This is my table with sample data:
Table:PersTrans
+------------+-------------+------+-----+------------+-------+
| Field | Type | Null | Key | Default | Extra |
+------------+-------------+------+-----+------------+-------+
| PersTrID | char(10) | NO | PRI | | |
| PersTrSeq | int(11) | NO | PRI | 0 | |
| PersTrDate | date | YES | | 1001-01-01 | |
| PersTrPaid | float(9,2) | YES | | 0.00 | |
+------------+-------------+------+-----+------------+-------+
mysql> select * from PersTrans;
+------------+-----------+-----------+-------------+
| PersTrID | PersTrSeq | PersTrDate | PersTrPaid |
+------------+-----------+-----------+-------------+
| MOCK | 1 | 2015-10-10 | 400.00 |
| MOCK | 2 | 2017-11-07 | 10.00 |
| NAGA | 1 | 2015-11-11 | 500.00 |
| NASSA | 1 | 2015-12-16 | 800.00 |
+------------+-----------+-----------+-------------+
I'd like to pick up the maximum PersTrSeq, and attach it to all the records that have the same PersTrId. What I want:
+------------+-----------+------------+------------+----------------+
| PersTrID | PersTrSeq | PersTrDate | PersTrPaid | max(PersTrSeq) |
+------------+-----------+-----------+------------+-----------------+
| MOCK | 1 | 2015-10-10 | 400.00 | 2 |
| MOCK | 2 | 2017-11-07 | 10.00 | 2 |
| NAGA | 1 | 2015-11-11 | 500.00 | 1 |
| NASSA | 1 | 2015-12-16 | 800.00 | 1 |
+------------+-----------+-----------+------------+-----------------+
These two attempts didn't work. I've looked for other suggestions but haven't found anything helpful.
mysql> SELECT *, max(PersTrSeq) from PersTrans where PersTransId = 'Mock' group by PersTrSeq;
+------------+-----------+------------+------------+----------------+
| PersTrID | PersTrSeq | PersTrDate | PersTrPaid | max(PersTrSeq) |
+------------+-----------+-----------+------------+-----------------+
| MOCk | 1 | 2015-10-10 | 400.00 | 1 |
| MOCK | 2 | 2017-11-07 | 10.00 | 2 |
+------------+-----------+-----------+------------+-----------------+
mysql> SELECT *, max(PersTrSeq) as maxseq from PersTrans group by PersTrId;
+------------+-----------+------------+------------+--------+
| PersTrID | PersTrSeq | PersTrDate | PersTrPaid | maxseq |
+------------+------------+-----------+------------+--------+
| MOCK | 1 | 2015-10-10 | 400.00 | 2 |
| NAGA | 1 | 2015-11-11 | 500.00 | 1 |
| NASSA | 1 | 2015-12-16 | 800.00 | 1 |
+------------+-----------+-----------+------------+---------+
Can anyone offer a single query that will get the result I'm looking for?
Following query will work:
select *,
(select max(PersTrSeq) from PersTrans p2
where p2.PersTrId = p1.PersTrId
) as maxSeq
from PersTrans p1;
If I understand what you want, you want the same number of records as the actual data, substituting the max(PersTrSeq) for all rows with a certain PersTrID.
SELECT
`PerTrID`,
(SELECT max(`PersTrSeq`) FROM `PersTrans` b WHERE b.`PersTrID = a.`PersTrID`) as `PersTrSeq`,
`PersTrDate`,
`PersTrPaid`,
from `PersTrans` a
Related
+---------+----------------+--------+
| aid | fn | col_no |
+---------+----------------+--------+
| 2011768 | ABDUL | 5 |
| 2011499 | ABDULLA | 4 |
| 2011198 | ADNAN | 3 |
| 2011590 | AKSHAYA PRAISY | 2 |
| 2011749 | AMIR | 1 |
| 2011213 | AMOGHA | 5 |
| 2011027 | ANU | 4 |
| 2011046 | ANUDEV D | 3 |
| 2011435 | B S SAHANA | 2 |
| 2011112 | BENAKA | 1 |
+---------+----------------+--------+
How to sort the number like col_no as 1 2 3 4 5 and again repeat as 1 2 3 4 5?
i need output like this
+---------+----------------+--------+
| aid | fn | col_no |
+---------+----------------+--------+
| 2011749 | AMIR | 1 |
| 2011590 | AKSHAYA PRAISY | 2 |
| 2011198 | ADNAN | 3 |
| 2011499 | ABDULLA | 4 |
| 2011768 | ABDUL | 5 |
| 2011112 | BENAKA | 1 |
| 2011435 | B S SAHANA | 2 |
| 2011046 | ANUDEV D | 3 |
| 2011027 | ANU | 4 |
| 2011213 | AMOGHA | 5 |
+---------+----------------+--------+
You can use row_number() partition by col_no:
select t.*
from t
order by row_number() over (partition by col_no order by fn),
col_no;
Here is a db<>fiddle.
