delete from mysql with condtion - mysql

how can I delete rows from this table in mysql database that after the delete I should have 4 distinct values in the column valeurs .
the actual state of my database :
+----+-----------+---------+---------------------+
| id | action_id | valeurs | temps_action |
+----+-----------+---------+---------------------+
| 81 | 1 | ON_1 | 2016-04-26 11:14:43 |
| 80 | 2 | OFF_2 | 2016-04-26 11:14:41 |
| 84 | 2 | OFF_2 | 2016-04-26 11:14:48 |
| 83 | 1 | ON_1 | 2016-04-26 11:14:46 |
| 79 | 1 | OFF_1 | 2016-04-26 11:14:40 |
| 78 | 2 | ON_2 | 2016-04-26 11:14:38 |
| 77 | 1 | ON_1 | 2016-04-26 11:14:35 |
| 82 | 2 | OFF_2 | 2016-04-26 11:14:45 |
+----+-----------+---------+---------------------+
I want to end up with :
+----+-----------+---------+---------------------+
| id | action_id | valeurs | temps_action |
+----+-----------+---------+---------------------+
| 81 | 1 | ON_1 | 2016-04-26 11:14:43 |
| 80 | 2 | OFF_2 | 2016-04-26 11:14:41 |
| 79 | 1 | OFF_1 | 2016-04-26 11:14:40 |
| 78 | 2 | ON_2 | 2016-04-26 11:14:38 |
+----+-----------+---------+---------------------+

such query saves the rows with max temps_action for each action_id, valeurs
delete
from my_table
where (action_id, temps_action, valeurs) not in
(select * from (select action_id, max(temps_action), valeurs
from my_table
group by action_id, valeurs) t1);

You can use this way
delete from my_table as t
where (t.id, t.valeurs) not in ( select max(t2.id), t2.valeurs
from my_table as t2
group by valeurs);

What you're really trying to do is to remove duplicate rows. Here's an example query that could help you with that:
DELETE FROM TableName
WHERE valeurs IN (SELECT *
FROM (SELECT valeurs FROM TableName
GROUP BY valeurs
HAVING (COUNT(*) > 1) AS Something
)
);

Related

MySQL - How to fetch all records from two tables with the pagination?

We have two tables credit_points and debit_points having user_id is reference. Our concern is we want to fetch all the records in a single query order by created_date DESC with limit and offset. Please find the table list and Output table.
credit_points
+----+----------+--------------+---------------------+
| id | user_id | credit_value | created_date |
+----+----------+--------------+---------------------+
| 1 | 111 | 13 | 2020-01-08 10:20:26 |
| 2 | 111 | 11 | 2020-01-09 11:20:23 |
| 3 | 111 | 7 | 2020-01-09 13:25:12 |
| 4 | 111 | 20 | 2020-01-13 12:25:17 |
+----+----------+--------------+---------------------+
debit_points
+----+----------+--------------+---------------------+
| id | user_id | debit_value | created_date |
+----+----------+--------------+---------------------+
| 1 | 111 | 13 | 2020-01-09 10:20:25 |
| 2 | 111 | 11 | 2020-01-11 11:18:54 |
| 3 | 111 | 15 | 2020-01-14 13:50:24 |
| 4 | 111 | 5 | 2020-01-14 15:23:12 |
+----+----------+------------+-----------------------+
Output should be:
+----------+--------------+---+------------------------------+
| user_id | credit_value | debit_value | created_date |
+----------+--------------+-------------+--------------------+
| 111 | NULL | 5 |2020-01-14 15:23:12 |
| 111 | NULL | 15 |2020-01-14 13:50:24 |
| 111 | 20 | NULL |2020-01-13 12:25:17 |
| 111 | NULL | 11 |2020-01-11 11:18:54 |
| 111 | 7 | NULL |2020-01-09 13:25:12 |
| 111 | 11 | NULL |2020-01-09 11:20:23 |
| 111 | NULL | 13 |2020-01-09 10:20:25 |
| 111 | 13 | NULL |2020-01-08 10:20:26 |
+----------+--------------+-------------+-----+--------------+
Query1:
SELECT
c.user_id, c.credit_value, d.debit_value, d.created_date
FROM credit_points c
RIGHT JOIN debit_points d ON(c.user_id=d.user_id)
WHERE c.user_id=111
ORDER BY c.created_date,d.created_date DESC
limit 20;
I know the above query is completely wrong. Please help me to fetch it in the right way.
Query2:
SELECT user_id,credit_value, created_date
FROM credit_points where user_id=111
UNION ALL
SELECT user_id,debit_value,created_date
FROM debit_points where user_id=111 ORDER BY created_date DESC
The above query(Query2) is working fine but we are unable to fetch the debit_value column. Both credit_value and debit_value is coming in one column.
You can combine the data from both tables into a derived table by using UNION and then execute a SELECT over it with needed offset:
SELECT * FROM
(
SELECT user_id, credit_value, NULL AS debit_value, created_date FROM muvi_credit_points
UNION ALL
SELECT user_id, NULL AS credit_value, debit_value, created_date FROM muvi_debit_points
) t
WHERE user_id = 111
ORDER BY created_date DESC
LIMIT 0, 20
Of course, the filtering by user_id could be done into internal SELECT statements if needed.

