Table A stores each stock amounts by days :
+---+------------+----------+-------------+
|id | Stock_id | amount | Date |
+---+------------+----------+-------------+
| 1 | 1 | 100 | 2017-09-05 |
| 2 | 1 | 200 | 2017-09-06 |
| 3 | 1 | 300 | 2017-09-07 |
| 4 | 1 | 200 | 2017-09-08 |
| 5 | 1 | 200 | 2017-09-09 |
| 6 | 1 | 200 | 2017-09-10 |
| 7 | 2 | 300 | 2017-09-06 |
+---+------------+----------+-------------+
Table B contains relationship between stock id and category. Add date indicates when the stock was added to the category and remove date means the day which the stock was removed. if remove date is null , it means the stock is still in the category.
+---+----------+ ------- +------------+------------+
|id | Stock_id |Category | Add Date | Remove Date|
+---+----------+-------- +------------+------------+
| 1 | 1 | Category1| 2017-09-03 | 2017-09-07 |
| 2 | 1 | Category1|2017-09-09 | null |
+---+----------+-------- +------------+------------+
My questions is give a time range, like from 2017-09-05 to 2017-09-08. first for the Stock1 and Category1, I want calculate the time overlap with table b, which is <2017-09-05 to 2017-09-06>. Then sum the amount in table A from 2017-09-05 to 2017-09-06. the result is (100+200) = 300. if time range is 2017-09-06 to 2017-09-10, the overlap is <2017-09-06, 2017-09-09 to 2017-09-10>. sum result is (200+200+200)=600.
How can I do it?Thank you all!
If I understand correctly, you want want the amount of stock in each category for a given range of dates. If so, this is a matter of joining the tables correctly and aggregating:
select a.stock_id, b.category, sum(a.amount)
from a join
b
on a.stock_id = b.stock_id and a.date >= a.add_date and
(a.date <= b.remove_date or b.remove_date is null)
where a.date >= '2017-09-05' and b.date <= '2017-09-08'
group by a.stock_id, b.category;
Related
I am building a trading system where users need to know their running account balance by date for a specific user (uid) including how much they made from trading (results table) and how much they deposited or withdrew from their accounts (adjustments table).
Here is the sqlfiddle and tables: http://sqlfiddle.com/#!9/6bc9e4/1
Adjustments table:
+-------+-----+-----+--------+------------+
| adjid | aid | uid | amount | date |
+-------+-----+-----+--------+------------+
| 1 | 1 | 1 | 20 | 2019-08-18 |
| 2 | 1 | 1 | 50 | 2019-08-21 |
| 3 | 1 | 1 | 40 | 2019-08-21 |
| 4 | 1 | 1 | 10 | 2019-08-19 |
+-------+-----+-----+--------+------------+
Results table:
+-----+-----+-----+--------+-------+------------+
| tid | uid | aid | amount | taxes | date |
+-----+-----+-----+--------+-------+------------+
| 1 | 1 | 1 | 100 | 3 | 2019-08-19 |
| 2 | 1 | 1 | -50 | 1 | 2019-08-20 |
| 3 | 1 | 1 | 100 | 2 | 2019-08-21 |
| 4 | 1 | 1 | 100 | 2 | 2019-08-21 |
+-----+-----+-----+--------+-------+------------+
How do I get the below results for uid (1)
+--------------+------------+------------------+----------------+------------+
| ResultsTotal | TaxesTotal | AdjustmentsTotal | RunningBalance | Date |
+--------------+------------+------------------+----------------+------------+
| - | - | 20 | 20 | 2019-08-18 |
| 100 | 3 | 10 | 133 | 2019-08-19 |
| -50 | 1 | - | 84 | 2019-08-20 |
| 200 | 4 | 90 | 378 | 2019-08-21 |
+--------------+------------+------------------+----------------+------------+
Where RunningBalance is the current account balance for the particular user (uid).
