I've sample data here (date: yyyy-mm-dd format)
Headquarter date Sales monthyear
1 2020-10-30 1000 202010
1 2020-10-31 500 202010
1 2020-11-01 1000 202011
1 2020-11-02 2000 202011
1 2020-11-03 3000 202011
1 2020-11-04 1000 202011
1 2020-11-05 1000 202011
I have to sum all the sales values from 2nd of current month to 2nd of next month. Grouping by headquarter and monthyear. So if I run the query, based on current_date(), the sales value should be added to that month respectively.
To brief my explanation, here's the desired result
headquarter sales monthyear
1 4500 202010
1 5000 202011
So here 30th, 31st of Oct and 1st, 2nd of Nov falls in my condition and their values are summed to oct month. But 3rd, 4th of Nov values are summed to Nov month. Likewise it happens with every month.
If I run the sql query, as today is 1st Nov (IST), today's value should be added to previous month.
I'm looking for some help in making the SQL query here.
GROUP BY DATE_FORMAT(`date` - INTERVAL 1 DAY, '%y%m')
MySQL offers the year_month specifier for extract(). I assume you want everything from the 2nd of one month to the first of the next month. If so, subtract one day:
select headquarter,
extract(year_month from date - interval 1 day) as yyyymm,
sum(sales)
from sample
group by headquarter, yyyymm;
Related
sl.. Country Channel Type Clicks Spend Impressions Date
1. india Social a 14 $25 1,331 2/11/2021
2. india Search b 1,748 $1,801 1,166,140 2/11/2021
3. india Display c 28,615 $3,901 8,279,595 2/11/2021
4. india Display a 1,500 $1,000 1,233 7/10/2020
5. india Display a 11,500 $500 5,133 10/1/2020
6. india Display a 599 $200 6570 1/1/2020
So, what I needed to do is to create clicks/impressions for every quarter based on the historical data. The historical data is the same just that the dates are different, now to create (clicks/impressions) for this quarter the value will be
select sum(clicks)/sum(impressions)
from table_name
groupby (country, channel, type)
where ________
I need help in the where clause, I need to select the data from only some specific quarters while generating clicks/impressions for any quarter and the logic to select is:
Sum(clicks(q3 2020,q4 2020, q1 2020))/Sum(impressions(q3 2020,q4 2020, q1 2020))
where we need to find the quarters and the year from the date column.
By dynamically I mean if we move to the next quarter then I need to compare the average of the last 2 quarters and the same quarter previous year.
I wrote the code to find the quarters and year from the date, but how to proceed?
CASE
WHEN EXTRACT(MONTH FROM day) BETWEEN 7 AND 9 THEN 'Q1'
WHEN EXTRACT(MONTH FROM day) BETWEEN 10 AND 12 THEN 'Q2'
WHEN EXTRACT(MONTH FROM day) BETWEEN 1 AND 3 THEN 'Q3'
WHEN EXTRACT(MONTH FROM day) BETWEEN 4 AND 6 THEN 'Q4'
END AS quarter,
EXTRACT(Year FROM day) AS Year
Desired output
slno. quarter clicks/impressions
1. Q1 2021 0.53
2. Q4 2020 1.35
.......
When you're trying to filter data, don't do complex maths on the data and filter the results. That requires processing the whole table, then throwing away the rows not required.
Instead, do the maths in the filter parameters, which will allow the database to fulfil the filtering by checking indexes and only loading the rows it needs.
Fot example...
SELECT
SUM(clicks) / SUM(impressions)
FROM
yourTable
WHERE
(Date >= '2020-07-01' AND Date < '2021-01-01')
OR (Date >= '2020-01-01' AND Date < '2020-04-01')
That ensures you only process the data for the last two quarters of 2020, plus the first quarter of 2020.
The question then becomes, how to work out those dates based on today's date.
The start of the current quarter can be as provided by this... How do I get the first date of a quarter in MySQL?
If you store the result of that calculation in a variable named #CurrentQuarterStart, the WHERE clause becomes this...
WHERE
(Date >= #CurrentQuarterStart - INTERVAL 2 QUARTERS AND Date < #CurrentQuarterStart)
OR (Date >= #CurrentQuarterStart - INTERVAL 4 QUARTERS AND Date < #CurrentQuarterStart - INTERVAL 3 QUARTERS)
I am working in mySQL and I currently have a count of total orders by day, but I would like to add Saturday and Sunday orders to Monday then remove Saturday and Sunday values. I have done some research on this but I cannot seem to find anything similar to what I am trying to do.
My current data table looks like this:
Date | Daily Count
8-6-2020 25
8-7-2020 82
8-8-2020 24
8-9-2020 33
8-10-2020 18
8-11-2020 10
8-12-2020 25
8-13-2020 15
I need it to look something like this:
Date | Daily Count
8-6-2020 25
8-7-2020 82
8-10-2020 75
8-11-2020 10
8-12-2020 25
8-13-2020 15
In this one the Daily counts for the 8th and 9th are added to the 10th, then removed, because they are weekend days. Thank you in advance for your help!
