How to tune the below query?
SELECT /* + ALL_ROWS */
distinct
--(select name from team where team_id in (select team_id from alignment where alignment_id=a.alignment_id))as team_name,
(select name from team where team_id=a.team_id) as team_name,
e.employee_id, --REP EMPLOYEE_ID
c.external_id_2,
c.name || ','|| c.first_name as customer_name,
c.customer_sub_type, -- spcialty
event.ENTRY_DATE ,
CASE
WHEN event.EVENT_TYPE='C' and event.APPOINTMENT_TYPE='GA' THEN 'Via Appointment'
WHEN event.EVENT_TYPE='C' and event.APPOINTMENT_TYPE is null THEN 'Direct Call'
ELSE '-'
END EVENT_TYPE,
event.Event_id,
rating.rating_category, -- RATING CATEGORY
rating.call_frequency,
adr.line_1_address address1, -- address1
adr.line_2_address address2, --address2
adr.city, --city
adr.state, --state
adr.geography_code_1, -- brick name
event.start_date_time, --Start date
event.status_change_date,
nt.note_text call_objective,--next call OBJECTIVE
ed.text_1 as Call_Objective_results,
(select display_name from product where product_id in(select max(product_id) from event_detail where sequence=1 and event_id=event.event_id)) as product_1,
(select display_name from product where product_id in(select max(product_id) from event_detail where sequence=2 and event_id=event.event_id)) as product_2,
(select display_name from product where product_id in(select max(product_id) from event_detail where sequence=3 and event_id=event.event_id)) as product_3,
(select display_name from product where product_id in (
(select max(product_id) from event_item where product_id in (ei.product_id) ))) || ' , '|| ei.quantity as promotinal_items_type_quantity,
(select display_name from product where product_id in (
(select max(product_id) from sample_transaction where product_id not in (ei.product_id) and event_id=event.event_id)))|| ' , '||
(select physical_quantity from sample_transaction where product_id in (
(select max(product_id) from product where product_id not in (ei.product_id) and event_id=event.event_id)) ) as pob_product_quantity,
event.accompanied_by,
--(select ACCOMPANIED_BY from event ev where tenant_id=500020 and employee_id in (::employee_id) and ev.event_id=event.event_id) Accompanied_BY,
event.status,
event.end_date_time FROM employee e
inner join alignment a on e.employee_id=a.employee_id
inner join
(
select event_id,alignment_id,employee_id,affiliation_id,customer_id, interaction_channel, start_date_time,end_date_time,STATUS_CHANGE_DATE,
ENTRY_DATE ,EVENT_TYPE,APPOINTMENT_TYPE,
status,accompanied_by from event ev where
ev.event_type in (::event_type) and tenant_id=500020 and start_date_time>=:start_date AND end_date_time<=:end_date and
ev.employee_id in
(
select employee_id from alignment where manager_alignment_id in
(
select alignment_id from alignment where manager_alignment_id in
(
select alignment_id from alignment where employee_id in
(
::employee_id
)
)
) or manager_alignment_id in(
select alignment_id from alignment where employee_id in
(
::employee_id
)
)
or alignment_id in(
select alignment_id from alignment where employee_id in
(
::employee_id
)
)
) and ev.status in (::status) or (ev.tenant_id=500020 and 'VPOS'=(select distinct role from alignment where employee_id in ( ::employee_id ) AND role='VPOS' ) and ev.event_type in (::event_type) and start_date_time>=:start_date AND end_date_time<=:end_date)
)event on a.employee_id=event.employee_id and event.interaction_channel ='INPR'
inner join affiliation aff on event.affiliation_id=aff.affiliation_id
left outer join event_dynamic ed on event.event_id=ed.event_id
left outer join event_item ei on ei.event_id=event.event_id
inner join customer c on c.customer_id=event.customer_id and c.customer_type IN ('PRES','NPRS')
left outer join address adr on aff.address_id=adr.address_id
left outer join notes nt on event.event_id=nt.event_id and nt.customer_id=c.customer_id and note_type='CC'
left outer join
(
select dnr.dn_rating_attribute_id,r.team_id,
r.customer_id,
(select note_text from notes where
CUSTOMER_ID=r.customer_id
and note_type='CC' and event_id IS null) nextcall_objective,
r.user_account_id,
r.value_min,
case
when r.value_min = '1' then 'A'
when r.value_min= '2' then 'B'
when r.value_min = '3' then 'C'
end RATING_CATEGORY
from dn_rating_attribute dnr
inner join rating r on r.dn_rating_attribute_id=dnr.dn_rating_attribute_id
where dnr.external_id_1='IND_CATEGORY'
) rating on c.customer_id=rating.customer_id and rating.team_id in ( select team_id from alignment where employee_id=event.employee_id )
left outer join
(
select dnr.dn_rating_attribute_id,r.team_id,
r.customer_id,
r.user_account_id,
r.value_min,
case
when r.value_min = '1' then '1'
when r.value_min= '2' then '2'
when r.value_min = '3' then '3'
end Call_frequency
from dn_rating_attribute dnr
inner join rating r on r.dn_rating_attribute_id=dnr.dn_rating_attribute_id
where dnr.external_id_1='IND_CALLFREQUENCY'
) rating on c.customer_id=rating.customer_id and rating.team_id in ( select team_id from alignment where employee_id=event.employee_id )
It is taking long time to fetch the records. I am not sure where it is taking long time. Shall I use any hints for this.