Based on #Gabriel's answer, I came up with something like, but it gives me empty balance and duplicate records
SELECT SUM(ResultsTotal), SUM(TaxesTotal), SUM(AdjustmentsTotal), #runningtotal:= #runningtotal+SUM(ResultsTotal)+SUM(TaxesTotal)+SUM(AdjustmentsTotal) as Balance, date
FROM (
SELECT 0 AS ResultsTotal, 0 AS TaxesTotal, adjustments.amount AS AdjustmentsTotal, adjustments.date
FROM adjustments LEFT JOIN results ON (results.uid=adjustments.uid) WHERE adjustments.uid='1'
UNION ALL
SELECT results.amount AS ResultsTotal, taxes AS TaxesTotal, 0 as AdjustmentsTotal, results.date
FROM results LEFT JOIN adjustments ON (results.uid=adjustments.uid) WHERE results.uid='1'
) unionTable
GROUP BY DATE ORDER BY date
For what you are asking you would want to union then group the results from both tables, this should give the results you want. However, I recommend calculating the running balance outside of MySQL since this adds some complexity to our query.
Weird things could start to happen, for example, if someone already defined the #runningBalance variable as part of the queries scope.
SELECT aggregateTable.*, #runningBalance := ifNULL(#runningBalance, 0) + TOTAL
FROM (
SELECT SUM(ResultsTotal), SUM(TaxesTotal), SUM(AdjustmentsTotal)
, SUM(ResultsTotal) + SUM(TaxesTotal) + SUM(AdjustmentsTotal) as TOTAL
, date
FROM (
SELECT 0 AS ResultsTotal, 0 AS TaxesTotal, amount AS AdjustmentsTotal, date
FROM adjustments
UNION ALL
SELECT amount AS ResultsTotal, taxes AS TaxesTotal, 0 as AdjustmentsTotal, date
FROM results
) unionTable
GROUP BY date
) aggregateTable
Given a statuses table that holds information about products availability, how do I select the date that corresponds to the 1st day in the latest 20 days that the product has been active?
Yes I know the question is hard to follow. I think another way to put it would be: I want to know how many times each product has been sold in the last 20 days that it was active, meaning the product could have been active for years, but I'd only want the sales count from the latest 20 days that it had a status of "active".
It's something easily doable in the server-side (i.e. getting any collection of products from the DB, iterating them, performing n+1 queries on the statuses table, etc), but I have hundreds of thousands of items so it's imperative to do it in SQL for performance reasons.
table : products
+-------+-----------+
| id | name |
+-------+-----------+
| 1 | Apple |
| 2 | Banana |
| 3 | Grape |
+-------+-----------+
table : statuses
+-------+-------------+---------------+---------------+
| id | name | product_id | created_at |
+-------+-------------+---------------+---------------+
| 1 | active | 1 | 2018-01-01 |
| 2 | inactive | 1 | 2018-02-01 |
| 3 | active | 1 | 2018-03-01 |
| 4 | inactive | 1 | 2018-03-15 |
| 6 | active | 1 | 2018-04-25 |
| 7 | active | 2 | 2018-03-01 |
| 8 | active | 3 | 2018-03-10 |
| 9 | inactive | 3 | 2018-03-15 |
+-------+-------------+---------------+---------------+
table : items (ordered products)
+-------+---------------+-------------+
| id | product_id | order_id |
+-------+---------------+-------------+
| 1 | 1 | 1 |
| 2 | 1 | 2 |
| 3 | 1 | 3 |
| 4 | 1 | 4 |
| 5 | 1 | 5 |
| 6 | 2 | 3 |
| 7 | 2 | 4 |
| 8 | 2 | 5 |
| 9 | 3 | 5 |
+-------+---------------+-------------+
table : orders
+-------+---------------+
| id | created_at |
+-------+---------------+
| 1 | 2018-01-02 |
| 2 | 2018-01-15 |
| 3 | 2018-03-02 |
| 4 | 2018-03-10 |
| 5 | 2018-03-13 |
+-------+---------------+
I want my final results to look like this:
+-------+-----------+----------------------+--------------------------------+
| id | name | recent_sales_count | date_to_start_counting_sales |
+-------+-----------+----------------------+--------------------------------+
| 1 | Apple | 3 | 2018-01-30 |
| 2 | Banana | 0 | 2018-04-09 |
| 3 | Grape | 1 | 2018-03-10 |
+-------+-----------+----------------------+--------------------------------+
So this is what I mean by latest 20 active days for e.g. Apple:
It was last activated at '2018-04-25'. That's 4 days ago.
