Transposing SQLite rows and columns with average per hour - sql

I have a table in SQLite called param_vals_breaches that looks like the following:
id param queue date_time param_val breach_count
1 c a 2013-01-01 00:00:00 188 7
2 c b 2013-01-01 00:00:00 156 8
3 c c 2013-01-01 00:00:00 100 2
4 d a 2013-01-01 00:00:00 657 0
5 d b 2013-01-01 00:00:00 23 6
6 d c 2013-01-01 00:00:00 230 12
7 c a 2013-01-01 01:00:00 100 0
8 c b 2013-01-01 01:00:00 143 9
9 c c 2013-01-01 01:00:00 12 2
10 d a 2013-01-01 01:00:00 0 1
11 d b 2013-01-01 01:00:00 29 5
12 d c 2013-01-01 01:00:00 22 14
13 c a 2013-01-01 02:00:00 188 7
14 c b 2013-01-01 02:00:00 156 8
15 c c 2013-01-01 02:00:00 100 2
16 d a 2013-01-01 02:00:00 657 0
17 d b 2013-01-01 02:00:00 23 6
18 d c 2013-01-01 02:00:00 230 12
I want to write a query that will show me a particular queue (e.g. "a") with the average param_val and breach_count for each param on an hour by hour basis. So transposing the data to get something that looks like this:
Results for Queue A
Hour 0 Hour 0 Hour 1 Hour 1 Hour 2 Hour 2
param avg_param_val avg_breach_count avg_param_val avg_breach_count avg_param_val avg_breach_count
c xxx xxx xxx xxx xxx xxx
d xxx xxx xxx xxx xxx xxx
is this possible? I'm not sure how to go about it. Thanks!

SQLite does not have a PIVOT function but you can use an aggregate function with a CASE expression to turn the rows into columns:
select param,
avg(case when time = '00' then param_val end) AvgHour0Val,
avg(case when time = '00' then breach_count end) AvgHour0Count,
avg(case when time = '01' then param_val end) AvgHour1Val,
avg(case when time = '01' then breach_count end) AvgHour1Count,
avg(case when time = '02' then param_val end) AvgHour2Val,
avg(case when time = '02' then breach_count end) AvgHour2Count
from
(
select param,
strftime('%H', date_time) time,
param_val,
breach_count
from param_vals_breaches
where queue = 'a'
) src
group by param;
See SQL Fiddle with Demo

Related

Query to get First Value and Second value with Filter

I have the following need but I am not able to get an effective query:
ID
DATE
PARCEL
STATUS
TYPE
DT_PAY
DT
1
2021-10-15
28
3
R
2021-10-15
2021-10-15
2
2021-11-15
29
0
R
1900-01-01
2021-11-15
3
2021-12-15
30
3
R
2021-12-15
2021-12-15
4
2022-01-15
31
3
R
2022-01-15
2022-01-15
5
2022-02-15
32
3
R
2022-02-15
2022-02-15
6
2022-03-15
33
0
R
1900-01-01
2022-03-15
7
2022-04-15
34
0
R
1900-01-01
2022-04-15
8
2022-05-15
35
0
R
1900-01-01
2022-05-15
9
2022-06-15
36
0
R
1900-01-01
2022-06-15
10
2022-07-15
37
3
R
2022-07-15
2022-07-15
With the data in the table above you would need the following result:
ID
DATE
PARCEL
STATUS
TYPE
DT_PAY
DT
6
2022-03-15
33
0
R
1900-01-01
2022-03-15
2
2021-11-15
29
0
R
1900-01-01
2021-11-15
It is necessary to list the first occurrence of a line where STATUS = 0 appears after a line with STATUS = 3 appears, and the second time this occurs after another line appears with STATUS = 3 as well, but being from the most current to the oldest date, in this case the date 2022-03-15 is more current and the date 2021-11-15 is more old one that meets the STATUS = 0 filter appears after a line with STATUS = 3 appears
My query only works to find STATUS=3, but needed it to be the same for STATUS=0
with TopDates as
(select row_number() over (order by DT desc) as Row, *
from DBO.TABLE
WHERE DT < GETDATE ()
AND DT_PAY <> '1900-01-01'
AND STATUS = '3'
)
select
TB.ID
,TB.DATE
,TB.PARCEL
,TB.STATUS
,TB.DT_PAY
,TB.DT
from TopDates TB
where Row<=2
Just add an OR clause in there?
Or am I not understanding you correctly?
`with TopDates as
(select row_number() over (order by DT desc) as Row, *
from DBO.TABLE
WHERE DT < GETDATE ()
AND DT_PAY <> '1900-01-01'
AND STATUS = '3'
OR STATUS = '0'
)
select
TB.ID
,TB.DATE
,TB.PARCEL
,TB.STATUS
,TB.DT_PAY
,TB.DT
from TopDates TB
where Row<=2