Here is the Execution Plan
0 SELECT STATEMENT 36114 11M 503880 12G 503424
1 0 INDEX RANGE SCAN PEUSPMMI.TEAM_PF1 1 19 1 7321 1
2 0 TABLE ACCESS BY INDEX ROWID PEUSPMMI.PRODUCT 1 25 2 15463 2
3 2 INDEX UNIQUE SCAN PEUSPMMI.PRODUCT_PK 1 1 8171 1
4 3 SORT AGGREGATE 1 21
5 4 TABLE ACCESS BY INDEX ROWID PEUSPMMI.EVENT_DETAIL 1 21 4 29817 4
6 5 INDEX RANGE SCAN PEUSPMMI.EVENT_DETAIL_PF2 2 3 21964 3
7 0 TABLE ACCESS BY INDEX ROWID PEUSPMMI.PRODUCT 1 25 2 15463 2
8 7 INDEX UNIQUE SCAN PEUSPMMI.PRODUCT_PK 1 1 8171 1
9 8 SORT AGGREGATE 1 21
10 9 TABLE ACCESS BY INDEX ROWID PEUSPMMI.EVENT_DETAIL 1 21 4 29817 4
11 10 INDEX RANGE SCAN PEUSPMMI.EVENT_DETAIL_PF2 2 3 21964 3
12 0 TABLE ACCESS BY INDEX ROWID PEUSPMMI.PRODUCT 1 25 2 15463 2
13 12 INDEX UNIQUE SCAN PEUSPMMI.PRODUCT_PK 1 1 8171 1
14 13 SORT AGGREGATE 1 21
15 14 TABLE ACCESS BY INDEX ROWID PEUSPMMI.EVENT_DETAIL 1 21 4 29817 4
16 15 INDEX RANGE SCAN PEUSPMMI.EVENT_DETAIL_PF2 2 3 21964 3
17 0 TABLE ACCESS BY INDEX ROWID PEUSPMMI.PRODUCT 1 25 2 15463 2
18 17 INDEX UNIQUE SCAN PEUSPMMI.PRODUCT_PK 1 1 8171 1
19 18 SORT AGGREGATE 1 10
20 19 FIRST ROW 68 680 1 21571 1
21 20 INDEX RANGE SCAN (MIN/MAX) PEUSPMMI.EVENT_ITEM_FK2 68 680 1 21571 1
22 0 TABLE ACCESS BY INDEX ROWID PEUSPMMI.PRODUCT 1 25 2 15463 2
23 22 INDEX UNIQUE SCAN PEUSPMMI.PRODUCT_PK 1 1 8171 1
24 23 SORT AGGREGATE 1 19
25 24 TABLE ACCESS BY INDEX ROWID PEUSPMMI.SAMPLE_TRANSACTION 1 19 2 15974 2
26 25 INDEX RANGE SCAN PEUSPMMI.SAMPLE_TRANSACTION_FK4 1 1 8371 1
27 0 FILTER
28 27 TABLE ACCESS FULL PEUSPMMI.SAMPLE_TRANSACTION 37771 848K 205 18M 204
29 27 SORT AGGREGATE 1 9
30 29 FILTER
31 30 FIRST ROW 1 9 2 14493 2
32 31 INDEX FULL SCAN (MIN/MAX) PEUSPMMI.PRODUCT_PK 1 9 2 14493 2
33 0 HASH UNIQUE 36114 11M 503880 12G 503424 11M
34 33 NESTED LOOPS OUTER 36114 11M 501364 12G 500912
35 34 NESTED LOOPS OUTER 36114 10M 284619 11G 284228
36 35 HASH JOIN OUTER 36114 10M 67875 9G 67544 8576K
37 36 VIEW 36114 8146K 53266 8G 52971
38 37 FILTER
39 38 HASH JOIN RIGHT OUTER 36114 10M 53263 8G 52969
40 39 TABLE ACCESS FULL PEUSPMMI.EVENT_ITEM 7860 168K 17 2692444 17
41 39 NESTED LOOPS 36114 10M 53246 8G 52952
42 41 HASH JOIN 36114 9980K 53243 8G 52952
43 42 TABLE ACCESS FULL PEUSPMMI.ALIGNMENT 950 16K 10 816335 10
44 42 HASH JOIN OUTER 36114 9345K 53233 8G 52942 8504K
45 44 HASH JOIN OUTER 35521 8082K 45773 7G 45525 5920K
46 45 HASH JOIN 35445 5503K 41799 6G 41569 3992K
