Extending Rolling up addition using mysql
I can get rolling sum of rows https://stackoverflow.com/users/1529673/strawberry's answer for basic stuff so i tried to extend query by joining multiple tables but 1_keyworddefs.name='K2' is not affected. Getting same answer for 1_keyworddefs.name='K1' and K2.
Working query but directly by specifying 1_bugs.bug_id='2':
SELECT x.*, x.cf1 + x.cf2 sub_total, sum(y.cf1 + y.cf2) total FROM 1_bugs x INNER JOIN 1_bugs y ON y.bug_id <= x.bug_id INNER JOIN 1_keywords ON 1_keywords.bug_id = y.bug_id WHERE (x.bug_date BETWEEN '2016-07-19' AND '2016-07-22') AND (x.bug_id='2') AND (y.bug_status = 'VERIFIED' OR y.bug_status = 'CLOSED') AND (1_keywords.bug_id = x.bug_id) GROUP BY x.bug_id
Exact output (but i want to join table where 1_keywords.bug_id=1_bugs.bug_id matches instead of directly specifying 1_bugs.bug_id='2'):
bug_id bug_date cf1 cf2 bug_status sub_total total
2 2016-07-19 2 1 VERIFIED 3 3
Non-working query by joining tables (expecting answer like above):
SELECT x.*, x.cf1 + x.cf2 sub_total, sum(y.cf1 + y.cf2) total FROM 1_bugs x INNER JOIN 1_bugs y ON y.bug_id <= x.bug_id LEFT JOIN 1_keywords ON 1_keywords.bug_id = y.bug_id LEFT JOIN 1_keyworddefs ON 1_keyworddefs.id=1_keywords.keywordid AND 1_keyworddefs.name='K2' and 1_keywords.bug_id = y.bug_id WHERE (x.bug_date BETWEEN '2016-07-19' AND '2016-07-22') AND (y.bug_status = 'CLOSED' OR y.bug_status = 'VERIFIED') GROUP BY x.bug_id;
Expected:
bug_id bug_date cf1 cf2 bug_status sub_total total
2 2016-07-19 2 1 VERIFIED 3 3
Actual:
bug_id bug_date cf1 cf2 bug_status sub_total total
2 2016-07-19 2 1 VERIFIED 3 3
3 2016-07-22 2 2 CLOSED 4 7
** Here bug_id -> 3 row comes wrongly because 1_bugs.bug.id=1_keywords.bug_id doesn't match and there is no 1_keywords.bug_id='3' present in 1_keywords table.
DDLs:
-- 1_bugs table1 (master table) :
CREATE TABLE `1_bugs` (`bug_id` int(11) NOT NULL, `bug_date` date NOT NULL, `cf1` int(11) NOT NULL, `cf2` int(11) NOT NULL, `bug_status` varchar(200) NOT NULL) ENGINE=InnoDB DEFAULT CHARSET=latin1;
INSERT INTO `1_bugs` (`bug_id`, `bug_date`, `cf1`, `cf2`, `bug_status`) VALUES (1, '2016-07-19', 3, 2, 'RESOLVED'), (2, '2016-07-19', 2, 1, VERIFIED'), (3, '2016-07-22', 2, 2, 'CLOSED');
-- 1_keywords table2 (having keyword ids):
CREATE TABLE `1_keywords` (`bug_id` int(11) NOT NULL, `keywordid` varchar(11) NOT NULL) ENGINE=InnoDB DEFAULT CHARSET=latin1;
INSERT INTO `1_keywords` (`bug_id`, `keywordid`) VALUES (1, 'K1'), (2, 'K2');
-- 1_keyworddefs table3 (having keyword names according to keywordid):
CREATE TABLE `1_keyworddefs` (`id` int(11) NOT NULL, `name` varchar(200) NOT NULL, `description` varchar(200) NOT NULL) ENGINE=InnoDB DEFAULT CHARSET=latin1;
INSERT INTO `1_keyworddefs` (`id`, `name`, `description`) VALUES (1, 'K1', 'My K1 item'), (2, 'K2', 'My K2 item');
Can someone please point me what i'm doing wrong?
