I have a table with 4 cols.
HouseNo, Date, Time and Temp.
I have managed to obtain the different HouseNos in a separate table. Now i want to insert all the dates for all the house nos.
Sample Data from table. There are like a few million rows like this.
HouseNo Date Time Temp
102 1/1/2010 10:00 67
102 2/1/2010 10:00 73
102 3/1/2010 10:00 75
103 1/1/2010 10:00 69
103 2/1/2010 10:00 63
104 1/1/2010 10:00 71
104 2/1/2010 10:00 12
Expected Output is
table 1
102 1/1/2010
102 2/1/2010
102 3/1/2010
table 2
103 1/1/2010
103 2/1/2010
table 3
104 1/1/2010
104 2/1/2010
Then i want to be able to loop through each row in the tables derieved to perform some operation on the temperature field.
If you have one ON/OFF pair per day and the OFF is always before the ON, this gets you the duration.
SELECT
HouseNo,
Date,
DATEDIFF(s,
MIN(CASE WHEN Relay='OFF' THEN Time ELSE NULL END),
MIN(CASE WHEN Relay='ON' THEN Time ELSE NULL END)
) As OffDuration
FROM YourTable
GROUP BY HouseNo, Date
But any normal real life dataset will have multiple ON/OFF pairs. Can you give more detail?
something like this ?
CREATE TABLE new_table
AS (SELECT * FROM old_table);
you can also put some WHERE part and SELECT
Related
I have a transaction table that looks like that:
transaction_start store_no item_no amount post_voided
2021-03-01 10:00:00 001 101 45 N
2021-03-01 10:00:00 001 105 25 N
2021-03-01 10:00:00 001 109 40 N
2021-03-01 10:05:00 002 103 35 N
2021-03-01 10:05:00 002 135 20 N
2021-03-01 10:08:00 001 140 2 N
2021-03-01 10:11:00 001 101 -45 Y
2021-03-01 10:11:00 001 105 -25 Y
2021-03-01 10:11:00 001 109 -40 Y
The table does not have an id column; the transaction_start for a given store_no will never be the same.
Whenever a transaction is post voided, the transaction is then repeated with the same store_no, item_no but with a negative/minus amount and an equal or higher transaction_start. Also, the column post_voided is then equal to 'Y'.
In the example above, the rows 1-3 have the same transaction_start and store_no, thus belonging to the same receipt, containing three different items (101, 105, 109). The same logic is applied to the other rows: rows 4-5 belong to a same receipt, and so on. In the example, 4 different receipts can be seen. The last receipt, given by the last three rows, is a post voided of the first receipt (rows 1-3).
What I want to do is to change the transaction_start for the post_voided = 'Y' transactions (in my example, only one receipt - represented by the last three rows - has it) to the next/closest datetime of a similar receipt that has the variables store_no, item_no and (negative) amount (but post_voided = 'N') (in my example, the similar ticket is given by the first three rows - store_no, all item_no and (positive) amount match). The transaction_start for the post voided receipt is always equal or higher than the "original" receipt.
Desired output:
transaction_start store_no item_no amount post_voided
2021-03-01 10:00:00 001 101 45 N
2021-03-01 10:00:00 001 105 25 N
2021-03-01 10:00:00 001 109 40 N
2021-03-01 10:05:00 002 103 35 N
2021-03-01 10:05:00 002 135 20 N
2021-03-01 10:08:00 001 140 2 N
2021-03-01 10:00:00 001 101 -45 Y
2021-03-01 10:00:00 001 105 -25 Y
2021-03-01 10:00:00 001 109 -40 Y
Here a link of the table: https://dbfiddle.uk/?rdbms=sqlserver_2019&fiddle=26142fa24e46acb4213b96c86f4eb94b
Thanks in advance!
