Selectステートメントが処理に時間がかかります

Question

このselectステートメントを使用して、異なるテーブルから情報を分離し、同じ構造を維持し、最後に結果をグループ化しますが、 "fi"テーブルには何千もの行があるため、結果を処理するのに時間がかかります。より高速な結果を得るために、以下のクエリを最適化する方法はありますか？データ型varchar型のft.fdataは

select Referencia,Designacao,cor,Tamanho,sum(qtd),entreguesede,stock 
from 
(
Select 
isnull(ST.REF,'') as Referencia 
, fi.design as Designacao 
, fi.cor Cor 
, fi.tam Tamanho 
, sum(case when ft.tipodoc=3 then -fi.qtt else fi.qtt end) as Qtd 
, isnull((select sum(case when sl.cm=1 then sl.qtt else 0 end) from sl (nolock) where sl.ref=fi.ref and sl.cor=fi.cor and sl.tam=fi.tam and sl.datalc<='20160331'),0) EntregueSede 
, isnull((select sum(case when sl.cm<50 then sl.qtt when sl.cm>50 then -sl.qtt else 0 end) from sl (nolock) where sl.ref=fi.ref and sl.cor=fi.cor and sl.tam=fi.tam and sl.datalc<='20160331'),0) Stock 

from fi (nolock) 
inner join ft (nolock) on ft.ftstamp=fi.ftstamp 
inner join td (nolock) on ft.ndoc=td.ndoc and td.regrd=0 
left join st (nolock) on fi.ref = st.ref or fi.oref = st.ref 
left join sz (nolock) on sz.no = fi.armazem 

where fi.composto=0 
and ft.fdata between '20160301' and '20160331' 
and ft.anulado=0 
and ft.fno>=0 
and fi.qtt<>0 
and ft.tipodoc in(1, 2, 3) 
and ((FI.ARMAZEM between 1000 and 1999) or fi.armazem in(10,20)) 
and isnull(sz.nome,'') like '%' + + '%' 

group by FI.REF, fi.design,fi.cor,fi.tam,st.ref 

union all 

Select 
isnull(ST.REF,'') Referencia 
, fi.design Designacao 
, fi.cor Cor 
, fi.tam Tamanho 
,sum(case when ft.tipodoc=3 then -fi.qtt else fi.qtt end) as Qtd 
, isnull((select sum(case when sl.cm=1 then sl.qtt else 0 end) from sl (nolock) where sl.ref=fi.ref and sl.cor=fi.cor and sl.tam=fi.tam and sl.datalc<='20160331'),0) EntregueSede 
, isnull((select sum(case when sl.cm<50 then sl.qtt when sl.cm>50 then -sl.qtt else 0 end) from sl (nolock) where sl.ref=fi.ref and sl.cor=fi.cor and sl.tam=fi.tam and sl.datalc<='20160331'),0) Stock 

from fi (nolock) 
inner join ft (nolock) on ft.ftstamp=fi.ftstamp 
inner join td (nolock) on ft.ndoc=td.ndoc and td.regrd=0 
left join st (nolock) on fi.ref = st.ref or fi.oref = st.ref 
left join sz (nolock) on sz.no = fi.armazem 
where fi.composto=0 
and ft.fdata >= '20150505' 
and ft.fdata between '20160301' and '20160331' 
and ft.anulado=0 
and ft.fno>=0 
and fi.qtt<>0 
and ft.ndoc in (401,501) 
and isnull(sz.nome,'') like '%' + + '%' 

group by FI.REF, fi.design, fi.cor, fi.tam, st.ref 

union all 

select 
isnull(ST.REF,'') Referencia 
, bi.design as Designacao 
, bi.cor Cor 
, bi.tam Tamanho 
,sum(bi.qtt) as Qtd 
, isnull((select sum(case when sl.cm=1 then sl.qtt else 0 end) from sl (nolock) where sl.ref=bi.ref and sl.cor=bi.cor and sl.tam=bi.tam and sl.datalc<='20160331'),0) EntregueSede 
, isnull((select sum(case when sl.cm<50 then sl.qtt when sl.cm>50 then -sl.qtt else 0 end) from sl (nolock) where sl.ref=bi.ref and sl.cor=bi.cor and sl.tam=bi.tam and sl.datalc<='20160331'),0) Stock 

from bi(nolock) 
inner join bo(nolock) on bo.bostamp = bi.bostamp 
inner join bo2(nolock) on bo2stamp = bo.bostamp 
inner join ts(nolock) on ts.ndos = bo.ndos and ts.ndos = 60 
left join st(nolock) on bi.ref = st.ref 
left join sz(nolock) on sz.no = bi.armazem 
where bi.composto=0 
and bo.dataobra between '20160301' and '20160331' 
and bo2.anulado= 0 
and bo.obrano >= 0 
and bi.qtt<>0 
and isnull(sz.nome,'') like '%' + + '%' 

group by bi.REF, bi.design, bi.cor, bi.tam, st.ref 
) a 
group by Referencia,Designacao,cor,Tamanho,entreguesede,stock 
order by 1,2,3,4,6,7 

