I have the following table of seasons:
| id | name | start_month | end_month |
------------------------------------------
| 101 | Summer | 12 | 2 |
| 102 | Winter | 6 | 8 |
| 103 | Spring | 9 | 11 |
| 104 | Fall | 3 | 5 |
I need to get the season by month. Say current month is 2 (February), I want Summer to be the output.
I can get other seasons to work by simply having the where condition start_month >= 4 and end_month <= 4. But this won't work with Summer since the season crosses into next year.
What do I have to do to handle the case of Summer?
One solution I thought was to use dates instead of month number like 1980-12-01 and use between function but it gets a bit complicated for the user end.
It'd be great if it could work with just month numbers.
You could do:
(month(d) between start_month and end_month) or
(start_month>end_month and (month(d)>=start_month or month(d)<=end_month))
See db-fiddle
I am trying to get aggregate sums for days between certain dates. I have managed to use DATEDIFF to find the number of days, but cannot find a way to add them.
Here is what I would like the table to look like. Please note that dates are in UK format and days counted include both Start and End date. I also have removed weekends so that this only includes weekdays:
User | txtStartDate | txtEndDate | Days | Days Total
-------------------------------------------------------------------------
1 | 04/01/18 | 05/01/18 | 2 | 2
1 | 09/01/18 | 12/01/18 | 4 | 6
1 | 22/01/18 | 31/01/18 | 8 | 14
-------------------------------------------------------------------------
2 | 11/01/18 | 12/01/18 | 2 | 2
2 | 18/01/18 | 18/01/18 | 1 | 3
-------------------------------------------------------------------------
TOTAL | 17
I am using this code to calculate the days:
=DateDiff(DateInterval.day, Fields!txtStartDate.Value, Fields!txtEndDate.Value)+1)
-(DateDiff(DateInterval.WeekOfYear, Fields!txtStartDate.Value, Fields!txtEndDate.Value)*2)
and have tried putting this in =SUM() to calculate the total but this does not work.
Any help would be greatly appreciated.
Thanks
Rob
You need to use RunningValue
You might get a syntax error here
=RunningValue(DateDiff(DateInterval.day, Fields!txtStartDate.Value, Fields!txtEndDate.Value)+1)
-(DateDiff(DateInterval.WeekOfYear, Fields!txtStartDate.Value, Fields!txtEndDate.Value)*2)
,sum
,"DataSet1") --enter the scope here or `nothing`
I'm creating a database (in MySQL) with a table of measurements. For each measurement I want to store the DateTime it came in. For showing plots within an app for different intervals (measurements of the day/week/month/year) I want sample the data points I have, so I can return e. g. 30 data points for the whole year as well as for the day/hour. This is the same as done with stock price graphs:
stock price plot for 1 day
vs
stock price plot for 1 month
As you can see, the amount of data points is the same in both pictures.
So how can I select x entries within a timespan in MySQL via SQL?
My data looks like this:
+====+====================+=============+==========+
| id | datetime | temperature | humidity |
+====+====================+=============+==========+
| 1 | 1-15-2016 00:30:00 | 20 | 40 |
+----+--------------------+-------------+----------+
| 2 | 1-15-2016 00:35:00 | 19 | 41 |
+----+--------------------+-------------+----------+
| 3 | 1-15-2016 00:40:00 | 20 | 40 |
+----+--------------------+-------------+----------+
| 4 | 1-15-2016 00:45:00 | 20 | 42 |
+----+--------------------+-------------+----------+
| 5 | 1-15-2016 00:50:00 | 21 | 42 |
+----+--------------------+-------------+----------+
| 6 | 1-15-2016 00:55:00 | 20 | 43 |
+----+--------------------+-------------+----------+
| 7 | 1-15-2016 01:00:00 | 21 | 43 |
+====+====================+=============+==========+
Let's say, I always want two data points (in reality a lot more). So for the last half hour I want the database to return data point 1 and 4, for the last ten minutes I want it to return 6 and 7.
Thanks for helping!
PS: I'm sorry for any errors in my English
OK, assuming a very simple systematic approach, you can get the first and last entry for any defined period:
select *
from table
where mydatetime =
(select
max(mydatetime)
from table
where mydatetime between '2017-03-01' and '2017-03-15'
)
OR mydatetime =
(select
min(mydatetime)
from table
where mydatetime between '2017-03-01' and '2017-03-15'
)
I believe your answer can be found at the following location:
https://stackoverflow.com/a/1891796/7176046
If you are looking to filter out any items not within your date/time your query would use:
Select * from table where Date/Time is (What you want to sort by)
I have a database which looks like this:
Reservations Table:
-------------------------------------------------
id | room_id | start | end |
1 | 1 | 2015-05-13 | 2015-05-16 |
2 | 1 | 2015-05-18 | 2015-05-20 |
3 | 1 | 2015-05-21 | 2015-05-24 |
-------------------------------------------------
Apartment Table:
---------------------------------------
id | room_id | name |
1 | 1 | test apartment |
---------------------------------------
Meaning that in the month 05 (May) there is 31 days in the database we have 3 events giving us 8 days of usage 31 - 8 = 23 / 31 = 0.741 * 100 = %74.1 is the percentage of the emptiness and %25.9 is the percentage of usage. how can i do all of that in SQL? (mySQL).
This is my proposal:
SELECT SUM(DAY(`end`)-DAY(`start`))/EXTRACT(DAY FROM LAST_DAY(`start`)) FROM `apt`;
LAST_DAY function gives as output the date of last day of the month.