47 46 HASH JOIN 35484 3569K 30983 4G 30814 3368K
48 47 TABLE ACCESS FULL PEUSPMMI.EVENT 35530 2949K 27495 4G 27343
49 47 INDEX FAST FULL SCAN PEUSPMMI.AFFILIATION_PF12 1342K 23M 1412 195M 1405
50 46 TABLE ACCESS FULL PEUSPMMI.CUSTOMER 706K 37M 8346 1G 8292
51 45 TABLE ACCESS FULL PEUSPMMI.ADDRESS 303K 21M 2449 431M 2434
52 44 TABLE ACCESS FULL PEUSPMMI.EVENT_DYNAMIC 1255K 38M 4426 906M 4394
53 41 INDEX UNIQUE SCAN PEUSPMMI.EMPLOYEE_PK 1 9 0 1900 0
54 38 FILTER
55 54 TABLE ACCESS BY INDEX ROWID PEUSPMMI.ALIGNMENT 1 23 2 15640 2
56 55 INDEX UNIQUE SCAN PEUSPMMI.ALIGNMENT_UK1 1 1 8171 1
57 54 NESTED LOOPS
58 57 NESTED LOOPS 1 31 3 23674 3
59 58 INDEX RANGE SCAN PEUSPMMI.ALIGNMENT_PF2 1 15 2 14463 2
60 58 INDEX UNIQUE SCAN PEUSPMMI.ALIGNMENT_UK1 1 0 1900 0
61 57 TABLE ACCESS BY INDEX ROWID PEUSPMMI.ALIGNMENT 1 16 1 9211 1
62 54 TABLE ACCESS BY INDEX ROWID PEUSPMMI.ALIGNMENT 1 16 2 15533 2
63 62 INDEX UNIQUE SCAN PEUSPMMI.ALIGNMENT_UK1 1 1 8171 1
64 54 TABLE ACCESS BY INDEX ROWID PEUSPMMI.ALIGNMENT 1 16 2 15533 2
65 64 INDEX UNIQUE SCAN PEUSPMMI.ALIGNMENT_UK1 1 1 8171 1
66 38 TABLE ACCESS BY INDEX ROWID PEUSPMMI.ALIGNMENT 1 12 2 15693 2
67 66 INDEX UNIQUE SCAN PEUSPMMI.ALIGNMENT_UK1 1 1 8171 1
68 36 TABLE ACCESS FULL PEUSPMMI.NOTES 1138K 89M 9125 700M 9100
69 35 VIEW 1 6 6 47959 6
70 69 NESTED LOOPS
71 70 NESTED LOOPS 1 75 6 47959 6
72 71 MERGE JOIN CARTESIAN 1 52 3 25134 3
73 72 TABLE ACCESS BY INDEX ROWID PEUSPMMI.DN_RATING_ATTRIBUTE 1 34 2 15903 2
74 73 INDEX RANGE SCAN PEUSPMMI.DN_RATING_ATTRIBUTE_PF2 1 1 8171 1
75 72 BUFFER SORT 1 18 1 9231 1
76 75 TABLE ACCESS BY INDEX ROWID PEUSPMMI.ALIGNMENT 1 18 1 9231 1
77 76 INDEX UNIQUE SCAN PEUSPMMI.ALIGNMENT_UK1 1 0 1900 0
78 71 INDEX RANGE SCAN PEUSPMMI.RATING_UK1 1 2 15313 2
79 70 TABLE ACCESS BY INDEX ROWID PEUSPMMI.RATING 1 23 3 22824 3
80 34 VIEW 1 6 6 47959 6
81 80 NESTED LOOPS
82 81 NESTED LOOPS 1 75 6 47959 6
83 82 MERGE JOIN CARTESIAN 1 52 3 25134 3
84 83 TABLE ACCESS BY INDEX ROWID PEUSPMMI.DN_RATING_ATTRIBUTE 1 34 2 15903 2
85 84 INDEX RANGE SCAN PEUSPMMI.DN_RATING_ATTRIBUTE_PF2 1 1 8171 1
86 83 BUFFER SORT 1 18 1 9231 1
87 86 TABLE ACCESS BY INDEX ROWID PEUSPMMI.ALIGNMENT 1 18 1 9231 1
88 87 INDEX UNIQUE SCAN PEUSPMMI.ALIGNMENT_UK1 1 0 1900 0
89 82 INDEX RANGE SCAN PEUSPMMI.RATING_UK1 1 2 15313 2
90 81 TABLE ACCESS BY INDEX ROWID PEUSPMMI.RATING 1 23 3 22824 3
Please do the needful.