Obviously things where not clear... after long discussions turns out what you wanted was to extract from bugzilla database a list of bugs for specific keyword grouped by date and a sum of cf1 + cf2 and the same sum of only 'opened' and 'verified' bugs.
Here we go
SELECT
b.lastdiffed,
d.name,
d.description,
SUM(IF(b.bug_status IN('CLOSED', 'VERIFIED'), b.cf1 + b.cf2, 0)) AS sub_total,
SUM(b.cf1 + b.cf2) AS running
FROM
bugs AS b
JOIN keywords AS k
ON ( k.bug_id = b.bug_id )
JOIN keyworddefs AS d
ON ( d.id = k.keywordid )
WHERE
1
AND d.name = 'SONY'
GROUP BY (b.lastdiffed)
ORDER BY b.lastdiffed ASC
Giving this result
+------------+------+-------------+-----------+---------+
| lastdiffed | name | description | sub_total | running |
+------------+------+-------------+-----------+---------+
| 2016-05-20 | SONY | sony items | 7 | 7 |
| 2016-06-20 | SONY | sony items | 11 | 17 |
| 2016-06-27 | SONY | sony items | 5 | 5 |
| 2016-06-29 | SONY | sony items | 5 | 5 |
+------------+------+-------------+-----------+---------+
Hope this helps.
Related
We are developing a ticket system and for the dashboard we want to show the tickets with it's latest status. We have two tables. The first one for the ticket itself and a second table for the individual edits.
The system is running already, but the performance for the dashboard is very bad (6 seconds for ~1300 tickets). At first we used a statemant which selected 'where timestamp = (select max(Timestamp))' for every ticket. In the second step we created a view which only includes the latest timestamp for every ticket, but we are not able to also include the correct status into this view.
So the main Problem might be, that we can't build a table in which for every ticket the lastest ins_date and also the latest status is selected.
Simplyfied database looks like:
CREATE TABLE `ticket` (
`id` int(10) NOT NULL,
`betreff` varchar(100) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
CREATE TABLE `ticket_relation` (
`id` int(11) NOT NULL,
`ticket` int(10) NOT NULL,
`info` varchar(10000) DEFAULT NULL,
`status` int(1) NOT NULL DEFAULT '0',
`ins_date` timestamp NULL DEFAULT CURRENT_TIMESTAMP,
`ins_user` int(11) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
INSERT INTO `ticket` (`id`, `betreff`) VALUES
(1, 'Technische Frage'),
(2, 'Ticket 2'),
(3, 'Weitere Fragen');
INSERT INTO `ticket_relation` (`id`, `ticket`, `info`, `status`, `ins_date`, `ins_user`) VALUES
(1, 1, 'Betreff 1', 0, '2019-05-28 11:02:18', 123),
(2, 1, 'Betreff 2', 3, '2019-05-28 12:07:36', 123),
(3, 2, 'Betreff 3', 0, '2019-05-29 06:49:32', 123),
(4, 3, 'Betreff 4', 1, '2019-05-29 07:44:07', 123),
(5, 2, 'Betreff 5', 1, '2019-05-29 07:49:32', 123),
(6, 2, 'Betreff 6', 3, '2019-05-29 08:49:32', 123),
(7, 3, 'Betreff 7', 2, '2019-05-29 09:49:32', 123),
(8, 2, 'Betreff 8', 1, '2019-05-29 10:49:32', 123),
(9, 3, 'Betreff 9', 2, '2019-05-29 11:49:32', 123),
(10, 3, 'Betreff 10', 3, '2019-05-29 12:49:32', 123);
I have created a SQL Fiddle: http://sqlfiddle.com/#!9/a873b6/3
The first three Statements are attempts that won't work correct or way too slow. The last one is the key I think, but I don't understand, why this gets the status wrong.
