aide avec Oracle SQL Rollup
https://stackoverflow.com/questions/1226180
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J'ai écrit une requête pour collecter des données à afficher dans une boîte de mise à jour automatique & amp; graphique de moustaches dans Excel. J'aimerais utiliser le cumulatif pour créer des lignes de résumé pour chaque type de train_line (PF et MJ) à inclure dans le graphique Excel.
Puis-je faire cela en utilisant le cumulatif?
J'ai essayé de comprendre Rollup, mais je ne vais pas trop loin. J'ai juste essayé d'envelopper des choses aléatoires dans mon groupe, mais cela n'a pas fait ce que je voulais.
Voici à quoi ressemblent les premières colonnes de résultats.
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
Et voici ma requête SQL.
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
La solution
Vous utiliseriez ROLLUP . générer des sous-totaux hiérarchiques pour votre requête, par exemple:
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 (*)
La clause ROLLUP a généré les lignes marquées (*)
Si vous souhaitez uniquement obtenir un ensemble de sous-totaux et pas tous les niveaux hiérarchiques, vous pouvez utiliser le clause GROUPING SETS , c'est-à-dire:
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
Autres conseils
Il y a 'cube', 'rollup' et 'grouping sets': http://download.oracle.com/docs/cd/B28359_01/server.111/b28313/aggreg.htm#i1007462