How can I get the last row from each given row value in a column through date? [duplicate]

This question already has answers here:
Retrieving the last record in each group - MySQL
(33 answers)
Closed 4 years ago.
I have the following table.
+--------------------+--------------+-------+
Date | SymbolNumber | Value
+--------------------+--------------+-------+
2018-08-31 15:00:00 | 123 | data
2018-09-31 15:00:00 | 456 | data
2018-09-31 15:00:00 | 123 | data
2018-09-31 15:00:00 | 555 | data
2018-10-31 15:00:00 | 555 | data
2018-10-31 15:00:00 | 231 | data
2018-10-31 15:00:00 | 123 | data
2018-11-31 15:00:00 | 123 | data
2018-11-31 15:00:00 | 555 | data
2018-12-31 15:00:00 | 123 | data
2018-12-31 15:00:00 | 555 | data
I need a query that can select the last row of each SymbolNumber stated in the query.
SELECT
*
FROM
MyTable
WHERE
symbolNumber IN (123, 555)
AND
**lastOfRow ordered by latest-date**
Expected results:
2018-12-31 15:00:00 | 123 | data
2018-12-31 15:00:00 | 555 | data
How can I do this?
First, you will need a query that get the latest date for each symbolNumber. Second, you can inner join to this table (using date) for get the rest of the columns. Like this:
SELECT
t.*
FROM
<table_name> AS t
INNER JOIN
(SELECT
symbolNumber,
MAX(date) AS maxDate
FROM
<table_name>
GROUP BY
symbolNumber) AS latest_date ON latest_date.symbolNumber = t.symbolNumber AND latest_date.maxDate = t.date
The previous query will get latest data for each existing symbolNumber on the table. If you want to restrict to symbolNumbers: 123 and 555, you will need to made next modification:
SELECT
t.*
FROM
<table_name> AS t
INNER JOIN
(SELECT
symbolNumber,
MAX(date) AS maxDate
FROM
<table_name>
WHERE
symbolNumber IN (123, 555)
GROUP BY
symbolNumber) AS latest_date ON latest_date.symbolNumber = t.symbolNumber AND latest_date.maxDate = t.date
We can do a "self-left-join" on symbolNumber, and match to other rows in the same group with higher Date value on the right side.
We will eventually consider only those rows, where higher date could not be found (meaning the current row belongs to highest date in the group).
Here is a solution avoiding subquery, and utilizing Left Join:
SELECT t1.*
FROM MyTable AS t1
LEFT JOIN MyTable AS t2
ON t2.symbolNumber = t1.symbolNumber AND
t2.Date > t1.Date -- Joining to a row in same group with higher date
WHERE t1.symbolNumber IN (123, 555) AND
t2.symbolNumber IS NULL -- Higher date not found; so this is highest row
EDIT:
Benchmarking studies comparing Left Join method v/s Derived Table (Subquery)
#Strawberry ran a little benchmark test in 5.6.21. Here's what he found...
DROP TABLE IF EXISTS my_table;
CREATE TABLE my_table
(id SERIAL PRIMARY KEY
,dense_user INT NOT NULL
,sparse_user INT NOT NULL
);
INSERT INTO my_table (dense_user,sparse_user)
SELECT RAND()*100,RAND()*100000;
INSERT INTO my_table (dense_user,sparse_user)
SELECT RAND()*100,RAND()*100000 FROM my_table;
-- REPEAT THIS LINE A FEW TIMES !!!
SELECT COUNT(DISTINCT dense_user) dense
, COUNT(DISTINCT sparse_user) sparse
, COUNT(*) total
FROM my_table;
+-------+--------+---------+
| dense | sparse | total |
+-------+--------+---------+
| 101 | 99999 | 1048576 |
+-------+--------+---------+
ALTER TABLE my_table ADD INDEX(dense_user);
ALTER TABLE my_table ADD INDEX(sparse_user);
--dense_test
SELECT x.*
FROM my_table x
LEFT
JOIN my_table y
ON y.dense_user = x.dense_user
AND y.id < x.id
WHERE y.id IS NULL
ORDER
BY dense_user
LIMIT 10;
+------+------------+-------------+