The attempt to create the table with latest ins_date AND status for each ticket:
SELECT
ticket, status, MAX(ins_date) as max_date
FROM
ticket_relation
GROUP BY
ticket
ORDER BY
ins_date DESC;
This query gets the correct (latest) ins_date for every ticket, but not the latest status:
+--------+--------+----------------------+
| ticket | status | max_date |
+--------+--------+----------------------+
| 3 | 1 | 2019-05-29T12:49:32Z |
+--------+--------+----------------------+
| 2 | 0 | 2019-05-29T10:49:32Z |
+--------+--------+----------------------+
| 1 | 0 | 2019-05-28T12:07:36Z |
+--------+--------+----------------------+
Expected output would be this:
+--------+--------+----------------------+
| ticket | status | max_date |
+--------+--------+----------------------+
| 3 | 3 | 2019-05-29T12:49:32Z |
+--------+--------+----------------------+
| 2 | 1 | 2019-05-29T10:49:32Z |
+--------+--------+----------------------+
| 1 | 3 | 2019-05-28T12:07:36Z |
+--------+--------+----------------------+
Is there a efficient way to select the latest timestamp and status for every ticket in the tiket-table?
Other approach is to think filtering not GROUPing..
Query
SELECT
ticket_relation_1.ticket
, ticket_relation_1.status
, ticket_relation_1.ins_date
FROM
ticket_relation AS ticket_relation_1
LEFT JOIN
ticket_relation AS ticket_relation_2
ON
ticket_relation_1.ticket = ticket_relation_2.ticket
AND
ticket_relation_1.ins_date < ticket_relation_2.ins_date
WHERE
ticket_relation_2.id IS NULL
ORDER BY
ticket_relation_1.id DESC
Result
| ticket | status | ins_date |
| ------ | ------ | ------------------- |
| 3 | 3 | 2019-05-29 12:49:32 |
| 2 | 1 | 2019-05-29 10:49:32 |
| 1 | 3 | 2019-05-28 12:07:36 |
see demo
This query would require a index KEY(ticket, ins_date, id) to get max performance..
One solution would be to use a subquery to compute the latest insert date for each ticket, and then to join the results with the original table, like:
SELECT t.ticket, t.status, t.ins_date
FROM ticket_relation t
INNER JOIN (
SELECT ticket, max(ins_date) max_ins_date
FROM ticket_relation
GROUP BY ticket
) x ON t.ticket = x.ticket AND t.ins_date = x.max_ins_date
For better performance with this query, you want an index on (ticket, ins_date).
Anoter option would be to use a NOT EXISTS condition to ensure that only the latest record is selected, like:
SELECT t.ticket, t.status, t.ins_date
FROM ticket_relation t
WHERE NOT EXISTS (
SELECT 1
FROM ticket_relation t1
WHERE t1.ticket = t.ticket AND t1.ins_date > t.ins_date)
)
NB: when dealing with GROUP BY, all non-aggregated columns must appear in the GROUP BY clause. Else, you will get either an error or unprectictable results (depending on whether server option ONLY_FULL_GROUP_BY is, respectively, enabled or disabled).
If you are able to upgrade to a recent version of mysql (8.0), then window functions can be used to simplify the query and possibly increase its performance, like:
SELECT ticket, status, ins_date
FROM (
SELECT
ticket,
status,
ins_date,
row_number() over(partition by ticket order by ins_date desc) rn
FROM ticket_relation
) x WHERE rn = 1
You can try below query -
SELECT
ticket, status, ins_date as max_date
FROM ticket_relation a
where ins_date in (select max(ins_date) from ticket_relation b where a.ticket=b.ticket)
What I have
I have the following two tables in a MySQL database (version 5.6.35).
