I have table transaction from mysql query like this.
____________________________________________________________
| id | noskom | nonpbm | noskop | npbp |
|____|_____________|____________|_____________|_____________|
| 1 | 001 | 10 | 20 | 20 |
| 2 | 001 | 20 | 10 | 20 |
| 3 | 002 | 5 | 10 | 20 |
| 4 | 003 | 30 | 5 | 20 |
|____|_____________|____________|_____________|_____________|
and i want result
select sum(nonpbm),sum(noskop),sum(npbp) from transaction group by noskom
____________________________________________________________
| id | noskom | nonpbm | noskop | npbp |
|____|_____________|____________|_____________|_____________|
| 1 | 001 | 30 | 30 | 40 |
| 2 | | | | |
| 3 | 002 | 5 | 10 | 20 |
| 4 | 003 | 30 | 5 | 20 |
|____|_____________|____________|_____________|_____________|
what is mysql query
SELECT
noskom ,
SUM(nonpbm) as nonpbm ,
sum(noskop) as noskop ,
sum(npbp) as npbp
FROM mytable
GROUP BY noskom
If you want to list the IDs of all the rows that contributed to the aggregated values, you can also add this column:
GROUP_CONCAT(id ORDER BY id) AS id
This will give you a comma-separated list of IDs. You can specify a different separator, like EOL:
GROUP_CONCAT(id ORDER BY id SEPARATOR '\r\n') AS id
'\r\n' is the standard line separator in the Windows world. Change to just '\n' or '\r' if you are on a different platform.
select transaction.id,t.noskom,t.sum_nonpbm,t.sum_noskop,t.sum_npbp
from transaction
left join
(
select noskom, min(id) min_id,
sum(nonpbm) sum_nonpbm,
sum(noskop) sum_noskop,
sum(npbp) sum_npbp
from transaction
group by noskom
) t on (transaction.id=t.min_id)
order by transaction.id
Try this query ::
select tbl2.id,tbl1.noskom,tbl1.sum1,tbl1.sum2,tbl1.sum3 from
(select id,noskom,sum(nonpbm) sum1,sum(noskop) sum2,sum(npbp) sum3 from tbl group by noskom) tbl1
right join
(select id,null a,null b,null c,null d
from tbl) tbl2
on tbl1.id = tbl2.id
order by 1 ;
Related
Let's say, in given num_table, there is a column, in which only numbers from 1 to 35 are stored.
Code for count nums in last 25rows is:
select num, count(*)
from (select C_1 as num from num_table order by id desc limit 25) n
group by num
order by num asc;
Result:
| num | count(*) |
|------|----------|
| 2 | 1 |
| 3 | 1 |
| 4 | 1 |
| 5 | 2 |
| 10 | 1 |
| 11 | 1 |
| 12 | 1 |
| 15 | 1 |
| 16 | 2 |
| 17 | 1 |
| 20 | 1 |
| 21 | 1 |
| 22 | 1 |
| 23 | 1 |
| 25 | 1 |
| 28 | 2 |
| 29 | 2 |
| 30 | 1 |
| 32 | 2 |
|------|----------|
How to get a result, where nums from 1 to 35 - which occured 0 times within last 25 rows - will be also displayed?
Example of desired result:
| num | count(*) |
|------|----------|
| 1 | 0 |
| 2 | 1 |
| 3 | 1 |
| 4 | 1 |
| 5 | 2 |
| 6 | 0 |
| 7 | 0 |
| 8 | 0 |
| 9 | 0 |
| 10 | 1 |
| ... | ... |
| 35 | 0 |
Maybe the quickest way is to make your existing query as sub-query and LEFT JOIN your num_table with it like :
SELECT A.C_1, IFNULL(cnt,0) total_count
FROM num_table A
LEFT JOIN
(SELECT num, COUNT(*) cnt
FROM (SELECT C_1 AS num FROM num_table ORDER BY id DESC LIMIT 25) n
GROUP BY num) B
ON A.C_1=B.num
GROUP BY A.C_1, cnt
ORDER BY A.C_1 ASC;
Here's a fiddle for reference:
https://dbfiddle.uk/?rdbms=mysql_5.7&fiddle=3ced94d698fd8a55a8ad07a9d3b42f3d
And by the way, the current result you're showing is only 24 rows despite you did LIMIT 25 in the first sub-query. So in my example fiddle, the result is slightly different.