I am trying to find account info for which the sum of available_balance is between two values. I tried to the following but it is not working as expected:
SELECT sum(a.avail_balance) `sum`
FROM account a
WHERE `sum` BETWEEN 5000 AND 10000
Result:ERROR 1054 (42S22): Unknown column 'sum' in 'where clause'
How can I accomplish my intended result?
My table:
+------------+------------+---------+------------+------------+--------------------+--------+----------------+-------------+---------------+-----------------+
| account_id | product_cd | cust_id | open_date | close_date | last_activity_date | status | open_branch_id | open_emp_id | avail_balance | pending_balance |
+------------+------------+---------+------------+------------+--------------------+--------+----------------+-------------+---------------+-----------------+
| 1 | CHK | 1 | 2000-01-15 | NULL | 2005-01-04 | ACTIVE | 2 | 10 | 1057.75 | 1057.75 |
| 2 | SAV | 1 | 2000-01-15 | NULL | 2004-12-19 | ACTIVE | 2 | 10 | 500.00 | 500.00 |
| 3 | CD | 1 | 2004-06-30 | NULL | 2004-06-30 | ACTIVE | 2 | 10 | 3000.00 | 3000.00 |
| 4 | CHK | 2 | 2001-03-12 | NULL | 2004-12-27 | ACTIVE | 2 | 10 | 2258.02 | 2258.02 |
| 5 | SAV | 2 | 2001-03-12 | NULL | 2004-12-11 | ACTIVE | 2 | 10 | 200.00 | 200.00 |
| 7 | CHK | 3 | 2002-11-23 | NULL | 2004-11-30 | ACTIVE | 3 | 13 | 1057.75 | 1057.75 |
| 8 | MM | 3 | 2002-12-15 | NULL | 2004-12-05 | ACTIVE | 3 | 13 | 2212.50 | 2212.50 |
| 10 | CHK | 4 | 2003-09-12 | NULL | 2005-01-03 | ACTIVE | 1 | 1 | 534.12 | 534.12 |
| 11 | SAV | 4 | 2000-01-15 | NULL | 2004-10-24 | ACTIVE | 1 | 1 | 767.77 | 767.77 |
| 12 | MM | 4 | 2004-09-30 | NULL | 2004-11-11 | ACTIVE | 1 | 1 | 5487.09 | 5487.09 |
| 13 | CHK | 5 | 2004-01-27 | NULL | 2005-01-05 | ACTIVE | 4 | 16 | 2237.97 | 2897.97 |
| 14 | CHK | 6 | 2002-08-24 | NULL | 2004-11-29 | ACTIVE | 1 | 1 | 122.37 | 122.37 |
| 15 | CD | 6 | 2004-12-28 | NULL | 2004-12-28 | ACTIVE | 1 | 1 | 10000.00 | 10000.00 |
| 17 | CD | 7 | 2004-01-12 | NULL | 2004-01-12 | ACTIVE | 2 | 10 | 5000.00 | 5000.00 |
| 18 | CHK | 8 | 2001-05-23 | NULL | 2005-01-03 | ACTIVE | 4 | 16 | 3487.19 | 3487.19 |
| 19 | SAV | 8 | 2001-05-23 | NULL | 2004-10-12 | ACTIVE | 4 | 16 | 387.99 | 387.99 |
| 21 | CHK | 9 | 2003-07-30 | NULL | 2004-12-15 | ACTIVE | 1 | 1 | 125.67 | 125.67 |
| 22 | MM | 9 | 2004-10-28 | NULL | 2004-10-28 | ACTIVE | 1 | 1 | 9345.55 | 9845.55 |
| 23 | CD | 9 | 2004-06-30 | NULL | 2004-06-30 | ACTIVE | 1 | 1 | 1500.00 | 1500.00 |
| 24 | CHK | 10 | 2002-09-30 | NULL | 2004-12-15 | ACTIVE | 4 | 16 | 23575.12 | 23575.12 |
| 25 | BUS | 10 | 2002-10-01 | NULL | 2004-08-28 | ACTIVE | 4 | 16 | 0.00 | 0.00 |
| 27 | BUS | 11 | 2004-03-22 | NULL | 2004-11-14 | ACTIVE | 2 | 10 | 9345.55 | 9345.55 |
| 28 | CHK | 12 | 2003-07-30 | NULL | 2004-12-15 | ACTIVE | 4 | 16 | 38552.05 | 38552.05 |
| 29 | SBL | 13 | 2004-02-22 | NULL | 2004-12-17 | ACTIVE | 3 | 13 | 50000.00 | 50000.00 |
+------------+------------+---------+------------+------------+--------------------+--------+----------------+-------------+---------------+-----------------+
You can only use aggregates for comparison in the HAVING clause:
GROUP BY ...
