I have a table containing donations, and I am now creating a page to view statistics. I would like to fetch monthly data from the database with gross and cumulative gross.
mysql> describe donations;
+------------------+------------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+------------------+------------------+------+-----+---------+----------------+
| id | int(10) unsigned | NO | PRI | NULL | auto_increment |
| transaction_id | varchar(64) | NO | UNI | | |
| donor_email | varchar(255) | NO | | | |
| net | double | NO | | 0 | |
| gross | double | NO | | NULL | |
| original_request | text | NO | | NULL | |
| time | datetime | NO | | NULL | |
| claimed | tinyint(4) | NO | | NULL | |
+------------------+------------------+------+-----+---------+----------------+
Here's what I've tried:
SET #cgross = 0;
SELECT YEAR(`time`), MONTH(`time`), SUM(`gross`), (#cgross := #cgross + SUM(`gross`)) AS `cumulative_gross` FROM `donations` GROUP BY YEAR(`time`), MONTH(`time`);
The result is:
+--------------+---------------+--------------+------------------+
| YEAR(`time`) | MONTH(`time`) | SUM(`gross`) | cumulative_gross |
+--------------+---------------+--------------+------------------+
| 2013 | 1 | 257 | 257 |
| 2013 | 2 | 140 | 140 |
| 2013 | 3 | 311 | 311 |
| 2013 | 4 | 279 | 279 |
+--------------+---------------+--------------+------------------+
Which is wrong. The desired result would be:
+--------------+---------------+--------------+------------------+
| YEAR(`time`) | MONTH(`time`) | SUM(`gross`) | cumulative_gross |
+--------------+---------------+--------------+------------------+
| 2013 | 1 | 257 | 257 |
| 2013 | 2 | 140 | 397 |
| 2013 | 3 | 311 | 708 |
| 2013 | 4 | 279 | 987 |
+--------------+---------------+--------------+------------------+
I tried this without SUM, and it did work as expected.
SET #cgross = 0;
SELECT YEAR(`time`), MONTH(`time`), SUM(`gross`), (#cgross := #cgross + 10) AS `cumulative_gross` FROM `donations` GROUP BY YEAR(`time`), MONTH(`time`);
+--------------+---------------+--------------+------------------+
| YEAR(`time`) | MONTH(`time`) | SUM(`gross`) | cumulative_gross |
+--------------+---------------+--------------+------------------+
| 2013 | 1 | 257 | 10 |
| 2013 | 2 | 140 | 20 |
| 2013 | 3 | 311 | 30 |
| 2013 | 4 | 279 | 40 |
+--------------+---------------+--------------+------------------+
Why doesn't it work with SUM? Any ideas how I could fix it?
Thanks,
Lassi
A subquery without variables will do it just as easily, and quite a bit more portably;
SELECT YEAR(`time`),
MONTH(`time`),
SUM(gross),
(SELECT SUM(gross)
FROM donations
WHERE `time`<=MAX(a.`time`)) cumulative_gross
FROM donations a GROUP BY YEAR(`time`), MONTH(`time`);
An SQLfiddle to test with.
Related
I need to INSERT or UPDATE data in a table using data from other tables; I understand the basic
insert into table (a,b,c)
select h, i, j
from otherTable
where........
My challenge comes from the fact that the data is spread across multiple tables and in one of the tables the data is metadata stored in rows, not columns. Therefore I need to use JOIN and possible UNION to get what is needed.
Unfortunately after trying everything I read in both the Maria manual, on the Maria forum and on Stack overflow I can not get it to work.