Here is another way to solve your problem.
In this solution, first, you need a table with numbers between 1 and 35, but only for the query, so then you can left join (because with a left join you can have also 0 counter values) it with your existent num_table.
You can do it like this:
WITH RECURSIVE numbers(id) AS (
SELECT 1 as id
UNION ALL
SELECT id+1 FROM numbers WHERE id < 35
)
SELECT numbers.id AS num, count(nt.id) AS total
FROM numbers
LEFT JOIN (SELECT C_1 FROM num_table ORDER BY id DESC LIMIT 25) nt ON (nt.C_1 = numbers.id)
GROUP BY numbers.id
I am trying to select all but the last row of grouped data from a table.
+----+--------+--------+ +----+--------+--------+
| id | userID | amount | | id | userID | amount |
+----+--------+--------+ +----+--------+--------+
| 1 | 20 | 400 | | 1 | 20 | 400 |
| 2 | 20 | 200 | | 2 | 20 | 200 |
| 3 | 21 | 100 | => | 3 | 21 | 100 |
| 4 | 11 | 500 | | 4 | 11 | 500 |
| 5 | 11 | 250 | | 6 | 21 | 50 |
| 6 | 21 | 50 |
| 7 | 20 | 100 |
| 8 | 21 | 200 |
+----+--------+--------+
I have tried to use the query
SELECT *
FROM table
WHERE userID != (SELECT MAX(userID) FROM table)
GROUP
BY userID
but it only fetches one unique row of data even though there are more left
You have not aggreagtion function so you don't need group by
SELECT *
FROM table
WHERE userID != (
SELECT MAX(userID) FROM table
)
This can happen with mysql version <5.7 for mysql version > 5.7 (by default setting) this use of group by raise an error
E.g....
SELECT a.*
FROM my_table a
LEFT
JOIN
( SELECT MAX(id) id
FROM my_table
GROUP
BY userid
) b
ON b.id = a.id
WHERE b.id IS NULL
So, let say I have this data
id | value | group
1 | 100 | A
2 | 120 | A
3 | 150 | B
4 | 170 | B
I want to sort it so it become like this
id | value | group
1 | 100 | A
3 | 150 | B
2 | 120 | A
4 | 170 | B
there will be more group than that, so if I the data ordered the group like (A,C,B,D,B,C,A), it will become (A,B,C,D,A,B,C)
You can add a counter column to the table, which will be used to sort the table:
select t.id, t.value, t.`group`
from (
select t.id, t.value, t.`group`,
(select count(*) from tablename
where `group` = t.`group` and id < t.id) counter
from tablename t
) t
order by t.counter, t.`group`
See the demo.
Results:
| id | value | group |
| --- | ----- | ----- |
| 1 | 100 | A |
| 3 | 150 | B |
| 2 | 120 | A |
| 4 | 170 | B |
You can approach this as
SELECT *
FROM `tablename`
ORDER BY
row_number() OVER (PARTITION BY `group` ORDER BY `group`), `group`
my table has duplicate row values in specific columns. i would like to remove those rows and keep the row with the latest id.
the columns i want to check and compare are:
sub_id, spec_id, ex_time
so, for this table
+----+--------+---------+---------+-------+
| id | sub_id | spec_id | ex_time | count |
+----+--------+---------+---------+-------+
| 1 | 100 | 444 | 09:29 | 2 |
| 2 | 101 | 555 | 10:01 | 10 |
| 3 | 100 | 444 | 09:29 | 23 |
| 4 | 200 | 321 | 05:15 | 5 |
| 5 | 100 | 444 | 09:29 | 8 |
| 6 | 101 | 555 | 10:01 | 1 |
+----+--------+---------+---------+-------+
i would like to get this result
+----+--------+---------+---------+-------+
| id | sub_id | spec_id | ex_time | count |
+----+--------+---------+---------+-------+
| 5 | 100 | 444 | 09:29 | 8 |
| 6 | 101 | 555 | 10:01 | 1 |
+----+--------+---------+---------+-------+
i was able to build this query to select all duplicate rows from multiple columns, according to this question
select t.*
from mytable t join
(select id, sub_id, spec_id, ex_time, count(*) as NumDuplicates
from mytable
group by sub_id, spec_id, ex_time
having NumDuplicates > 1
) tsum
on t.sub_id = tsum.sub_id and t.spec_id = tsum.spec_id and t.ex_time = tsum.ex_time
but now im not sure how to wrap this select with a delete query to delete the rows except for the ones with highest id.