HAVING SUM(avail_balance) BETWEEN 5000 AND 10000
The HAVING clause requires you to define a GROUP BY clause.
Assuming, you want to SUM the balance for each cust_id, you need something like
SELECT sum(a.avail_balance) `sum`
FROM account a
GROUP BY `cust_id`
HAVING SUM(a.avail_balance) BETWEEN 5000 AND 10000
SELECT sum(a.avail_balance)'sum'
FROM account a
WHERE a.avail_balance between 5000 and 10000
Aggregate functions(AVG,COUNT,MIN,MAX,SUM) for comparison can be achieved by using the "HAVING" clause which requires "GROUP BY" clause(relevant category column depending on the requirement).
As rightly pointed by Pankaj Gadge, cust_id is the most suitable for the requirement of the problem statement
SELECT SUM(a.avail_balance) 'Sum'
FROM account a
GROUP BY cust_id
HAVING SUM(a.avail_balance) BETWEEN 5000 AND 10000;
aggregate may not appear in the WHERE clause unless it is in a subquery contained in a HAVING clause
ex: group by column_name
having sum(avail_balance) between 5000 and 10000
I have two column with the same name in different tables.
I want to join them into one column in a view.
Here my first table stocks:
+----------+------------+------------+---------+----------------+--------+
| stock_id | stock_cost | stock_left | item_id | purchasedtl_id | trx_id |
+----------+------------+------------+---------+----------------+--------+
| 1 | 1000 | 0 | 1 | 1 | 1 |
| 2 | 1000 | 5 | 1 | 2 | 2 |
| 3 | 1000 | 1 | 1 | 3 | 4 |
+----------+------------+------------+---------+----------------+--------+
Second table stocks_out
+-------------+----------------+--------------+---------+----------+------------+--------+
| stockout_id | stockout_price | stockout_qty | item_id | stock_id | saledtl_id | trx_id |
+-------------+----------------+--------------+---------+----------+------------+--------+
| 1 | 2000 | 1 | 1 | 1 | 1 | 3 |
+-------------+----------------+--------------+---------+----------+------------+--------+
And I want to join them to be like this trx_id, trx_no, trx_closetime, trx_type stock_id, stock_cost, stockout_id, stock_out_cost, stockout_price, item_id
item_id is the field I want to join in one column.
The current Query is :
select `transactions`.`trx_id` AS `trx_id`,`transactions`.`trx_no` AS `trx_no`,`transactions`.`trx_closetime` AS `trx_closetime`,`transactions`.`trx_type` AS `trx_type`,`stocks`.`stock_id` AS `stock_id`,`stocks`.`stock_cost` AS `stock_cost`,`stock_out`.`stockout_id` AS `stockout_id`,`stock_out`.`stockout_price` AS `stockout_price` from ((`transactions` left join `stocks` on(`stocks`.`trx_id` = `transactions`.`trx_id`)) left join `stock_out` on(`stock_out`.`trx_id` = `transactions`.`trx_id`)) order by `transactions`.`trx_closetime`;
And the current result:
+--------+---------------------+---------------------+----------+----------+------------+-------------+----------------+
| trx_id | trx_no | trx_closetime | trx_type | stock_id | stock_cost | stockout_id | stockout_price |
+--------+---------------------+---------------------+----------+----------+------------+-------------+----------------+
| 1 | 02002-02-170415-001 | 2017-04-15 19:40:03 | 2 | 1 | 1000 | NULL | NULL |
| 2 | 02002-02-170415-002 | 2017-04-15 19:40:13 | 2 | 2 | 1000 | NULL | NULL |
| 3 | 02002-01-170415-001 | 2017-04-15 19:40:57 | 1 | NULL | NULL | 1 | 2000 |
| 4 | 02002-02-170415-003 | 2017-04-15 19:41:14 | 2 | 3 | 1000 | NULL | NULL |
+--------+---------------------+---------------------+----------+----------+------------+-------------+----------------+
Found it guys.