| id | dense_user | sparse_user |
+------+------------+-------------+
| 1212 | 0 | 1950 |
| 153 | 1 | 23193 |
| 255 | 2 | 27472 |
| 28 | 3 | 86440 |
| 18 | 4 | 47886 |
| 291 | 5 | 76563 |
| 15 | 6 | 85049 |
| 16 | 7 | 78384 |
| 135 | 8 | 52304 |
| 62 | 9 | 40930 |
+------+------------+-------------+
10 rows in set (2.64 sec)
SELECT x.*
FROM my_table x
JOIN
( SELECT dense_user, MIN(id) id FROM my_table GROUP BY dense_user ) y
ON y.dense_user = x.dense_user
AND y.id = x.id
ORDER
BY dense_user
LIMIT 10;
+------+------------+-------------+
| id | dense_user | sparse_user |
+------+------------+-------------+
| 1212 | 0 | 1950 |
| 153 | 1 | 23193 |
| 255 | 2 | 27472 |
| 28 | 3 | 86440 |
| 18 | 4 | 47886 |
| 291 | 5 | 76563 |
| 15 | 6 | 85049 |
| 16 | 7 | 78384 |
| 135 | 8 | 52304 |
| 62 | 9 | 40930 |
+------+------------+-------------+
10 rows in set (0.05 sec)
Uncorrelated query is 50 times faster.
--sparse test
SELECT x.*
FROM my_table x
LEFT
JOIN my_table y
ON y.sparse_user = x.sparse_user
AND y.id < x.id
WHERE y.id IS NULL
ORDER
BY sparse_user
LIMIT 10;
+--------+------------+-------------+
| id | dense_user | sparse_user |
+--------+------------+-------------+
| 165055 | 75 | 0 |
| 37598 | 63 | 1 |
| 170596 | 70 | 2 |
| 46142 | 87 | 3 |
| 33546 | 21 | 4 |
| 323114 | 87 | 5 |
| 86592 | 96 | 6 |
| 156711 | 36 | 7 |
| 17148 | 62 | 8 |
| 139965 | 71 | 9 |
+--------+------------+-------------+
10 rows in set (0.03 sec)
SELECT x.*
FROM my_table x
JOIN ( SELECT sparse_user, MIN(id) id FROM my_table GROUP BY sparse_user ) y
ON y.sparse_user = x.sparse_user
AND y.id = x.id
ORDER
BY sparse_user
LIMIT 10;
+--------+------------+-------------+
| id | dense_user | sparse_user |
+--------+------------+-------------+
| 165055 | 75 | 0 |
| 37598 | 63 | 1 |
| 170596 | 70 | 2 |
| 46142 | 87 | 3 |
| 33546 | 21 | 4 |
| 323114 | 87 | 5 |
| 86592 | 96 | 6 |
| 156711 | 36 | 7 |
| 17148 | 62 | 8 |
| 139965 | 71 | 9 |
+--------+------------+-------------+
10 rows in set (4.73 sec)
Exclusion Join is 150 times faster
However, as you move further up the result set, the picture begins to change very dramatically...
SELECT x.*
FROM my_table x
JOIN ( SELECT sparse_user, MIN(id) id FROM my_table GROUP BY sparse_user ) y
ON y.sparse_user = x.sparse_user
AND y.id = x.id
ORDER
BY sparse_user
LIMIT 10000,10;
+--------+------------+-------------+
| id | dense_user | sparse_user |
+--------+------------+-------------+
| 9810 | 93 | 10000 |
| 162438 | 4 | 10001 |
| 467371 | 62 | 10002 |
| 8258 | 13 | 10003 |
| 297049 | 17 | 10004 |
| 68354 | 23 | 10005 |
| 192701 | 64 | 10006 |
| 176225 | 92 | 10007 |
| 156595 | 37 | 10008 |
| 318266 | 1 | 10009 |
+--------+------------+-------------+
10 rows in set (9.17 sec)
SELECT x.*
FROM my_table x
LEFT
JOIN my_table y
ON y.sparse_user = x.sparse_user
AND y.id < x.id
WHERE y.id IS NULL
ORDER
BY sparse_user
LIMIT 10000,10;
+--------+------------+-------------+
| id | dense_user | sparse_user |
+--------+------------+-------------+
| 9810 | 93 | 10000 |
| 162438 | 4 | 10001 |
| 467371 | 62 | 10002 |
| 8258 | 13 | 10003 |
| 297049 | 17 | 10004 |
| 68354 | 23 | 10005 |
| 192701 | 64 | 10006 |
| 176225 | 92 | 10007 |
| 156595 | 37 | 10008 |
| 318266 | 1 | 10009 |
+--------+------------+-------------+
10 rows in set (32.19 sec) -- !!!
In summary, the exclusion join (the so-called 'strawberry query' can be (significantly) faster in certain, limited situations. More generally, an uncorrelated query will be faster.

