I have 2 tables,but linked in many to many relations so 3 tables :
Table Author :
idAuthor,
Name
+----------+-------+
| idAuthor | Name |
+----------+-------+
| 1 | Renee |
| 2 | John |
| 3 | Bob |
| 4 | Bryan |
+----------+-------+
Table Publication:
idPublication,
Title,
Type,
Date,
Journal,
Conference
+---------------+--------------+------+-------------+------------+-----------+
| idPublication | Title | Date | Type | Conference | Journal |
+---------------+--------------+------+-------------+------------+-----------+
| 1 | Flower thing | 2008 | book | NULL | NULL |
| 2 | Bees | 2009 | article | NULL | Le Monde |
| 3 | Wasps | 2010 | inproceding | KDD | NULL |
| 4 | Whales | 2010 | inproceding | DPC | NULL |
| 5 | Lyon | 2011 | article | NULL | Le Figaro |
| 6 | Plants | 2012 | book | NULL | NULL |
+---------------+--------------+------+-------------+------------+-----------+
Table author_has_publication :
Author_idAuthor,
Publication_idPublication
+-----------------+---------------------------+
| Author_idAuthor | Publication_idPublication |
+-----------------+---------------------------+
| 1 | 1 |
| 2 | 2 |
| 3 | 3 |
| 4 | 4 |
| 1 | 5 |
| 2 | 5 |
| 3 | 5 |
| 3 | 6 |
+-----------------+---------------------------+
What I want to do is get the top X author having the most publications.
I achieved to get the result avec the idAuthor having the most publications, using this request :
SELECT Author_idAuthor, COUNT(*) as count FROM Author_has_publication GROUP BY Author_idAuthor ORDER BY count DESC;
I get the list of the authors id, ordered by the number of publications :
+-----------------+-------+
| Author_idAuthor | count |
+-----------------+-------+
| 3 | 3 |
| 2 | 2 |
| 1 | 2 |
| 4 | 1 |
+-----------------+-------+
but then when I try to select the author corresponding to the top X of the result set of the previous query I have an error
I am Trying this SELECT TOP 2 FROM author WHERE (SELECT Author_idAuthor, COUNT(*) as count FROM Author_has_publication GROUP BY Author_idAuthor ORDER BY count DESC)=idAuthor;
I think it might be because my inside query return 2 rows, and I do a simple SELECT here or that I need a JOIN but i have no ideas how to use it here.
MySQL has no TOP keyword. It does however have a LIMIT keyword. Your query is invalid anyway.
There are a couple of options here. The following is an example of a correlated subquery: https://en.wikipedia.org/wiki/Correlated_subquery
SELECT
a.idAuthor,
a.Name ,
(SELECT COUNT(*) from author_has_publication ahp WHERE
ahp.Author_idAuthor = a.idAuthor) AS publication_count
FROM
author a
ORDER BY
publication_count DESC
LIMIT 2
As the referenced article notes, the above is inefficient as the subquery needs to be re-executed for each row of the result. If you do not actually need the count in the resultset then the below would be more efficient as the subquery is non-correlated and executed only once.
SELECT
a.idAuthor,
a.Name
FROM
author a
INNER JOIN
(select ahp.Author_idAuthor AS idAuthor, COUNT(*) as publication_count
FROM author_has_publication ahp GROUP BY ahp.Author_idAuthor LIMIT 2)
AS TEMP ON TEMP.idAuthor = a.idAuthor
Related
I have 3 tables like this:
table_events
+------+----------+----------------------+
| ID | Title | Employees |
+------+----------+----------------------+
| 1 | Event1 | john,james |
+------+----------+----------------------+
| 2 | Event2 | sarah,jessica |
+------+----------+----------------------+
table_check_in
+------+----------+----------+---------------------+
| ID | Time | EventID | By |
+------+----------+----------+---------------------+
| 1 | 08:30 | 1 | john |
+------+----------+----------+---------------------+
| 2 | 08:30 | 1 | james |
+------+----------+----------+---------------------+
| 3 | 09:30 | 1 | john |
+------+----------+----------+---------------------+
| 4 | 10:30 | 2 | sarah |
+------+----------+----------+---------------------+
| 5 | 10:35 | 2 | sarah |
+------+----------+----------+---------------------+
table_problems
+------+----------------+----------+---------------------+
| ID | Comment | EventID | By |
+------+----------------+----------+---------------------+
| 1 | Broken door | 1 | john |
+------+----------------+----------+---------------------+
| 2 | Slippery floor | 1 | john |
+------+----------------+----------+---------------------+
| 3 | Leaking tap | 1 | john |
+------+----------------+----------+---------------------+
| 4 | Broken window | 2 | jessica |
+------+----------------+----------+---------------------+
| 5 | Broken glass | 2 | jessica |
+------+----------------+----------+---------------------+
I would like to print something like this:
+------+----------+---------------+-------------------+-------------------+
| ID | Title | Employees | Count_Check_In | Count_Problems |
+------+----------+---------------+-------------------+-------------------+
| 1 | Event1 | john,james | john:2,james:1 | john:3,james:0 |
+------+----------+---------------+-------------------+-------------------+
| 2 | Event2 | sarah,jessica | sarah:2,jessica:0 | sarah:0,jessica:2 |
+------+----------+---------------+-------------------+-------------------+
I know this problem would be trivial if the database was designed properly, but we don't have the luxury of an application rewrite at the moment.
