I would like to delete my MySQL selection.
Here is my MySQL selection request:
SELECT *
FROM Items
WHERE id_user=1
ORDER
BY id_user
LIMIT 2,1
With this working request, I select the third item on my table which has as id_user: 1.
Now, I would like to delete the item that has been selected by my request.
I am looking for a same meaning request which would look like this :
DELETE FROM Items (
SELECT * FROM Items WHERE id_user=1 ORDER BY id_user LIMIT 2,1
)
The first thing to note is that there is an issue with your query. You are filtering on a unique value of id_user and sorting on the same column. As all records in the resultset will have the same id_user, the actual order of the resultset is undefined, and we cannot reliably tell which record comes third.
Assuming that you have another column to disanbiguate the resultset (ie some value that is unique amongst each group of records having the same id_user), say id, here is a solution to your question, that uses a self-join with ROW_NUMBER() to locate the third record in each group.
DELETE i
FROM items i
INNER JOIN (
SELECT
id,
id_user,
ROW_NUMBER() OVER(PARTITION BY id_user ORDER BY id) rn
FROM items
) c ON c.id = i.id AND c.id_user = i.id_user AND c.rn = 3
WHERE i.id_user=1 ;
Demo on DB Fiddle
You didn't provide the definition of your table. I guess it has a primary key column called id.
In that case you can use this
CREATE TEMPORARY TABLE doomed_ids
SELECT id FROM Items WHERE id_user = 1 ORDER BY id_user LIMIT 2,1;
DELETE FROM Items
WHERE id IN ( SELECT id FROM doomed_ids);
DROP TABLE doomed_ids;
It's a pain in the neck, but it works around the limitation of MySQL and MariaDB disallowing LIMITs in ... IN (SELECT ...) clauses.
You can use the select query to create a derived table and join it back to your main table to determine which record(s) to delete. Derived tables can use the limit clause.
Assuming that the PK is called id, the query would look as follows:
delete i from items i
inner join (SELECT id FROM Items
WHERE id_user=1
ORDER BY id_user LIMIT 2,1) i2 on i.id=i2.id
You need to substitute your PK in place of id. If you have a multi-column PK, then you need to select all the PK fields in the derived table and join on all of them.
Related
I often have a situation with two tables in MySQL where I need one record for each foreign key. For example:
table post {id, ...}
table comment {id, post_id, ...}
SELECT * FROM comment GROUP BY post_id ORDER BY id ASC
-- Oldest comment for each post
or
table client {id, ...}
table payment {id, client_id, ...}
SELECT * FROM payment GROUP BY client_id ORDER BY id DESC
-- Most recent payment from each client
These queries often fail because the "SELECT list is not in GROUP BY clause" and contains nonaggregated columns.
Failed Solutions
I can usually work around this with a min()/max() but that creates a very slow query with mis-matched results (row with min(id) isn't equal to row with min(textfield))
SELECT min(id), min(textfield), ... FROM table GROUP BY fk_id
Adding all the columns to GROUP BY results in duplicate records (from the fk_id) which defeats the purpose of GROUP BY.
SELECT id, textfield, ... FROM table GROUP BY fk_id, id, textfield
Same idea as #GurV but using a join instead of a correlated subquery. The basic idea here is that the subquery finds, for each post which has comments, the oldest post and its corresponding id in the comments table. We then join back to comments again to restrict to the records we want.
SELECT t1.*
FROM comments t1
INNER JOIN
(
SELECT post_id, MIN(id) AS min_id
FROM comments
GROUP BY post_id
) t2
ON t1.post_id = t2.post_id AND
t1.id = t2.min_id
You can use a correlated query with aggregation to find out the earliest comment for each post:
select *
from comments c1
where id = (
select min(id)
from comments c2
where c1.post_id = c2.post_id
)
Compound index - comments(id, post_id) should be helpful.
If you are querying the whole table with many rows, then it will. This query is more useful and performant if you are querying for a small subset of posts. If you are querying the whole table, then #Tim's answer is better suited I think.
I have a MySQL table where I have a certain id as a foreign key coming from another table. This id is not unique to this table so I can have many records holding the same id.
I need to find out which ids are seen the least amount of times in this table and pull up a list containing them.
For example, if I have 5 records with id=1, 3 records with id=2 and 3 records with id=3, I want to pull up only ids 2 & 3. However, the data in the table changes quite often so I don't know what that minimum value is going to be at any given moment. The task is quite trivial if I use two queries but I'm trying to do it with just one. Here's what I have:
SELECT id
FROM table
GROUP BY id
HAVING COUNT(*) = MIN(SELECT COUNT(*) FROM table GROUP BY id)
If I substitute COUNT(*) = 3, then the results come up but using the query above gives me an error that MIN is not used properly. Any tips?
I would try with:
SELECT id
FROM table
GROUP BY id
HAVING COUNT(*) = (SELECT COUNT(*) FROM table GROUP BY id ORDER BY COUNT(*) LIMIT 1);
This gets the minimum selecting the first row from the set of counts in ascendent order.