Subtract two columns of different tables with different number of rows

How can I write a single query that will give me SUM(Entrance.quantity) - SUM(Buying.quantity) group by product_id.
The problem is in rows that not exist in the first or second table. Is possible to do this?
Entrance:
+---+--------------+---------+
| id | product_id | quantity|
+---+--------------+---------+
| 1 | 234 | 15 |
| 2 | 234 | 35 |
| 3 | 237 | 12 |
| 4 | 237 | 18 |
| 5 | 101 | 10 |
| 6 | 150 | 12 |
+---+--------------+---------+
Buying:
+---+------------+-------------+
| id | product_id | quantity|
+---+------------+-------------+
| 1 | 234 | 10 |
| 2 | 234 | 20 |
| 3 | 237 | 10 |
| 4 | 237 | 10 |
| 5 | 120 | 15 |
+---+------------+------------+
Desired result:
+--------------+-----------------------+
| product_id | quantity_balance |
+--------------+-----------------------+
| 234 | 20 |
| 237 | 10 |
| 101 | 10 |
| 150 | 12 |
| 120 | -15 |
+--------------+-----------------------+
This is tricky, because products could be in one table but not the other. One method uses union all and group by:
select product_id, sum(quantity)
from ((select e.product_id, quantity
from entrance e
) union all
(select b.product_id, - b.quantity
from buying b
)
) eb
group by product_id;
SELECT product_id ,
( Tmp1.enterquantity - Tmp2.buyquantity ) AS Quantity_balance
FROM entrance e1
CROSS APPLY ( SELECT SUM(quantity) AS enterquantity
FROM Entrance e2
WHERE e1.product_id = e2.product_id
) Tmp1
CROSS APPLY ( SELECT SUM(quantity) AS buyquantity
FROM Buying b2
WHERE e1.product_id = b2.product_id
) Tmp2
GROUP BY Product_id,( Tmp1.enterquantity - Tmp2.buyquantity )