Consider using a case expression to adjust the date:
select
case weekday(date)
when 5 then date + interval 2 day
when 6 then date + interval 1 day
else date
end as new_date,
sum(daily_count) as daily_count
from mytable
group by new_date
I have such data in my table:
I need to calculate "Paid" field of UserID which reoccurs in 7 day intervals. In this example I will SUM(Paid) for UserID "01" because it occurs 2 times in 7 days interval.
I can calculate it programmaticaly, but only in such date intervals (2016-01-01 - 2016-01-07; 2016-01-07 - 2016-01-13; etc.).
Maybe there is some possibility to perform this calculation at MySQL level in any 7 day intervals? For example: 2016-01-01 - 2016-01-07; 2016-01-02 - 2016-01-08; 2016-10-10 - 2016-10-16; etc.
I believe the method WEEK() returns the week number based on the calendar year, meaning that for 2016: 1st Jan, 2nd Jan and 3rd Jan would return 0, but 4th Jan would return 1, which to my understanding does not fit the requirements.
I would suggest:
SELECT `UserID`, SUM(`Paid`) FROM `table` GROUP BY DATEDIFF(`Date`, (SELECT MIN(`Date`) FROM `table`)) DIV 7, `UserID`
I'm trying to create a query to show the breakdown of leads relating to finance contracts grouped by hour.
Here's an example of what I have so far for hours:
SELECT CONCAT(HOUR(received), ':00-', HOUR(received)+1, ':00') AS Hours,
COUNT(*) as `leads`
FROM (digital_lead)
WHERE `received` BETWEEN '2014-11-01 00:00:00' AND '2014-11-24 00:00:00'
GROUP BY HOUR(received)
And here's the result ....
Hours usage
0:00-1:00 36
1:00-2:00 25
2:00-3:00 16
3:00-4:00 4
4:00-5:00 7
5:00-6:00 8
6:00-7:00 13 // etc all the way to 23:00 - 24:00
OK - so that seems to work, however, it aggregates all of the leads for that time slot over the course of the period set in the BETWEEN statement. I would like to be able to show the breakdown per hour for each day within the period range.
So that would look something like:
Date Hours leads
2014-11-01
0:00-1:00 36
1:00-2:00 25
2:00-3:00 16
3:00-4:00 4
4:00-5:00 7
5:00-6:00 8
6:00-7:00 13 // etc all the way to 23:00 - 24:00
So each date would be displayed and then the hours for that day and so forth.
Thanks.
Group by date as well:
SELECT DATE(received), HOUR(received), ...
...
GROUP BY DATE(received), HOUR(received)
Since you're grouping by hour() only, you'll essentialy be getting
Hour
1 sum of leads in hour 1 of jan 1, jan 2, jan 3, ... dec 31
2 sum of leads in hour 2 of jan 1, jan 2, jan 3, ... dec 31
Rather than
Jan 1 Hour 1 sum of leads for just that one hour on the one day
Jan 1 Hour 2 sum of leads for just that one hour on the one day
..
Dec 31 Hour 23 sum of leads
I have a MySQL table of photovoltaic electricity generation data (pvdata) from which I need to produce a monthly summary table. A simplified table is shown:
id date time pvdata
1 2012-01-01 10:00 50
1 2012-01-31 12:00 60
1 2012-02-10 13:00 70
2 2012-02-08 10:00 12
2 2012-03-20 10:00 17
The monthly summary table needs to show the cumulative generation for all systems in the database, regardless of whether I have received data for that month, so for example month 3 below contains the total generation from id = 1 (data received in month 2).
Also there may be more than one data point for an id in the same month, so the report must report the max(data) for the month.
year month cum_data
2012 1 60
2012 2 82
2012 3 87
I am pretty new to this, so have struggled for a while. The best I can come up with shows the cumulative total for the month, but without including the cumulative total for ids for which there is no data in the current month:
CREATE TEMPORARY TABLE intermed_gen_report
SELECT year(date) AS year, month(date) AS month, id, max(pvdata) AS maxpvdata
FROM pvdata
GROUP BY id, year(date), month(date)
ORDER BY year(date), month(date);
SELECT year, month, SUM(maxpvdata) AS cum_data
FROM intermed_gen_report
GROUP BY year, month
ORDER BY year, month;
Giving:
year month cum_data
2012 1 60
2012 2 82
2012 3 17
I think the problem is one kind of like this http://www.richnetapps.com/using-mysql-generate-daily-sales-reports-filled-gaps/ - you will want to create a table (possibly temporary) with dates (or year / month values). However that example leaves zeros where there is no data - I think you will want to do a join on a subselect that returns the most recent data before that date (or year/ month value).
I agree I think with what Aerik suggests. You will want to join your data of what is usually called a 'date dimension table'. You can find lots of examples on how to populate said table. This is a common technique in data warehousing.
You can also do what you need in one select using sub selects. Take a look at some of the previous threads like: generate days from date range