Here is what I am attempting to do:
insert data into dbc_jot_groupmembers in the following fields using source data as shown:
jot_grpid = dbc_bp_groups_members.group_id
jot_bbmemid = dbc_bp_groups_members.user_id
jot_grpmemname = dbc_bp_xprofile_data.value where field_id=3
jot_grpmemnum = dbc_bp_xprofile_data.value where field_id=4
I need the final result to look like this:
select * from dbc_jot_groupmembers;
+--------------+-----------+----------------+---------------+---------------------+-------------+
| jot_grpmemid | jot_grpid | jot_grpmemname | jot_grpmemnum | jot_grpmemts | jot_bbmemid |
+--------------+-----------+----------------+---------------+---------------------+-------------+
| 1 | 17 | hutchdad | +17047047045 | 2021-06-15 14:56:19 | 14 |
| 2 | 24 | hutchdad | +17047047045 | 2021-06-15 19:49:58 | 14 |
| 3 | 25 | hutchdad | +17047047045 | 2021-06-15 19:49:58 | 14 |
| 4 | 17 | hutchmom | +17773274355 | 2021-06-15 19:49:58 | 15 |
| 5 | 24 | hutchmom | +17773274355 | 2021-06-15 19:49:58 | 15 |
| 6 | 16 | ledwards | +14567655645 | 2021-06-15 19:49:58 | 11 |
| 7 | 16 | medwards | +12223334545 | 2021-06-15 19:49:58 | 10 |
| 7 | 20 | medwards | +12223334545 | 2021-06-15 19:49:58 | 10 |
SAMPLE DATA FROM SOURCE TABELS AND TABLE DEFINITIONS:
MariaDB [devDisciplePlaceCom]> describe dbc_bp_groups_members;
+---------------+--------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+---------------+--------------+------+-----+---------+----------------+
| id | bigint(20) | NO | PRI | NULL | auto_increment |
| group_id | bigint(20) | NO | MUL | NULL | |
| user_id | bigint(20) | NO | MUL | NULL | |
| inviter_id | bigint(20) | NO | MUL | NULL | |
| is_admin | tinyint(1) | NO | MUL | 0 | |
| is_mod | tinyint(1) | NO | MUL | 0 | |
| user_title | varchar(100) | NO | | NULL | |
| date_modified | datetime | NO | | NULL | |
| comments | longtext | NO | | NULL | |
| is_confirmed | tinyint(1) | NO | MUL | 0 | |
| is_banned | tinyint(1) | NO | | 0 | |
| invite_sent | tinyint(1) | NO | | 0 | |
+---------------+--------------+------+-----+---------+----------------+
12 rows in set (0.002 sec)
describe dbc_bp_xprofile_data;
+--------------+---------------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+--------------+---------------------+------+-----+---------+----------------+
| id | bigint(20) unsigned | NO | PRI | NULL | auto_increment |
| field_id | bigint(20) unsigned | NO | MUL | NULL | |
| user_id | bigint(20) unsigned | NO | MUL | NULL | |
| value | longtext | NO | | NULL | |
| last_updated | datetime | NO | | NULL | |
+--------------+---------------------+------+-----+---------+----------------+
5 rows in set (0.001 sec)
THIS IS THE LIST OF GROUPS AND WHAT USERS THEY ARE IN.
select group_id,user_id from dbc_bp_groups_members ;
+----------+---------+
| group_id | user_id |
+----------+---------+
| 16 | 13 |
| 16 | 12 |
| 16 | 11 |
| 16 | 10 |
| 17 | 14 |
| 17 | 15 |
| 17 | 16 |
| 17 | 17 |
| 17 | 18 |
| 17 | 19 |
| 20 | 10 |
| 24 | 14 |
| 24 | 16 |
| 24 | 15 |
| 24 | 17 |
| 24 | 19 |
| 25 | 19 |
| 25 | 14 |
| 1 | 14 |
| 11 | 14 |
+----------+---------+
20 rows in set (0.000 sec)
THIS IS THE TABLE CONTAINING THE USERS METADATA. IN MY CASE I NEED THE PHOEN NUMBER AND NAME WHICH ARE IN THE value FIELD WITH A field_id of 3 and 4.