Before that, it was inactive since '2018-03-15', so all these days until '2018-04-25' don't count.
Before that, it was active since '2018-03-01'. That's more 14 days until '2018-03-15'.
Before that, inactive since '2018-02-01'.
Finally, it was active since '2018-01-01', so it should only count the missing 2 days (4 + 14 + 2 = 20) backwards from '2018-02-01', resulting in date_to_start_counting_sales = '2018-01-30'.
With the '2018-01-30' date in hand, I'm then able to count Apple orders in the last 20 active days: 3.
Hope that makes sense.
Here is a fiddle with the data provided above.
I've got a standard SQL solution, that does not use any window function as you are on MySQL 5
My solution requires 3 stacked views.
It would have been better with a CTE but your version doesn't support it. Same goes for the stacked Views... I don't like to stack views and always try to avoid it, but sometimes you have no other choice, because MySQL doesn't accept subqueries in FROM clause for Views.
CREATE VIEW VIEW_product_dates AS
(
SELECT product_id, created_at AS active_date,
(
SELECT created_at
FROM statuses ti
WHERE name = 'inactive' AND ta.created_at < ti.created_at AND ti.product_id=ta.product_id
GROUP BY product_id
) AS inactive_date
FROM statuses ta
WHERE name = 'active'
);
CREATE VIEW VIEW_product_dates_days AS
(
SELECT product_id, active_date, inactive_date, datediff(IFNULL(inactive_date, SYSDATE()),active_date) AS nb_days
FROM VIEW_product_dates
);
CREATE VIEW VIEW_product_dates_days_cumul AS
(
SELECT product_id, active_date, ifnull(inactive_date,sysdate()) AS inactive_date, nb_days,
IFNULL((SELECT SUM(V2.nb_days) + V1.nb_days
FROM VIEW_product_dates_days V2
WHERE V2.active_date >= IFNULL(V1.inactive_date, SYSDATE()) AND V1.product_id=V2.product_id
),V1.nb_days) AS cumul_days
FROM VIEW_product_dates_days V1
);
The final view produce this :
| product_id | active_date | inactive_date | nb_days | cumul_days |
|------------|----------------------|----------------------|---------|------------|
| 1 | 2018-01-01T00:00:00Z | 2018-02-01T00:00:00Z | 31 | 49 |
| 1 | 2018-03-01T00:00:00Z | 2018-03-15T00:00:00Z | 14 | 18 |
| 1 | 2018-04-25T00:00:00Z | 2018-04-29T11:28:39Z | 4 | 4 |
| 2 | 2018-03-01T00:00:00Z | 2018-04-29T11:28:39Z | 59 | 59 |
| 3 | 2018-03-10T00:00:00Z | 2018-03-15T00:00:00Z | 5 | 5 |
So it aggregates all active periods of all products, it counts the number of days for each period, and the cumulative days of all past active periods since current date.
Then we can query this final view to get the desired date for each product. I set a variable for your 20 days, so you can change that number easily if you want.