convert data wide to long with make sequential date in postgresql

I have data frame with date like below :
id start_date end_date product supply_per_day
1 2020-03-01 2020-03-01 A 10
1 2020-03-01 2020-03-01 B 10
1 2020-03-01 2020-03-02 A 5
2 2020-02-28 2020-03-02 A 10
2 2020-03-01 2020-03-03 B 4
2 2020-03-02 2020-03-05 A 5
I want make this data wide to long like :
id date product supply_per_day
1 2020-03-01 A 10
1 2020-03-01 B 10
1 2020-03-01 A 5
1 2020-03-02 A 5
2 2020-02-28 A 10
2 2020-03-01 A 10
2 2020-03-02 A 10
2 2020-03-01 B 4
2 2020-03-02 B 4
2 2020-03-03 B 4
2 2020-03-02 B 5
2 2020-03-03 B 5
2 2020-03-04 B 5
2 2020-03-05 B 5
give me some idea please
For Oracle 12c and later, you can use:
SELECT t.id,
d.dt,
t.product,
t.supply_per_day
FROM table_name t
OUTER APPLY(
SELECT start_date + LEVEL - 1 AS dt
FROM DUAL
CONNECT BY start_date + LEVEL - 1 <= end_date
) d
Which, for the sample data:
CREATE TABLE table_name ( id, start_date, end_date, product, supply_per_day ) AS
SELECT 1, DATE '2020-03-01', DATE '2020-03-01', 'A', 10 FROM DUAL UNION ALL
SELECT 1, DATE '2020-03-01', DATE '2020-03-01', 'B', 10 FROM DUAL UNION ALL
SELECT 1, DATE '2020-03-01', DATE '2020-03-02', 'A', 5 FROM DUAL UNION ALL
SELECT 2, DATE '2020-02-28', DATE '2020-03-02', 'A', 10 FROM DUAL UNION ALL
SELECT 2, DATE '2020-03-01', DATE '2020-03-03', 'B', 4 FROM DUAL UNION ALL
SELECT 2, DATE '2020-03-02', DATE '2020-03-05', 'A', 5 FROM DUAL;
Outputs:
ID
DT
PRODUCT
SUPPLY_PER_DAY
1
2020-03-01 00:00:00
A
10
1
2020-03-01 00:00:00
B
10
1
2020-03-01 00:00:00
A
5
1
2020-03-02 00:00:00
A
5
2
2020-02-28 00:00:00
A
10
2
2020-02-29 00:00:00
A
10
2
2020-03-01 00:00:00
A
10
2
2020-03-02 00:00:00
A
10
2
2020-03-01 00:00:00
B
4
2
2020-03-02 00:00:00
B
4
2
2020-03-03 00:00:00
B
4
2
2020-03-02 00:00:00
A
5
2
2020-03-03 00:00:00
A
5
2
2020-03-04 00:00:00
A
5
2
2020-03-05 00:00:00
A
5
db<>fiddle here
In Postgres you can use generate_series() for this:
select t.id, g.day::date as date, t.product, t.supply_per_day
from the_table t
cross join generate_series(t.start_date, t.end_date, interval '1 day') as g(day)
order by t.id, g.day