I am using Oracle 11g.
"I am not sure where it is taking long time."
There's no need to guess. Use Real-Time SQL Monitoring to find out exactly which operations are running the longest. (If you continue to use the package it may require additional licensing, but you should at least evaluate it.)
select dbms_sqltune.report_sql_monitor(sql_id => 'your_id', type => 'text') from dual;
There are a few other ways to do this such as tracing, GATHER_PLAN_STATISTICS hint, etc. But SQL Monitoring is the easiest to use and provides the most information. Explain plans alone are usually not enough to tune large SQL statements with complex execution plans.
Edit your question with the results and the root cause may be obvious to spot.
Related
I need your help for a little issue.
I use MS ACCESS to work with a database and I need to resolve a query. My query asks:
Find the CUSTOMER_ID and TRANSC_ID where 2 consecutive value between 200 and 500 WITHIN the same transc_id.
I explain.
I have this table in this format:
CUSTOMER_ID TRANSC_ID VALUE VALUE_DATE
51 10 15 29-12-1999
51 10 20 15-07-2000
51 10 35 18-08-2000
51 10 250 30-08-2000
51 10 13 10-09-2000
51 10 450 15-09-2000
51 11 5 15-09-2000
51 11 23 30-09-2000
51 11 490 10-10-2000
51 11 300 12-10-2000
51 11 85 30-10-2000
51 11 98 01-01-2000
53 10 65 15-10-2000
53 10 14 29-12-2000
And I need just
51 11 490 10-10-2000
51 11 300 12-10-2000
because the two values is consecutive (and both of them is >250 and <500).
How can I make a query in MS ACCESS to obtain this result?
Thank you.
You can get the "next" and "previous" values using correlated subqueries, and then do the comparison:
select t.*
from t
where t.value between 200 and 500 and
( (select top 1 t2.value
from t as t2
where t2.CUSTOMER_ID = t.CUSTOMER_ID and t2.TRANSC_ID = t.TRANSC_ID and
t2.value_date > t.value_date
order by t2.value_date
) between 200 and 500 or
(select top 1 t2.value
from t as t2
where t2.CUSTOMER_ID = t.CUSTOMER_ID and t2.TRANSC_ID = t.TRANSC_ID and
t2.value_date < t.value_date
order by t2.value_date desc
) between 200 and 500
);
I have a query that looks like this:
select nvl(trim(a.code), 'Blanks') as Ward, count(b.apcasekey) as UNSP, count(c.apcasekey) as GRAPH,
count(d.apcasekey) as "ANI/PIG",
(count(b.apcasekey) + count(c.apcasekey) + count(d.apcasekey)) as "TOTAL ACTIVE",
count(a.apcasekey) as "TOTAL OPEN" from (etc...)
group by a.code
order by Ward
The reason I have nvl(trim(a.code), 'Blanks') as Ward is that sometimes a.code is a blank string, sometimes it's a null.
