+----------+-----------+---------+------------+------------+-----------+
| issue_id | person_id | book_id | issue_date | due_date | status |
+----------+-----------+---------+------------+------------+-----------+
| 1 | 1 | 2 | 2022-04-24 | 2022-04-29 | returned |
| 2 | 3 | 5 | 2022-04-24 | 2022-04-30 | pending |
| 3 | 3 | 2 | 2022-04-24 | 2022-04-29 | pending |
| 4 | 2 | 4 | 2022-04-24 | 2022-04-29 | returned |
| 5 | 6 | 10 | 2022-04-28 | 2022-05-03 | pending |
| 6 | 1 | 4 | 2022-04-23 | 2022-04-25 | defaulter |
| 8 | 3 | 4 | 2022-04-26 | 2022-04-26 | pending |
+----------+-----------+---------+------------+------------+-----------+
this is my actual records but I want results where a person with multiple books will be shown as-> person-3, books- 5,2,4 which are pending, and if status like 'returned or defaulter' for the same person should have a separate entry.
+----------+-----------+-----------------------+------------+------------+---------+
| issue_id | person_id | group_concat(book_id) | issue_date | due_date | status |
+----------+-----------+-----------------------+------------+------------+---------+
| 2 | 3 | 5,2,4 | 2022-04-24 | 2022-04-30 | pending |
| 5 | 6 | 10 | 2022-04-28 | 2022-05-03 | pending |
+----------+-----------+-----------------------+------------+------------+---------+
how can I add a record with status return and defaulter in the above result?
Related
I'm trying to come up with a stored procedure that takes multiple rows that are exactly identical, and combines them into one row while summing one column, which can then be run through more stored procedures based on the sum of that one column.
I've tried a GROUP BY statement, but that doesn't actually group the rows together, because if I run the table through another procedure it performs actions as if each row were not combined. Performing a SELECT * FROM mytable query shows that each row was not actually combined into one.
Is there any way to permanently combine multiple rows into one singular row?
To start, I've got a table like this:
+-------+-----+--------+---------+------+-----+-----------+
| RowID | pID | Name | Date | Code | QTY | Purchased |
+-------+-----+--------+---------+------+-----+-----------+
| 1 | 1 | bob | 9/29/20 | 123 | 1 | |
| 2 | 1 | bob | 8/10/20 | 456 | 1 | |
| 3 | 2 | rob | 9/15/20 | 123 | 1 | |
| 4 | 2 | rob | 9/15/20 | 123 | 1 | |
| 5 | 2 | rob | 9/15/20 | 123 | 1 | |
| 6 | 2 | rob | 9/15/20 | 123 | 1 | |
| 7 | 2 | rob | 9/15/20 | 123 | 1 | |
| 8 | 3 | john | 7/12/20 | 987 | 1 | |
| 9 | 3 | john | 7/12/20 | 987 | 1 | |
| 10 | 4 | george | 9/12/20 | 684 | 1 | |
| 11 | 5 | paul | 2/2/20 | 454 | 1 | |
| 12 | 6 | amy | 1/12/20 | 252 | 1 | |
| 13 | 7 | susan | 5/30/20 | 131 | 1 | |
| 14 | 7 | susan | 6/6/20 | 252 | 1 | |
| 15 | 7 | susan | 5/30/20 | 131 | 1 | |
+-------+-----+--------+---------+------+-----+-----------+
By the end, i'd like to have a table like this:
+-------+-----+--------+---------+------+-----+-----------+
| RowID | pID | Name | Date | Code | QTY | Purchased |
+-------+-----+--------+---------+------+-----+-----------+
| 1 | 1 | bob | 9/29/20 | 123 | 1 | |
| 2 | 1 | bob | 8/10/20 | 456 | 1 | |
| 3 | 2 | rob | 9/15/20 | 123 | 5 | |
| 4 | 3 | john | 7/12/20 | 987 | 2 | |
| 5 | 4 | george | 9/12/20 | 684 | 1 | |
| 6 | 5 | paul | 2/2/20 | 454 | 1 | |
| 7 | 6 | amy | 1/12/20 | 252 | 1 | |
| 8 | 7 | susan | 5/30/20 | 131 | 2 | |
| 9 | 7 | susan | 6/6/20 | 252 | 1 | |
+-------+-----+--------+---------+------+-----+-----------+
Where exactly identical rows are combined into one row, and the QTY field is summed, that I can then add purchases to, or make deductions from the quantity as a total. Using GROUP BY statements can achieve this, but when I go to alter the quantity or add purchases to each person, it treats it like the first table, as if nothing was actually grouped.