I just need to add the following query as the column
COALESCE(`stocks`.`item_id`, `stocks_out`.`item_id`) AS `item_id`
So the query will be like
select `transactions`.`trx_id` AS `trx_id`,`transactions`.`trx_no` AS `trx_no`,`transactions`.`trx_closetime` AS `trx_closetime`,`transactions`.`trx_type` AS `trx_type`,`stocks`.`stock_id` AS `stock_id`,`stocks`.`stock_cost` AS `stock_cost`,`stock_out`.`stockout_id` AS `stockout_id`,`stock_out`.`stockout_price` AS `stockout_price`, COALESCE(`stocks`.`item_id`, `stocks_out`.`item_id`) AS `item_id from ((`transactions` left join `stocks` on(`stocks`.`trx_id` = `transactions`.`trx_id`)) left join `stock_out` on(`stock_out`.`trx_id` = `transactions`.`trx_id`)) order by `transactions`.`trx_closetime`;
And the result:
+--------+---------------------+---------------------+----------+----------+------------+-------------+----------------+---------+
| trx_id | trx_no | trx_closetime | trx_type | stock_id | stock_cost | stockout_id | stockout_price | item_id |
+--------+---------------------+---------------------+----------+----------+------------+-------------+----------------+---------+
| 1 | 02002-02-170415-001 | 2017-04-15 19:40:03 | 2 | 1 | 1000 | NULL | NULL | 1 |
| 2 | 02002-02-170415-002 | 2017-04-15 19:40:13 | 2 | 2 | 1000 | NULL | NULL | 1 |
| 3 | 02002-01-170415-001 | 2017-04-15 19:40:57 | 1 | NULL | NULL | 1 | 2000 | 1 |
| 4 | 02002-02-170415-003 | 2017-04-15 19:41:14 | 2 | 3 | 1000 | NULL | NULL | 1 |
+--------+---------------------+---------------------+----------+----------+------------+-------------+----------------+---------+
I have a table as below
+---+------------+----------+
| ID| Date | Amount_1 |
+---+------------+----------+
| 1 | 2016-02-02 | 100.00 |
| 1 | 2016-02-05 | 150.00 |
| 1 | 2016-02-09 | 125.00 |
| 1 | 2016-02-11 | 75.00 |
| 1 | 2016-02-19 | -46.99 |
| 1 | 2016-02-20 | -41.33 |
| 1 | 2016-02-29 | -14.15 |
+---+------------+----------+
I want to derived another column in this table say Amount_2 from Amount_1, and the value for each row of Amount_2 must be the sum of previous row and current row of Amount_1 column.
I mean I want to get the below table.
+---+------------+----------+----------+
| ID| Date | Amount_1 | Amount_2 |
+---+------------+----------+----------+
| 1 | 2016-02-02 | 100.00 | 100.00 |
| 1 | 2016-02-05 | 150.00 | 250.00 |
| 1 | 2016-02-09 | 125.00 | 375.00 |
| 1 | 2016-02-11 | 75.00 | 450.00 |
| 1 | 2016-02-19 | -46.99 | 403.01 |
| 1 | 2016-02-20 | -41.33 | 361.68 |
| 1 | 2016-02-29 | -14.15 | 347.53 |
+---+------------+----------+----------+
Try like this:
SELECT m.ID, m.Date, m.Amount_1, (#x:= m.Amount_1 + #x) AS Amount_2
FROM mytable m,(SELECT #x:=0) c
You can get by using session varable
SET #old_amount = 0;
SELECT ID, Date,Amount_1, (#old_amount := Amount_1 + #old_amount) AS Amount_2
FROM table_name
ORDER BY date;
Despite spending an hour on this, the solution is eluding me still. I have a complex-ish query that is returning incorrect data for the SUM(). Yet, when I strip it down to the barest form, it outputs the correct data. But why and fix, I cannot figure out.
