Hi Here is my SQL code:
SELECT a."Date", a."Missed", b."Total Client Schedules", cast(100-((a."Missed"*100) / b."Total Client Schedules")AS decimal) as "Pct Completed" -
FROM -
( -
SELECT DATE(scheduled_start) as "Date",count(*) as "Missed" FROM -
events WHERE node_name IS NOT NULL AND status IN ('Missed') GROUP BY DATE(scheduled_start) -
) as a, -
( -
SELECT DATE(scheduled_start) as "Date", count(*) as -
"Total Client Schedules" FROM events WHERE node_name IS NOT NULL GROUP BY DATE(scheduled_start) -
) as b -
WHERE a."Date" = b."Date" ORDER BY "Date" desc
and Here is the output
Date Missed Total Client Schedules Pct Completed
----------- ------------ ----------------------- --------------
2013-02-20 2 805 100
2013-02-19 14 805 99
2013-02-18 29 805 97
2013-02-17 59 805 93
2013-02-16 29 806 97
2013-02-15 49 805 94
2013-02-14 33 805 96
2013-02-13 57 805 93
2013-02-12 21 805 98
2013-02-11 35 805 96
2013-02-10 34 805 96
it always seems to round to the highest number when i want it to be like 99.99% or 97.2% etc..
You don't specify what database you are using. However, some databases do integer arithmetic, so 1/2 is 0 not 0.5.
To fix this, just make the constants you are using numeric rather than integer:
cast(100.0-((a."Missed"*100.0) / b."Total Client Schedules")AS decimal)
It will then convert to a non-integer type for the arithmetic.
Related
I have a query:
SELECT
date,
COUNT(o.row_number)FILTER (WHERE o.row_number > 1 AND date_ddr IS NOT NULL AND telephone_number <> 'Anonymous' ) repeat_calls_24h
(
SELECT
telephone_number,
date_ddr,
ROW_NUMBER() OVER(PARTITION BY ddr.telephone_number ORDER BY ddr.date) row_number,
FROM
table_a
)o
GROUP BY 1
Generating the following table:
date
Repeat calls_24h
17/09/2022
182
18/09/2022
381
19/09/2022
81
20/09/2022
24
21/09/2022
91
22/09/2022
110
23/09/2022
231
What can I add to my query to provide a sum of the previous three days as below?:
date
Repeat calls_24h
Repeat Calls 3d
17/09/2022
182
18/09/2022
381
19/09/2022
81
644
20/09/2022
24
486
21/09/2022
91
196
22/09/2022
110
225
23/09/2022
231
432
Thanks
We can do it using lag.
select "date"
,"Repeat calls_24h"
,"Repeat calls_24h" + lag("Repeat calls_24h") over(order by "date") + lag("Repeat calls_24h", 2) over(order by "date") as "Repeat Calls 3d"
from t
date
Repeat calls_24h
Repeat Calls 3d
2022-09-17
182
null
2022-09-18
381
null
2022-09-19
81
644
2022-09-20
24
486
2022-09-21
91
196
2022-09-22
110
225
2022-09-23
231
432
Fiddle
CONumber, LineNumber, PartNumber, OrderQty, ScheduleDate, OnHandQty columns are a pure SELECT query with no transformations. I am trying to recreate the RollingOnHand column in SQL.
The rules are
If a part only has one row, report the real [OnHandQty]
If a part has multiple rows, the oldest order consumes its [OrderQty] from [OnHandQty]
The next oldest order pulls its [OrderQty] from the remaining [OnHandQty], repeat until final row of the matching part
The last row of a given part will display the remaining [OnHandQty]
Is this possible to accomplish in an SQL query?
