SQL PIVOT table with MIN() and on Multiple columns
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Here is the table structure
ID TypeX TypeXDesc XDate TypeCodeY
040001 3669 Unspecified Cat 2005-08-08 1
040001 3669 Unspecified Cat 2006-08-29 2
040001 37515 Tear Film 2005-08-08 1
040001 37999 Disor 2004-07-22 1
Transform above table INTO below USING PIVOT
ID TypeX_1 TypeXDesc_1 XDate_1 TypeCodeY_1 TypeX_2 TypeXDesc_2 XDate_2 TypeCodeY_2 TypeX_3 TypeXDesc_3 XDate_3 TypeCodeY_3
040001 3669 Unspecified Cat 2005-08-08 1 37515 Tear Film 2005-08-08 1 37999 Disor 2004-07-22 1
Look at the same TypeX code but XDate is different and we need to get Min(XDate) so first row is qualified not the second row.
sql sql-server sql-server-2008-r2
add a comment |
Here is the table structure
ID TypeX TypeXDesc XDate TypeCodeY
040001 3669 Unspecified Cat 2005-08-08 1
040001 3669 Unspecified Cat 2006-08-29 2
040001 37515 Tear Film 2005-08-08 1
040001 37999 Disor 2004-07-22 1
Transform above table INTO below USING PIVOT
ID TypeX_1 TypeXDesc_1 XDate_1 TypeCodeY_1 TypeX_2 TypeXDesc_2 XDate_2 TypeCodeY_2 TypeX_3 TypeXDesc_3 XDate_3 TypeCodeY_3
040001 3669 Unspecified Cat 2005-08-08 1 37515 Tear Film 2005-08-08 1 37999 Disor 2004-07-22 1
Look at the same TypeX code but XDate is different and we need to get Min(XDate) so first row is qualified not the second row.
sql sql-server sql-server-2008-r2
Any comments please, minor clue would get me going..
– user1810575
Nov 15 '18 at 18:28
Quit trying to use the PIVOT operator and use aggregated case expressions.
– Jason A. Long
Nov 15 '18 at 18:30
I started off with aggregated case expressions but its long time to run the query and some one suggested me to use PIVOT. Also there are 20 columns TypeX_1,2,3...20, it was getting expensive using aggregated case exp
– user1810575
Nov 15 '18 at 18:41
The PIVOT syntax isn't going to be any better. In fact the aggregated CASE will normally out perform the PIVOT.
– Jason A. Long
Nov 15 '18 at 18:45
add a comment |
Here is the table structure
ID TypeX TypeXDesc XDate TypeCodeY
040001 3669 Unspecified Cat 2005-08-08 1
040001 3669 Unspecified Cat 2006-08-29 2
040001 37515 Tear Film 2005-08-08 1
040001 37999 Disor 2004-07-22 1
Transform above table INTO below USING PIVOT
ID TypeX_1 TypeXDesc_1 XDate_1 TypeCodeY_1 TypeX_2 TypeXDesc_2 XDate_2 TypeCodeY_2 TypeX_3 TypeXDesc_3 XDate_3 TypeCodeY_3
040001 3669 Unspecified Cat 2005-08-08 1 37515 Tear Film 2005-08-08 1 37999 Disor 2004-07-22 1
Look at the same TypeX code but XDate is different and we need to get Min(XDate) so first row is qualified not the second row.
sql sql-server sql-server-2008-r2
Here is the table structure
ID TypeX TypeXDesc XDate TypeCodeY
040001 3669 Unspecified Cat 2005-08-08 1
040001 3669 Unspecified Cat 2006-08-29 2
040001 37515 Tear Film 2005-08-08 1
040001 37999 Disor 2004-07-22 1
Transform above table INTO below USING PIVOT
ID TypeX_1 TypeXDesc_1 XDate_1 TypeCodeY_1 TypeX_2 TypeXDesc_2 XDate_2 TypeCodeY_2 TypeX_3 TypeXDesc_3 XDate_3 TypeCodeY_3
040001 3669 Unspecified Cat 2005-08-08 1 37515 Tear Film 2005-08-08 1 37999 Disor 2004-07-22 1
Look at the same TypeX code but XDate is different and we need to get Min(XDate) so first row is qualified not the second row.
sql sql-server sql-server-2008-r2
sql sql-server sql-server-2008-r2
asked Nov 15 '18 at 17:17
user1810575user1810575
30511738
30511738
Any comments please, minor clue would get me going..
