i have 4 tables, which has two fields in common
total_share and idea_user_id
i have a queru written to calculate total_income out of the SUM of total_share fro each table
here's my query
SELECT(
(SELECT SUM(total_share) FROM `idea_submitter_percentage` WHERE idea_user_id='3')
+
(SELECT SUM(total_share) FROM `idea_revisor_percentage` WHERE idea_user_id='3')
+
(SELECT SUM(total_share) FROM `idea_contributor_percentage` WHERE idea_user_id='3')
+
(SELECT SUM(total_share) FROM `idea_comparisor_percentage` WHERE idea_user_id='3')
)
AS total_income
the problem is that it works fine when i have atleast one row in each table where idea_user_id='3'
but if i have one table where no entries are present based on idea_user_id='3', then it returns me NULL, as such the total amount named total_income returns me NULL
how can i solve this problem
You could use coalesce() to deal with the nulls:
select coalesce(sum(...), 0) ...
Or you could move the sum in the outer query, and stick to union all in the subqueries:
select sum(...)
from ( select ... from ...
union all
select ... from ...
... ) as sub
...
You could also join all the tables (juergen's answer).
This type of syntax works in oracle... basically, you need an outer join.
SELECT NVL(SUM(total_share),0)
FROM `idea_comparisor_percentage`
WHERE idea_user_id (+) ='3'
Related
select count(*) as total FROM ( SELECT * FROM database1.orders WHERE number LIKE "11111111111111111" UNION ALL SELECT * FROM database2.orders WHERE number LIKE "11111111111111111" ) AS b
but i got error :
The used SELECT statements have a different number of columns
because run SELECT * FROM database2.orders WHERE number LIKE "11111111111111111" give me a result is null.
How to merge it with a query because with a query to help me process the pagination
Thank for helps !
Just do the aggregation before the union all:
select sum(cnt) as total
FROM ((SELECT count(*) as cnt
FROM database1.orders
WHERE number LIKE '11111111111111111'
)
UNION ALL
(SELECT count(*) as cnt
FROM database2.orders
WHERE number LIKE '11111111111111111'
)
) t;
Note I changed the string delimiter to be a single quote rather than a double quote. It is good practice to use single quotes for string and date constants (and nothing else).
By the way, you can also do this using a join:
select o1.cnt1, o2.cnt1, (o1.cnt1 + o2.cnt1) as total
FROM (SELECT count(*) as cnt1
FROM database1.orders
WHERE number LIKE '11111111111111111'
) o1 cross join
(SELECT count(*) as cnt2
FROM database2.orders
WHERE number LIKE '11111111111111111'
) o2;
This makes it easier to get the individual counts for the two databases.
The orders table in database1 probably has a different number of columns than the table by the same name in database2.
Instead of using select *, select the columns you're interested in, like select userid, productid, deliveryaddress, .... Make sure you specify the same columns in both parts of the union.
For a count(*), you could choose no columns at all, and select the value 1 for each row, like:
select count(*)
from (
select 1
from database1.orders
where number like '111'
union all
select 1
from database2.orders
where number like '111'
) as SubQueryAlias
Or you can add the result of two subqueries without a union:
select (
select count(*)
from database1.orders
where number like '111'
)
+
(
select count(*)
from database2.orders
where number like '111'
)
I have a simple MySQL statement:
SELECT q1, COUNT(q1) FROM results WHERE q1 IN ('1','2','3');
Currently there are only results for 1 and 3 - results are:
1 = 6
3 = 7
But what I need is for MySQL to bring back a result for 1,2 and 3 even though 2 has no data, as this:
1 = 6
2 = 0
3 = 7
Any ideas?
This is tricky because no rows match your value (2), they cannot be counted.
I would solve this by creating a temp table containing the list of values I want counts for:
CREATE TEMPORARY TABLE q ( q1 INT PRIMARY KEY );
INSERT INTO q (q1) VALUES (1), (2), (3);
Then do an OUTER JOIN to your results table:
SELECT q.q1, COALESCE(COUNT(*), 0) AS count
FROM q LEFT OUTER JOIN results USING (q1)
GROUP BY q.q1;
This way each value will be part of the final result set, even if it has no matching rows.
Re comment from #Mike Christensen:
MySQL doesn't support CTE's, in spite of it being requested as far back as 2006: http://bugs.mysql.com/bug.php?id=16244
You could do the same thing with a derived table:
SELECT q.q1, COALESCE(COUNT(*), 0) AS count
FROM (SELECT 1 AS q1 UNION ALL SELECT 2 UNION ALL SELECT 3) AS q
LEFT OUTER JOIN results USING (q1)
GROUP BY q.q1;
But this creates a temp table anyway.
A SQL query doesn't really have a way to refer to the values in your IN clause. I think you'd have to break this down into one query for each value. Something like:
SELECT 1 as q1, COUNT(1) FROM results WHERE q1 = '1'
UNION ALL
SELECT 2 as q1, COUNT(1) FROM results WHERE q1 = '2'
UNION ALL
SELECT 3 as q1, COUNT(1) FROM results WHERE q1 = '3'
Fiddle
Note: If there are a lot of values in your IN clause, you might be better off to write your code in a way where missing values are assumed to have zero.