The Problem
SELECT po.*, SUM( poo.material_qty ) AS total_items_ordered, suppliers.supplier_name
FROM `purchase_orders` po
LEFT JOIN purchase_orders_items poo ON poo.poid = po.poid
LEFT JOIN suppliers ON suppliers.supplier_id = po.supplier_id
LEFT JOIN materials_batch mb ON mb.purchase_order_no = po.poid
WHERE po_status NOT
IN (
'Fulfilled', 'Cancelled'
)
AND batch_status NOT
IN (
'Arrived', 'Cancelled', 'Refused', 'Missing', 'Damaged', 'Completed'
)
GROUP BY po.poid
ORDER BY date_expected ASC
Provides wildly incorrect data for 'total_items_ordered'.
+-------+---------------------+---------------------+-------------+--------+-------------+--------+-----------+---------+----------+--------+----+--------+-----------+---------------------+-----------------------+
| poid | date_raised | date_expected | supplier_id | job_id | job_item_id | ref_no | sub_total | VAT | total | userid | DN | manual | po_status | total_items_ordered | supplier_name |
+-------+---------------------+---------------------+-------------+--------+-------------+--------+-----------+---------+----------+--------+----+--------+-----------+---------------------+-----------------------+
| 15571 | 2014-06-24 13:32:55 | 2014-06-25 00:00:00 | 1 | 0 | 0 | | 14850.10 | 2970.02 | 17820.12 | 1 | | N | Raised | 545 | John Parker & Son Ltd |
| 15572 | 2014-06-24 13:33:26 | 2014-06-25 00:00:00 | 1 | 0 | 0 | | 997.80 | 199.56 | 1197.36 | 1 | | N | Raised | 80 | John Parker & Son Ltd |
+-------+---------------------+---------------------+-------------+--------+-------------+--------+-----------+---------+----------+--------+----+--------+-----------+---------------------+-----------------------+
2 rows in set (0.00 sec)
And yet, when I strip all the complexities out of the query and run the raw SUM(), the value is correct:
mysql> SELECT poid, SUM(material_qty) AS total_items_ordered FROM `purchase_orders_items` GROUP BY poid;
+-------+---------------------+
| poid | total_items_ordered |
+-------+---------------------+
| 15571 | 109 |
| 15572 | 20 |
+-------+---------------------+
2 rows in set (0.00 sec)
Can anyone shed any light on where I'm going wrong here?? I've included all the test table content below just in case you can spot something I've missed. Thank you!
Data Example
mysql> SELECT * FROM purchase_orders;
+-------+---------------------+---------------------+-------------+--------+-------------+--------+-----------+---------+----------+--------+----+--------+-----------+
| poid | date_raised | date_expected | supplier_id | job_id | job_item_id | ref_no | sub_total | VAT | total | userid | DN | manual | po_status |
+-------+---------------------+---------------------+-------------+--------+-------------+--------+-----------+---------+----------+--------+----+--------+-----------+
| 15571 | 2014-06-24 13:32:55 | 2014-06-25 00:00:00 | 1 | 0 | 0 | | 14850.10 | 2970.02 | 17820.12 | 1 | | N | Raised |
| 15572 | 2014-06-24 13:33:26 | 2014-06-25 00:00:00 | 1 | 0 | 0 | | 997.80 | 199.56 | 1197.36 | 1 | | N | Raised |
+-------+---------------------+---------------------+-------------+--------+-------------+--------+-----------+---------+----------+--------+----+--------+-----------+
2 rows in set (0.00 sec)
mysql> SELECT * FROM purchase_orders_items;
+--------+-------+-------------+--------------+----------------+--------------+--------------------------------------------------+
| poi_id | poid | material_id | material_qty | material_price | material_sku | material_name |
+--------+-------+-------------+--------------+----------------+--------------+--------------------------------------------------+
| 1 | 15571 | 2 | 3 | 100.00 | PKS275282 | 406x140 White Universal Beam (S355) |
| 2 | 15571 | 5 | 10 | 17.40 | 118-64-44 | Test Item (S275) |
| 3 | 15571 | 8 | 1 | 9984.50 | 113-64-21 | A really really really big universal beam (S355) |
| 4 | 15571 | 9 | 77 | 10.00 | 12345 | A thing |
| 5 | 15571 | 10 | 18 | 201.20 | 12-34-56 | 102x230 Narrow Beam (S355) |
