9

ROLLUPグループ化中に句を使用している Sql Server クエリがあります。Postgres で同等のクエリが必要です。SQL Server のクエリは次のとおりです。

SELECT (CASE WHEN acnt_dba_name Is Null THEN 'Total' ELSE acnt_dba_name END) as account,
       (CASE WHEN evt_name Is Null THEN '' ELSE evt_name END) as event, 
       COUNT(CASE reg_is_complete WHEN true THEN 1 ELSE Null END) as regsComplete,
       COUNT(CASE WHEN reg_frn_pro_id > 0 AND reg_is_complete = false THEN 1 ELSE Null END) as regsInComplete,
       COUNT(CASE WHEN reg_frn_pro_id > 0 THEN Null ELSE 1 END) as regsClicks
FROM      registrations_view 
LEFT JOIN events ON (evt_id = reg_frn_evt_id)
LEFT JOIN accounts ON (acnt_id = evt_frn_acnt_id)
WHERE reg_date_created < #CreateODBCDate(url.endDate)#
AND   reg_date_created > #CreateODBCDate(url.startDate)#
AND   reg_is_active = true      -- only active regs
AND   reg_is_test = false       -- only live registrations
-- AND  reg_is_denied = false         -- exclude denied reg statuses (include these for now RWB 8/7/2)
GROUP BY rollup(acnt_dba_name, evt_name)
-- Sort with Nulls at the bottom
ORDER BY acnt_dba_name, evt_name
4

2 に答える 2

18 
with detail as (
    select
        acnt_dba_name as account,
        evt_name as event, 
        count(case reg_is_complete when true then 1 else null end) as regscomplete,
        count(case when reg_frn_pro_id > 0 and reg_is_complete = false then 1 else null end) as regsincomplete,
        count(case when reg_frn_pro_id > 0 then null else 1 end) as regsclicks
    from
        registrations_view 
        left join
        events on evt_id = reg_frn_evt_id
        left join
        accounts on acnt_id = evt_frn_acnt_id
    where
        reg_date_created < #CreateODBCDate(url.endDate)#
        AND reg_date_created > #CreateODBCDate(url.startDate)#
        and reg_is_active = true        -- only active regs
        and reg_is_test = false     -- only live registrations
    group by acnt_dba_name, evt_name
), account as (
    select
        account,
        '' as event, 
        sum(regscomplete) as regscomplete,
        sum(regsimcomplete) as regsincomplete,
        sum(regsclicks) as regsclicks
    from detail
    group by account
), total as (
    select
        'Total' as account,
        '' as event, 
        sum(regsComplete) as regsComplete,
        sum(regsImComplete) as regsInComplete,
        sum(regsClicks) as regsClicks
    from account
)
select * from detail
union
select * from account
union
select * from total
order by account, event
于 2012-12-21T13:52:23.620 に答える
10

これは、Postgresql のロールアップに相当するものに対する一般的な回答です。

テーブル t が与えられた場合:

create table t (l1 char(1), l2 char(1), i integer);
insert into t (l1, l2, i) values
('A', 'X', 1),
('A', 'Y', 2),
('B', 'X', 3),
('B', 'Y', 4);

そして、この SQL Server クエリ: SQL Fiddle

select l1, l2, sum(i) total
from t
group by rollup(l1, l2)

これはPostgresqlでそれを行う方法です: SQL Fiddle

詳細から最上位に向かう集約 CTE を作成します。

with detail as (
    select l1, l2, sum(i) total
    from t
    group by l1, l2
), l2 as (
    select l1, sum(total) total
    from detail
    group by l1
), l1 as (
    select sum(total) total
    from l2
)

パフォーマンスのために、次の上位レベルが前の下位レベルから集計されることに注意してください。

それが完了したら、適切なラベルを作成する CTE を結合するだけです。

select l1, l2, total
from detail
union
select l1, 'Total', total
from l2
union
select 'Total', '', total
from l1
order by l1, l2
于 2013-03-20T14:52:37.840 に答える