The problem is that when I use the Group By statement, I can't use Ward or I get the error
Ward: Invalid Identifier
I can only use a.code so I get 2 rows for 'Blanks', as per below
1 Blanks 7 0 0 7 7
2 Blanks 23 1 1 25 30
3 W01 75 4 0 79 91
4 W02 62 1 0 63 72
5 W03 140 2 0 142 162
6 W04 6 1 0 7 7
7 W05 46 0 1 47 48
8 W06 322 46 1 369 425
9 W07 91 0 1 92 108
10 W08 93 2 0 95 104
11 W09 28 1 0 29 30
12 W10 25 0 0 25 28
What I need, is for the row with 'Blanks' to combined into 1 row. Little help?
Thanks.
You can not use the alias in the GROUP BY, but you can use the expression that builds the value:
GROUP BY nvl(trim(a.code), 'Blanks')
I have a list of IDs, transactions, and the date of those transactions. I want to create a count of each transaction within each ID.
The starting table I have is looks something like this:
id trxn_dt trxn_amt
1 10/31/2014 58
1 11/9/2014 34
1 12/10/2014 12
2 7/8/2014 78
2 11/20/2014 99
3 1/5/2014 120
4 2/17/2014 588
4 2/18/2014 8
4 3/9/2014 65
4 4/25/2014 74
and I want the end result to look something like this:
id trxn_dt trxn_amt trxn_count
1 10/31/2014 58 1
1 11/9/2014 34 2
1 12/10/2014 12 3
2 7/8/2014 78 1
2 11/20/2014 99 2
3 1/5/2014 120 1
4 2/17/2014 588 1
4 2/18/2014 8 2
4 3/9/2014 65 3
4 4/25/2014 74 4
Count(distinct(id)) would only give me the overall number of distinct IDs and not a running total by each ID that restarts at each new ID.
Thank you!
In SQL-Server you can use ROW_NUMBER in following:
SELECT id,
trxn_dt,
trxn_amt,
ROW_NUMBER() OVER(PARTITION BY Id ORDER BY Id, trxn_dt) AS trxn_count
FROM StarningTable
In MySQL you can do in following:
SELECT
t.id,
t.trxn_dt,
t.trxn_amt,
#cur:= IF(id=#id, #cur+1, 1) AS RowNumber,
#id := id
FROM
StarningTable t
CROSS JOIN
(SELECT #id:=(SELECT MIN(id) FROM StarningTable t), #cur:=0) AS init
ORDER BY
t.id
using Row_number we can achieve this
Select *,
ROW_NUMBER()OVER(PARTITION BY id ORDER BY (SELECT NULL))trxn_count
from Transactions
course_completions CC
id coursemodid userid state timemodified
370 23 2 1 1433582890
329 24 89 1 1427771915
333 30 39 1 1428309816
332 32 39 1 1428303307
327 33 40 1 1427689703
328 34 89 1 1427710711
303 35 41 1 1410258482
358 36 99 1 1432020067
365 25 2 1 1433142455
304 26 69 1 1410717866
353 37 95 1 1430387005
416 38 2 1 1438972465
300 27 70 1 1409824001
302 29 74 1 1412055704
297 30 2 1 1409582123
301 133 41 1 1410255923
336 133 91 1 1428398435
364 133 40 1 1433142348
312 133 85 1 1425863621
course_modules CM
id course
23 6
24 6
25 6
26 6
27 6
28 6
29 8
30 8
31 8
32 8
33 8
34 5
35 5
36 5
37 5
38 5
39 9
40 9
41 9
course_mod_settings CMS
id course modinstance
27 8 30
28 8 31
29 8 32
30 8 33
31 6 23
32 6 24
33 6 25
34 6 26
35 6 27
36 6 28
37 9 39
38 9 40
39 9 41
I need the count of each user has Completed modules, Inprocess modules and Notstarted modules for each course, where getting the count of userids from table CC by taking courseia from table CM, get number of modules that an user has completed from each course.
(A course can have morethan one module and a course can have number of users attempted all modules, few modules or not attempted at all).
So, I need number of users - has done number of modules - in a course. (3 logics)
Completed.Users means : If number of modules attempted is equal to number of modinstance from table CMS (ex: no. of modules attempted by a user per course= 9, no.modinstance = 9. Because 7 is not equal to 9, They are completed.)
Inprocess.Users means : Number of modules attempted should be >0, but not equal to [count(modinstance) per course] (ex: no. of modules attempted by a user per course= 7 , no.modinstance = 9. Because 7 is not equal to 9, They are Inprocess.)
Notstarted.Users means : Number of modules attempted should be equal to 0, (ex: no. of modules attempted by a user per course= 0. They are Notstarted).