select * from dbc_bp_xprofile_data where user_id > 9 and field_id > 2 AND field_id < 5;
+-----+----------+---------+---------------+---------------------+
| id | field_id | user_id | value | last_updated |
+-----+----------+---------+---------------+---------------------+
| 31 | 3 | 10 | medwards | 2021-06-24 03:11:59 |
| 34 | 3 | 11 | ledwards | 2021-06-24 03:11:24 |
| 37 | 3 | 12 | nedwards | 2021-04-24 14:47:18 |
| 40 | 3 | 13 | iedwards | 2021-04-24 14:47:52 |
| 43 | 3 | 14 | hutchdad | 2021-06-21 14:53:08 |
| 46 | 3 | 15 | hutchmom | 2021-06-24 03:10:58 |
| 49 | 3 | 16 | hutchdaughter | 2021-04-24 16:54:48 |
| 52 | 3 | 17 | hutchson1 | 2021-04-24 16:55:43 |
| 55 | 3 | 18 | hutchson2 | 2021-04-24 16:57:42 |
| 58 | 3 | 19 | hutchson3 | 2021-04-24 16:58:44 |
| 78 | 3 | 25 | demoadmin | 2021-06-08 02:01:39 |
| 158 | 4 | 14 | 7047047045 | 2021-06-21 14:53:08 |
| 190 | 3 | 58 | dupdup | 2021-06-23 19:46:19 |
| 191 | 4 | 15 | 7773274355 | 2021-06-24 03:10:58 |
| 193 | 4 | 11 | 4567655645 | 2021-06-24 03:11:24 |
| 195 | 4 | 10 | 2223334545 | 2021-06-24 03:11:59 |
+-----+----------+---------+---------------+---------------------+
16 rows in set (0.000 sec)
If this can not be done is a single INSERT then I can use an INSERT with subsequent UPDATE statements. I also understand that this is not best practice and violates 3nf and probably several other best practice principles. Unfortunately, I am at the mercy of the application and can not change the code, so the only way to get this to work is to put duplicate data in the database as described below:
It can be done with a single INSERT. However, there are some information need to be addressed as what I've posted in a the comment. In the meantime, here is an example query that you can use to do the operation that you want:
SELECT ROW_NUMBER() OVER (ORDER BY A.group_id, A.user_id) AS 'jot_grpmemid',
A.group_id AS 'jot_grpid',
MAX(CASE WHEN B.field_id=3 THEN B.value ELSE '' END) AS 'jot_grpmemname',
MAX(CASE WHEN B.field_id=4 THEN CONCAT('+',B.value) ELSE '' END) AS 'jot_grpmemnum',
A.user_id AS 'jot_bbmemid'
FROM
dbc_bp_groups_members A JOIN dbc_bp_xprofile_data B
ON A.user_id=B.user_id
GROUP BY A.group_id, A.user_id;
Like I said in the comment, I'm not sure how you get/generate jot_grpmemid because you have two 7 in the expected result so I assume it's a typo. I guess, at this point it's up to you to modify the query accordingly.
Demo fiddle
I'm extracting data from sql by the following SQL Query
SELECT DISTINCT
SEC_TO_TIME(SUM(TIME_TO_SEC(transics_bco.arab))) AS arab,
transics_bco.plate
FROM transics_bco
WHERE transics_bco.extdate BETWEEN '2019-12-01' AND '2019-12-31'
GROUP BY transics_bco.plate
This gives me the following result:
-----------------------
| ARAB | Plate |
-----------------------
| 178:44:43 | 1ABC123 |
| 156:23:44 | 1DEF456 |
-----------------------
Is it possible to get the result shown as this;
---------------------------------------------------------------
| Plate | December 19 | January 20 | February 20 | March 20 |
---------------------------------------------------------------
| 1ABC123 | 178:44:43 | 120:34:56 | ... | ... |
| 1DEF456 | 156:23:44 | 102:34:54 | ... | ... |
| 1GHI789 | 111:22:33 | 156:35:35 | ... | ... |
---------------------------------------------------------------
SQL Sample: transics_bco
----------------------------------------
| id | plate | arab | extdate |
----------------------------------------
| 1 | 1ABC123 | 00:14:23 | 2019-12-01 |
| 2 | 1ABC123 | 00:10:20 | 2019-12-03 |
| 3 | 1ABC123 | 00:45:06 | 2019-12-07 |
| 4 | 1ABC123 | 00:54:45 | 2020-01-02 |
| 5 | 1ABC123 | 00:26:10 | 2020-01-03 |
| 6 | 1ABC123 | 00:43:28 | 2020-01-04 |
----------------------------------------
Would greatly appreciate pointers in the good direction
Adding db describe as requested in the comments;
-
Adding describe of Transics_bco as requested in the comments
===================================================================================================================================================================================================================================================================================================================