CONumber
LineNumber
PartNumber
OrderQty
ScheduleDate
OnHandQty
RollingOnHand
C02959
00002
Part 01
102
2022-04-01
0
0
C04017
00001
Part 02
2007
2022-04-01
5099
5099
C04107
00001
Part 03
1
2022-03-09
0
0
C04106
00001
Part 04
1
2022-03-09
0
0
C04108
00001
Part 05
1
2022-03-09
0
0
C03514
00002
Part 06
250
2022-03-11
310
250
C03514
00003
Part 06
250
2022-03-18
310
60
C03757
00001
Part 06
250
2022-04-06
310
0
C04225
00002
Part 07
40
2022-03-31
53
53
C03965
00002
Part 08
24
2022-04-04
0
0
C04034
00001
Part 09
88
2022-03-18
128
128
C04144
00002
Part 10
22
2022-04-04
0
0
C04141
00001
Part 10
100
2022-04-04
0
0
C03734
00003
Part 11
116
2022-03-29
103
103
C03379
00001
Part 12
128
2022-03-07
19
19
C03344
00003
Part 13
40
2022-03-11
5
5
C04058
00001
Part 14
407
2022-03-25
0
0
C03697
00002
Part 15
436
2022-04-04
235
235
C03689
00002
Part 16
111
2022-03-16
87
87
C03690
00001
Part 16
250
2022-03-23
87
0
C03690
00002
Part 16
250
2022-04-06
87
0
C03240
00004
Part 17
3
2022-03-16
30
3
C03725
00001
Part 17
250
2022-03-16
30
27
C03725
00002
Part 17
250
2022-03-23
30
0
C03726
00001
Part 17
250
2022-04-01
30
0
C03726
00002
Part 17
250
2022-04-06
30
0
C03596
00017
Part 18
56
2022-04-06
344
344
C03927
00001
Part 19
600
2022-04-04
1800
600
C03927
00002
Part 19
1000
2022-04-06
1800
1200
I think this basically does what you need (Fiddle)
WITH T AS
(
SELECT *,
AlreadyConsumed = SUM(OrderQty) OVER (PARTITION BY [PartNumber] ORDER BY ScheduleDate ASC ROWS BETWEEN UNBOUNDED PRECEDING AND 1 PRECEDING),
PrevLineNumber = LAG([LineNumber]) OVER (PARTITION BY [PartNumber] ORDER BY ScheduleDate ASC),
NextLineNumber = LEAD([LineNumber]) OVER (PARTITION BY [PartNumber] ORDER BY ScheduleDate ASC)
FROM Demo
)
SELECT CONumber,
LineNumber,
PartNumber,
OrderQty,
ScheduleDate,
OnHandQty,
RollingOnHand = CASE
--If a part only has one row, report the real [OnHandQty]
WHEN PrevLineNumber IS NULL
AND NextLineNumber IS NULL THEN OnHandQty
--Not the last row and won't use all the remainder up
WHEN NextLineNumber IS NOT NULL AND Remainder > OrderQty THEN OrderQty
--otherwise use what's left
ELSE Remainder
END
FROM T
CROSS APPLY (SELECT CASE WHEN AlreadyConsumed > OnHandQty THEN 0 ELSE OnHandQty - ISNULL(AlreadyConsumed,0) END) C(Remainder)
The
SUM ... PARTITION BY [PartNumber] ... ROWS BETWEEN UNBOUNDED PRECEDING AND 1 PRECEDING computes the cumulative OrderQty for all rows before the current row (not including it)
The LAG/ LEAD results are used as indicators to determine whether we are in the first/last rows of a partition and special logic is needed.
I didn't quite follow the rationale behind the business logic so I may have made some invalid simplifications but it returns the desired results with the sample data and anyway the query should be easy to tweak if needed.
This is a sample Data Frame
Date Items_Sold
12/29/2019 10
12/30/2019 20
12/31/2019 30
1/1/2020 40
1/2/2020 50
1/3/2020 60
1/4/2020 35
1/5/2020 56
1/6/2020 34
1/7/2020 564
1/8/2020 6
1/9/2020 45
1/10/2020 56
1/11/2020 45
1/12/2020 37
1/13/2020 36
1/14/2020 479
1/15/2020 47
1/16/2020 47
1/17/2020 578
1/18/2020 478
1/19/2020 3578
1/20/2020 67
1/21/2020 578
1/22/2020 478
1/23/2020 4567
1/24/2020 7889
1/25/2020 8999
1/26/2020 99
1/27/2020 66
1/28/2020 678
1/29/2020 889
1/30/2020 990
1/31/2020 58585
2/1/2020 585
2/2/2020 555
2/3/2020 56
2/4/2020 66
2/5/2020 66
2/6/2020 6634
2/7/2020 588
2/8/2020 2588
2/9/2020 255
I am running this query
%sql
use my_items_table;
select weekofyear(Date), count(items_sold) as Sum
from my_items_table
where year(Date)=2020
group by weekofyear(Date)
order by weekofyear(Date)
I am getting this output. (IMP: I have added random values in Sum)
Week Sum
1 | 300091
2 | 312756
3 | 309363
4 | 307312
5 | 310985
6 | 296889
7 | 315611
But I want in which with week number one column should hold a start date of each week. Like this
Start_Date Week Sum
12/29/2019 1 300091
1/5/2020 2 312756
1/12/2020 3 309363
1/19/2020 4 307312
1/26/2020 5 310985
2/2/2020 6 296889
2/9/2020 7 315611
I am running the query on Azure Data Bricks.