Check this
http://sqlfiddle.com/#!9/7c53b/2/0
Not the most efficient query but will get the job done.
select
sum(a.days)*100/(SELECT DAY(LAST_DAY(min(start))) from test1)
as usePercent,
100-(sum(a.days)*100/(SELECT DAY(LAST_DAY(min(start))) from test1))
as emptyPercent
FROM
(select DATEDIFF(end,start) as days from test1) a
What I did is first get the date difference and count them. Then in a nested query use the day(last_day()) function to get the last day of month. Then calculated by using your logic.
First off, I apologize for the length. This is kind of complicated (at least for me).
Background on the database:
I have a products, variables, and prices table. "Products" are the main information regarding a product (description, title, etc). "Prices" have information about each price (price, cost, minimum qty required, shipping cost, etc), as some products can have more than one price (a 10" widget is a different price than a 12" widget, for instance). "Variables" are variations to the product that do not change the price, such as color, size, etc.
Initially (when I built this database about 7 years ago) I had the variable information stored in the first price in a list of prices for the same product in a pipe-delimited format (yes, I know, badbadbad). This worked in general, but we've always had a problem, though, where sometimes a variable wouldn't be consistent among all the prices.
For instance, a Widget (product) may be 10" or 12" and sell for $10 and $20 (prices) respectively. However, while the 10" widget may be available in blue and red (variables), the 12" widget is only available in red. We ameliorated this problem by adding a little parenthetical statement in the incongruent variable like "Red (10" ONLY)". This sort of works, but customers are not always that smart and a lot of time is devoted to fixing mistakes when a customer selects a 12" widget in red.
I have since been tasked with modernizing the database and have decided to put the variables in their own table and making them more dynamic and easier to match with certain prices, as well as keep a more dummy-proof inventory (you can't imagine the nightmares).
My first step was to write a stored procedure on my test db (for when I do the conversion) to process all the existing variables into a new variable table (and label table, but that's not really important, I don't think). I effectively parsed out the variables and listed them with the correct product id and the product id they were initially associated with in the variable table. However, I realized this is only a part of the problem, since I (at least for the initial transformation of the database) want each variable to be listed as being connected to each price for a given product.
To do this, I created another table, like so:
tblvariablesprices
variablepriceid | variableid | priceid | productid
which is a many-to-many with the variable table.
Problems:
My problem now is, I don't know how to create the rows. I can create a left join on my prices and variables tables to get (I think) all the necessary data, I just don't know how to go through it. My sql is (mysql 5.0):
SELECT p.priceid, p.productid, variableid, labelid
FROM tblprices p
LEFT JOIN tblvariables v ON p.priceid = v.priceid
ORDER BY productid, priceid
This will get me every priceid and productid and any matching variable and label ids. This is good in certain instances, such as when I have something like:
priceid | productid | variableid | labelid
2 | 7 | 10 | 4
2 | 7 | 11 | 4
2 | 7 | 12 | 4
3 | 7 | (null) | (null) --- another price for product
because now I know that I need to create a record for priceid 2 and variableids 10, 11, 12, and then also for priceid 3 for that product. However, I also get results from this dataset for products with no variables, products with one price and multiple variables, and products with multiple prices and no variables, for instance:
priceid | productid | variableid | labelid
2 | 7 | 10 | 4
2 | 7 | 11 | 4
2 | 7 | 12 | 4
3 | 7 | (null) | (null)
4 | 8 | (null) | (null) --- 1 price no variables
5 | 9 | 13 | 5 --- mult vars, 1 price
5 | 9 | 14 | 5
5 | 9 | 15 | 6
5 | 9 | 16 | 6
6 | 10 | (null) | (null) --- mult price, no vars
7 | 10 | (null) | (null)
8 | 10 | (null) | (null)
Taking the above dataset, I want to add entries into my tblpricesvariables table like so:
variablepriceid | variableid | priceid | productid
1 | 10 | 2 | 7
2 | 11 | 2 | 7
3 | 12 | 2 | 7
4 | 10 | 3 | 7
5 | 11 | 3 | 7
6 | 12 | 3 | 7
7 | 13 | 5 | 9
8 | 14 | 5 | 9
9 | 15 | 5 | 9
10 | 16 | 5 | 9
I have thousands of records to process, so obviously doing this manually is not the answer. Can anyone at least point me in the correct direction, if not come up with a sproc that could handle this type of operation? I also would welcome any comments on how to better organize and/or structure this data.
Thank you so much for reading all this and helping me out.
How about:
SELECT DISTINCT b.variableid, a.priceid, a.productid
FROM tblprices AS a
JOIN tblprices AS b ON a.productid = b.productid
WHERE b.labelid IS NOT NULL
ORDER BY priceid;
+------------+---------+-----------+
| variableid | priceid | productid |
+------------+---------+-----------+
| 10 | 2 | 7 |
| 11 | 2 | 7 |
| 12 | 2 | 7 |
| 10 | 3 | 7 |
| 11 | 3 | 7 |
| 12 | 3 | 7 |
| 13 | 5 | 9 |
| 14 | 5 | 9 |
| 15 | 5 | 9 |
| 16 | 5 | 9 |
+------------+---------+-----------+
INSERTing into tblvariables is left as an exercise for the reader ;)
I think this should work:
SELECT v.variableid, p.productid, p.priceid
FROM tblvariables v, tblprices p
WHERE v.priceid IN (SELECT s.priceid
FROM tblprices s
WHERE s.productid = p.productid);
Next time, can you throw in create and insert statements to replicate your setup? Thanks.