MySQL Join Query without duplicate values

invoice table
SELECT id, fname, gtotal, `date` FROM invoice WHERE id = 1;
| id | fname | gtotal | date |
|----|---------|--------|-----------------------|
| 1 | Brandon | 860 | May, 11 2016 00:00:00 |
invoice_contents table,
SELECT * FROM invoice_contents WHERE invoice_id = 1;
| id | invoice_id | item | price | quantity | discount | total |
|----|------------|------------|-------|----------|----------|-------|
| 1 | 1 | Dextrose | 10 | 10 | 5 | 95 |
| 2 | 1 | Nescaine | 20 | 30 | 10 | 540 |
| 3 | 1 | Anticavity | 30 | 10 | 25 | 225 |
This JOIN query
SELECT invoice.id, invoice.fname, invoice_contents.item,
invoice_contents.price, invoice_contents.quantit,
invoice_contents.discount, invoice_contents.total,
invoice.gtotal
FROM invoice_contents
INNER JOIN invoice ON invoice_contents.invoice_id=1 AND invoice.id=1;
gives this result.
| id | fname | item | price | quantity | discount | total | gtotal |
|----|---------|------------|-------|----------|----------|-------|--------|
| 1 | Brandon | Dextrose | 10 | 10 | 5 | 95 | 860 |
| 1 | Brandon | Nescaine | 20 | 30 | 10 | 540 | 860 |
| 1 | Brandon | Anticavity | 30 | 10 | 25 | 225 | 860 |
I need this result.
| id | fname | item | price | quantity | discount | total | gtotal |
|----|---------|------------|-------|----------|----------|-------|--------|
| 1 | Brandon | Dextrose | 10 | 10 | 5 | 95 | 860 |
| | | Nescaine | 20 | 30 | 10 | 540 | |
| | | Anticavity | 30 | 10 | 25 | 225 | |
I am just a beginner in MySQL. I have been trying from this morning to get this kind of output by experimenting on different combinations please help me out.
#Rex, Your select is correct. You should make desired output using some script e.g. PHP.
try this in SQL:
in this Query i save everytime fname in a variable is not equal and at the next row i compare it and return a empty string is it equal. and the same for gtotal.
the cross join is only to initialize the variables.
in this case it is important that the rows are order by fname to ensure that the same name is behind each other
SELECT
invoice.id,
IF(#last_fname = invoice.fname, '', (#last_fname:=invoice.fname)) as fname,
invoice_contents.item,
invoice_contents.price,
invoice_contents.quantity,
invoice_contents.discount,
IF(#last_gtotal = invoice.gtotal, '', (#last_gtotal:=invoice.gtotal)) as gtotal
FROM invoice_contents
INNER JOIN invoice ON invoice_contents.invoice_id=1 AND invoice.id=1
CROSS JOIN ( select #last_fname := '' , #last_gtotal := '' ) AS parameter
ORDER BY invoice.fname;
Sample
MariaDB [bb]> SELECT
-> invoice.id,
-> IF(#last_fname = invoice.fname, '', (#last_fname:=invoice.fname)) AS fname,
-> invoice_contents.item,
-> invoice_contents.price,
-> invoice_contents.quantity,
-> invoice_contents.discount,
-> IF(#last_gtotal = invoice.gtotal, '', (#last_gtotal:=invoice.gtotal)) AS gtotal
-> FROM invoice_contents
-> INNER JOIN invoice ON invoice_contents.invoice_id=1 AND invoice.id=1
-> CROSS JOIN ( SELECT #last_fname:='' , #last_gtotal:='' ) AS parameter
-> ORDER BY invoice.fname;
+----+---------+------------+-------+----------+----------+--------+
| id | fname | item | price | quantity | discount | gtotal |
+----+---------+------------+-------+----------+----------+--------+
| 1 | Brandon | Dextrose | 10.00 | 10 | 5.00 | 860.00 |
| 1 | | Nescaine | 20.00 | 30 | 10.00 | |
| 1 | | Anticavity | 30.00 | 10 | 25.00 | |
+----+---------+------------+-------+----------+----------+--------+
3 rows in set, 1 warning (0.00 sec)
MariaDB [bb]>