Answer 1

1） ですか？それは数ある場合は、代わりに

and ft.fdata between '20160301' and '20160331' 

2の

and ft.fdata between 20160301 and 20160331 

を使用） これを使用することは何ですか？それは私には意味がありません。

and isnull(sz.nome,'') like '%' + + '%' 

3）未パフォーマンスに関連するが、私は列に）サブ選択（下のコードの例）ColumnNumberに

order by 1,2,3,4,6,7 

BY

4をORDERを使用しないように、あなたをお勧めしますが、通常は実際にありますパフォーマンスに関する悪い考え。可能であれば、サブクエリとして使用してください。時には、クエリ「労働組合のすべて」や「労働組合」と組み合わせる

isnull((select sum(case when sl.cm=1 then sl.qtt else 0 end) from sl (nolock) where sl.ref=bi.ref and sl.cor=bi.cor and sl.tam=bi.tam and sl.datalc<='20160331'),0) EntregueSede 

5）すでに他の人が推奨されているように（あなたのインデックスを確認してください）

6）は、私の経験から台無し実行計画（）する傾向があります。しばしば、それぞれのクエリを一時テーブルにロードしてから一時テーブルを結合すると便利です。試してみるのに時間がかかりませんので多分あなたを助けます。

編集：ここでは

ポイント4のための例：ここでは

Select 
isnull(ST.REF,'') as Referencia 
, fi.design as Designacao 
, fi.cor Cor 
, fi.tam Tamanho 
, sum(case when ft.tipodoc=3 then -fi.qtt else fi.qtt end) as Qtd 
, isnull(EntregueSedeData.EntregueSedeSum ,0) EntregueSede -- <----- USE HERE THE SUM 
, isnull((select sum(case when sl.cm<50 then sl.qtt when sl.cm>50 then -sl.qtt else 0 end) from sl (nolock) where sl.ref=fi.ref and sl.cor=fi.cor and sl.tam=fi.tam and sl.datalc<='20160331'),0) Stock 
from fi (nolock) 
inner join -- <----- JOIN YOUR DATA WITH CALCULATED SUM 
(
    select fi.ref, 
    fi.cor, 
    fi.tam, 
    sum(
      case 
       when sl.cm = 1 then sl.qtt 
       else 0 
      end 
     ) 
    as EntregueSedeSum 
    from sl (nolock) 
    where sl.datalc <= '20160331' 
) EntregueSedeData 
on sl.ref=fi.ref 
and sl.cor=fi.cor 
and sl.tam=fi.tam 
inner join ft (nolock) on ft.ftstamp=fi.ftstamp 
inner join td (nolock) on ft.ndoc=td.ndoc and td.regrd=0 
left join st (nolock) on fi.ref = st.ref or fi.oref = st.ref 
left join sz (nolock) on sz.no = fi.armazem 
where fi.composto=0 
and ft.fdata between '20160301' and '20160331' 
and ft.anulado=0 
and ft.fno>=0 
and fi.qtt<>0 
and ft.tipodoc in(1, 2, 3) 
and ((FI.ARMAZEM between 1000 and 1999) or fi.armazem in(10,20)) 
and isnull(sz.nome,'') like '%' + + '%' 
group by FI.REF, fi.design,fi.cor,fi.tam,st.ref 

ポイント6例：

create table #P1 -- replace xxx by your data type and add NOT NULL where possible 
(
    Referencia xxx PRIMARY KEY NOT NULL, -- don't know your data model, if Referencia is unique, use it the primary key 
    Designacao xxx 
    Cor xxx, 
    Tamanho xxx, 
    EntregueSede xxx, 
    Stock xxx 
) 

insert into #P1 
(
    Referencia, 
    Designacao, 
    Cor, 
    Tamanho, 
    EntregueSede, 
    Stock 
) 
Select 
isnull(ST.REF,'') as Referencia 
, fi.design as Designacao 
, fi.cor Cor 
, fi.tam Tamanho 
, sum(case when ft.tipodoc=3 then -fi.qtt else fi.qtt end) as Qtd 
, isnull((select sum(case when sl.cm=1 then sl.qtt else 0 end) from sl (nolock) where sl.ref=fi.ref and sl.cor=fi.cor and sl.tam=fi.tam and sl.datalc<='20160331'),0) EntregueSede 
, isnull((select sum(case when sl.cm<50 then sl.qtt when sl.cm>50 then -sl.qtt else 0 end) from sl (nolock) where sl.ref=fi.ref and sl.cor=fi.cor and sl.tam=fi.tam and sl.datalc<='20160331'),0) Stock 
from fi (nolock) 
inner join ft (nolock) on ft.ftstamp=fi.ftstamp 
inner join td (nolock) on ft.ndoc=td.ndoc and td.regrd=0 
left join st (nolock) on fi.ref = st.ref or fi.oref = st.ref 
left join sz (nolock) on sz.no = fi.armazem 
where fi.composto=0 
and ft.fdata between '20160301' and '20160331' 
and ft.anulado=0 
and ft.fno>=0 
and fi.qtt<>0 
and ft.tipodoc in(1, 2, 3) 
and ((FI.ARMAZEM between 1000 and 1999) or fi.armazem in(10,20)) 
and isnull(sz.nome,'') like '%' + + '%' 
group by FI.REF, fi.design,fi.cor,fi.tam,st.ref 