CREATE TABLE `Runs` (
`Name` varchar(200) NOT NULL,
`Run` varchar(200) NOT NULL,
`Points` int(11) NOT NULL
) DEFAULT CHARSET=latin1;
INSERT INTO `Runs` (`Name`, `Run`, `Points`) VALUES
('John', 'A08', 12),
('John', 'A09', 3),
('John', 'A01', 15),
('Kate', 'A02', 92),
('Kate', 'A03', 1),
('Kate', 'A04', 33),
('Peter', 'A05', 8),
('Peter', 'A06', 14),
('Peter', 'A07', 5);
CREATE TABLE `Users` (
`Name` varchar(500) NOT NULL,
`NumberOfRun` int(11) NOT NULL
) DEFAULT CHARSET=latin1;
INSERT INTO `Users` (`Name`, `NumberOfRun`) VALUES
('John', 2),
('Kate', 1),
('Peter', 3);
ALTER TABLE `Runs`
ADD PRIMARY KEY (`Run`);
What is my target
John have Users.NumberOfRun=2, so I will extract the 2 top records from Runs table
Kate have Users.NumberOfRun=1, so I will extract the 1 top record from Runs table
Peter have Users.NumberOfRun=3, so I will extract the 3 top records from Runs table
I would like to came to the following result
+-------+-----+--------+
| Name | Run | Points |
+-------+-----+--------+
| John | A01 | 15 |
| John | A08 | 12 |
| Kate | A02 | 92 |
| Peter | A06 | 14 |
| Peter | A05 | 8 |
| Peter | A07 | 5 |
+-------+-----+--------+
What I have tried
First of all, if it was SQL Server I would use ROW_NUMBER() OVER (PARTITION BY ... ORDER BY ) AS [rn] function to the Runs table and then make a JOIN with the Users table on Users.NumberOfRun<=[rn].
I have read this document but it seems that PARTITONING in MySQL it is available since version 8.X, but I am using the 5.6.X version.
Finally, I have tried this query, based on this Stackoverflow answer:
SELECT t0.Name,t0.Run
FROM Runs AS t0
LEFT JOIN Runs AS t1 ON t0.Name=t1.Name AND t0.Run=t1.Run AND t1.Points>t0.Points
WHERE t1.Points IS NULL;
but it doesn't give me the row number, which is essentially for me to make a JOIN as described above.
SQL Fiddle to this example.
A combination of 'group_concat' and 'find_in_set', followed by the filtering using the position returned by 'find_in_set' will do the job for you.
GROUP_CONCAT will sort the data in descending order of points first.
GROUP_CONCAT(Run ORDER BY Points DESC)
FIND_IN_SET will then retrieve the number of rows you want to include in the result.
FIND_IN_SET(Run, grouped_run) BETWEEN 1 AND Users.NumberOfRun
The below query should work for you.
SELECT
Runs.*
FROM
Runs
INNER JOIN (
SELECT
Name, GROUP_CONCAT(Run ORDER BY Points DESC) grouped_run
FROM
Runs
GROUP BY Name
) group_max ON Runs.Name = group_max.Name
INNER JOIN Users ON Users.Name = Runs.Name
WHERE FIND_IN_SET(Run, grouped_run) BETWEEN 1 AND Users.NumberOfRun
ORDER BY
Runs.Name Asc, Runs.Points DESC;
I am using events.I would like to know how to calculate sum in event or using single query
http://sqlfiddle.com/#!9/ad6d1c/1
DDL for question:
CREATE TABLE `table1` (
`id` int(11) NOT NULL,
`group_id` int(11) NOT NULL DEFAULT '0',
`in_use` tinyint(1) NOT NULL DEFAULT '1' COMMENT '0->in_use,1->not_in_use',
`auto_assign` tinyint(1) NOT NULL DEFAULT '0' COMMENT '0->Yes,1->No'
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
ALTER TABLE `table1`
ADD PRIMARY KEY (`id`);
ALTER TABLE `table1`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT;
INSERT INTO `table1` (`id`, `group_id`, `in_use`, `auto_assign`) VALUES
(1, 3, 1, 0),(2, 2, 0,1),(3, 1, 1, 1),(4, 3, 1, 0),(5, 3, 0, 0),(6, 3, 0, 1),
(7, 3, 1, 0),(8, 3, 0, 1),(9, 3, 0, 1),(10, 3, 0, 1),(11, 3, 0, 1),(12, 3, 1, 1),
(13, 3, 1, 0),(14, 3, 0, 0),(15, 3, 0, 0),(16, 3, 0, 0),(17, 3, 0, 0),(18, 3, 1, 1),
(19, 3, 0, 0),(20, 3, 0, 0)
Expected Output :
| count | in_use | auto_assign | sum | check_count |
|-------|--------|-------------|------|------------ |
| 7 | 0 | 0 | 11 | 5 |
| 5 | 0 | 1 | 07 | 3 |
| 4 | 1 | 0 | 11 | 5 |
| 2 | 1 | 1 | 07 | 3 |
Here we can see that auto_assign=0 have total 11 count(7+4) and
auto_assign=1 have 7 count(5+2) this count should be stored into new column sum.