So you have this table:
| RowID | pID | Name | Date | Code | QTY | Purchased |
+-------+-----+--------+---------+------+-----+-----------+
| 1 | 1 | bob | 9/29/20 | 123 | 1 | |
| 2 | 1 | bob | 8/10/20 | 456 | 1 | |
| 3 | 2 | rob | 9/15/20 | 123 | 1 | |
| 4 | 2 | rob | 9/15/20 | 123 | 1 | |
| 5 | 2 | rob | 9/15/20 | 123 | 1 | |
| 6 | 2 | rob | 9/15/20 | 123 | 1 | |
| 7 | 2 | rob | 9/15/20 | 123 | 1 | |
| 8 | 3 | john | 7/12/20 | 987 | 1 | |
| 9 | 3 | john | 7/12/20 | 987 | 1 | |
| 10 | 4 | george | 9/12/20 | 684 | 1 | |
| 11 | 5 | paul | 2/2/20 | 454 | 1 | |
| 12 | 6 | amy | 1/12/20 | 252 | 1 | |
| 13 | 7 | susan | 5/30/20 | 131 | 1 | |
| 14 | 7 | susan | 6/6/20 | 252 | 1 | |
| 15 | 7 | susan | 5/30/20 | 131 | 1 | |
The best way, as has been suggested, is to create a new table with the content of your query, then to rename the old table, and the new table to the original table's name, to check if everything is all right, and to drop the original table if yes.
CREATE TABLE indata_new AS
WITH grp AS (
SELECT
MIN(rowid) AS orowid
, pid
, name
, MAX(date) AS date
, code
, SUM(qty) AS qty
FROM indata
GROUP BY
pid
, name
, code
)
SELECT
ROW_NUMBER() OVER(ORDER BY orowid ASC) AS rowid
, *
FROM grp;
ALTER TABLE indata RENAME TO indata_old;
ALTER TABLE indata_new RENAME TO indata;
-- if "indata" now contains the data you want ...
SELECT * FROM indata;
-- out rowid | orowid | pid | name | date | code | qty
-- out -------+--------+-----+--------+------------+------+-----
-- out 1 | 1 | 1 | bob | 2020-09-29 | 123 | 1
-- out 2 | 2 | 1 | bob | 2020-08-10 | 456 | 1
-- out 3 | 3 | 2 | rob | 2020-09-15 | 123 | 5
-- out 4 | 8 | 3 | john | 2020-07-12 | 987 | 2
-- out 5 | 10 | 4 | george | 2020-09-12 | 684 | 1
-- out 6 | 11 | 5 | paul | 2020-02-02 | 454 | 1
-- out 7 | 12 | 6 | amy | 2020-01-12 | 252 | 1
-- out 8 | 13 | 7 | susan | 2020-05-30 | 131 | 2
-- out 9 | 14 | 7 | susan | 2020-06-06 | 252 | 1
-- you can ...
DROP TABLE indata_old;
How to calculate opening and closing stocks for particular date range
I want to calculate opening and closing stocks for items for a provided date range.
