I have a table where the data updates every hour and I need to subtract the number of quantities as of today and what was 60 days back. How can that be done in SQL?
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I am storing start and finish session timestamps on a table called 'records' 1
An individual can sign in and out multiple times in a day.
I'd like to tally up the total time accummulated each day, and display the total seconds each day. The result should have the columns EmployeeID and a column for each day. Where there are no log in or out records, it should state 0.2
Need help to get the data of particular format
We have a table which have a data which of production now we need to select the data of each day with particular time period which is differentiate between three shift A,B,C.
In our table we have a datetime column which capture's each seconds data now that data we need in shiftwise like 6am to 2pm is of A shift production count and 2pm to 10pm of shift B and 10pm to 6 am of shift C.
here i am getting the data for single day where i have written the below query which is working good.
select distinct(count(PRD_SERIAL_NUMBER)),(select convert(date,getdate())) as date,'B' as shift_name
from table_name
where status=02
and LAST_UPDATED_DATE
between (SELECT FORMAT(GETDATE(),'yyyy-MM-dd 14:01:00.000')) and
(SELECT FORMAT(GETDATE()-26,'yyyy-MM-dd 22:01:00.000'))
refer below output image 1
Here i am getting the count for single day and for upcoming days i have solution but now the question arise is i have a past 4 Month data which i need to get in datewise and shiftwise count and for the column prd_serial_number have duplicate entries so it should be in distinct.
please refer below image 2 for required output format
I have a table where I maintain working days in a week like 2nd and 4th day and number of records it can accept is 10 records per working day
usercode DaysofWeek NumberOfRecords
0623PO54 2 10
0623PO54 4 10
On insertion I have application date example 01-09-2017(dd/mm/yyyy) which is Friday.
Now I have to insert this record in closest working day from 01-09-2017 which is 05-09-2017 as it is 2nd working day. After inserting 10 records next records should be insert on 4th working day which is 07-09-2017.
I don't know how to get closest date from application date and insert record on it.
If you also want to exclude holidays than use a master table for Ex. CalenderMastr of dates which have holidays flag and day of week like Monday=2. and as you mansion that you are maintaining working days in a table for ex. workdaymaster. Now make a select query to get next date from CalenderMastr from current date and day of week stored in workdaymaster. now on output date check if in your transaction table count is smaller or not if count is small insert new record or if not than move to next date using while loop in your query. hope you can understand what i am trying to say.
I need to build a report which has week's sales data by department by date (which I have done using Matrix) and compare it to weeks sales last year. Report would be run weekly. I am wondering which approach would be most efficient:
1) generate separate data sets - 1) for 1 weeks data and 2) for 1
week a year ago and then compare these values;
2) create 1 data set for a period of 1 year + 1 week and insert
calculated fields in the data set;
3) create 1 data set for a period of 1 year + 1 week and insert
calculated fields with expressions inside the report
4) any other.
Thanks
If you tables are well indexed, then I'd suggest you go with the first approach - It'd reduce the data to be compared. I feel that pulling data from one year in past would be a less expensive than comparing 2 week's data out of one year's data.
You could use the week number of any given week to efficiently pull data for any week based on the date range.
In my Rails app's PostgreSQL DB are records containing hourly prices for the last 10 years:
10(24 x 365) of these: "12/31/2012 01:00:00", "11.99"
The following query, groups prices by day, averages the prices in those daily groupings to create daily price averages, and returns "day", "daily average" pairs for each day:
HourlyPrice.average(:price, :group => "DATE_TRUNC('day', date)")
The problem is, the hourly prices in my source data actually reflect the price for the previous hour. So, in my data source .CSV, the day starts at the time 01:00:00 and ends at the time 24:00:00.
This conflicts with how PostgreSQL likes to save records in its DateTime column. Upon importing the CSV data, PostgreSQL converts my records containing the time 24:00:00 to 00:00:00 of the next day.
This throws off the accuracy of my Averaging Query above. To fix the query, I still want to group by day, but offset 1 hour. So, that the range averaged starts at 01:00:00 and ends with the 00:00:00 value of the next day.
Is it possible to adjust the above query to reflect this?
You could subtract one hour from date before applying the DATE_TRUNC function to it, like this:
HourlyPrice.average(:price, :group => "DATE_TRUNC('day', date - INTERVAL '1 hour')")