This is output
but i want
in this table tb_user_connection i get 4 row but i want only 3 so, if i get connection in 1 and 2 so not get repeated column.
i try below query and this is codeigniter project.
my query:
SELECT * FROM `tb_user_connection` WHERE `connection_type` = 'a' AND (user_id = '1' OR connection_id='1')
You can do this:
select *
from your_table
where user_id <= connection_id
union all
select *
from your_table t
where user_id > connection_id
and not exists (
select 1
from your_table t1
where t1.user_id = t.connection_id
and t1.connection_id = t.user_id
) t1;
Related
I'm trying to fetch the data from user table such that every row contains date value(not null). If value is null then it should be view that column with a date of id of above date which have same id.
Without updating the table rows, only with select statement?
Here is the table
NAME, DATE, ID
A, 2021-01-21, 1
B, null, 1
C, null, 1
D, 2021-01-18, 2
D, null, 2
It should be viewed like
A, 2021-01-21, 1
B, 2021-01-21, 1
C, 2021-01-21, 1
D, 2021-01-18, 2
D, 2021-01-18, 2
Now the query I think is =>
select t1.name, t2.date ,t1.id from user t1
left join (select id ,date from user where id=1) t2
on t1.id=t2.id;
But this query doesn't work like I thought.
Can anyone please tell me how above join query works ? And how can I improve it ? So that I got the required result.
For testing of above query use this queries =>
create table user(
name varchar(20),
date date,
id integer
);
insert into user values("A",'2021-01-21',1);
insert into user values("",null,1);
insert into user values("",null,1);
insert into user values("",null,1);
insert into user values("",null,1);
insert into user values("",null,1);
insert into user values("B",'2021-01-20',2);
select t1.name, t2.date ,t1.id from user t1
left join (select id ,date from user where id=1) t2
on t1.id=t2.id;
The first problem is that you are joining a table with itself on the condition t1.id = t2.id. So if you have 4 rows with id=1 and 3 rows with id=2 just as an example, you will end up with a result that had 4 * 4 + 3 * 3 = 25 rows. In your specific case you will end up with 6 * 6 + 1 * 1 = 37 rows.
The second problem is that you have hard-code selecting id=1 in your subquery:
(select id ,date from user where id=1) t2
This can't be the appropriate value for all possible rows.
You could try the obvious:
select
t1.name,
ifnull(t1.date, (select t2.date from user t2 where t2.date is not null and t2.id = t1.id limit 1)) as date,
t1.id
from user t1
;
see db-fiddle
name
id
date
A
1
2021-01-21
1
2021-01-21
1
2021-01-21
1
2021-01-21
1
2021-01-21
1
2021-01-21
B
2
2021-01-20
But better would be to use a join:
select u.name, ifnull(u.date, sq.date) as date, u.id
from user u join (
select id, min(date) as date from user group by id
) sq on u.id = sq.id
;
see db-fiddle
I would expect the second version using a join to be more efficient because the first version has a dependent subquery that has to get executed for every row that has a null date.
You don't need a join. Just use a window function:
select name,
max(date) over (partition by id) as date,
id
from users;
Note that your sample data doesn't match the data in the question. That data suggests:
select max(name) over (partition by id) as name,
max(date) over (partition by id) as date,
id
from user;
Here is a db<>fiddle.
my DB has this structure:
ID | text | time | valid
This is my current code. I'm trying to find a way to do this as one query.
rows = select * from table where ID=x order by time desc;
n=0;
foreach rows{
if(n > 3){
update table set valid = -1 where rows[n];
}
n++
}
I'm checking how many rows exist for a given ID. Then I need to set valid=-1 for all rows where n >3;
Is there a way to do this with one query?
You can use a subquery in the WHERE clause, like this:
UPDATE table
SET valid=-1
WHERE (
SELECT COUNT(*)
FROM table tt
WHERE tt.time > table.time
AND tt.ID = table.ID
) > 3
The subquery counts the rows with the same ID and a later time. This count will be three or less for the three latest rows; the remaining ones would have a greater count, so their valid field would be updated.