| Field | Type | Null | Key | Default | Extra |
===================================================================================================================================================================================================================================================================================================================
| id | int(11) | NO | PRI | null | auto_increment |
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
| plate | varchar(255) | NO | | null | |
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
| arab | time | NO | | 00:00:00 | |
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
| extdate | date | NO | | null | |
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
SELECT
plate,
december19,
january20,
february20,
march20
FROM
(
SELECT DISTINCT
a.plate,
(
CASE
WHEN
Month(a.extdate) = 12
AND Year(a.extdate) = 2019
THEN
Sec_to_time(Sum(Time_to_sec(a.arab)))
END
)
AS 'December19',
(
CASE
WHEN
Month(a.extdate) = 1
AND Year(a.extdate) = 2020
THEN
a.arab
END
)
AS 'January20, (CASE WHEN MONTH(a.extDate)=2 AND YEAR(a.extDate)=2020 THEN SEC_TO_TIME(SUM(TIME_TO_SEC(a.arab))) END) AS 'february20', (CASE WHEN MONTH(a.extDate)=3 AND YEAR(a.extDate)=2020 THEN SEC_TO_TIME(SUM(TIME_TO_SEC(a.arab))) END) AS 'march20', FROM transics_bco a WHERE transics_bco.extdate BETWEEN '2019-12-01' AND '2019-12-31'
GROUP BY
transics_bco.plate
)
T
GROUP BY
T.plate;
I need to use a data visualization tool that can only query a single source for a given chart. I have three tables with the data I need to visualize. So, I need to combine them into a single view or output table. Here are the table schemas:
MySQL [bdCaloriesNeeded]> desc activity;
+---------------+----------+------+-----+---------+-------+
| Field | Type | Null | Key | Default | Extra |
+---------------+----------+------+-----+---------+-------+
| id | int(11) | YES | | NULL | |
| name | text | YES | | NULL | |
| Gender | text | YES | | NULL | |
| age | int(11) | YES | | NULL | |
| length | text | YES | | NULL | |
| weight | int(11) | YES | | NULL | |
| exercise | int(11) | YES | | NULL | |
| food_consumed | int(11) | YES | | NULL | |
| date | datetime | YES | | NULL | |
+---------------+----------+------+-----+---------+-------+
MySQL [bdCaloriesNeeded]> desc exercise;
+---------------------+---------+------+-----+---------+-------+
| Field | Type | Null | Key | Default | Extra |
+---------------------+---------+------+-----+---------+-------+
| Gender | text | YES | | NULL | |
| Min_Age | int(11) | YES | | NULL | |
| Max_Age | int(11) | YES | | NULL | |
| min_exercise_hours | int(11) | YES | | NULL | |
| med_exercise_hours | int(11) | YES | | NULL | |
| high_exercise_hours | int(11) | YES | | NULL | |
+---------------------+---------+------+-----+---------+-------+
MySQL [bdCaloriesNeeded]> desc food;
+---------------------+---------+------+-----+---------+-------+
| Field | Type | Null | Key | Default | Extra |
+---------------------+---------+------+-----+---------+-------+
| size | text | YES | | NULL | |
| min_pounds | int(11) | YES | | NULL | |
| max_pounds | int(11) | YES | | NULL | |
| min_food_oz_per_day | int(11) | YES | | NULL | |
| max_food_oz_per_day | int(11) | YES | | NULL | |
+---------------------+---------+------+-----+---------+-------+
Here's the actual source data in the above tables:
MySQL [bdCaloriesNeeded]> select * from activity;
+------+----------+--------+------+--------+--------+----------+---------------+---------------------+
| id | name | Gender | age | length | weight | exercise | food_consumed | date |
+------+----------+--------+------+--------+--------+----------+---------------+---------------------+
| 14 | spot | M | 2 | 2'7" | 13 | 5 | 13 | 2017-10-08 00:00:00 |
| 67 | princess | F | 6 | 3'3" | 75 | 3 | 15 | 2017-09-05 00:00:00 |
+------+----------+--------+------+--------+--------+----------+---------------+---------------------+
MySQL [bdCaloriesNeeded]> select * from exercise
+--------+---------+---------+--------------------+--------------------+---------------------+
| Gender | Min_Age | Max_Age | min_exercise_hours | med_exercise_hours | high_exercise_hours |
+--------+---------+---------+--------------------+--------------------+---------------------+