If you have data for all days, then just use min():
select min(date), weekofyear(Date), count(items_sold) as Sum
from my_items_table
where year(Date) = 2020
group by weekofyear(Date)
order by weekofyear(Date);
Note: The year() is the calendar year starting on Jan 1. You are not going to get dates from other years using this query. If that is an issue, I would suggest that you ask a new question asking how to get the first day for the first week of the year.
Hello currently I have a working script below. I am using Oracle 10
SELECT z.no as "ID_One",
MAX(r.value) as "Max",
round(MAX(r.value)/80000,2) as "ROUND"
FROM Table1 r, Table2 z
WHERE r.timestamp > ((SYSDATE - TO_DATE('01/01/1970 00:00:00', 'MM-DD-YYYY HH24:MI:SS')) * 24 * 60 * 60) - 80000
AND r.va=21
AND r.nor IN ('7','98','3','3')
AND r.nor = z.re
GROUP BY r.nor, r.varr, z.no;
It produces a table like this
ID_ONE MAX ROUND
105 500 232
106 232 32
333 23 .21
444 34 .321
I want to select a row call timestamp from table r. However when I add " r.timestamp " in to my query it produces 500 rows of data instead of 4. It looks like it is producing the the highest number for each timestamp instead. How would I produce a table that looks like this ? fyi timestamp column is in unix time. I can do the conversion myself. I just need to know how to get out these rows.
ID_ONE MAX ROUND TIMESTAMP
105 500 232 DEC 21,2021 10:00
106 232 32 DEC 21,2021 23:12
333 23 .21 DEC 31,2021 2:12
444 34 .321 DEC 31,2021 23:12
When I add the column time stamp it does not create what is above. What I am getting instead is something like that looks like this the other two ids are below in this 500 long row of data. I only wanted the 4 that is the highest value (MAX) from this set of time. ID_ONE is my id for a stock of inventory for a warehouse.
ID_ONE ROUND TIMESTAMP MAX
106 338
.06 1406694567
106 355
.06 1406696037
106 246
.04 1406696337
106 363
.06 1406700687
106 330
.06 1406700987
106 512
.09 1406701347
106 459
.08 1406704047
106 427
.07 1406711038
106 596
.1 1406713111
106 401
.07 1406715872
106 682
.11 1406726192
106 2776
.46 1406726492
105 414
.07 1406728863
105 380
.06 1406734055
105 378
.06 1406734655
105 722
.12 1406735555
105 144
.02 1406665697
105 5
I have edited my answer kindly try the below
SELECT z.no as "ID_One",
max(r.value) as "Max",
round(MAX(r.value)/80000,2) as "ROUND",r.Timestamp
FROM Table1 r, Table2 z
where r.timestamp > ((SYSDATE - TO_DATE ('01/01/1970 00:00:00', 'MM
-DD-YYYY HH24:MI:SS')) * 24 * 60 * 60) - 80000
and r.va=21
AND r.nor IN ('7','98','3','3')
AND r.value=(select max(r1.value) from Table1 r1 where r1.va=r.va and r1.nor=r.nor)
AND r.nor = z.re group by r.nor, r.varr, z.no;
This looks like an ideal use case for analytic functions:
SELECT
v1.*,
round(v1.value/80000,2) as rounded_max_value
FROM (
SELECT
z.no as id_one,
r.value,
row_number() over (partition by r.nor, r.varr, z.no order by r.value desc) as rn,
r.timestamp
FROM Table1 r, Table2 z
WHERE r.timestamp >
((SYSDATE - TO_DATE('01/01/1970 00:00:00', 'MM-DD-YYYY HH24:MI:SS')) * 24 * 60 * 60) - 80000
AND r.va=21
AND r.nor IN ('7','98','3','3')
AND r.nor = z.re
) v1
where v1.rn = 1
This query
uses row_number over (partition by .. order by ) to get an ordering of the rows within a group
uses rn = 1 in the outer query to get only the row having the maximum value
Some additional recommendations:
if your r.nor column is numeric, then don't use string literals; use IN (7,98,3,3) instead (BTW: why do you have 3 twice in your IN list?
don't use " for column aliases unless absolutely necessary (since it makes them case-sensitive) ; they are a PITA
don't put your JOIN conditions into the WHERE clause; it makes your query harder to read. Use ANSI style joins instead.