I have tables as follows,
global_items:
+-----+--------+
| id | name |
+-----+--------+
| 1 | item 1 |
+-----+--------+
| 2 | item 2 |
+-----+--------+
| 3 | item 3 |
+-----+--------+
| 4 | item 4 |
+-----+--------+
| ... | ... |
+-----+--------+
my_items:
+-----+----------------+-----------+
| id | global_item_id | outlet_id |
+-----+----------------+-----------+
| 1 | 1 | 7 |
+-----+----------------+-----------+
| 2 | 2 | 7 |
+-----+----------------+-----------+
| 3 | 3 | 7 |
+-----+----------------+-----------+
| 4 | 4 | 7 |
+-----+----------------+-----------+
| ... | ... | ... |
+-----+----------------+-----------+
my_item_stocks:
+-----+------------+---------+---------------+-----------+---------------+-------+
| id | my_item_id | size_id | purchase_rate | sale_rate | opening_stock | stock |
+-----+------------+---------+---------------+-----------+---------------+-------+
| 1 | 1 | 10 | 100 | 200 | 0 | 0 |
+-----+------------+---------+---------------+-----------+---------------+-------+
| 2 | 1 | 11 | 100 | 200 | 0 | 5 |
+-----+------------+---------+---------------+-----------+---------------+-------+
| 3 | 2 | 10 | 100 | 200 | 1.05 | 1.05 |
+-----+------------+---------+---------------+-----------+---------------+-------+
| 4 | 3 | 12 | 100 | 200 | 10 | 10 |
+-----+------------+---------+---------------+-----------+---------------+-------+
| ... | ... | ... | 100 | 200 | 0 | 1 |
+-----+------------+---------+---------------+-----------+---------------+-------+
sizes:
+-----+--------+----------+
| id | name | quantity |
+-----+--------+----------+
| 10 | 750 ml | 750 |
+-----+--------+----------+
| 11 | 500 ml | 500 |
+-----+--------+----------+
| 12 | 350 ml | 350 |
+-----+--------+----------+
| ... | ... | ... |
+-----+--------+----------+
Then I have sales and purchases tables as follows, adding purchase updates the stock in my_item_stocks and adding sale reduces stock.
purchases:
+-----+------------+-----------+
| id | date | outlet_id |
+-----+------------+-----------+
| 1 | 2018-07-01 | 7 |
+-----+------------+-----------+
| 2 | 2018-07-10 | 7 |
+-----+------------+-----------+
| 3 | 2018-07-19 | 7 |
+-----+------------+-----------+
| ... | ... | ... |
+-----+------------+-----------+
purchase_items:
+-----+-------------+------------+---------+----------+
| id | purchase_id | my_item_id | size_id | quantity |
+-----+-------------+------------+---------+----------+
| 1 | 1 | 1 | 10 | 2 |
+-----+-------------+------------+---------+----------+
| 2 | 1 | 2 | 11 | 5 |
+-----+-------------+------------+---------+----------+
| 3 | 2 | 2 | 10 | 17 |
+-----+-------------+------------+---------+----------+
| 4 | 3 | 2 | 12 | 15 |
+-----+-------------+------------+---------+----------+
| 5 | 3 | 2 | 12 | 10 |
+-----+-------------+------------+---------+----------+
| ... | ... | ... | ... | ... |
+-----+-------------+------------+---------+----------+
sales:
+-----+------------+-----------+
| id | date | outlet_id |
+-----+------------+-----------+
| 1 | 2018-07-01 | 7 |
+-----+------------+-----------+
| 2 | 2018-07-10 | 7 |
+-----+------------+-----------+
| 3 | 2018-07-19 | 7 |
+-----+------------+-----------+
| ... | ... | ... |
+-----+------------+-----------+
sale_items:
+-----+-------------+------------+---------+------+
| id | sale_id | my_item_id | size_id | quantity |
+-----+---------+------------+---------+----------+
| 1 | 1 | 1 | 10 | 1 |
+-----+---------+------------+---------+----------+
| 2 | 1 | 2 | 11 | 2 |
+-----+---------+------------+---------+----------+
| 3 | 2 | 2 | 10 | 10 |
+-----+---------+------------+---------+----------+
| 4 | 3 | 2 | 12 | 5 |
+-----+---------+------------+---------+----------+
| 5 | 3 | 2 | 12 | 2 |
+-----+---------+------------+---------+----------+
| ... | ... | ... | ... | ... |
+-----+---------+------------+---------+----------+
Now for selected date range e.g. from 2018-07-01 to 2018-07-19 I want the output like below,
+-----------+--------------------------+--------------------------+--------------------------+--------------------------+
| Item Name | Opening Stock | Purchase | Sale | Closing Stock |
+ +--------------------------+--------------------------+--------------------------+--------------------------+
| | 750 ml | 500 ml | 350 ml | 750 ml | 500 ml | 350 ml | 750 ml | 500 ml | 350 ml | 750 ml | 500 ml | 350 ml |
+-----------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
| Item 1 | | | | 2 | 5 | | 1 | 2 | | 3 | 7 | |
+-----------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
| Item 2 | 1.05 | | | 17 | | | 10 | | | 8.05 | | |
+-----------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
+-----------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
I am not sql pro, how can I achieve this? I am confused because of lot of related tables, just want right direction.
