I have a table like this:
ID month year content
1 4 2013 xxxxx
2 5 2013 yyyyy
3 6 2013 zzzzz
4 8 2014 fffff
I want to query it based on a year and month range.
I have query like this:
SELECT * FROM UPP
WHERE ( month = '4' AND year = '2013' )
AND ( month = '6' AND year = '2013' )
That query runs but returns no result. Can anyone help me for fix this query?
NB: The month and year columns are integers.
Why not use the correct data type?
Failing that:
SELECT * FROM UPP WHERE (year=2013) AND (month BETWEEN 4 AND 6);
Would be the easiest path to this particular answer.
EDIT
SQL Fiddle for reference.
There will never be any rows where both month=4 and month=6 which is what your query is asking for. Adding brackets like that will not alter the AND behaviour as you seem to want them to so you are asking for WHERE year=2013 AND month=4 AND month=6.
There are a number of ways you could ask for what you seem to be wanting, for instance:
WHERE (year=2013 AND month=4) OR (year=2013 AND month=6)
or
WHERE year=2013 AND (month=4 OR month=6)
or
WHERE year=2013 AND month IN (4,6)
If you want the full range (the full quarter, months 4, 5, and 6 not just months 4 and 6 then swasheck's suggestion is probably the clearest way to go, though this will fall down if the date range straddles a boundary between years. If you need to do fully flexible ranged queries ("the six months to February 2013" and so forth) then you might want to rethink the table structure to more easily/efficiently support that.
Related
I'm in need of some help structuring in-time queries. There's a few of them I need - but I think that if I can be shown how to do one, I can figure out the others.
What I'm after:
-Rolling 12 month view of 'inactive accounts'...ie number of accounts that have not placed an order in the 12 months prior.
-This ideally will be a subquery (in a much larger script) joining back on to a dates table (see below)
January 2015 | # of customers with no orders from 1/2014-1/2015
February 2015 | # of customers with no orders from 2/2014-2/2015
March 2015 | # of customers with no orders from 3/2014-3/2015
etc...
What I'm having trouble wrapping my mind around is how I'd structure a where clause to ensure that it scans all orders and only returns the total of account ID's that had not placed an order in the year prior to that month. I've used different combinations of DATEDIFF, DATESUB etc.
SELECT DATE_FORMAT(order_datetime, '%Y-%m'), COUNT DISTINCT (account_id)
FROM warehouse.orders
JOIN warehouse.accounts ON xyz
WHERE...
It feels like I'm on the right path - I just keep mentally going in circles trying to figure this out.
Cheers and thanks in advance.
I don't have enough reputation points to simply comment on your question. I don't fully understand it though.
Are you using SQLServer/TSQL or MySQL?
Do you want to have just one column which calculates the last 12 months' rolling average or 12 columns for the rolling average each month? If it is just one figures for the last 12 months tolling do you want that to be from the current day or the beginning of that month?
If it was SQL Server and a rolling 12 months to now, the calculation could be:
SELECT SUM(CASE WHEN DATEDIFF(y,GETDATE(),order_date_time) < 1 THEN COUNT(DISTINCT account_id) END) as January2015
If you're using MySQL replace GETDATE() with NOW()
If you want one value rolling but to the beginning of the month then you could use:
SELECT SUM(CASE WHEN DATEDIFF(y,DATEADD(M, DATEDIFF(M, 0, GETDATE()), 0),order_date_time) < 1 THEN COUNT(DISTINCT account_id) END) as January2015
If I've missed the point entirely, please let me know and I'll happily amend the answer
You should query between dates, in order to get the count of events for each id.
select case
when count(account_id)<0 then 'INACTIVE'
when count(account_id)>0 then 'ACTIVE'
from warehouse.orders
where data_format(order_datetime, '%m/%Y') between '1/2014' and '1/2015'
group by account_id)
Using MySQL and PHP I am building a JSON array to populate a data table.
For the purposed of my question suppose the data table has the following columns:
Year: 2010,2011,2012,2013...<br/>
Month: 1,2,3,4,5...<br/>
Value: 100, 150, 200 etc...<br/>
The table structure cannot be altered and my solution needs come into the MySQL query
The data can be viewed either monthly, quarterly or yearly. Monthly and yearly is achieved easily through grouping by year and month.
Quarterly data can be grouped by calendar quarter (Jan-Mar, Apr-Jun, Jul-Sep, Oct-Dec) by this group statement:
GROUP BY year, round((month/3)+0.3,0)
So where Jan, Feb and March might all have 100 for their value the summed result is 300, same for other months.
Now my problem comes when I want to group values by a financial quarter, for example a quarter that starts in Feb, or any other quarters.
I have a statement that works for the quarter grouping using two variables that can be accessed via the SQL query, start_year (i.e. 2014) and start_month (i.e. 2)
GROUP BY year, (((round(((((month-(start_month-1))+((year-start_year)*12))-((year-start_year)*12))/3)+0.33,0)/4)+4)-floor(((round(((((month-(start_month, '%m')-1))+((year-start_year)*12))-((year-start_year*12))/3)+0.33,0)/4)+4)))*12
which basically will assign a 0,3,6,9 value to each calendar month for the purposes of grouping.