Consider below
select a.* replace(ifnull(b.transaction_start, a.transaction_start) as transaction_start)
from `project.dataset.table` a
left join (
select * replace(-amount as amount)
from `project.dataset.table`
where post_voided = 'N'
) b
using (store_no, item_no)
if applied to sample data in your question - output is
Consider below for new / extended example (https://dbfiddle.uk/?rdbms=sqlserver_2019&fiddle=91f9f180fd672e7c357aa48d18ced5fd)
select x.* replace(ifnull(y.original_transaction_start, x.transaction_start) as transaction_start)
from `project.dataset.table` x
left join (
select b.transaction_start, b.store_no, b.item_no, b.amount amount,
max(a.transaction_start) original_transaction_start
from `project.dataset.table` a
join `project.dataset.table` b
on a.store_no = b.store_no
and a.item_no = b.item_no
and a.amount = -b.amount
and a.post_voided = 'N'
and b.post_voided = 'Y'
and a.transaction_start < b.transaction_start
group by b.transaction_start, b.store_no, b.item_no, b.amount
) y
using (store_no, item_no, amount, transaction_start)
with output
I have 2 dimension tables and 1 fact table as follows:
user_dim
user_id
user_name
user_joining_date
1
Steve
2013-01-04
2
Adam
2012-11-01
3
John
2013-05-05
4
Tony
2012-01-01
5
Dan
2010-01-01
6
Alex
2019-01-01
7
Kim
2019-01-01
bundle_dim
bundle_id
bundle_name
bundle_type
bundle_cost_per_day
101
movies and TV
prime
5.5
102
TV and sports
prime
6.5
103
Cooking
prime
7
104
Sports and news
prime
5
105
kids movie
extra
2
106
kids educative
extra
3.5
107
spanish news
extra
2.5
108
Spanish TV and sports
extra
3.5
109
Travel
extra
2
plans_fact
user_id
bundle_id
bundle_start_date
bundle_end_date
1
101
2019-10-10
2020-10-10
2
107
2020-01-15
(null)
2
106
2020-01-15
2020-12-31
2
101
2020-01-15
(null)
2
103
2020-01-15
2020-02-15
1
101
2020-10-11
(null)
1
107
2019-10-10
2020-10-10
1
105
2019-10-10
2020-10-10
4
101
2021-01-01
2021-02-01
3
104
2020-02-17
2020-03-17
2
108
2020-01-15
(null)
4
102
2021-01-01
(null)
4
103
2021-01-01
(null)
4
108
2021-01-01
(null)
5
103
2020-01-15
(null)
5
101
2020-01-15
2020-02-15
6
101
2021-01-01
2021-01-17
6
101
2021-01-20
(null)
6
108
2021-01-01
(null)
7
104
2020-02-17
(null)
7
103
2020-01-17
2020-01-18
1
102
2020-12-11
(null)
2
106
2021-01-01
(null)
7
107
2020-01-15
(null)
note: NULL bundle_end_date refers to active subscription.
user active days can be calculated as: bundle_end_date - bundle_start_date (for the given bundle)
total revenue per user could be calculated as : total no. of active days * bundle rate per day
I am looking to write a query to find revenue generated per user per year.
Here is what I have for the overall revenue per user:
select pf.user_id
, sum(datediff(day, pf.bundle_start_date, coalesce(pf.bundle_end_date, getdate())) * bd.price_per_day) total_cost_per_bundle
from plans_fact pf
inner join bundle_dim bd on bd.bundle_id = pf.bundle_id
group by pf.user_id
order by pf.user_id;
You need a 'year' table to help parse out each multi-year spanning row into it's seperate years. For each year, you need to also recalculate the start and end dates. That's what I do in the yearParsed cte in the code below. I hard code the years into the join statement that creates y. You probably will do it different but however you get those values will work.
After that, pretty much sum as you did before, just adding the year column to your grouping.
Aside from that, all I did was move the null coalesce logic to the cte to make the overall logic simpler.
with yearParsed as (
select pf.*,
y.year,
startDt = iif(pf.bundle_start_date > y.startDt, pf.bundle_start_date, y.startDt),
endDt = iif(ap.bundle_end_date < y.endDt, ap.bundle_end_date, y.endDt)
from plans_fact pf
cross apply (select bundle_end_date = isnull(pf.bundle_end_date, getdate())) ap
join (values
(2019, '2019-01-01', '2019-12-31'),
(2020, '2020-01-01', '2020-12-31'),
(2021, '2021-01-01', '2021-12-31')
) y (year, startDt, endDt)
on pf.bundle_start_date <= y.endDt
and ap.bundle_end_date >= y.startDt
)
select yp.user_id,
yp.year,
total_cost_per_bundle = sum(datediff(day, yp.startDt, yp.endDt) * bd.bundle_cost_per_day)
from yearParsed yp
join bundle_dim bd on bd.bundle_id = yp.bundle_id
group by yp.user_id,
yp.year
order by yp.user_id,
yp.year;
Now, if this is common, you should probably create a base-table for your 'year' table. But if it's not common, but for this report you don't want to have to keep coming back to hard-code the year information into the y table, you can do this:
declare #yearTable table (
year int,
startDt char(10),
endDt char(10)
);
with y as (
select year = year(min(pf.bundle_start_date))
from #plans_fact pf
union all
select year + 1
from y
where year < year(getdate())
)
insert #yearTable
select year,
startDt = convert(char(4),year) + '-01-01',
endDt = convert(char(4),year) + '-12-31'
from y;
and it will create the appropriate years for you. But you can see why creating a base table may be preferred if you have this or a similar need often.