– user1810575
Nov 15 '18 at 18:28
Quit trying to use the PIVOT operator and use aggregated case expressions.
– Jason A. Long
Nov 15 '18 at 18:30
I started off with aggregated case expressions but its long time to run the query and some one suggested me to use PIVOT. Also there are 20 columns TypeX_1,2,3...20, it was getting expensive using aggregated case exp
– user1810575
Nov 15 '18 at 18:41
The PIVOT syntax isn't going to be any better. In fact the aggregated CASE will normally out perform the PIVOT.
– Jason A. Long
Nov 15 '18 at 18:45
add a comment |
Any comments please, minor clue would get me going..
– user1810575
Nov 15 '18 at 18:28
Quit trying to use the PIVOT operator and use aggregated case expressions.
– Jason A. Long
Nov 15 '18 at 18:30
I started off with aggregated case expressions but its long time to run the query and some one suggested me to use PIVOT. Also there are 20 columns TypeX_1,2,3...20, it was getting expensive using aggregated case exp
– user1810575
Nov 15 '18 at 18:41
The PIVOT syntax isn't going to be any better. In fact the aggregated CASE will normally out perform the PIVOT.
– Jason A. Long
Nov 15 '18 at 18:45
Any comments please, minor clue would get me going..
– user1810575
Nov 15 '18 at 18:28
Any comments please, minor clue would get me going..
– user1810575
Nov 15 '18 at 18:28
Quit trying to use the PIVOT operator and use aggregated case expressions.
– Jason A. Long
Nov 15 '18 at 18:30
Quit trying to use the PIVOT operator and use aggregated case expressions.
– Jason A. Long
Nov 15 '18 at 18:30
I started off with aggregated case expressions but its long time to run the query and some one suggested me to use PIVOT. Also there are 20 columns TypeX_1,2,3...20, it was getting expensive using aggregated case exp
– user1810575
Nov 15 '18 at 18:41
I started off with aggregated case expressions but its long time to run the query and some one suggested me to use PIVOT. Also there are 20 columns TypeX_1,2,3...20, it was getting expensive using aggregated case exp
– user1810575
Nov 15 '18 at 18:41
The PIVOT syntax isn't going to be any better. In fact the aggregated CASE will normally out perform the PIVOT.
– Jason A. Long
Nov 15 '18 at 18:45
The PIVOT syntax isn't going to be any better. In fact the aggregated CASE will normally out perform the PIVOT.
– Jason A. Long
Nov 15 '18 at 18:45
add a comment |
1 Answer
1
active
oldest
votes
You can accomplish this using conditional aggregation. In this case, you can enumerate the rows with within typex
/id
groups using row_number()
. You can enumerate the groups with with typex
/id
using dense_rank()
.