check_count column is percentage value of sum column.Percentage will be predefined.
Lets take 50%, So count 11(sum column value) ->50% = 5.5 = ROUND(5.5) == 5(In integer). Same way count 7(sum column value)->50% = 3.5 =ROUND(3.5)=3(Integer)
Here 5 > 4(auto_assign=0 and in_use=1 ).So have to insert record into another table(table2). if not then not.
Same way, If 3 >2 then also need to insert record into another table(table2).if not then not.
Note : This logic I would like to implement in event
This is bit complicated, but please suggest me how to do this in event.
Detail clarification :
here percentage_Value is 5 for auto_assign =0.But auto_assign=0 and in_use=1 have count is 4 which less than 5 ,then have to insert record into table 2.
suppose,if we get count is 6 for auto_assign=0 and in_use=1 ,Then no need to insert record into table2.
Same way,
here percentage_Value is 3 for auto_assign =1.But auto_assign=1 and in_use=1 have count is 2 which less than 3 ,then have to insert record into table 2.
suppose,if we get count is 4 for auto_assign=1 and in_use=1 ,Then no need to insert record into table2.
Insert query into table2:
Insert into table2(cli_group_id,auto_assign,percentage_value,result_value) values(3,0,5,4)
DEMO Fiddle
Break the problem down: we need a count of the records by auto_Assigns; so we generate a derived table (B) with that value and join back to your base table on auto_Assign. This then gives us the column we need for some and we use the truncate function and a division model to get the check_count
SELECT count(*), in_use, A.Auto_Assign, B.SumC, truncate(B.SumC/2,0) as check_Count
FROM table1 A
INNER JOIN (Select Auto_Assign, count(*) sumC
from table1
where Group_ID = 3
Group by Auto_Assign) B
on A.Auto_Assign = B.Auto_Assign
WHERE GROUP_ID = 3
Group by in_use, A.Auto_Assign
we can eliminate the double where clause by joining on it:
SELECT count(*), in_use, A.Auto_Assign, B.SumC, truncate(B.SumC/2,0) as check_Count
FROM table1 A
INNER JOIN (Select Auto_Assign, count(*) sumC, Group_ID
from table1
where Group_ID = 3
Group by Auto_Assign, Group_ID) B
on A.Auto_Assign = B.Auto_Assign
and A.Group_ID = B.Group_ID
Group by in_use, A.Auto_Assign
I'd need clarification on the rest of the question: I'm not sure what 5 > 4 your'e looking at and I see no 3 other than the check count but that's not "the same way" so I'm not sure what you're after.
Here 5 > 4(auto_assign=0 and in_use=1 ).So have to insert record into another table(table2). if not then not.
Same way, If 3 >2 then also need to insert record into another table(table2).if not then not.
Note : This logic I would like to implement in event
This is bit complicated, but please suggest me how to do this in event.
So to create the event: DOCS
Which results in:
CREATE EVENT myevent
ON SCHEDULE AT CURRENT_TIMESTAMP + INTERVAL 6 Minutes
DO
INSERT INTO table2
SELECT count(*) as mCount
, in_use
, A.Auto_Assign
, B.SumC, truncate(B.SumC/2,0) as check_Count
FROM table1 A
INNER JOIN (SELECT Auto_Assign, count(*) sumC, Group_ID
FROM table1
WHERE Group_ID = 3
GROUP BY Auto_Assign, Group_ID) B
ON A.Auto_Assign = B.Auto_Assign
AND A.Group_ID = B.Group_ID
GROUP BY in_use, A.Auto_Assign
With the following sample table, I want to create a MySQL query that returns the latest version for each of the following fictional applications (based on traditional software version numbering). I am using MySQL version 5.5.17.
