Oracle SQL 롤업에 도움이됩니다
https://stackoverflow.com/questions/1226180
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Excel의 자동 업데이트 박스 및 수염 그래프에 표시 할 데이터를 수집하기 위해 쿼리를 작성했습니다. 롤업을 사용하여 Excel 차트에 포함 할 각 유형의 Train_Line (PF 및 MJ)에 대한 요약 행을 작성하고 싶습니다.
롤업을 사용하여 할 수 있습니까?
나는 롤업 주위에 머리를 잡으려고 노력했지만 멀지 않습니다. 나는 그룹 바이에서 임의의 물건들을 마무리하려고 시도했지만 내가 원하는 것을하지 않았습니다.
결과의 처음 몇 개 열은 다음과 같습니다.
DUMP_YEAR DUMP_WEEK LINE MINE PRODUCT CODE
2009 30 MJ MJ C MJ-C
2009 30 PF BR F BR-F
2009 30 PF BR L BR-L
2009 30 PF HD F HD-F
2009 30 PF HD L HD-L
2009 30 PF MA F MA-F
2009 30 PF MA L MA-L
2009 30 PF NM F NM-F
2009 30 PF NM L NM-L
2009 30 PF PA F PA-F
2009 30 PF PA L PA-L
2009 30 PF TP F TP-F
2009 30 PF TP L TP-L
2009 30 PF WA F WA-F
2009 30 PF WA L WA-L
2009 30 PF YA F YA-F
그리고 여기 내 SQL 쿼리가 있습니다.
select t.dump_year,
t.dump_week,
(case when t.product = 'L' or t.product = 'F' then 'PF'
when t.product = 'C' then 'MJ'
else null
end) as train_line,
t.mine_id,
t.product,
t.mine_id||'-'||t.product as code,
count(distinct t.tpps_train_id) as trains,
count(1) as wagons,
count(CASE WHEN w.tonnes >= 1121 THEN w.tonnes END) as overload,
round(count(CASE WHEN w.tonnes >= 1121 THEN w.tonnes END)/count(1)*100,1) as pct_ol,
min(t.dump_date) as first_train,
max(t.dump_date) as last_train,
119 as u_limit,
100 as target,
round(avg(w.tonnes),2) as average,
round(stddev(w.tonnes),2) as deviation,
round(min(w.tonnes),2) as minimum,
round(max(w.tonnes),2) as maximum,
round(percentile_disc(0.99) within group (order by (w.tonnes) desc),2) as pct_1st,
round((percentile_disc(0.75) within group (order by (w.tonnes) desc)),2)-round((percentile_disc(0.99) within group (order by (w.tonnes) desc)),2) as whisker1,
round(percentile_disc(0.75) within group (order by (w.tonnes) desc),2) as pct_25th,
round((percentile_disc(0.50) within group (order by (w.tonnes) desc)),2)-round((percentile_disc(0.75) within group (order by (w.tonnes) desc)),2) as box50,
round((percentile_disc(0.25) within group (order by (w.tonnes) desc)),2)-round(percentile_disc(0.50) within group (order by (w.tonnes) desc),2) as box75,
round((percentile_disc(0.01) within group (order by (w.tonnes) desc)),2)-round((percentile_disc(0.25) within group (order by (w.tonnes) desc)),2) as whisker99,
round(percentile_disc(0.50) within group (order by (w.tonnes) desc),2) as pct_50th,
round(percentile_disc(0.25) within group (order by (w.tonnes) desc),2) as pct_75th,
round(percentile_disc(0.01) within group (order by (w.tonnes) desc),2) as pct_99th
from
(
select trn.mine_code as mine_id,
substr(trn.train_control_id,2,1) as port,
trn.train_tpps_id as tpps_train_id,
con.weight_total-con.empty_weight_total as tonnes
from widsys.train trn
INNER JOIN widsys.consist con
USING (train_record_id)
where trn.direction = 'N'
and (con.weight_total-con.empty_weight_total) > 10
and trn.num_cars > 10
) w,
(
select td.datetime_act_comp_dump as dump_date,
to_char(td.datetime_act_comp_dump-7/24, 'IYYY') as dump_year,
to_char(td.datetime_act_comp_dump-7/24, 'IW') as dump_week,
td.mine_code as mine_id,
td.train_id as tpps_train_id,
pt.product_type_code as product
from tpps.train_details td
inner join tpps.ore_products op
using (ore_product_key)
inner join tpps.product_types pt
using (product_type_key)
where to_char(td.datetime_act_comp_dump-7/24, 'IYYY') = 2009
and to_char(td.datetime_act_comp_dump-7/24, 'IW') = 30
order by td.datetime_act_comp_dump asc
) t
where w.mine_id = t.mine_id
and w.tpps_train_id = t.tpps_train_id
--having t.product is not null or t.mine_id is null
group by
t.dump_year,
t.dump_week,
(case when t.product = 'L' or t.product = 'F' then 'PF'when t.product = 'C' then 'MJ'else null end),
t.mine_id,
t.product
order by train_line asc
해결책
당신은 사용할 것입니다 롤업 쿼리에 대한 계층 적 소속을 생성하려면 즉
SQL> WITH DATA AS (
2 SELECT 'i' || MOD(ROWNUM, 1) dim1,
3 'j' || MOD(ROWNUM, 2) dim2,
4 'k' || MOD(ROWNUM, 3) dim3,
5 ROWNUM qty
6 FROM dual
7 CONNECT BY LEVEL <= 100
8 )
9 SELECT dim1, dim2, dim3, SUM(qty) tot
10 FROM DATA
11 GROUP BY dim1, rollup(dim2,dim3)
12 ORDER BY 1, 2, 3;
DIM1 DIM2 DIM3 TOT
----- ----- ----- ----------
i0 j0 k0 816
i0 j0 k1 884
i0 j0 k2 850
i0 j0 2550 (*)
i0 j1 k0 867
i0 j1 k1 833
i0 j1 k2 800
i0 j1 2500 (*)
i0 5050 (*)
롤업 조항은 (*)로 표시된 줄을 생성했습니다.
모든 계층 적 수준이 아니라 하위 토탈 세트 만 얻으려면 그룹화 세트 조항, 즉 :
SQL> WITH DATA AS (
2 SELECT 'i' || MOD(ROWNUM, 1) dim1,
3 'j' || MOD(ROWNUM, 2) dim2,
4 'k' || MOD(ROWNUM, 3) dim3,
5 ROWNUM qty
6 FROM dual
7 CONNECT BY LEVEL <= 100
8 )
9 SELECT dim1, dim2, dim3, SUM(qty) tot
10 FROM DATA
11 GROUP BY GROUPING SETS (
12 (dim1, dim2, dim3), -- detail
13 (dim1) -- total
14 )
15 ORDER BY 1, 2, 3;
DIM1 DIM2 DIM3 TOT
----- ----- ----- ----------
i0 j0 k0 816
i0 j0 k1 884
i0 j0 k2 850
i0 j1 k0 867
i0 j1 k1 833
i0 j1 k2 800
i0 5050
다른 팁
'큐브', '롤업'및 '그룹화 세트'가 있습니다. http://download.oracle.com/docs/cd/b28359_01/server.111/b28313/aggreg.htm#i1007462
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