I have a little problem for you. I would like to sort by day, but if several with different times are sorted on the day, it separates them. How do I get it out that he only shows all day by day
My date field looks like this
Datum weight
2022-12-09 07:12:49.000 2150
2022-12-09 08:15:49.000 1250
My query
Select FORMAT(Datum, 'dd/MM/yyyy', 'de-DE') as Datum, SUM(weight)
FROM [Produktionsdaten].[dbo].[produktionedelstahl]
WHERE Anlage IN ('Bonak 2')
AND YEAR(Datum)=YEAR(CURRENT_TIMESTAMP)
AND MONTH(Datum)=MONTH(CURRENT_TIMESTAMP)
group BY (Datum)
I want the day to be summarized
Datum weight
12-09-2022 3400
I think you were nearly there - just change the last line
Select FORMAT(Datum, 'dd/MM/yyyy', 'de-DE') as Datum, SUM(weight)
FROM [Produktionsdaten].[dbo].[produktionedelstahl]
WHERE Anlage IN ('Bonak 2')
AND YEAR(Datum)=YEAR(CURRENT_TIMESTAMP)
AND MONTH(Datum)=MONTH(CURRENT_TIMESTAMP)
group BY FORMAT(Datum, 'dd/MM/yyyy', 'de-DE')
could you try to perform the SELECT in this way.
SELECT FORMAT(DATE(Datum), 'dd/MM/yyyy', 'de-DE') AS Datum, SUM(weight)
FROM [Produktionsdaten].[dbo].[produktionedelstahl]
WHERE Anlage IN ('Bonak 2')
AND YEAR(Datum)=YEAR(CURRENT_TIMESTAMP)
AND MONTH(Datum)=MONTH(CURRENT_TIMESTAMP)
GROUP BY DATE(Datum)
You can do it by casting the DATETIME to a DATE and going from there.
SELECT CAST(Datum AS DATE) AS Datum, SUM(Weight) AS Weight
FROM [Produktionsdaten].[dbo].[produktionedelstahl]
GROUP BY CAST(Datum AS DATE)
Here is a very small sample script to demonstrate that this works:
DECLARE #Data TABLE (Datum DATETIME, Weight INT);
INSERT INTO #Data(Datum, Weight) VALUES ('2022-12-09 07:12:49.000', 2150), ('2022-12-09 08:15:49.000', 1250);
SELECT CAST(Datum AS DATE) AS Datum, SUM(Weight) AS Weight
FROM #Data
GROUP BY CAST(Datum AS DATE)
Output:
Datum
Weight
2022-12-09
3400
Related
I am attempting to produce Table2 below - which essentially counts the rows that have the same day and adds up the "amount" column for the rows that are on the same day.
I found a solution online that can count entries from the same day, which works:
SELECT
DATE_TRUNC('day', datetime) AS date,
COUNT(datetime) AS date1
FROM Table1
GROUP BY DATE_TRUNC('day', datetime);
It is partially what I am looking for, but I am having difficulty trying to display all the column names.
In my attempt, I have all the columns I want but the Accumulated Count is not accurate since it counts the rows with unique IDs (because I put "id" in GROUP BY):
SELECT *, count(id) OVER(ORDER BY DateTime) as accumulated_count,
SUM(Amount) OVER(ORDER BY DateTime) AS Accumulated_Amount
FROM Table1
GROUP BY date(datetime), id
I've been working on this for days and seemingly have come across every possible outcome that is not what I am looking for. Does anyone have an idea as to what I'm missing here?
Cumulative sum and count should be calculated for each day
with Table1 (id,datetime,client,product,amount) as(values
(1 ,to_timestamp('2020-07-08 07:30:10','YYYY-MM-DD HH24:MI:SS'),'Tom','Bill Payment',24),
(2 ,to_timestamp('2020-07-08 07:50:30','YYYY-MM-DD HH24:MI:SS'),'Tom','Bill Payment',27),
(3 ,to_timestamp('2020-07-09 08:20:10','YYYY-MM-DD HH24:MI:SS'),'Tom','Bill Payment',37)
)
SELECT
Table1.*,
count(*) over (partition by DATE_TRUNC('day', datetime)
order by datetime asc ) accumulated_count,
sum(amount) over (partition by DATE_TRUNC('day', datetime) order by datetime asc) accumulated_sum
FROM Table1;
Not to familiar with postgresql but this does what you ask fror.