You need a double select in the having clause:
SELECT id
FROM table
GROUP BY id
HAVING COUNT(*) = (SELECT MIN(cnt) FROM (SELECT COUNT(*) as cnt FROM table GROUP BY id) t);
The MIN() aggregate function is suposed to take a column, not a query. So, I see two ways to solve this:
To properly write the subquery, or
To use temp variables
First alternative:
select id
from yourTable
group by id
having count(id) = (
select min(c) from (
select count(*) as c from yourTable group by id
) as a
)
Second alternative:
set #minCount = (
select min(c) from (
select count(*) as c from yourTable group by id
) as a
);
select id
from yourTable
group by id
having count(*) = #minCount;
You need to GROUP BY to produce a set of grouped values and additional select to get the MIN value from that group, only then you can match it against having
SELECT * FROM table GROUP BY id
HAVING COUNT(*) =
(SELECT MIN(X.CNT) AS M FROM(SELECT COUNT(*) CNT FROM table GROUP BY id) AS X)
I have a simple table USERS:
id | name
----+------
Can you help me with the query that would fetch all rows from the table and:
a) Place 10 rows with highest PK values on top, in id DESC order;
b) Place all remaining rows ordered by name ASC order.
Thank you!
This is a bit of a tricky question. The approach I would take is a join approach. Identify the primary keys for the first group using a join (this is happily fast because you are working with primary keys). Then use the match to that table for the order by:
select t.*
from table t left outer join
(select id
from table t
order by id desc
limit 10
) t10
on t.id = t10.id
order by t10.id desc,
t.name asc;
First question would be: do you really need this in one single query? I'm really not seeing the use case for such a query to be honest.
It'd be easier to just fetch the 10 biggest ids (storing somewhere the 10th biggest), and then fetch the rest in ascending name order (with a restriction on ids being smaller than the 10th biggest).
Otherwise in a single query, something like this would work, but it doesn't seem very efficient to me (maybe someone will have a better idea).
(
SELECT
id, name
from
USERS
ORDER BY id DESC LIMIT 0,10
)
UNION
(
SELECT
id, name
from
USERS
WHERE
id NOT IN (
SELECT id, name from USERS ORDER BY id DESC LIMIT 0,10
)
ORDER BY name ASC
)
(or maybe with a NOT EXISTS - the inner query will be different - instead of the NOT IN)
I am using query like
select * from audittable where a_id IN (1,2,3,4,5,6,7,8);
For each ID its returning 5-6 records. I wanted to get the last but one record for each ID.
Can i do this in one sql statement.
Try this query
SELECT
*
FROM
(SELECT
#rn:=if(#prv=a_id, #rn+1, 1) as rId,
#prv:=a_id as a_id,
---Remaining columns
FROM
audittable
JOIN
(SELECT #rn:=0, #prv:=0) t
WHERE
a_id IN (1,2,3,4,5,6,7,8)
ORDER BY
a_id, <column> desc)tmp --Replace column with the column with which you will determine it is the last record
WHERE
rId=1;
If your database is having DateCreated or any column in which you are saving the DateTime as well like when your data is inserted for a particular row then you may use query like
select at1.* from audittable at1 where
datecreated in( select max(datecreated) from audittable at2
where
at1.id = at2.id
order by datecreated desc
);
You may also use LIMIT function as well.
Hope you understand and works for you.
In SQLite, you have the columns a_id and b. For each a_id you get a set of b's. Let you want
to get the latest/highest (maximum in terms of row_id, date or another naturally increasing index) one of b's
SELECT MAX(b), *
FROM audittable
GROUP BY a_id
Here MAX help to get the maximum b from each group.
Bad news that MySQL doesn't associate MAX b with other *-columns of the table. But it still can be used in case of simple table with a_id and b columns!
I have collected informations from different sources about certain IDs that should match a single name. Some sources are more trustworthy than others in giving the correct name for a given ID.
I created a table (name, id, source_trustworthiness) and I want to get the most trustworthy name for each ID.
I tried
SELECT name, id, MAX( source_trustworthiness )
FROM table
GROUP BY id
this returns th highest trustworthiness available for each ID but with the first name it finds, regarless of its trustworthiness.
Is there a way I can get that right ?
Mysql has special functionality to help:
SELECT * FROM (
SELECT name, id, source_trustworthiness
FROM table
ORDER BY 3 DESC ) x
GROUP BY id
Although this wouldn't even execute in other databases (not naming all non-aggregate columns in the GROUP BY clause), with mysql it returns the first row encountered for each unique value of the grouped by columns. By ordering the rows greatest first, the first row for each id will be the most trustworthy.
Since this question is tagged mysql, this query is OK. Not only is it really simple, it's also quite fast.
SELECT a.*
FROM TableName a
INNER JOIN
(
SELECT id, MAX(source_trustworthiness) max_val
FROM TableName
GROUP BY ID
) b ON a.ID = b.ID AND
a.source_trustworthiness = b.max_val