I'm working with PostgreSQL. I have two database tables,i want to get the min and max date stored in table1 daterange column which is of type character varying. table1 and table2 is mapped using sid. i want to get the max and min date range of table1 when compared with sid of table2. Please find the demo here. The result is wrong.
table1:
sid daterange
100 5/25/2017
101 1/24/2017
102 4/4/2014
103 11/12/2007
104 4/24/2012
105 01/15/2017
106 1/1/2017
107 3/11/2016
108 10/10/2001
109 1/10/2016
110 12/12/2016
111 4/24/2017
112 06/28/2015
113 5/24/2017
114 5/22/2017
table2:
sid description
100 success
101 pending
104 pending
105 success
106 success
107 success
110 success
111 pending
112 failed
113 failed
114 pending
Below is my query:
select min(daterange) as minDate,max(daterange) as maxDate from (SELECT to_date(table1.daterange, 'DD/MM/YYYY') as daterange FROM table1,table2 where
table1.sid = table2.sid) tt;
The result is as below which is wrong(mindate and maxdate displayed are wrong dates).
mindate maxdate
2013-12-07 2019-01-07
Please advice. daterange column in table1 is of type character varying.I cannot use ::date to convert to date type, because i need to use this query in my java hibernate code and the java code is not recognizing ::
You have day and month mixed up in the date format string.
Should be
to_date(table1.daterange, 'MM/DD/YYYY')
I have a table that looks like this
[Serial Number] [EventNumber] [DateTimeStamp] [DataElement] [DataValue]
XXXX1 1 7/7/2013 10:00 AM Height 62
XXXX1 1 7/7/2013 10:00 AM Mass 12
XXXX1 1 8/3/2013 3:00 PM Length 13
XXXX1 1 8/3/2013 3:00 PM Width 60
XXXX1 2 10/10/2013 10:00 AM Height 22
XXXX1 2 10/10/2013 10:00 AM Mass 21
XXXX1 2 10/12/2013 10:00 AM Length 7
XXXX1 2 10/12/2013 11:00 AM Width 67
Workers in the factory enter the data through a web interface and it ends up in this table. The table contains hundreds of serial numbers and each serial number can have up to 19 or more events. Each event is some parameters that are measured. After the measurements are taken some modifications are done and the measurements get taken again for a sequential event.
I would like to create a table that looks like this for one specific serial number through SQL query
[Serial Number] [EventNumber] [Height] [Mass] [Width] [Lenght]
XXXX1 1 62 12 13 20
XXXX1 2 10 etc etc
XXXX1 3 etc
XXXX1 4 etc
I know I need to use the pivot, but I can't necessarily come up with correct SQL code.
Note: The data used in this example is made up, but the structure is all the same.
Thanks in advance
try this:
TRANSFORM Sum(t.DataValue) AS SumOfDataValue
SELECT t.[Serial Number], t.EventNumber
FROM Table1 AS t
GROUP BY t.[Serial Number], t.EventNumber
PIVOT t.DataElement;
Let me know if any problems.
I have a table that looks like this:
Timestamp Event User
================ ===== =====
1/1/2010 1:00 PM 100 John
1/1/2010 1:00 PM 103 Mark
1/2/2010 2:00 PM 100 John
1/2/2010 2:05 PM 100 Bill
1/2/2010 2:10 PM 103 Frank
I want to write a query that shows the events for each day and a count for those events. Something like:
Date Event EventCount
======== ===== ==========
1/1/2010 100 1
1/1/2010 103 1
1/2/2010 100 2
1/2/2010 103 1
The database is SQL Server Compact, so it doesn't support all the features of the full SQL Server. The query I have written so far is
SELECT DATEADD(dd, DATEDIFF(dd, 0, Timestamp), 0) as Date, Event, Count(Event) as EventCount
FROM Log
GROUP BY Timestamp, Event
This almost works, but EventCount is always 1. How can I get SQL Server to return the correct counts? All fields are mandatory.
Change your goup by to
GROUP BY DATEADD(dd, DATEDIFF(dd, 0, Timestamp), 0), Event