ГГц
|
||||
2тб озу в каждом.
|
||||
|
||||
5 Huawei Atlas 800 (Model 3010)
|
||||
2 процессора Xeon(R) Gold 6254 18 ядер 36 потоков каждый. 3.1 ГГц
|
||||
1.5тб озу в каждом.
|
||||
|
||||
cl04-vsan:
|
||||
10 Apex AR320-12
|
||||
2 процессора AMD EPYC 7543 32 ядра 64 потока каждый. 2.8 ГГц
|
||||
2тб озу в каждом.
|
||||
18 Apex AR320-12-E7543
|
||||
2 процессора AMD EPYC 7543 32 ядра 64 потока каждый. 2.8 ГГц
|
||||
2тб озу в каждом.
|
||||
|
||||
cl05-1c:
|
||||
1 Asus RS720A-E12-RS24U
|
||||
2 процессора AMD EPYC 9274F 24 ядра 48 потоков каждый. 4.05 ГГц
|
||||
1тб озу.
|
||||
|
||||
7 ручная сборка
|
||||
MB Asus ProArt B650-Creator
|
||||
Процессор AMD Ryzen 9 7950X 16 ядер 32 потока каждый. 4.5 ГГц
|
||||
192гб озу каждый.
|
||||
|
||||
1 ручная сборка
|
||||
процессор AMD Ryzen Threadripper PRO 5995WX 64 ядра 128 потоков каждый. 2.7 ГГц
|
||||
512гб озу.
|
||||
|
||||
cl06-vsan:
|
||||
15 R320
|
||||
2 процессора Xeon(R) Gold 6342 24 ядра 48 потоков каждый. 2.8 ГГц
|
||||
1тб озу каждый.
|
||||
|
||||
Xeon(R) Gold 6226R 2.9 ГГц
|
||||
Xeon(R) Gold 6254 3.1 ГГц
|
||||
AMD EPYC 7543 2.8 ГГц
|
||||
AMD EPYC 9274F 4.05 ГГц
|
||||
AMD Ryzen 9 7950X 4.5 ГГц
|
||||
AMD Ryzen Threadripper PRO 5995WX 2.7 ГГц
|
||||
Xeon(R) Gold 6342 2.8 ГГц --->
|
||||
|
||||
<!--- 2025-08-15 20:47:44 *** Операции S3 считаются не так, как написано в тарифе. Например, считается list. В тарифе вообще не описан минимальный лимит --->
|
||||
|
||||
<!--- BEGIN
|
||||
RETURN QUERY
|
||||
(
|
||||
select
|
||||
billing_per_user_fix_pl.placement as placement,
|
||||
(CASE
|
||||
WHEN ( billing_per_user_fix_pl.placement = 'HOT'
|
||||
) THEN greatest(ceil(sum(size)/1024/1024/1024)-1,0)
|
||||
WHEN ( not billing_per_user_fix_pl.placement = 'HOT'
|
||||
) THEN ceil(sum(size)/1024/1024/1024)
|
||||
END) AS size_GB,
|
||||
(CASE
|
||||
WHEN ( billing_per_user_fix_pl.placement = 'HOT'
|
||||
) THEN greatest(ceil(sum(get)/10000)-10,0)
|
||||
WHEN ( not billing_per_user_fix_pl.placement = 'HOT'
|
||||
) THEN ceil(sum(get)/10000)
|
||||
END) AS get_10k,
|
||||
(CASE
|
||||
WHEN ( billing_per_user_fix_pl.placement = 'HOT'
|
||||
) THEN greatest(ceil(sum(put)/10000)-1,0)
|
||||
WHEN ( not billing_per_user_fix_pl.placement = 'HOT'
|
||||
) THEN ceil(sum(put)/10000)
|
||||
END) AS put_10k,
|
||||
(CASE
|
||||
WHEN ( billing_per_user_fix_pl.placement = 'HOT'
|
||||
) then greatest(ceil(sum(bytes_sent)/1024/1024/1024)-100,0)
|
||||
WHEN ( not billing_per_user_fix_pl.placement = 'HOT'
|
||||
) THEN ceil(sum(bytes_sent)/1024/1024/1024)
|
||||
END) AS bytes_sent_GB
|
||||
from s3billing.billing_per_user_fix_pl(_ds,_df,_user)
|
||||
group by billing_per_user_fix_pl.placement
|
||||
UNION all
|
||||
select
|
||||
'HOT_FREE_LIMIT' as placement,
|
||||
'1' AS size_GB,
|
||||
'10' AS get_10k,
|
||||
'1' AS put_10k,
|
||||
'100' AS bytes_sent_GB
|
||||
);
|
||||
END; --->
|
||||
|
||||
<!---
|
||||
BEGIN
|
||||
RETURN QUERY
|
||||
|
||||
SELECT
|
||||
s3billing.bucket_info.name AS bucket_name,
|
||||
(case
|
||||
when ( s3billing.placement.name = 'default-placement') then 'HOT'
|
||||
WHEN ( not s3billing.placement.name = 'default-placement' ) THEN s3billing.placement.name
|
||||
end
|
||||
) as placement,
|
||||
coalesce(round(sum(usage_rgw_main_size_actual)/
|
||||
(SELECT (DATE_PART('day',
|
||||
((TO_TIMESTAMP(_df, 'YYYY-MM-DD HH24:MI:SS'))
|
||||
-TO_TIMESTAMP(_ds, 'YYYY-MM-DD HH24:MI:SS'))
|
||||
)*24+
|
||||
DATE_PART('hour',
|
||||
((TO_TIMESTAMP(_df, 'YYYY-MM-DD HH24:MI:SS'))