I previously found the solution to my problem but unfortunately I lost files on my harddrive and I can't find the statement I managed to produce.
I have 2 tables T2REQ and T2STOCK, both have 2 columns (typeID and quantity) and my problem reside in the fact that I can have multiple occurences of SAME typeID in BOTH tables.
What I'm trying to do is SUM(QUANTITY) grouped by typeID and substract the values of T2STOCK from T2REQ but since I have multiple occurences of same typeID in both tables, the SUM I get is multiplied by the number of occurences of typeID.
Here's a sample of T2REQ (take typeID 11399 for example):
typeID quantity
---------- ----------
34 102900
35 10500
36 3220
37 840
11399 700
563 140
9848 140
11486 28
11688 700
11399 390
4393 130
9840 390
9842 390
11399 390
11483 19.5
11541 780
And this is a sample of T2STOCK table :
typeID quantity
---------- ----------
9842 1921
9848 2400
11399 1700
11475 165
11476 27
11478 28
11481 34
11483 122
11476 2
And this is where I'm at for now, I know that the SUM(t2stock.quantity) is affected (multiplied) because of the JOIN 1 = 1 but whatever I tried, I'm not doing it in the right order:
SELECT
t2req.typeID, sum(t2req.quantity), sum(t2stock.quantity),
sum(t2req.quantity) - sum(t2stock.quantity) as diff
FROM t2req JOIN t2stock ON t2req.typeID = t2stock.typeID
GROUP BY t2req.typeID
ORDER BY diff DESC;
typeID sum(t2req.quantity) sum(t2stock.quantity) diff
---------- ------------------- --------------------- ----------
563 140 30 110
11541 780 780 0
11486 28 40 -12
11483 19.5 122 -102.5
9840 390 1000 -610
40 260 940 -680
9842 390 1921 -1531
9848 140 2400 -2260
11399 1480 5100 -3620
39 650 7650 -7000
37 1230 116336 -115106
36 28570 967098 -938528
35 33770 2477820 -2444050
34 102900 2798355 -2695455
You can see that SUM(t2req) for typeID 11399 is correct : 1480
And you can see that the SUM(t2stock) for typeID 11399 is not correct : 5100 instead of 1700 (which is 5100 divided by 3, the number of occurences in t2req)
What would be the best way to avoid multiplications because of multiple typeIDs (in both tables) with the JOIN for my sum substract ?
Sorry for the wall of text, just trying to explain as best as I can since english is not my mother tongue.
Thanks a lot for your help.
You can aggregate before join:
SELECT
t2req.typeID,
t2req.quantity,
t2stock.quantity,
t2req.quantity - t2stock.quantity as diff
FROM
(SELECT TypeID, SUM(Quantity) Quantity FROM t2req GROUP BY TypeID) t2req JOIN
(SELECT TypeID, SUM(Quantity) Quantity FROM t2stock GROUP BY TypeID) t2stock
ON t2req.typeID = t2stock.typeID
ORDER BY diff DESC;
Fiddle sample: http://sqlfiddle.com/#!7/06711/5
You can't do this in a single aggregation:
SELECT
COALESCE(r.typeID, s.typeID) AS typeID,
COALESCE(r.quantity, 0) AS req_quantity,
COALESCE(s.quantity, 0) AS stock_quantity,
COALESCE(r.quantity, 0) - COALESCE(s.quantity, 0) AS diff
FROM (
SELECT rr.typeID, SUM(rr.quantity) AS quantity
FROM t2req rr
GROUP BY rr.typeID
) r
CROSS JOIN (
SELECT ss.typeID, SUM(ss.quantity) AS quantity
FROM t2stock ss
GROUP BY ss.typeID
) s ON r.typeID = s.typeID
ORDER BY 4 DESC;