with data (id,date_time,client,product,amount) as(
select 1 ,to_timestamp('Jul 08 2020, 07:30:10','Mon DD YYYY, HH24:MI:SS'),'Tom','Bill',24 Union all
select 2 ,to_timestamp('Jul 08 2020, 07:50:30','Mon DD YYYY, HH24:MI:SS'),'Tom','Bill',27 Union all
select 3 ,to_timestamp('Jul 09 2020, 08:20:10','Mon DD YYYY, HH24:MI:SS'),'Tom','Bill',37
)
select d.id,d.date_time,d.client,d.product,d.amount,
(select count(*) from data d1
where d1.date_time <= d.date_time and date(d1.date_time) = date(d.date_time) ) acc_count,
(select sum(amount) from data d1
where d1.date_time <= d.date_time and date(d1.date_time) = date(d.date_time) ) acc_amount
from data d
I wanted to take just the year and month from '2021-07-31 13:53:26' and group them based on count values.
i tried the date, datetime, strftime functions.
Date and Datetime resulting null. strftime result something, but i cant group the Year and Month i get with the count i want, resulting null again
Here is the preview of the data.
expected result example is like '2021-07' with the count of how many times this year and month occurs
This is the syntax i tried with strftime:
select strftime('%Y%m', started_at) year_month, count(year_month) from bike_trip
group by year_month
Thank You
Sqlite doesn't have a date data type so you will need to do string comparison to achieve this.
with d as (
select '2021-07-31 13:53:26' as d, 'A' val union all
select '2021-08-30 13:53:26' as d, 'B' val
)
select substr(d,1,4) as yyyy, substr(d,6,2) as mm, count(*)
from d
group by substr(d,1,4), substr(d,6,2)
in your query:
select substr(started_at,1,4) as yyyy, substr(started_at,6,2) as mm, count(*)
from bike_trip
group by substr(started_at,1,4), substr(started_at,6,2)
Use a CTE to get your answer.
with
-- uncomment to test
/*bike_trip(started_at) as (
values
('2021-07-31 13:53:26'),
('2021-07-17 19:06:01'),
('2021-08-30 13:53:26')
),*/
bike_months(year_month) as (
select strftime('%Y-%m', started_at) year_month from bike_trip
)
select year_month, count(year_month) count_year_month from bike_months
group by year_month;
Output:
year_month|count_year_month
2021-07|2
2021-08|1
I have the following situation:
ID DATE_TIME AMOUNT
23 14-MAY-2021 10:47:01 5
23 14-MAY-2021 11:49:52 3
23 14-MAY-2021 12:03:18 4
How can get the sum of the amount and take the DATE by day not hourly?
Example:
ID DATE_TIME TOTAL
23 20210514 12
I tried this way but i got error:
SELECT DISTINCT ID, TO_CHAR(DATE_TIME, 'YYYYMMDD'), SUM(AMOUNT) AS TOTAL FROM MY_TABLE
WHERE ID ='23' AND DATE_TIME > SYSDATE-1
GROUP BY TOTAL, DATE_TIME
You don't need DISTINCT if you use GROUP BY - anything that is grouped must be distinct unless it joined to something else later on that caused it to repeat again
You were almost there too
SELECT ID, TO_CHAR(DATE_TIME, 'YYYYMMDD') AS DATE_TIME, SUM(AMOUNT) AS TOTAL
FROM MY_TABLE
WHERE ID ='23' AND DATE_TIME > SYSDATE-1
GROUP BY ID, TO_CHAR(DATE_TIME, 'YYYYMMDD')
You need to group by the output of the function, not the input. Not every database can GROUP BY aliases used in the select (technically the SELECT hasn't been done by the time the GROUP is done so the aliases don't exist yet, and you wouldnt group by the total because that's an aggregate (the result of summing up every various value in the group)
If you need to do further work with that date, don't convert it to a string.. Cut the time off using TRUNC:
SELECT ID, TRUNC(DATE_TIME) as DATE_TIME, SUM(AMOUNT) AS TOTAL
FROM MY_TABLE
WHERE ID ='23' AND DATE_TIME > SYSDATE-1
GROUP BY ID, TRUNC(DATE_TIME)
TRUNC can cut a date down to other parts, for example TRUNC(DATE_TIME, 'HH24') will remove the minutes and seconds but leave the hours
Convert the DATE column to a string with the required accuracy and then group on that:
SELECT ID,
TO_CHAR("DATE", 'YYYY-MM-DD'),
SUM(AMOUNT) AS TOTAL FROM MY_TABLE
WHERE ID ='23'
AND "DATE" > SYSDATE-1
GROUP BY ID, TO_CHAR("DATE", 'YYYY-MM-DD')
or truncate the value so that the time component is set to midnight for each date:
SELECT ID,
TRUNC("DATE"),
SUM(AMOUNT) AS TOTAL FROM MY_TABLE
WHERE ID ='23'
AND "DATE" > SYSDATE-1
GROUP BY ID, TRUNC("DATE")
(Note: DATE is a keyword and cannot be used as an identifier unless you use a quoted-identifier; and you would need to use the quotes, and the exact case, everytime you refer to the column. You would be better to rename the column to something else that is not a keyword.)