I am doing this is laravel so please suggest even if there is any way to achieve this using eloquent.
Models: GlobalItem, MyItem, MyItemStock, Size, Purchase, PurchaseItem, Sale, SaleItem
Many thanks!
I need to create a log having the purchase date of an item.
Items can be owned by only one buyer at time. So, for example, if item1 was purchased by buyer2 in 2009 and after by buyer1 in 2015, then between 2009 and 2015 was owned by buyer2.
Here is my table:
+--------+------------+-----------+----------+
| id_doc | date | id_item | id_buyer |
+--------+------------+-----------+----------+
| 11 | 2016-06-07 | 1 | 4 |
| 10 | 2016-06-06 | 1 | 4 |
| 1 | 2015-11-30 | 1 | 1 |
| 9 | 2009-01-01 | 1 | 2 |
| 4 | 2001-01-12 | 1 | 2 |
| 8 | 1996-06-06 | 1 | 2 |
| 3 | 1995-05-29 | 1 | 1 |
| 2 | 1998-05-23 | 2 | 2 |
| 7 | 2014-10-10 | 3 | 2 |
| 6 | 2003-12-12 | 3 | 3 |
| 5 | 1991-01-12 | 3 | 2 |
+--------+------------+-----------+----------+
Here is a kind of table/view I need:
+------------+------------+-----------+----------+--------+
| date_from | date_to | id_item | id_buyer | id_doc |
+------------+------------+-----------+----------+--------+
| 2016-06-07 | - | 1 | 4 | 11 |
| 2016-06-06 | 2016-06-07 | 1 | 4 | 10 |
| 2015-11-30 | 2016-06-06 | 1 | 1 | 1 |
| 2009-01-01 | 2015-11-30 | 1 | 2 | 9 |
| 2001-01-12 | 2009-01-01 | 1 | 2 | 4 |
| 1996-06-06 | 2001-01-12 | 1 | 2 | 8 |
| 1995-05-29 | 1996-06-06 | 1 | 1 | 3 |
| 1998-05-23 | - | 2 | 2 | 2 |
| 2014-10-10 | - | 3 | 2 | 7 |
| 2003-12-12 | 2014-10-10 | 3 | 3 | 6 |
| 1991-01-12 | 2003-12-12 | 3 | 2 | 5 |
+------------+------------+-----------+----------+--------+
I've tried a lot with GROUP BY, GROUP_CONCAT, trying to access next record date, etc ... but I can't found out how to solve the problem.
Thanks in advance.
I finally found out the solution only for past purchases.
SELECT
main.id_doc, main.id_item, main.date AS "date_from", bi.date AS "date_to", main.id_buyer
FROM
MyTable main, MyTable bi
WHERE
bi.id_doc =
(
SELECT sub.id_doc
FROM MyTable sub
WHERE sub.id_item = main.id_item AND sub.date > main.date ORDER BY sub.date ASC LIMIT 1
);
I want to fetch the data from Table based on date but in an incremental way.