as shown here
You can modify your sub-select query, to get maximum value of id for each duplication combination.
Now, while joining to the main table, simply put a condition that id value will not be equal to the maximum id value.
You can now Delete from this result-set.
Try the following:
DELETE t
FROM mytable AS t
JOIN
(SELECT MAX(id) as max_id,
sub_id,
spec_id,
ex_time,
COUNT(*) as NumDuplicates
FROM mytable
GROUP BY sub_id, spec_id, ex_time
HAVING NumDuplicates > 1
) AS tsum
ON t.sub_id = tsum.sub_id AND
t.spec_id = tsum.spec_id AND
t.ex_time = tsum.ex_time AND
t.id <> tsum.max_id
I have table with a bunch of (machine id) mid's and (sensor id) sid's, and their corresponding (values) v's. Needless to say the id column is a unique row number. (NB: There are other columns in the table, and not all mid's have the same sid's)
Current Table:
+------+-------+-------+-----+---------------------+
| id | mid | sid | v | timestamp |
+------+-------+-------+-----+---------------------+
| 51 | 10 | 1 | 40 | 2015/5/1 11:56:01 |
| 52 | 10 | 2 | 39 | 2015/5/1 11:56:25 |
| 53 | 10 | 2 | 40 | 2015/5/1 11:56:42 |
| 54 | 11 | 1 | 50 | 2015/5/1 11:57:52 |
| 55 | 11 | 2 | 18 | 2015/5/1 11:58:41 |
| 56 | 11 | 2 | 19 | 2015/5/1 11:58:59 |
| 57 | 11 | 3 | 58 | 2015/5/1 11:59:01 |
| 58 | 11 | 3 | 65 | 2015/5/1 11:59:29 |
+------+-------+-------+-----+---------------------+
Q: How would I get the MAX(v)for each sid for each mid?
Expected Output:
+------+-------+-------+-----+---------------------+
| id | mid | sid | v | timestamp |
+------+-------+-------+-----+---------------------+
| 51 | 10 | 1 | 40 | 2015/5/1 11:56:01 |
| 53 | 10 | 2 | 40 | 2015/5/1 11:56:42 |
| 54 | 11 | 1 | 50 | 2015/5/1 11:57:52 |
| 56 | 11 | 2 | 19 | 2015/5/1 11:58:59 |
| 58 | 11 | 3 | 65 | 2015/5/1 11:59:29 |
+------+-------+-------+-----+---------------------+
The expected output is to obtain the whole row with all the (single) max value for all the sids in all the mids.
Addendum:
Due to a very big table, I need to place boundaries with dates. For the sample above the two boundary dates should be 2015/05/01 00:00:00 (1st of May'15) till 2015/05/02 00:00:00 (2nd of May'15). Q: How could I add this date boundary?
Find the max v in subquery for each combination of mid, sid and then join it with your original table to get the desired result.
select *
from your_table t
join (
select mid, sid, max(v) as v
from your_table
group by mid, sid
) t2 using (mid, sid, v);
Note here that if there are multiple rows with same sid, mid and v, it will return all of them.
As mentioned in the comments, since you have an id column, you can include that in limited correlated query like this:
select *
from your_table t1
where id = (select id
from your_table t2
where t1.mid = t2.mid
and t1.sid = t2.sid
order by v desc, id desc
limit 1
);
This will give you one single row per mid, sid combination with max v (and latest id in case of ties).
Use MAX() function with GROUP BY clause
SELECT id, mid, sid, MAX(v) AS v, `timestamp`
FROM MyTable
GROUP BY mid, sid;
This returns rows with maximum values of v for each combination of mid and sid.