| M | 1 | 2 | 1 | 4 | 6 |
| M | 3 | 7 | 1 | 3 | 4 |
| M | 8 | 15 | 1 | 2 | 2 |
| F | 1 | 2 | 1 | 4 | 6 |
| F | 3 | 7 | 1 | 3 | 5 |
| F | 8 | 15 | 1 | 2 | 2 |
+--------+---------+---------+--------------------+--------------------+---------------------+
MySQL [bdCaloriesNeeded]> select * from food;
+--------+------------+------------+---------------------+---------------------+
| size | min_pounds | max_pounds | min_food_oz_per_day | max_food_oz_per_day |
+--------+------------+------------+---------------------+---------------------+
| small | 1 | 10 | 12 | 18 |
| medium | 11 | 30 | 15 | 30 |
| large | 31 | 100 | 25 | 50 |
+--------+------------+------------+---------------------+---------------------+
Here's the SQL I'm executing:
SELECT activity.id, activity.name, activity.Gender, activity.age, activity.weight, activity.exercise, activity.date, exercise.min_exercise_hours, exercise.high_exercise_hours, food.size, food.min_food_oz_per_day, food.max_food_oz_per_day
from activity, exercise, food
where (
activity.exercise between exercise.min_exercise_hours and exercise.high_exercise_hours
)
and
(
activity.weight between food.min_pounds and food.max_pounds
)
and
(
activity.Gender = exercise.Gender
)
Here's the undesired result I'm getting:
+------+----------+--------+------+--------+----------+---------------------+--------------------+---------------------+--------+---------------------+---------------------+
| id | name | Gender | age | weight | exercise | date | min_exercise_hours | high_exercise_hours | size | min_food_oz_per_day | max_food_oz_per_day |
+------+----------+--------+------+--------+----------+---------------------+--------------------+---------------------+--------+---------------------+---------------------+
| 14 | spot | M | 2 | 13 | 5 | 2017-10-08 00:00:00 | 1 | 6 | medium | 15 | 30 |
| 67 | princess | F | 6 | 75 | 3 | 2017-09-05 00:00:00 | 1 | 6 | large | 25 | 50 |
| 67 | princess | F | 6 | 75 | 3 | 2017-09-05 00:00:00 | 1 | 5 | large | 25 | 50 |
+------+----------+--------+------+--------+----------+---------------------+--------------------+---------------------+--------+---------------------+---------------------+
I'm getting two rows for Princess. I need one row for each dog. The desired result should use Princess's's weight to look up the correct range of food per day, and use her gender and age to look up the correct range of exercise.
I've been banging on this for hours, can't see what doing wrong here.
So interestingly your question says that the tables are Unrelated but they are actually related and this is the whole point of a relational database, to join data based on those relationships.
The issue is that your exercise table is only being joined on exercise hours using the between so princess matches rows 4 and 5 in the exercise table. (the first where clause matches rows 1 and 2 also but the later where clause limits the Gender)
It looks to me like you should also limit the match on the exercise table to age as well as exercise and gender
so add
and (activity.age between exercise.min_age and exercise.max_age)
Also personally i like to use JOIN clauses rather than WHERE - it keeps all the stuff together.
SELECT activity.id,
activity.name,
activity.Gender,
activity.age,
activity.weight,
activity.exercise,
activity.date,
exercise.min_exercise_hours,
exercise.high_exercise_hours,
food.size,
food.min_food_oz_per_day,
food.max_food_oz_per_day
FROM activity
JOIN exercise
ON activity.exercise BETWEEN exercise.min_exercise_hours AND exercise.high_exercise_hours
AND activity.Gender = exercise.Gender
AND activity.age BETWEEN exercise.min_age AND exercise.max_age
JOIN food
ON activity.weight BETWEEN food.min_pounds AND food.max_pounds
Since you are looking for things that may be OUTSIDE of the ranges suggested you may want to consider LEFT JOIN on the exercise and food tables, so that the dogs on the activity table that fall outside of any range will still show up (with NULL values for the missing data for the other table.)
just change the join lines to LEFT JOIN like so:
LEFT JOIN exercise
LEFT JOIN food
See also: What is the difference between "INNER JOIN" and "OUTER JOIN"?