SET #cap_days = 20 ;
SELECT PD.id, Pd.name,
SUM(CASE WHEN o.created_at > PD.date_to_start_counting_sales THEN 1 ELSE 0 END) AS recent_sales_count ,
PD.date_to_start_counting_sales
FROM
(
SELECT p.*,
(CASE WHEN LowerCap.max_cumul_days IS NULL
THEN ADDDATE(ifnull(HigherCap.min_inactive_date,sysdate()),(-#cap_days))
ELSE
CASE WHEN LowerCap.max_cumul_days < #cap_days AND HigherCap.min_inactive_date IS NULL
THEN ADDDATE(ifnull(LowerCap.max_inactive_date,sysdate()),(-LowerCap.max_cumul_days))
ELSE ADDDATE(ifnull(HigherCap.min_inactive_date,sysdate()),(LowerCap.max_cumul_days-#cap_days))
END
END) as date_to_start_counting_sales
FROM products P
LEFT JOIN
(
SELECT product_id, MAX(cumul_days) AS max_cumul_days, MAX(inactive_date) AS max_inactive_date
FROM VIEW_product_dates_days_cumul
WHERE cumul_days <= #cap_days
GROUP BY product_id
) LowerCap ON P.id=LowerCap.product_id
LEFT JOIN
(
SELECT product_id, MIN(cumul_days) AS min_cumul_days, MIN(inactive_date) AS min_inactive_date
FROM VIEW_product_dates_days_cumul
WHERE cumul_days > #cap_days
GROUP BY product_id
) HigherCap ON P.id=HigherCap.product_id
) PD
LEFT JOIN items i ON PD.id = i.product_id
LEFT JOIN orders o ON o.id = i.order_id
GROUP BY PD.id, Pd.name, PD.date_to_start_counting_sales
Returns
| id | name | recent_sales_count | date_to_start_counting_sales |
|----|--------|--------------------|------------------------------|
| 1 | Apple | 3 | 2018-01-30T00:00:00Z |
| 2 | Banana | 0 | 2018-04-09T20:43:23Z |
| 3 | Grape | 1 | 2018-03-10T00:00:00Z |
FIDDLE : http://sqlfiddle.com/#!9/804f52/24
Not sure which version of MySql you're working with, but if you can use 8.0, that version came out with a lot of functionality that makes things slightly more doable (CTE's, row_number(), partition, etc.).
My recommendation would be to create a view like in this DB-Fiddle Example, call the view on server side and iterate programatically. There are ways of doing it in SQL, but it'd be a bear to write, test and likely would be less efficient.
Assumptions:
Products cannot be sold during inactive date ranges
Statuses table will always alternate status active/inactive/active for each product. I.e. no date ranges where a certain product is both active and inactive.
View Results:
+------------+-------------+------------+-------------+
| product_id | active_date | end_date | days_active |
+------------+-------------+------------+-------------+
| 1 | 2018-01-01 | 2018-02-01 | 31 |
+------------+-------------+------------+-------------+
| 1 | 2018-03-01 | 2018-03-15 | 14 |
+------------+-------------+------------+-------------+
| 1 | 2018-04-25 | 2018-04-29 | 4 |
+------------+-------------+------------+-------------+
| 2 | 2018-03-01 | 2018-04-29 | 59 |
+------------+-------------+------------+-------------+
| 3 | 2018-03-10 | 2018-03-15 | 5 |
+------------+-------------+------------+-------------+
View:
CREATE OR REPLACE VIEW days_active AS (
WITH active_rn
AS (SELECT *, Row_number()
OVER ( partition BY NAME, product_id
ORDER BY created_at) AS rownum
FROM statuses
WHERE name = 'active'),
inactive_rn
AS (SELECT *, Row_number()
OVER ( partition BY NAME, product_id
ORDER BY created_at) AS rownum
FROM statuses
WHERE name = 'inactive')
SELECT x1.product_id,
x1.created_at AS active_date,
CASE WHEN x2.created_at IS NULL
THEN Curdate()
ELSE x2.created_at
END AS end_date,
CASE WHEN x2.created_at IS NULL
THEN Datediff(Curdate(), x1.created_at)
ELSE Datediff(x2.created_at,x1.created_at)
END AS days_active
FROM active_rn x1
LEFT OUTER JOIN inactive_rn x2
ON x1.rownum = x2.rownum
AND x1.product_id = x2.product_id ORDER BY
x1.product_id);
I have two tables.