How to group data weekly in column and hourly in row

I have data like following
ID SalesTime Qty Unit Price Item
1 01/01/2021 08:10:00 10 10 A
2 01/01/2021 11:30:00 2 9 B
3 01/01/2021 11:59:50 1 8 C
4 01/02/2021 13:00:00 5 15 D
5 01/03/2021 10:00:00 4 10 A
6 01/03/2021 12:00:00 5 9 B
7 01/03/2021 12:50:00 6 15 D
8 01/04/2021 10:50:00 5 8 C
9 01/04/2021 11:10:00 2 10 A
10 ............
I wanna summarize the total into the form,
for example:
Mon Tue Wed Thu Fri Sat Sun
08:00~09:59 20 21 50 100 60 70 210
10:00~11:59 60 25 60 90 75 80 200
12:00~13:59 100 10 50 60 70 50 150
How to do that in MS SQL, thanks a lot.
You can extract the hour and divide by two for the rows. And then use conditional aggregation for the columns. Assuming you want the total of the price times quantity:
select convert(time, dateadd(hour, 2 * (datepart(hour, salestime) / 2), 0)) as hh,
sum(case when datename(weekday, salestime) = 'Monday' then qty * unit_price end) as mon,
sum(case when datename(weekday, salestime) = 'Tuesday' then qty * unit_price end) as tue,
. . .
from t
group by datepart(hour, salestime) / 2
order by min(salestime);
Note: This just returns the beginning of the time period, rather than the full range.

My SQL Query is working on one date, but I want start date to end date

I am using SQL Server 2005
I have two tables:
CheckInOut
TR BadgeNum USERID Dated Time CHECKTYPE
------- --------- ------ ----------------------- ----------------------- ----------
2337334 4 1 2018-04-01 00:00:00.000 2018-04-14 10:10:58.000 I
2337334 4 1 2018-04-01 00:00:00.000 2018-04-14 18:10:00.000 O
2337334 4 1 2018-04-02 00:00:00.000 2018-04-14 10:00:10.000 I
2337335 4 1 2018-04-02 00:00:00.000 2018-04-14 18:14:27.000 O
2337336 4 1 2018-04-03 00:00:00.000 2018-04-14 10:22:10.000 I
2337334 4 1 2018-04-03 00:00:00.000 2018-04-14 18:03:11.000 O
2337337 44 5 2018-04-01 00:00:00.000 2018-04-14 09:27:03.000 I
2337337 44 5 2018-04-01 00:00:00.000 2018-04-14 18:27:42.000 O
2337337 44 5 2018-04-02 00:00:00.000 2018-04-14 10:00:50.000 I
2337337 44 5 2018-04-02 00:00:00.000 2018-04-14 18:02:25.000 O
2337337 44 5 2018-04-03 00:00:00.000 2018-04-14 08:58:36.000 I
2337337 44 5 2018-04-03 00:00:00.000 2018-04-14 18:12:18.000 O
UserInfo
Tr UserID BadgeNumber Name
----- ------- ----------- --------------
13652 44 5 SAMIA NAZ
13653 4 1 Waqar Yousufzai
I need to calculate presence hours for each day for each user. My below query is working fine for given day. But I need to calculate for a given range. How do I get expected result?
Select isnull(max(ch.userid), 0)As 'ID'
,isnull(max(ch.badgenum), 0)as 'Badge#'
,isnull(max(convert(Char(10), ch.dated, 103)), '00:00')as 'Date'
,isnull(max(ui.name),'Empty')as 'Name'
,isnull(min(convert(VARCHAR(26), ch.time, 108)), '00:00') as 'Time In'
,case when min(ch.time) = max(ch.time) then '' else isnull(max(convert(VARCHAR(26), ch.time, 108)), '00:00') end as 'TimeOut'
,case when min(ch.time) = max(ch.time) then 'Absent' else 'Present' end as 'Status'
,isnull(CONVERT(varchar(3),DATEDIFF(minute,min(ch.time), max(ch.time))/60) + ' hrs and ' +
RIGHT('0' + CONVERT(varchar(2),DATEDIFF(minute,min(ch.time),max(ch.time))%60),2) + 'Min' , 0) as 'Total Hrs'
From CHECKINOUT ch left Join userinfo ui on ch.badgenum = ui.badgenumber
Where ch.Dated between '2018-04-01' and '2018-04-03' GROUP BY ch.badgenum
Query result
ID Badge# Date Name Time In TimeOut Status Total Hrs
--- ------ ---------- --------------- -------- ---------- -------- -----------------
4 1 03/04/2018 Waqar Yousufzai 11:33:34 18:24:23 Present 30 hrs and 14Min
82 3 03/04/2018 TANVEER ANSARI 09:37:14 19:18:22 Present 32 hrs and 37Min
13 4 03/04/2018 07:19:26 09:30:17 Present 21 hrs and 49Min
44 5 03/04/2018 SAMIA NAZ 08:53:15 18:25:21 Present 33 hrs and 24Min
28 7 03/04/2018 Anees Ahmad 08:34:57 22:00:38 Present 61 hrs and 25Min
46 8 03/04/2018 Shazia - OT 08:10:41 16:15:05 Present 32 hrs and 01Min
Expected result
ID Badge# Date Name Time In TimeOut Status Total Hrs
--- ------ ---------- --------------- -------- ---------- -------- -----------------
4 1 01/04/2018 Waqar Yousufzai 10:30:00 18:00:00 Present 7 hrs and 30Min
4 1 02/04/2018 Waqar Yousufzai 10:30:00 18:00:00 Present 7 hrs and 30Min
4 1 03/04/2018 Waqar Yousufzai 10:00:00 18:00:00 Present 8 hrs and 00Min
44 5 01/04/2018 SAMIA 08:00:00 18:00:00 Present 10 hrs and 00Min
44 5 02/04/2018 SAMIA 08:30:00 18:00:00 Present 9 hrs and 30Min
44 5 03/04/2018 SAMIA 08:00:00 18:00:00 Present 10 hrs and 00Min
You shouldn't do aggregation on date value, it must be part of grouping. Get time out and time in using conditional aggregation. And count total hours worked. Your query should be something like:
select
BadgeNum, USERID, Dated, Name
, right('0' + cast(datediff(mi, [in], [out]) / 60 as varchar(10)), 2) + ':'
+ right('0' + cast(datediff(mi, [in], [out]) % 60 as varchar(10)), 2)
from (
select
ch.BadgeNum, ch.USERID, dated = cast(ch.Dated as date), ui.Name
, [in] = min(case when ch.CHECKTYPE = 'I' then ch.Time end)
, [out] = min(case when ch.CHECKTYPE = 'O' then ch.Time end)
from
CheckInOut ch
left join UserInfo ui on ch.USERID = ui.badgenumber
where
ch.Dated >= '20180401'
and ch.Dated < '20180404'
group by ch.BadgeNum, ch.USERID, cast(ch.Dated as date), ui.Name
) t