In the financial year starting February this works fine for quarters 1-3, however breaks for the final quarter as it includes Nov and Dec 2014 data and Jan from 2015.
As a result I get 5 rows of data instead of 4.
This is because of the preceding GROUP by year clause, an important addition as we might want to generate a table that views sequential quarters for multiple years.
So what I am looking for is a way of grouping the years together by offsetting the start month.
So when the year starts in Jan it will group Jan-Dec but if we change that to starting Feb it will group Feb-Jan.
Any ideas, suggestions most welcome!
Regards,
Carl
I solved a similar problem just now (a Moodle report aggregating assignment scores by year and quarter) with something like this:
select year(from_unixtime(s.timemarked)) as year, quarter(from_unixtime(s.timemarked)) % 4 + 1 as quarter, count(distinct data1) as "tickets graded" from mdlassignment_submissions s where grade >= 0 group by year, quarter order by year, quarter;
The relevant part for what you're doing is quarter(from_unixtime(s.timemarked)) % 4 + 1 as quarter
As another commenter pointed out, MySQL has a quarter() function, but it doesn't do financial quarters. However, since (as I understand it, at least, based on consulting the relevant wikipedia page) financial quarters are just offset by 1, the % 4 + 1 at the end should convert it.
Given the sample data in the screenshot below, would it be possible in mysql to return a sum of values from monthly_amount only where the values are before this month. I used a join to pull this data. The 5 left columns are from one table, and the rest are from another.
The issue I'm running into is, lets say its April of 2015, I can't just do a sum WHERE goal_year <= 2015 AND month_id_FK <= 4, or else I'll get only those 4 months from both years, when in that scenario, I really want all the months from 2014, plus the 4 months from 2015.
I could handle this in PHP, but I wanted to first see if there would be a way to do this in mysql?
try
WHERE Goal_Year*100+month_id_FK <= 201504
alternatively:
WHERE
GOAL_YEAR < 2015 OR
(GOAL_YEAR = 2015 and month_id_FK <= 4)
select sum(monthly_amount) from table where goaldate<(SELECT CURDATE())
this is not the actual query for your table..but if you do like this you will get the answer
you need the sum of monthly amount where the date is before current-date means today.
then you can just compare the currentdate with goal date
I have a query pulling the last six months of data from a table which has a column, UseDates (so as of today in June, this table has dates for December 2011 through May 2012).
I wish to include a "rank" column that associates a 1 to all December dates, 2 to all January dates, etc -- up to 6 for the dates corresponding one month prior. If I were to open up this query a month from now, the 1 would then be associated with January, etc.
I hope this makes sense!
Example, if I ran the query right now
UseDate Rank
12/31/2011 1
1/12/2012 2
...
5/23/2012 6
Example, if I ran the query in August:
UseDate Rank
2/16/2012 1
3/17/2012 2
...
7/21/2012 6
Example, if I ran the query in March:
UseDate Rank
9/16/2011 1
10/17/2011 2
...
2/24/2012 6
SELECT
UseDates,
DateDiff("m", Date(), UseDates) + 7 AS [Rank]
FROM YourTable;
You can use month function for UseDates and subtract it from the result of now function. If it goes negative, just add 12. Also you may want to add 1 since you start with 1 and not 0. Apparently it should work for half a year date ranges. You'll get into trouble when you need to "rank" several years.
You can rank with a count.
SELECT
Table.ADate,
(SELECT Count(ADate)
FROM Table b
WHERE b.ADate<=Table.ADate) AS Expr1
FROM Table3;
You have to repeat any where statement in the subquery:
SELECT
Table.ADate,
(SELECT Count(ADate)
FROM Table b
WHERE b.ADate<=Table.ADate And Adate>#2012/02/01#) AS Expr1
FROM Table3
WHERE Adate>#2012/02/01#
Lets say I have a table with these fields
LeaveDate
LeaveType
I want to write a query that groups by an annivesary date.
For example say 8th Feb.
So for this year any dates after 8 Feb would be "2010" and any dates before 8 Feb would show "2009".
I want this to occur for all years data.
Understand??
Malcolm
Here is how I did it
SELECT Year([tblFoo]![Leave_date])-IIf(DateDiff("d",[tblFoo]![Leave_date],DateSerial(Year([tblFoo]![Leave_date]),2,8))>0,1,0) AS Year_group, Count(tblFoo.ID) AS CountOfID
FROM tblFoo
GROUP BY Year([tblFoo]![Leave_date])-IIf(DateDiff("d",[tblFoo]![Leave_date],DateSerial(Year([tblFoo]![Leave_date]),2,8))>0,1,0);
This counts the number of records for each “Year”. We use something similar for working out birthday years which change from person to person. In that case use can just replace the fixed 2 and 8 with the month and day they were born
You could create a query with a calculated column for anniversary date, then group by that column.