mysql: comparing two columns

my tables and their layout:
mysql> select * FROM xt_shipping_zones;
+---------+-------------+---------------------------------------------------------------------------+
| zone_id | zone_name | zone_countries |
+---------+-------------+---------------------------------------------------------------------------+
| 5 | ZONE1 | AT,BE,BG,DK,FI,FR,GR,IE,IT,LV,LT,LU,MC,NL,PL,PT,RO,SM,SE,SK,SI,ES,HU,GB |
| 6 | Deutschland | DE |
| 8 | ZONE2Brutto | AD,NO,VA |
| 9 | ZONE2NETTO | CH,LI |
+---------+-------------+---------------------------------------------------------------------------+
mysql> select * FROM xt_shipping_cost WHERE shipping_geo_zone = 99995 LIMIT 5;
+------------------+-------------+-------------------+-----------------------+--------------------------+------------------------+----------------+------------------+
| shipping_cost_id | shipping_id | shipping_geo_zone | shipping_country_code | shipping_type_value_from | shipping_type_value_to | shipping_price | shipping_allowed |
+------------------+-------------+-------------------+-----------------------+--------------------------+------------------------+----------------+------------------+
| 269 | 34 | 99995 | | 0.31 | 17.99 | 17.0000 | 1 |
| 270 | 34 | 99995 | | 17.99 | 35.99 | 34.0000 | 1 |
| 271 | 34 | 99995 | | 35.99 | 53.99 | 51.0000 | 1 |
| 272 | 34 | 99995 | | 53.99 | 71.99 | 68.0000 | 1 |
| 273 | 34 | 99995 | | 71.99 | 89.99 | 85.0000 | 1 |
+------------------+-------------+-------------------+-----------------------+--------------------------+------------------------+----------------+------------------+
mysql> SELECT * FROM geoip WHERE 92569600 BETWEEN start AND end;
+----------+----------+---------+-----+
| start | end | country | id |
+----------+----------+---------+-----+
| 92569600 | 92585983 | AT | 895 |
+----------+----------+---------+-----+
My Query:
SELECT
xt_shipping_cost.shipping_type_value_from,
xt_shipping_cost.shipping_type_value_to,
xt_shipping_cost.shipping_price,
geoip.country
FROM xt_shipping_cost
INNER JOIN xt_shipping_zones
ON xt_shipping_cost.shipping_geo_zone = xt_shipping_zones.zone_id + 99990
INNER JOIN geoip
ON geoip.country REGEXP xt_shipping_zones.zone_countries
WHERE 34664448 BETWEEN geoip.start AND geoip.end
My Problem:
Query is working if there is only ONE entry in xt_shipping_zones.zone_countries like DE. If there are multiple (with comma seperated entries) i cant get a match on that row.
Doing it manually:
mysql> SELECT * FROM `xt_shipping_zones` WHERE `zone_countries` REGEXP 'AT';
+---------+-----------+---------------------------------------------------------------------------+
| zone_id | zone_name | zone_countries |
+---------+-----------+---------------------------------------------------------------------------+
| 5 | ZONE1 | AT,BE,BG,DK,FI,FR,GR,IE,IT,LV,LT,LU,MC,NL,PL,PT,RO,SM,SE,SK,SI,ES,HU,GB |
+---------+-----------+---------------------------------------------------------------------------+
SQLFiddle: http://sqlfiddle.com/#!9/68f8d0/1
I hope i didn't failed to much to make my problem clear.
Thank you
I think you can use find_in_set()
SELECT
xt_shipping_cost.shipping_type_value_from,
xt_shipping_cost.shipping_type_value_to,
xt_shipping_cost.shipping_price,
geoip.country
FROM xt_shipping_cost
INNER JOIN xt_shipping_zones
ON xt_shipping_cost.shipping_geo_zone = xt_shipping_zones.zone_id + 99990
INNER JOIN geoip
ON find_in_set(geoip.country, xt_shipping_zones.zone_countries)
WHERE 34664448 BETWEEN geoip.start AND geoip.end
It is no good idea to store the values as csv. That is very bad database design.