| 6 | 15572 | 2 | 6 | 100.00 | PKS275282 | 406x140 White Universal Beam (S355) |
| 7 | 15572 | 5 | 9 | 17.40 | 118-64-44 | Test Item (S275) |
| 8 | 15572 | 9 | 4 | 10.00 | 12345 | A thing |
| 9 | 15572 | 10 | 1 | 201.20 | 12-34-56 | 102x230 Narrow Beam (S355) |
+--------+-------+-------------+--------------+----------------+--------------+--------------------------------------------------+
9 rows in set (0.00 sec)
mysql> SELECT * FROM suppliers;
+-------------+-----------------------+--------------------+--------------+---------------------+-------------------+-----------------------+--------------------------+---------------------+----------------------+
| supplier_id | supplier_name | supplier_telephone | supplier_fax | supplier_added_date | supplier_added_by | supplier_last_updated | supplier_last_updated_by | supplier_assessed | supplier_approved_by |
+-------------+-----------------------+--------------------+--------------+---------------------+-------------------+-----------------------+--------------------------+---------------------+----------------------+
| 1 | John Parker & Son Ltd | 01227 783333 | 0800 521932 | 2014-05-04 15:57:43 | 1 | 2014-06-05 16:38:23 | 1 | 2014-05-04 15:57:43 | 2 |
| 2 | Superior Glass Ltd. | 01825 764766 | 01825 767699 | 2014-05-04 17:48:38 | 1 | 2014-06-04 20:14:16 | 1 | 2014-05-04 17:48:38 | 3 |
| 3 | DTS Origins Ltd. | 01283 3283029 | 01928 303494 | 2014-05-04 17:51:57 | 1 | 2014-05-04 17:53:08 | 1 | 2014-05-04 17:51:57 | 2 |
+-------------+-----------------------+--------------------+--------------+---------------------+-------------------+-----------------------+--------------------------+---------------------+----------------------+
3 rows in set (0.00 sec)
mysql> SELECT * FROM materials_batch;
+-------------------+-------+---------------------+-------------------+------------------+-----+---------+------------+-------------+-------------+--------------+
| material_batch_id | poiid | rcvd_date | purchase_order_no | delivery_note_no | qty | rcvd_by | dn_scanned | material_id | supplier_id | batch_status |
+-------------------+-------+---------------------+-------------------+------------------+-----+---------+------------+-------------+-------------+--------------+
| 1 | 1 | 0000-00-00 00:00:00 | 15571 | | 3 | 0 | No | 2 | 1 | Ordered |
| 2 | 2 | 0000-00-00 00:00:00 | 15571 | | 10 | 0 | No | 5 | 1 | Ordered |
| 3 | 3 | 0000-00-00 00:00:00 | 15571 | | 1 | 0 | No | 8 | 1 | Ordered |
| 4 | 4 | 0000-00-00 00:00:00 | 15571 | | 77 | 0 | No | 9 | 1 | Ordered |
| 5 | 5 | 0000-00-00 00:00:00 | 15571 | | 18 | 0 | No | 10 | 1 | Ordered |
| 6 | 6 | 0000-00-00 00:00:00 | 15572 | | 6 | 0 | No | 2 | 1 | Ordered |
| 7 | 7 | 0000-00-00 00:00:00 | 15572 | | 9 | 0 | No | 5 | 1 | Ordered |
| 8 | 8 | 0000-00-00 00:00:00 | 15572 | | 4 | 0 | No | 9 | 1 | Ordered |
| 9 | 9 | 0000-00-00 00:00:00 | 15572 | | 1 | 0 | No | 10 | 1 | Ordered |
+-------------------+-------+---------------------+-------------------+------------------+-----+---------+------------+-------------+-------------+--------------+
The reason for the wrong results should be clear when you leave out the GROUP BY from your query. For each table you JOIN, the number of returned rows is multiplied by the number of rows found by the JOIN.
As the materials_batch table contains multiple entries per order, the resulting total_items_ordered is multiplied by 5 for order number 15571, and its multiplied by 4 for order number 15572.
Try the following:
SELECT
po.*,
(
SELECT SUM(poo.material_qty)
FROM purchase_orders_items poo
WHERE poo.poid = po.poid
) AS total_items_ordered,
suppliers.supplier_name
FROM `purchase_orders` po
LEFT JOIN suppliers ON suppliers.supplier_id = po.supplier_id
LEFT JOIN materials_batch mb ON mb.purchase_order_no = po.poid
WHERE po_status NOT
IN (
'Fulfilled', 'Cancelled'
)
AND batch_status NOT
IN (
'Arrived', 'Cancelled', 'Refused', 'Missing', 'Damaged', 'Completed'
)
GROUP BY po.poid
ORDER BY date_expected ASC