OUTPUT :
Course No.Completed.Users No.Inprocess.Users No.Notstarted.Users
5 65 32 6
6 40 12 15
8 43 56 0
9 0 7 9
Sir, this is a very critical logic that I was trying, I couldn't get a solution. I hope stackoverflow developers could help me out. I tried with my query :
SELECT cm.course AS "Course",
(CASE WHEN
(SELECT count(cms.id) FROM course_mod_settings cms) =
(SELECT count(cmc.coursemodid) FROM course_completions cc JOIN course_modules cm ON cmc.coursemodid = cm.id WHERE cmc.state=1 )
THEN COUNT(SELECT count(cmc.coursemodid) FROM course_completions cc JOIN course_modules cm ON cmc.coursemodid = cm.id WHERE cmc.state=1 ) END) AS "No.Completed.Users",
(CASE WHEN
(SELECT count(cms.id) FROM course_mod_settings cms) > 0 AND
(SELECT count(cms.id) FROM course_mod_settings cms) !=
(SELECT count(cmc.coursemodid) FROM course_completions cc JOIN course_modules cm ON cmc.coursemodid = cm.id WHERE cmc.state=1 )
THEN COUNT(SELECT count(cmc.coursemodid) FROM course_completions cc JOIN course_modules cm ON cmc.coursemodid = cm.id WHERE cmc.state=1 ) END) AS "No.Inprocess.Users",
(CASE WHEN
(SELECT count(cms.id) FROM course_mod_settings cms) = 0
THEN COUNT(SELECT count(cmc.coursemodid) FROM course_completions cc JOIN course_modules cm ON cmc.coursemodid = cm.id WHERE cmc.state=1 ) END) AS "No.Notstarted.Users"
FROM
mdl_course c
GROUP BY c.id
SQL Fiddle
SELECT course AS "Course",
SUM(CASE WHEN completion_count = module_count THEN 1 ELSE 0 END) AS "No.Completed.Users",
SUM(CASE WHEN completion_count > 0 AND completion_count < module_count THEN 1 ELSE 0 END) AS "No.Inprocess.Users",
SUM(CASE WHEN completion_count = 0 THEN 1 ELSE 0 END) AS "No.Notstarted.Users"
FROM (SELECT course, COUNT(*) AS module_count
FROM course_modules cm
GROUP BY course) course_module_counts JOIN
(SELECT cm.course AS courseid, users.id AS userid, SUM(CASE WHEN cc.state = 1 THEN 1 ELSE 0 END) completion_count
FROM ((SELECT DISTINCT userid AS id FROM course_completions) users CROSS JOIN course_modules cm) LEFT JOIN course_completions cc ON users.id = cc.userid AND cc.coursemodid = cm.id
GROUP BY cm.course, users.id) course_completion_counts
ON course_module_counts.course = course_completion_counts.courseid
GROUP BY course
gives this output, which matches the limited dataset that you provided in your question.
| course | No.Completed.Users | No.Inprocess.Users | No.Notstarted.Users |
|--------|--------------------|--------------------|---------------------|
| 5 | 0 | 5 | 7 |
| 6 | 0 | 4 | 8 |
| 8 | 0 | 4 | 8 |
| 9 | 0 | 0 | 12 |
I am new to Microsoft access.
I need a query that will allow me to sum a rolling total for every 5 lines of data. So on the sixth day I need a line to drop off the total and the new line to be added.
Fields:
ID, Daily_SUM
The results should be
ID Daily sum Weekly Sum
1 12
2 41
3 46
4 125
5 120 344
6 42 374
7 41 374
8 57 385
9 207 467
10 215 562
11 187 707
12 -43 623
13 45 611
14 56 460
15 40 285
16 8 106
17 95 244
18 580 779
19 360 1083
20 337 1380
You can do this with a correlated subquery. The challenge is actually getting NULL values on the first few rows:
select t.id, t.daily,
(select iif(count(*) = 7, sum(t3.daily), NULL)
from (select top 7 t2.daily
from table t2
where t2.id <= t.id
order by t2.id desc
) t3
) as weekly
from table t;
EDIT:
If we assume that the ids are assigned sequentially with no gaps, then you can use an explicit join:
select t.id, t.daily,
iif(count(*) = 7, sum(t2.daily), NULL) as weekly
from table t inner join
table t2
on t2.id between t.id - 6 and t.id
group by t.id, t.daily;