create table #P2 -- replace xxx by your data type and add NOT NULL where possible 
(
    Referencia xxx PRIMARY KEY NOT NULL, -- don't know your data model, if Referencia is unique, use it the primary key 
    Designacao xxx 
    Cor xxx, 
    Tamanho xxx, 
    EntregueSede xxx, 
    Stock xxx 
) 

insert into #P2 
(
    Referencia, 
    Designacao, 
    Cor, 
    Tamanho, 
    EntregueSede, 
    Stock 
) 
Select 
isnull(ST.REF,'') Referencia 
, fi.design Designacao 
, fi.cor Cor 
, fi.tam Tamanho 
,sum(case when ft.tipodoc=3 then -fi.qtt else fi.qtt end) as Qtd 
, isnull((select sum(case when sl.cm=1 then sl.qtt else 0 end) from sl (nolock) where sl.ref=fi.ref and sl.cor=fi.cor and sl.tam=fi.tam and sl.datalc<='20160331'),0) EntregueSede 
, isnull((select sum(case when sl.cm<50 then sl.qtt when sl.cm>50 then -sl.qtt else 0 end) from sl (nolock) where sl.ref=fi.ref and sl.cor=fi.cor and sl.tam=fi.tam and sl.datalc<='20160331'),0) Stock 
from fi (nolock) 
inner join ft (nolock) on ft.ftstamp=fi.ftstamp 
inner join td (nolock) on ft.ndoc=td.ndoc and td.regrd=0 
left join st (nolock) on fi.ref = st.ref or fi.oref = st.ref 
left join sz (nolock) on sz.no = fi.armazem 
where fi.composto=0 
and ft.fdata >= '20150505' 
and ft.fdata between '20160301' and '20160331' 
and ft.anulado=0 
and ft.fno>=0 
and fi.qtt<>0 
and ft.ndoc in (401,501) 
and isnull(sz.nome,'') like '%' + + '%' 
group by FI.REF, fi.design, fi.cor, fi.tam, st.ref 

create table #P3 -- replace xxx by your data type and add NOT NULL where possible 
(
    Referencia xxx PRIMARY KEY NOT NULL, -- don't know your data model, if Referencia is unique, use it the primary key 
    Designacao xxx 
    Cor xxx, 
    Tamanho xxx, 
    EntregueSede xxx, 
    Stock xxx 
) 

insert into #P3 
(
    Referencia, 
    Designacao, 
    Cor, 
    Tamanho, 
    EntregueSede, 
    Stock 
) 
select 
isnull(ST.REF,'') Referencia 
, bi.design as Designacao 
, bi.cor Cor 
, bi.tam Tamanho 
,sum(bi.qtt) as Qtd 
, isnull((select sum(case when sl.cm=1 then sl.qtt else 0 end) from sl (nolock) where sl.ref=bi.ref and sl.cor=bi.cor and sl.tam=bi.tam and sl.datalc<='20160331'),0) EntregueSede 
, isnull((select sum(case when sl.cm<50 then sl.qtt when sl.cm>50 then -sl.qtt else 0 end) from sl (nolock) where sl.ref=bi.ref and sl.cor=bi.cor and sl.tam=bi.tam and sl.datalc<='20160331'),0) Stock 

from bi(nolock) 
inner join bo(nolock) on bo.bostamp = bi.bostamp 
inner join bo2(nolock) on bo2stamp = bo.bostamp 
inner join ts(nolock) on ts.ndos = bo.ndos and ts.ndos = 60 
left join st(nolock) on bi.ref = st.ref 
left join sz(nolock) on sz.no = bi.armazem 
where bi.composto=0 
and bo.dataobra between '20160301' and '20160331' 
and bo2.anulado= 0 
and bo.obrano >= 0 
and bi.qtt<>0 
and isnull(sz.nome,'') like '%' + + '%' 
group by bi.REF, bi.design, bi.cor, bi.tam, st.ref 

select Referencia, 
Designacao, 
cor, 
Tamanho, 
sum(qtd), 
entreguesede, 
stock 
from 
(
    select 
    Referencia, 
    Designacao, 
    Cor, 
    Tamanho, 
    EntregueSede, 
    Stock 
    from #P1 
    union all 
    select 
    Referencia, 
    Designacao, 
    Cor, 
    Tamanho, 
    EntregueSede, 
    Stock 
    from #P2 
    union all 
    select 
    Referencia, 
    Designacao, 
    Cor, 
    Tamanho, 
    EntregueSede, 
    Stock 
    from #P3 
) a 
group by Referencia, 
Designacao, 
cor, 
Tamanho, 
entreguesede, 
stock 
order by 1,2,3,4,6,7