In general, you cannot query something that does not exists. So, you must create data for it. Use union to add those missing data values.
select q1, COUNT(*)
from results
where q1 in ('1','2','3')
group by q1
union
select q1, 0
from (
select '1' as q1
union
select '2'
union
select '3'
) as q
where q1 not in (
select q1
from results
)
Lets say I have a MySQL table that has the following entries:
1
2
3
2
5
6
7
6
6
8
When I do an "SELECT * ..." I get back all the entries. But I want to get back only these entries, that exist only once within the table. Means the rows with the values 2 (exists two times) and 6 (exists three times) have to be dropped completely out of my result.
I found a keyword DISTINCT but as far as I understood it only avoids entries are shown twice, it does not filters them completely.
I think it can be done somehow with COUNT, but all I tried was not really successful. So what is the correct SQL statement here?
Edit: to clarify that, the result I want to get back is
1
3
5
7
8
You can use COUNT() in combination with a GROUP BY and a HAVING clause like this:
SELECT yourCol
FROM yourTable
GROUP BY yourCol
HAVING COUNT(*) < 2
Example fiddle.
You want to mix GROUP BY and COUNT().
Assuming the column is called 'id' and the table is called 'table', the following statement will work:
SELECT * FROM `table` GROUP BY id HAVING COUNT(id) = 1
This will filter out duplicate results entirely (e.g. it'll take out your 2's and 6's)
Three ways. One with GROUP BY and HAVING:
SELECT columnX
FROM tableX
GROUP BY columnX
HAVING COUNT(*) = 1 ;
one with a correlated NOT EXISTS subquery:
SELECT columnX
FROM tableX AS t
WHERE NOT EXISTS
( SELECT *
FROM tableX AS t2
WHERE t2.columnX = t.columnX
AND t2.pk <> t.pk -- pk is the primary key of the table
) ;
and an improvement on the first way (if you have a primary key pk column and an index on (columnX, pk):
SELECT columnX
FROM tableX
GROUP BY columnX
HAVING MIN(pk) = MAX(pk) ;
select id from foo group by id having count(*) < 2;
I had a problem in database. I have to insert duplicate records of a particular record on a another table based on a value.
First i used cursor to fetch each records and get the number of duplication i wants and after that used another cursor for duplication. Everything worked fine. But if the records in more than 500, i went dead slow. Then i did some research and found a way to insert without cursor.
INSERT INTO report(id, Name)
SELECT i.id,i.Name FROM (SELECT 1 AS id
UNION SELECT 2
UNION SELECT 3
UNION SELECT 4
UNION SELECT 5
UNION SELECT 6
UNION SELECT 7
UNION SELECT 8
UNION SELECT 9
UNION SELECT 10) AS o
INNER JOIN table i WHERE o.id<=i.frequence;
where frequence is the number of duplication. Please drop your idea to improve your query.
You could try creating a table with a record for each value from 1 to 10 and then join to that. I'm not sure it would be any faster though. You would have to experiment with it.
In this example the table with the values from 1 to 10 is called "dup" and the field containing these values is called "id".
INSERT INTO report(id, Name)
SELECT i.id, i.Name
FROM table i
JOIN dup d
ON d.id <= i.frequence;
If you have any table that contains a row number that goes at least as high as the maximum frequence, you could to this:
INSERT INTO report(id, Name)
SELECT i.id,i.Name FROM table i
inner join (
select distinct some_row_number_column from some_table
) o on o.some_row_number_column <= i.frequence;
This is basically the same as what you were doing, but it avoids the messy union all statements.
Or you could make a cursor that inserts numbers from 1 to the maximum frequence into a temporary table, then use that in your join. Or you could use a row numbering variable to generate the necessary sequence. Basically, do anything that will generate a list of consecutive numbers from 1 to the maximum that you need.
I would normally use recursion for this (DB2 syntax):
INSERT INTO report(id, Name)
with num_list (num) as (
values (1)
union all
select num + 1 from num_list
where num < (select max(frequence) from table)
)
SELECT i.id,i.Name FROM table i
inner join num_list on num_list.num <= i.frequence;
However, MySQL doesn't support recursion, apparently.
I have the following query:
SELECT SUM(COUNTED) AS TCOUNTED
FROM (SELECT COUNTED FROM `clicks`.`t1`
UNION ALL
SELECT COUNTED FROM `clicks`.`t2`
UNION ALL
SELECT COUNTED FROM `clicks`.`t3`
) AS TMP
Where and how do I add a time constraint? I want it to count only between certain dates... Sorry for the MySQL noobness.
Thanks!
SELECT SUM(COUNTED) AS TCOUNTED
FROM (SELECT COUNTED FROM `clicks`.`t1` WHERE somedatecol BETWEEN somedate AND somedate
UNION ALL
SELECT COUNTED FROM `clicks`.`t2` WHERE somedatecol BETWEEN somedate AND somedate
UNION ALL
SELECT COUNTED FROM `clicks`.`t3` WHERE somedatecol BETWEEN somedate AND somedate
) AS TMP`
http://dev.mysql.com/doc/refman/5.0/en/select.html
I would think your best bet is to include the where clause inside each sub-select before the UNION statements.
SELECT SUM(COUNTED) AS TCOUNTED FROM
(SELECT COUNTED FROM clicks.t1 WHERE <fieldname> BETWEEN '<date1>' AND '<date2>'
UNION ALL
SELECT COUNTED FROM clicks.t2 WHERE <fieldname> BETWEEN '<date1>' AND '<date2>'
UNION ALL
SELECT COUNTED FROM clicks.t3 WHERE <fieldname> BETWEEN '<date1>' AND '<date2>')
AS TMP;
Of course it as all relative to what you are trying to accomplish with the query.