I have a order details table and I want to find the sum of price by each date and display them as
For Ex
count sum date
5 619.95 2015-11-19
3 334.97 2015-11-18
4 734.96 2015-11-18
5 1129.95 2015-11-18
I have written the query for getting the count and sum as
select count(id), sum([price])
from [OrderDetails]
where [date]between '2015-10-29 05:15:00' and '2015-11-09 00:01:00'
group by datepart(day,[date])
But not able to achieve with date. How can it be done?
You need to include what you are grouping on in the SELECT portion of your query:
select count(id), sum([price]), datepart(day,[date]) as [date]
from [OrderDetails]
where [date] between '2015-10-29 05:15:00' and '2015-11-09 00:01:00'
group by datepart(day,[date]);
It seems like your column called date has both a date and time component. I would suggest converting it to a date, for both the select and group by:
select count(id), sum(price), cast([date] as date) as thedate
from OrderDetails
where [date] between '2015-10-29 05:15:00' and '2015-11-09 00:01:00'
group by cast([date] as date)
order by thedate;
Note: date is a poor name for a column, because it is the name of a built-in type.
I have an SQLite database which contains transactions, each of them having a price and a transDate.
I want to retrieve the sum of the transactions grouped by month. The retrieved records should be like the following:
Price month
230 2
500 3
400 4
it is always good while you group by MONTH it should check YEAR also
select SUM(transaction) as Price,
DATE_FORMAT(transDate, "%m-%Y") as 'month-year'
from transaction group by DATE_FORMAT(transDate, "%m-%Y");
FOR SQLITE
select SUM(transaction) as Price,
strftime("%m-%Y", transDate) as 'month-year'
from transaction group by strftime("%m-%Y", transDate);
You can group on the start of the month:
select date(DateColumn, 'start of month')
, sum(TransactionValueColumn)
from YourTable
group by
date(DateColumn, 'start of month')
Try the following:
SELECT SUM(price), strftime('%m', transDate) as month
FROM your_table
GROUP BY strftime('%m', transDate);
Use the corresponding page in SQLite documentation for future references.
SELECT
SUM(Price) as Price, strftime('%m', myDateCol) as Month
FROM
myTable
GROUP BY
strftime('%m', myDateCol)
This another form:
SELECT SUM(price) AS price,
STRFTIME('%Y-%m-01', created_at) as created_at
FROM records
GROUP BY STRFTIME('%Y-%m-01', created_at);
Another way is to substring the year and the month from the column and group by them. Assuming the format it's like 2021-05-27 12:58:00 you can substract the first 7 digits:
SELECT
substr(transDate, 1, 7) as YearMonth
SUM(price) AS price
FROM
records
GROUP BY
substr(transDate, 1, 7);
In Sqlite, if you are storing your date in unixepoch format, in seconds:
select count(myDate) as totalCount,
strftime('%Y-%m', myDate, 'unixepoch', 'localtime') as yearMonth
from myTable group by strftime('%Y-%m', myDate, 'unixepoch', 'localtime');
If you are storing the date in unixepoch format, in milliseconds, divide by 1000:
select count(myDate/1000) as totalCount,
strftime('%Y-%m, myDate/1000, 'unixepoch', 'localtime') as yearMonth
from myTable group by strftime('%Y-%m, myDate/1000, 'unixepoch', 'localtime');