Then, use conditional aggregation:
select t.id,
max(case when grpnum = 1 and seqnum = 1 then typex end) as typex_1,
max(case when grpnum = 1 and seqnum = 1 then TypeXDesc end) as TypeXDesc_1,
max(case when grpnum = 1 and seqnum = 1 then XDate end) as XDate_1,
max(case when grpnum = 1 and seqnum = 1 then TypeCodeY end) as TypeCodeY_1,
max(case when grpnum = 2 and seqnum = 1 then typex end) as typex_12,
max(case when grpnum = 2 and seqnum = 1 then TypeXDesc end) as TypeXDesc_2,
max(case when grpnum = 2 and seqnum = 1 then XDate end) as XDate_2,
max(case when grpnum = 2 and seqnum = 1 then TypeCodeY end) as TypeCodeY_3,
max(case when grpnum = 3 and seqnum = 1 then typex end) as typex_1,
max(case when grpnum = 3 and seqnum = 1 then TypeXDesc end) as TypeXDesc_3,
max(case when grpnum = 3 and seqnum = 1 then XDate end) as XDate_3,
max(case when grpnum = 3 and seqnum = 1 then TypeCodeY end) as TypeCodeY_3
from (select t.*,
row_number() over (partition by id, typex order by xdate as seqnum,
dense_rank() over (partition by id order by typex) as grpnum
from t
) t
group by id;
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
You can accomplish this using conditional aggregation. In this case, you can enumerate the rows with within typex
/id
groups using row_number()
. You can enumerate the groups with with typex
/id
using dense_rank()
.
Then, use conditional aggregation:
select t.id,
max(case when grpnum = 1 and seqnum = 1 then typex end) as typex_1,
max(case when grpnum = 1 and seqnum = 1 then TypeXDesc end) as TypeXDesc_1,
max(case when grpnum = 1 and seqnum = 1 then XDate end) as XDate_1,
max(case when grpnum = 1 and seqnum = 1 then TypeCodeY end) as TypeCodeY_1,
max(case when grpnum = 2 and seqnum = 1 then typex end) as typex_12,
max(case when grpnum = 2 and seqnum = 1 then TypeXDesc end) as TypeXDesc_2,
max(case when grpnum = 2 and seqnum = 1 then XDate end) as XDate_2,
max(case when grpnum = 2 and seqnum = 1 then TypeCodeY end) as TypeCodeY_3,
max(case when grpnum = 3 and seqnum = 1 then typex end) as typex_1,
max(case when grpnum = 3 and seqnum = 1 then TypeXDesc end) as TypeXDesc_3,
max(case when grpnum = 3 and seqnum = 1 then XDate end) as XDate_3,
max(case when grpnum = 3 and seqnum = 1 then TypeCodeY end) as TypeCodeY_3
from (select t.*,
row_number() over (partition by id, typex order by xdate as seqnum,
dense_rank() over (partition by id order by typex) as grpnum
from t
) t
group by id;
add a comment |
You can accomplish this using conditional aggregation. In this case, you can enumerate the rows with within typex
/id
groups using row_number()
. You can enumerate the groups with with typex
/id
using dense_rank()
.
Then, use conditional aggregation:
select t.id,
max(case when grpnum = 1 and seqnum = 1 then typex end) as typex_1,
max(case when grpnum = 1 and seqnum = 1 then TypeXDesc end) as TypeXDesc_1,
max(case when grpnum = 1 and seqnum = 1 then XDate end) as XDate_1,
max(case when grpnum = 1 and seqnum = 1 then TypeCodeY end) as TypeCodeY_1,
max(case when grpnum = 2 and seqnum = 1 then typex end) as typex_12,
max(case when grpnum = 2 and seqnum = 1 then TypeXDesc end) as TypeXDesc_2,
max(case when grpnum = 2 and seqnum = 1 then XDate end) as XDate_2,
max(case when grpnum = 2 and seqnum = 1 then TypeCodeY end) as TypeCodeY_3,
max(case when grpnum = 3 and seqnum = 1 then typex end) as typex_1,
max(case when grpnum = 3 and seqnum = 1 then TypeXDesc end) as TypeXDesc_3,
max(case when grpnum = 3 and seqnum = 1 then XDate end) as XDate_3,
max(case when grpnum = 3 and seqnum = 1 then TypeCodeY end) as TypeCodeY_3
from (select t.*,
row_number() over (partition by id, typex order by xdate as seqnum,
dense_rank() over (partition by id order by typex) as grpnum
from t
) t
group by id;
add a comment |
You can accomplish this using conditional aggregation. In this case, you can enumerate the rows with within typex
/id
groups using row_number()
. You can enumerate the groups with with typex
/id
using dense_rank()
.