Assuming that (id,time) has a UNIQUE constraint, i.e. no two rows have the same id and same time:
UPDATE
tableX AS tu
JOIN
( SELECT time
FROM tableX
WHERE id = #X -- the given ID
ORDER BY time DESC
LIMIT 1 OFFSET 2
) AS t3
ON tu.id = #X -- given ID again
AND tu.time < t3.time
SET
tu.valid = -1 ;
update table
set valid = -1
where id in (select id
from table
where id = GIVEN_ID
group by id
having count(1) >3)
Update: I really like dasblinkenlight's solution because is very neat, but I wanted to try also to do it in my way, a quite verbose one:
update Table1
set valid = -1
where (id, time) in (select id,
time
from (select id,time
from table1
where id in (select id
from table1
group by id
having count(1) >3)
-- and id = GIVEN_ID
order by time
limit 3, 10000000)
t);
Also in SQLFiddle
to do it for all ids, or only for one if you set a where in the a subquery
UPDATE TABLE
LEFT JOIN (
SELECT *
FROM (
SELECT #rn:=if(#prv=id, #rn+1, 1) AS rId,
#prv:=id AS id,
TABLE.*
FROM TABLE
JOIN ( SELECT #prv:=0, #rn:=0 ) tmp
ORDER BY id, TIMESTAMP
) a
WHERE rid > 3
) ordered ON ordered.id = TABLE.id
AND ordered.TIMESTAMP = TABLE.TIMESTAMP
AND ordered.text = TIMESTAMP.text
SET VALID = -1
WHERE rid IS NOT NULL
Let's say I have two columns: id and date.
I want to give it an id and it'll find all the duplicates of the value date of the column id.
Example:
id |date
1 |2013-09-16
2 |2013-09-16
3 |2013-09-23
4 |2013-09-23
I want to give it id 1 (without giving anything about date) and it'll give me a table of 2 columns listing the duplicates of id 1's date
Thanks in advance!
select * from your_table
where `date` in
(
select `date`
from your_table
where id = 1
)
or if you like to use a join
select t.*
from your_table t
inner join
(
select `date`
from your_table
where id = 1
) x on x.date = t.date
Sample table:
id------user_id------grade_id------time_stamp
1---------100----------1001---------2013-08-29 15:07:38
2---------101----------1002---------2013-08-29 16:07:38
3---------100----------1001---------2013-08-29 17:07:38
4---------102----------1003---------2013-08-29 18:07:38
5---------103----------1004---------2013-08-29 19:07:38
6---------105----------1002---------2013-08-29 20:07:38
6---------100----------1002---------2013-08-29 21:07:38
I want to select rows whose user_id = 100 group by grade_id only if its time_stamp is least for that particular grade_id.
so, from the above table, it should be:
row 1 because its time_stamp is least for that value of grade_id(1001)
but not row 2 because I only want 1 row for a particular grade_id
also not row 6 because that particular grade_id has least value for user_id 105.
I tried few things, which are too basic and obviously not worth posting.
Thank You
You could try nested queries:
SELECT grade_id, COUNT(grade_id) FROM SAMPLE_TABLE ST WHERE time_stamp = (SELECT MIN(time_stamp) FROM SAMPLE_TABLE STT WHERE STT.grade_id = ST.grade_id) AND user_id = 100 GROUP BY grade_id;
In this case, the nested query will give you the minimun timestamp for each specific 'grade_id' and you can use it in your WHERE filter.
SELECT t.*
FROM tableX AS t
JOIN
( SELECT grade_id, MIN(time_stamp) AS time_stamp
FROM tableX
GROUP BY grade_id
) AS g
ON g.grade_id = t.grade_id
AND g.time_stamp = t.time_stamp
WHERE t.user_id = 100 ;
I have a table with the following columns:
Categorie
Rubriek
Adv_nr
For each rubriek it is possible that there are 100 or more adv_nr's.
I want to select max 5 rows from each rubriek, is this possible in one query?
select * from table as t1
where (select count(*) from table as t2
where t1.rubriek = t2.rubriek and t2.adv_nr > t1.adv_nr) < 5
order by rubriek,adv_nr desc
select * from *ad_table*
where category_id IN (
select *category_table*.id
from *category_table*, *group_table*
where *category_table*.id = *group_table*.category_id)
LIMIT 5;