Suppose I have data like this which is grouped by date
| DATE | Count |
| 2015-06-23 | 10 |
| 2015-06-24 | 8 |
| 2015-06-25 | 6 |
| 2015-06-26 | 3 |
| 2015-06-27 | 2 |
| 2015-06-29 | 2 |
| 2015-06-30 | 3 |
| 2015-07-01 | 1 |
| 2015-07-02 | 3 |
| 2015-07-03 | 4 |
So the result should come like this
| DATE | Count| Sum|
| 2015-06-23 | 10 | 10 |
| 2015-06-24 | 8 | 18 |
| 2015-06-25 | 6 | 24 |
| 2015-06-26 | 3 | 27 |
| 2015-06-27 | 2 | 29 |
| 2015-06-29 | 2 | 31 |
| 2015-06-30 | 3 | 34 |
| 2015-07-01 | 1 | 35 |
| 2015-07-02 | 3 | 38 |
| 2015-07-03 | 4 | 42 |
You would join every other previous date on that date, and then sum the count on that
If you give me your table structure, I can make it run.
id, name, date_joined
SELECT counts.theCount, sum(counts.theCount), table.date_joined
FROM yourTable
LEFT JOIN
(SELECT count(*) as theCount, table.date_joined
FROM yourTable
GROUP BY table.date_joined
) as counts
ON
yourTable.date_joined> counts.date_joined
GROUP BY yourTable.date_joined
I am making a university-like database and am wondering how to join my enrolment and coursesTaken tables in order to show all the courses taken and presently enrolled in by all the students. Here is part of the enrolment table:
+--------------+------------+-------------------+---------------+-------------+
| EnrollmentID | EnrolledOn | Student_StudentID | Class_ClassID | Status |
+--------------+------------+-------------------+---------------+-------------+
| 1 | 08-23-2013 | 1 | 1 | In Progress |
| 2 | 08-23-2013 | 1 | 2 | In Progress |
| 3 | 08-23-2013 | 1 | 3 | In Progress |
| 4 | 08-23-2013 | 1 | 4 | In Progress |
| 5 | 08-23-2013 | 1 | 5 | In Progress |
| 6 | 08-23-2013 | 1 | 6 | In Progress |
| 7 | 08-23-2013 | 1 | 22 | In Progress |
| 8 | 08-23-2013 | 1 | 23 | In Progress |
| 9 | 08-23-2013 | 1 | 36 | In Progress |
| 10 | 08-23-2013 | 1 | 37 | In Progress |
| 11 | 08-23-2013 | 2 | 7 | In Progress |
| 12 | 08-23-2013 | 2 | 8 | In Progress |
| 13 | 08-23-2013 | 2 | 9 | In Progress |
| 14 | 08-23-2013 | 2 | 10 | In Progress |
| 15 | 08-23-2013 | 2 | 11 | In Progress |
and here is part of the courses taken table:
+-------------------+-----------------+-----------+--------+-----------+
| Student_StudentID | Course_CourseID | Pass/Fail | Credit | Status |
+-------------------+-----------------+-----------+--------+-----------+
| 2 | 1 | 1 | 1 | Completed |
| 2 | 2 | 1 | 1 | Completed |
| 2 | 3 | 1 | 1 | Completed |
| 2 | 4 | 1 | 1 | Completed |
| 2 | 5 | 1 | 1 | Completed |
| 2 | 6 | 1 | 1 | Completed |
| 2 | 22 | 1 | 1 | Completed |
| 2 | 23 | 1 | 1 | Completed |
| 2 | 24 | 1 | 1 | Completed |
| 2 | 25 | 1 | 1 | Completed |
| 3 | 1 | 1 | 1 | Completed |
| 3 | 2 | 1 | 1 | Completed |
| 3 | 3 | 1 | 1 | Completed |
| 3 | 4 | 1 | 1 | Completed |
| 3 | 5 | 1 | 1 | Completed |
| 3 | 6 | 1 | 1 | Completed |
As you can see some students such as student 1 do not have any courses taken since they are a first year and are only enrolled in courses. I would like a table that could put all of the studentID's from both tables in one table or view and list whether the status of their class is In Progress or if they have already completed the course.
Any advice on how I could join these 2 tables?
You can make a group by of both tables by student, then use a union query to add all the students id in one result.
Use this query as a subquery and make a left outer join to both tables and get the information related to the students you want.