I would also consider using a stored function, if a function can be created that makes a more elegant query.
app | major | minor | patch
------+-------+-------+--------
cat | 2 | 15 | 0
cat | 2 | 15 | 1
cat | 2 | 2 | 0
dog | 1 | 0 | 1
dog | 1 | 7 | 2
dog | 3 | 0 | 0
fish | 2 | 2 | 5
fish | 2 | 3 | 1
fish | 2 | 11 | 0
Expected query result:
app | major | minor | patch
------+-------+-------+--------
cat | 2 | 15 | 1
dog | 3 | 0 | 0
fish | 2 | 11 | 0
You can use this sql to create the table called my_table, so you can test.
CREATE TABLE IF NOT EXISTS `my_table` (
`app` varchar(10) NOT NULL,
`major` int(11) NOT NULL DEFAULT '0',
`minor` int(11) NOT NULL DEFAULT '0',
`patch` int(11) NOT NULL DEFAULT '0'
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
INSERT INTO `my_table` (`app`, `major`, `minor`, `patch`) VALUES
('cat', 2, 15, 1),
('cat', 2, 15, 0),
('cat', 2, 2, 0),
('dog', 1, 0, 1),
('dog', 1, 7, 2),
('dog', 3, 0, 0),
('fish', 2, 2, 5),
('fish', 2, 3, 1),
('fish', 2, 11, 0);
If you assume that the minor version and patch never go above 1000, you can combine them into a single number major*100000 + minor*1000 + patch. Then you can apply one of the techniques at SQL Select only rows with Max Value on a Column after calculating this for each row.
SELECT m.*
FROM my_table AS m
JOIN (SELECT app, MAX(major*1000000 + minor*1000 + patch) AS maxversion
FROM my_table
GROUP BY app) AS m1
ON m.app = m1.app AND major*1000000 + minor*1000 + patch = maxversion
DEMO
There are three approaches I can think of. And all of them are pretty ugly, and all of them involve subqueries.... 1) use correlated subqueries in SELECT list of a GROUP BY query, 2) use inline view to get max of canonical string concatenation of (zero padded) major_minor_patch 0002_0015_0001, and then either unpack the string representation, or join to table to get matching row, or 3) use a query that orders the rows by app, then by highest version of each app, and a trick (unsupported) with user defined values to flag the "first" row for each app. None of these is pretty.
Here's a demonstration of one approach.
We start with this, to get each app:
SELECT t.app
FROM my_table t
GROUP BY t.app
Next step, get the highest "major" for each app, we can do something like this:
SELECT t.app
, MAX(t.major) AS major
FROM my_table t
GROUP BY t.app
To get the highest minor within that major, we can make that an inline view... wrap it in parens and reference it like a table in another query
SELECT t2.app
, t2.major
, MAX(t2.minor) AS minor
FROM my_table t2
JOIN (
SELECT t.app
, MAX(t.major) AS major
FROM my_table t
GROUP BY t.app
) t1
ON t2.app = t1.app
AND t2.major = t1.major
GROUP BY t2.app, t2.major
To get the highest patch, we follow the same pattern. Using the previous query as an inline view.
SELECT t4.app
, t4.major
, t4.minor
, MAX(t4.patch) AS patch
FROM my_table t4
JOIN ( -- query from above goes here
SELECT t2.app
, t2.major
, MAX(t2.minor) AS minor
FROM my_table t2
JOIN ( SELECT t.app
, MAX(t.major) AS major
FROM my_table t
GROUP BY t.app
) t1
ON t2.app = t1.app
AND t2.major = t1.major
GROUP BY t2.app, t2.major
) t3
ON t4.app = t3.app
AND t4.major = t3.major
AND t4.minor = t3.minor
GROUP BY t4.app, t4.major, t4.minor
That's just an example of one approach.