I have a MySQL table that looks like this:
+-------------+---------+------+-----+---------+-------+
| Field | Type | Null | Key | Default | Extra |
+-------------+---------+------+-----+---------+-------+
| person_id | int(11) | NO | MUL | NULL | |
| location_id | int(11) | NO | MUL | NULL | |
| date_signed | date | NO | | NULL | |
| date_ended | date | YES | | NULL | |
+-------------+---------+------+-----+---------+-------+
Where all of the records are like this:
+-----------+-------------+-------------+------------+
| person_id | location_id | date_signed | date_ended |
+-----------+-------------+-------------+------------+
| 1 | 49 | 2007-09-29 | NULL |
| 1 | 41 | 2010-10-09 | NULL |
| 2 | 45 | 2007-09-29 | NULL |
| 2 | 58 | 2007-12-16 | NULL |
| 3 | 49 | 2007-09-29 | NULL |
| 4 | 45 | 2007-09-29 | NULL |
| 4 | 35 | 2013-10-04 | NULL |
| 5 | 45 | 2007-09-29 | NULL |
| 5 | 37 | 2009-01-09 | NULL |
| 5 | 32 | 2009-10-08 | NULL |
+-----------+-------------+-------------+------------+
I'm trying to update each person's date_ended to be one day less than the date_signed in the next chronological row for that person:
+-----------+-------------+-------------+------------+
| person_id | location_id | date_signed | date_ended |
+-----------+-------------+-------------+------------+
| 1 | 49 | 2007-09-29 | 2010-10-08 |
| 1 | 41 | 2010-10-09 | NULL |
| 2 | 45 | 2007-09-29 | 2007-12-15 |
| 2 | 58 | 2007-12-16 | NULL |
.
.
.
But I can't figure out how to select the next chronological record. I tried a few suggestions from similar questions:
UPDATE a column based on the value of another column in the same table
Mysql - update table column from another column based on order
ROW_NUMBER() in MySQL
But I couldn't get them to work. Is there a way to do this in MySQL?
SQL Fiddle: http://sqlfiddle.com/#!9/8b5219/1
I have a table view named as tes.
+--------------+--------------+------+-----+---------+-------+
| Field | Type | Null | Key | Default | Extra |
+--------------+--------------+------+-----+---------+-------+
| id_oba | int(11) | NO | | NULL | |
| nama_obat | varchar(120) | NO | | NULL | |
| satuan | varchar(20) | YES | | NULL | |
| stok_awal | int(5) | YES | | NULL | |
| persediaan | int(5) | YES | | NULL | |
| nama_suplier | varchar(30) | NO | | NULL | |
| pemakaian | int(4) | NO | | NULL | |
| tanggal | date | YES | | NULL | |
+--------------+--------------+------+-----+---------+-------+
When I execute:
select id_oba, nama_obat, satuan, stok_awal, sum(pemakaian) AS pemakaian, persediaan,
from tes group by id_oba;
I get this result:
+--------+-----------+--------+-----------+-----------+------------+
| id_oba | nama_obat | satuan | stok_awal | pemakaian | persediaan |
+--------+-----------+--------+-----------+-----------+------------+
| 1 | Paramex | Botol | 30 | 40 | 5 |
| 2 | Oskadon | Botol | 30 | 41 | 27 |
| 3 | Lindon | Botol | 31 | 30 | 4 |
+--------+-----------+--------+-----------+-----------+------------+
How can I modify my query to get the result like this?
+--------+-----------+--------+-----------+-----------+------------+-------+
| id_oba | nama_obat | satuan | stok_awal | pemakaian | persediaan | total |
+--------+-----------+--------+-----------+-----------+------------+-------+
| 1 | Paramex | Botol | 30 | 40 | 5 | 45 |
| 2 | Oskadon | Botol | 30 | 41 | 27 | 67 |
| 3 | Lindon | Botol | 31 | 30 | 4 | 34 |
+--------+-----------+--------+-----------+-----------+------------+-------+
Please help me with my problem.
Thanks.
Change like this
select id_oba, nama_obat, satuan, stok_awal, sum(pemakaian) AS pemakaian,
persediaan,(sum(pemakaian)+persediaan) as total from tes group by id_oba;