+----+------------+------------+
| id | pay_date | payment |
+----+------------+------------+
| 1 | 2010-01-01 | 20000 |
| 1 | 2010-01-02 | 30000 |
| 1 | 2010-01-03 | 30000 |
| 1 | 2010-01-06 | 40000 |
| 2 | 2010-01-01 | 10000 |
| 2 | 2010-01-03 | 30000 |
| 2 | 2010-01-06 | 70000 |
+----+------------+------------+
+----+------------+------------+
| id | start_date | end_date |
+----+------------+------------+
| 1 | 2010-01-01 | 2010-01-05 |
| 1 | 2010-01-06 | 2010-01-30 |
| 2 | 2010-01-01 | 2010-01-05 |
| 2 | 2010-01-06 | 2010-01-10 |
+----+------------+------------+
And by converging two tables I want to make below table.
+----+------------+------------+------------+
| id | start_date | end_date | payment |
+----+------------+------------+------------+
| 1 | 2010-01-01 | 2010-01-05 | 80000 |
| 1 | 2010-01-06 | 2010-01-30 | 40000 |
| 2 | 2010-01-01 | 2010-01-05 | 40000 |
| 2 | 2010-01-06 | 2010-01-10 | 70000 |
+----+------------+------------+------------+
This table is sum of payment within fixed period by same id.
How can I make this table?
For the exact data you gave us, we can just join the second table to the first one on the condition that the pay date be between the start and end date in the first table, and that the id values match. But immediately there is an obvious edge case problem here. What happens if a pay date happens to overlap both the start and end dates in the second table? Then it is not clear to which range we should assign that payment. If we just use BETWEEN we will end up double counting the payment.
So in my query below, I make the assumption that a pay date gets assigned if it be greater than or equal to the start date, but strictly less than the end date. This may not be the logic you intend, but you're probably going to have make an assumption similar to this if you ever have overlapping data.
SELECT
t2.id, t2.start_date, t2.end_date, SUM(t1.payment) AS payment
FROM table2 t2
LEFT JOIN table1 t1
ON t1.id = t2.id AND
t1.pay_date >= t2.start_date AND
t1.pay_date < t2.end_date
GROUP BY
t2.id, t2.start_date, t2.end_date
ORDER BY
t2.id, t2.start_date;
Output:
Demo here:
Rextester
Sum up the payment column having pay_date between start_date and end_date in the other table.
Query
select t1.`id`, t1.`start_date`, t1.`end_date`,
sum(t2.`payment`) as `payment`
from `table2` as t1
join `table1` as t2
on t1.`id` = t2.`id`
and t2.`pay_date` between t1.`start_date` and t1.`end_date`
group by t1.`id`, t1.`start_date`, t1.`end_date`;
I have 2 tables
Transaction table
+----+----------+-----+---------+----
| TID | CampaignID | DATE |
+----+----------+-----+---------+---+
| 1 | 5 | 2016-01-01 |
| 2 | 5 | 2016-01-01 |
| 3 | 2 | 2016-01-01 |
| 4 | 5 | 2016-01-01 |
| 5 | 1 | 2016-01-01 |
| 6 | 1 | 2016-02-02 |
| 7 | 3 | 2016-02-02 |
| 8 | 3 | 2016-02-02 |
| 9 | 5 | 2016-02-02 |
| 10| 4 | 2016-02-02 |
+----+----------+-----+---------+---+
Campaign Table
+-------------+----------------+--------------------
| CampaignID | DailyMaxImpressions | CampaignActive
+-------------+----------------+--------------------
| 1 | 5 | Y |
| 2 | 5 | Y |
| 3 | 5 | Y |
| 4 | 5 | Y |
| 5 | 1 | Y |
+-------------+----------------+--------------------
What I am trying to do is get a single random campaign where the the count in transaction table is less than the daily max impressions in the campaign table. I might also be passing a date s part of the query for the transaction table
So for CampaignId 1 there must be 4 trans of less in the transaction table and the Campaignactive must be a "Y"
Any help would be appreciated if this can be done in a single statement. ( mysql )
Thanks in advance,
Jeff Godstein
This should get it for you. The basic query is select each campaign that is active. The INNER query will pre-aggregate per campaign for the given date in question. From that, a LEFT-JOIN allows any campaign to be returned even if it does NOT exist within the subquery OR it DOES exist, but the count is less than that allowed for the date in question. The order by RAND() is obvious.