FOLLOWUP:
For another approach (getting a canonical representation of the version, that is, combining the values of "major", "minor" and "patch" in a single expression so that the result can be "ordered" by that expression to get the highest version), see the answer from Gordon.
I have two table complain and repair. I want to get ass_to_per [Latest one] from repair or from complain if the id of complain is not present in repair.
Explanation:
I want to get the ass_to_per from the complain table, and also from the repair table. But there is a relation between them, in repair there is a field called com_id which is a foreign key. So i want to get the ass_to_per from complain and also check the repair for the foreign key, if any then check the ass_to_per of repair. If any then get it as result.
I have sqlfiddle, For online testing: sqlfiddle.com
The table and data given below.
Complain
CREATE TABLE `complain` (
`id` int(11) NOT NULL,
`ass_to_per` varchar(50) NOT NULL
);
INSERT INTO `complain` (`id`, `ass_to_per`) VALUES
(1, 'frayne'),
(2, 'murad'),
(4, 'frayne'),
(5, 'murad'),
(6, 'frayne'),
(7, 'frayne');
Repair
CREATE TABLE `repair` (
`id` int(11) NOT NULL,
`com_id` int(11) NOT NULL,
`ass_to_per` varchar(50) NOT NULL
);
INSERT INTO `repair` (`id`, `com_id`, `ass_to_per`) VALUES
(1, 1, 'frayne'),
(2, 1, 'murad'),
(3, 4, 'frayne'),
(4, 6, 'murad'),
(5, 2, 'murad'),
(6, 5, 'frayne');
My Query:
SELECT * FROM `complain`
WHERE `id` IN (SELECT DISTINCT(`com_id`) FROM `repair` WHERE `ass_to_per` = 'frayne') OR `ass_to_per`='frayne'
Query Result
id | ass_to_per
--------------
1 | frayne
4 | frayne
5 | murad
6 | frayne
7 | frayne
Analysis
id | ass_to_per[complain] | ass_to_per[repair]
--------------
1 | murad | frayne
2 | murad | murad
4 | frayne | frayne //need this one
5 | murad | frayne //need this one
6 | frayne | murad
7 | frayne | //need this one
Expected result:
id | ass_to_per
--------------
4 | frayne //ass_to_per from repair
5 | frayne //ass_to_per from repair
7 | frayne //ass_to_per from complain
COALESCE() will output the first non-null parameter it finds, so using a join you can probably get ass_to_per from complain or repair depending on which one exists:
SELECT
complain.id,
COALESCE(repair3.ass_to_per, complain.ass_to_per) as ass_to_per
FROM complain
LEFT JOIN
(SELECT max(id) as maxid, com_id FROM repair GROUP BY com_id) as repair2
ON complain.id = repair2.com_id
LEFT JOIN repair as repair3
ON repair2.maxid = repair3.id
GROUP BY complain.id
If you want to further filter (like in your example on 'frayne') on computed ass_to_per, just embed this select as a subquery:
SELECT *
FROM (
SELECT
complain.id,
COALESCE(repair3.ass_to_per, complain.ass_to_per) as ass_to_per
FROM complain
LEFT JOIN (SELECT max(id) as maxid, com_id FROM repair GROUP BY com_id) AS repair2
ON complain.id = repair2.com_id
LEFT JOIN repair as repair3
ON repair2.maxid = repair3.id
GROUP BY complain.id
) AS mydata
WHERE mydata.ass_to_per = 'frayne'
ORDER BY mydata.id;
Fiddle here : http://sqlfiddle.com/#!9/33433/49
SELECT c.id
FROM complain c
LEFT
JOIN
( SELECT x.*
FROM repair x
JOIN
( SELECT com_id,MAX(id) id FROM repair GROUP BY com_id ) y
ON y.com_id = x.com_id
AND y.id = x.id
) r
ON r.com_id = c.id
WHERE COALESCE(r.ass_to_per,c.ass_to_per) = 'frayne';