Then, use conditional aggregation:
select t.id,
max(case when grpnum = 1 and seqnum = 1 then typex end) as typex_1,
max(case when grpnum = 1 and seqnum = 1 then TypeXDesc end) as TypeXDesc_1,
max(case when grpnum = 1 and seqnum = 1 then XDate end) as XDate_1,
max(case when grpnum = 1 and seqnum = 1 then TypeCodeY end) as TypeCodeY_1,
max(case when grpnum = 2 and seqnum = 1 then typex end) as typex_12,
max(case when grpnum = 2 and seqnum = 1 then TypeXDesc end) as TypeXDesc_2,
max(case when grpnum = 2 and seqnum = 1 then XDate end) as XDate_2,
max(case when grpnum = 2 and seqnum = 1 then TypeCodeY end) as TypeCodeY_3,
max(case when grpnum = 3 and seqnum = 1 then typex end) as typex_1,
max(case when grpnum = 3 and seqnum = 1 then TypeXDesc end) as TypeXDesc_3,
max(case when grpnum = 3 and seqnum = 1 then XDate end) as XDate_3,
max(case when grpnum = 3 and seqnum = 1 then TypeCodeY end) as TypeCodeY_3
from (select t.*,
row_number() over (partition by id, typex order by xdate as seqnum,
dense_rank() over (partition by id order by typex) as grpnum
from t
) t
group by id;
You can accomplish this using conditional aggregation. In this case, you can enumerate the rows with within typex
/id
groups using row_number()
. You can enumerate the groups with with typex
/id
using dense_rank()
.
Then, use conditional aggregation:
select t.id,
max(case when grpnum = 1 and seqnum = 1 then typex end) as typex_1,
max(case when grpnum = 1 and seqnum = 1 then TypeXDesc end) as TypeXDesc_1,
max(case when grpnum = 1 and seqnum = 1 then XDate end) as XDate_1,
max(case when grpnum = 1 and seqnum = 1 then TypeCodeY end) as TypeCodeY_1,
max(case when grpnum = 2 and seqnum = 1 then typex end) as typex_12,
max(case when grpnum = 2 and seqnum = 1 then TypeXDesc end) as TypeXDesc_2,
max(case when grpnum = 2 and seqnum = 1 then XDate end) as XDate_2,
max(case when grpnum = 2 and seqnum = 1 then TypeCodeY end) as TypeCodeY_3,
max(case when grpnum = 3 and seqnum = 1 then typex end) as typex_1,
max(case when grpnum = 3 and seqnum = 1 then TypeXDesc end) as TypeXDesc_3,
max(case when grpnum = 3 and seqnum = 1 then XDate end) as XDate_3,
max(case when grpnum = 3 and seqnum = 1 then TypeCodeY end) as TypeCodeY_3
from (select t.*,
row_number() over (partition by id, typex order by xdate as seqnum,
dense_rank() over (partition by id order by typex) as grpnum
from t
) t
group by id;
answered Nov 15 '18 at 20:19
Gordon LinoffGordon Linoff
800k37321426
800k37321426
add a comment |
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Any comments please, minor clue would get me going..
– user1810575
Nov 15 '18 at 18:28
Quit trying to use the PIVOT operator and use aggregated case expressions.
– Jason A. Long
Nov 15 '18 at 18:30
I started off with aggregated case expressions but its long time to run the query and some one suggested me to use PIVOT. Also there are 20 columns TypeX_1,2,3...20, it was getting expensive using aggregated case exp
– user1810575
Nov 15 '18 at 18:41
The PIVOT syntax isn't going to be any better. In fact the aggregated CASE will normally out perform the PIVOT.
– Jason A. Long
Nov 15 '18 at 18:45