SELECT
c.CampaignID
from
Campaign c
LEFT JOIN
( select
t1.CampaignID,
count(*) as CampCount
from
Transaction t1
where
t1.Date = YourDateParameterValue
group by
t1.CampaignID ) as T
ON c.CampaignID = T.CampaignID
where
c.CampaignActive = 'Y'
AND ( t.CampaignID IS NULL
OR t.CampCount < c.DailyMaxImpressions )
order by
RAND()
I'm trying to create a MySQL query to select the daily price from a table that is between a date range from another. I only want to use 'starting-ending' months and days from the table "seasons" and I want to pass the year dynamically to the query.
This is my query: (I'm giving it the Year to exclude the one on the table)
SELECT a.season, b.base_price
FROM seasons a
JOIN pricebyseason b ON a.id=b.season_id
WHERE b.prop_id='6' AND '2015-11-29' BETWEEN DATE_FORMAT(a.starting,'2015-%m-%d') AND DATE_FORMAT(a.ending,'2016-%m-%d')
ORDER BY b.base_price DESC
It works but not with all dates.
These are the tables:
seasons (these are static date values)
+----+--------------+------------+------------+
| id | season | starting | ending |
+----+--------------+------------+------------+
| 1 | Peak Season | 2015-12-11 | 2016-01-09 |
| 2 | High Season | 2015-11-27 | 2016-04-15 |
| 3 | Mid Season | 2015-04-16 | 2015-09-01 |
| 4 | Low Season | 2015-09-02 | 2015-11-26 |
| 5 | Spring Break | 2015-03-05 | 2015-03-21 |
+----+--------------+------------+------------+
pricebyseason
+----+---------+-----------+------------+
| id | prop_id | season_id | base_price |
+----+---------+-----------+------------+
| 1 | 6 | 1 | 950 |
| 2 | 6 | 2 | 750 |
| 3 | 6 | 3 | 450 |
| 4 | 6 | 4 | 400 |
| 5 | 6 | 5 | 760 |
+----+---------+-----------+------------+
What I want to achive is query the dialy price between checkin, checkout selection
I create this sqlfiddle: http://sqlfiddle.com/#!9/4a6f4
This is a previuos query that is not working either:
SELECT a.base_price,b.season,b.starting,b.ending
FROM pricebyseason a JOIN seasons b ON a.season_id=b.id
WHERE a.prop_id='6' AND
(DATE_FORMAT(b.starting,'%m-%d') <= '12-27' OR DATE_FORMAT(b.starting,'2016-%m-%d') >= '2015-12-27')
AND
(DATE_FORMAT(b.ending,'%m-%d') >= '12-27' OR DATE_FORMAT(b.ending,'2016-%m-%d') <= '2015-12-27')
ORDER BY base_price DESC
And here are some sample dates for each season: '2016-01-08','2015-12-27','2016-04-14','2015-11-29','2016-04-15','2015-09-01','2016-09-02','2015-11-26','2016-10-10','2016-03-18','2016-06-22','2015-06-15'
Thank a lot