Update a Field/Column based on Current and Previous Record Value

I need assistance with updating a field/column "IsLatest" based on the comparison between the current and previous record. I'm using CTE's syntax and I'm able to get the current and previous record but I'm unable updated field/column "IsLatest" which I need based on the field/column "Value" of the current and previous record.
Example
Current Output
Dates Customer Value IsLatest
2010-01-01 00:00:00.000 1 12 1
Dates Customer Value IsLatest
2010-01-01 00:00:00.000 1 12 0
2010-01-02 00:00:00.000 1 30 1
Dates Customer Value IsLatest
2010-01-01 00:00:00.000 1 12 0
2010-01-02 00:00:00.000 1 30 0
2010-01-03 00:00:00.000 1 13 1
Expected Final Output
Dates Customer Value ValueSetId IsLatest
2010-01-01 00:00:00.000 1 12 12 0
2010-01-01 00:00:00.000 1 12 13 0
2010-01-01 00:00:00.000 1 12 14 0
2010-01-02 00:00:00.000 1 30 12 0
2010-01-02 00:00:00.000 1 30 13 0
2010-01-02 00:00:00.000 1 30 14 0
2010-01-03 00:00:00.000 1 13 12 0
2010-01-03 00:00:00.000 1 13 13 0
2010-01-03 00:00:00.000 1 13 14 0
2010-01-04 00:00:00.000 1 14 12 0
2010-01-04 00:00:00.000 1 14 13 0
2010-01-04 00:00:00.000 1 14 14 1
;WITH a AS
(
SELECT
Dates Customer Value,
row_number() over (partition by customer order by Dates desc, ValueSetId desc) rn
FROM #Customers)
SELECT Dates, Customer, Value, case when RN = 1 then 1 else 0 end IsLatest
FROM a