|
||||
-TO_TIMESTAMP(_ds, 'YYYY-MM-DD HH24:MI:SS'))
|
||||
)))
|
||||
|
||||
)::numeric,0) AS size
|
||||
,coalesce(s2.get, 0) AS get
|
||||
,coalesce(s2.put, 0) AS put
|
||||
,coalesce(s2.bytes_sent, 0) as bytes_sent
|
||||
FROM s3billing.bucket_stat
|
||||
INNER JOIN s3billing.placement ON s3billing.bucket_stat.placement_id=s3billing.placement.id
|
||||
INNER JOIN s3billing.bucket_info ON s3billing.bucket_stat.bucket_id=s3billing.bucket_info.id
|
||||
LEFT JOIN (
|
||||
SELECT
|
||||
s1.bucket_id AS bucket_id
|
||||
,s1.bucket_name AS bucket_name,
|
||||
(case
|
||||
when ( s1.placement = 'default-placement') then 'HOT'
|
||||
WHEN ( not s1.placement = 'default-placement' ) THEN s1.placement
|
||||
end
|
||||
) as placement
|
||||
,coalesce(sum(s1.get) ,0) AS get
|
||||
,coalesce(sum(s1.put) ,0) AS put
|
||||
,coalesce(sum(s1.bytes_sent), 0) AS bytes_sent
|
||||
FROM (
|
||||
SELECT
|
||||
s3billing.bucket_info.id AS bucket_id
|
||||
,s3billing.bucket_info.name AS bucket_name
|
||||
,(case
|
||||
when ( s3billing.placement.name = 'default-placement') then 'HOT'
|
||||
WHEN ( not s3billing.placement.name = 'default-placement' ) THEN s3billing.placement.name
|
||||
end
|
||||
) as placement
|
||||
,(CASE
|
||||
WHEN ( s3billing.category.name LIKE 'get%'
|
||||
OR s3billing.category.name LIKE 'head%'
|
||||
OR s3billing.category.name LIKE 'options%'
|
||||
) THEN coalesce(sum(ops), 0)
|
||||
END) AS get
|
||||
,(CASE
|
||||
WHEN ( s3billing.category.name LIKE 'put%'
|
||||
OR s3billing.category.name LIKE 'post%'
|
||||
OR s3billing.category.name LIKE 'patch%'
|
||||
OR s3billing.category.name LIKE 'list%'
|
||||
) THEN coalesce(sum(ops), 0)
|
||||
END) AS put
|
||||
,coalesce(sum(usage_bucket_by_user.bytes_sent), 0) AS bytes_sent
|
||||
|
||||
FROM
|
||||
s3billing.usage_bucket_by_user
|
||||
INNER JOIN s3billing.bucket_info ON s3billing.usage_bucket_by_user.bucketid = s3billing.bucket_info.id
|
||||
INNER JOIN s3billing.placement ON s3billing.bucket_info.placement_id = s3billing.placement.id
|
||||
INNER JOIN s3billing.user_info ON s3billing.usage_bucket_by_user.user_id = s3billing.user_info.id
|
||||
INNER JOIN s3billing.category ON s3billing.usage_bucket_by_user.category_id = s3billing.category.id
|
||||
|
||||
WHERE
|
||||
s3billing.user_info.name=_user
|
||||
AND s3billing.usage_bucket_by_user.time >=TO_TIMESTAMP(_ds, 'YYYY-MM-DD HH24:MI:SS')
|
||||
AND s3billing.usage_bucket_by_user.time < TO_TIMESTAMP(_df, 'YYYY-MM-DD HH24:MI:SS')
|
||||
GROUP BY
|
||||
s3billing.bucket_info.name
|
||||
,s3billing.placement.name
|
||||
,s3billing.category.name
|
||||
,s3billing.bucket_info.id
|
||||
) AS s1
|
||||
|
||||
GROUP BY
|
||||
s1.bucket_name
|
||||
,s1.bucket_id
|
||||
,s1.placement
|
||||
|
||||
ORDER BY
|
||||
s1.placement
|
||||
,s1.bucket_name
|
||||
|
||||
) AS s2 ON s2.bucket_id = s3billing.bucket_stat.bucket_id
|
||||
WHERE owner=_user
|
||||
AND timestamp_addition >= TO_TIMESTAMP(_ds, 'YYYY-MM-DD HH24:MI:SS')
|
||||
AND timestamp_addition < TO_TIMESTAMP(_df, 'YYYY-MM-DD HH24:MI:SS')
|
||||
GROUP BY
|
||||
s3billing.bucket_info.name
|
||||
,s3billing.placement.name
|
||||
,s3billing.bucket_stat.bucket_id
|
||||
,s2.get
|
||||
,s2.put
|
||||
,s2.bytes_sent
|
||||
ORDER BY
|
||||
s3billing.placement.name
|
||||
,s3billing.bucket_info.name
|
||||
;
|
||||
END; --->
|
||||
<!--- select * from s3billing.billing_per_user_fix_pl('2025-05-01 00:00:00','2025-06-01 00:00:00','1395'); --->
|
||||
|
||||
Reference in New Issue
Block a user