You need to initially get all the employees for each event id from check in and problem tables by using a union.
Then left join the counts from each of check in and problems table to the previous result to get the 0 counts as well.
Finally use a group_concat to get the result in one row for each event id.
select te.id,te.title,te.employees
,group_concat(concat(t.`By`,':',coalesce(tccnt.cnt,0))) count_check_in
,group_concat(concat(t.`By`,':',coalesce(tpcnt.cnt,0))) count_problems
from table_events te
left join (select eventid,`By` from table_check_in
union
select eventid,`By`from table_problems) t on te.id = t.eventid
left join (select eventid,`By`,count(*) cnt from table_check_in group by eventid,`By`) tccnt on tccnt.eventid = t.eventid and tccnt.`By`=t.`By`
left join (select eventid,`By`,count(*) cnt from table_problems group by eventid,`By`) tpcnt on tpcnt.eventid = t.eventid and tpcnt.`By`=t.`By`
group by te.id,te.title,te.employees
Sample Demo (thanks to #valex for setting up the schema)
You can use GROUP_CONCAT to get a result. Here is an example. The only thing missed is employees with 0 check ins or problems.
SELECT ID, Title,Employees,
GROUP_CONCAT(DISTINCT CONCAT(check_in.`By`,':',check_in.cnt))
as Count_Check_In,
GROUP_CONCAT(DISTINCT CONCAT(problems.`By`,':',problems.cnt))
as Count_Problems
FROM table_events
LEFT JOIN (SELECT EventID,`By`, COUNT(*) as cnt
FROM table_check_in
GROUP BY EventID,`By`) as check_in
ON table_events.ID = check_in.EventID
LEFT JOIN (SELECT EventID,`By`, COUNT(*) as cnt
FROM table_problems
GROUP BY EventID,`By`) as problems
ON table_events.ID = problems.EventID
GROUP BY table_events.id
Demo
How do I solve this one? None of my queries works and I've tried few.
I've got to return details of two doctors who ordered the most analysis including the number of analysis they have ordered. That last part of the sentence is what really drives me mad.
To work with I've got these two tables:
mysql> select * from DOCTORES;
+-----------+---------------------------+--------------+-----------+
| DNI_DOC | NOMBRE_DOC | ESPECIALIDAD | TELEFONO |
+-----------+---------------------------+--------------+-----------+
| 22888444O | MATEO DÍAZ, RAMÓN | 3 | 659876457 |
| 22909456Y | HERAS PRADO, ANTONIA | 1 | 676234598 |
| 23456398F | GÓMEZ DAVID, ADRIÁN | 1 | 646768454 |
| 25349857H | BURGOS CASA, CANDY | 2 | 659758476 |
| 55776898K | RAMÓN CORONADO,LUIS | 3 | 654364736 |
| 78988484B | CONRADO ALONSO, JOSE | 2 | 645878745 |
| 88647389P | DOMÍNGUEZ GÓMEZ, MANUEL | 1 | 623787343 |
+-----------+---------------------------+--------------+-----------+
and:
mysql> select * from PETICIONES;
+--------+------------+--------+-----------+-----------+
| ID_PET | FECHA_PET | ID_ANA | DNI_PAC | DNI_DOC |
+--------+------------+--------+-----------+-----------+
| 1 | 2008-01-03 | 2 | 71515623A | 23456398F |
| 2 | 2008-05-10 | 2 | 33788976F | 55776898K |
| 3 | 2008-05-08 | 3 | 79876867X | 23456398F |
| 4 | 2008-05-11 | 4 | 44787345H | 55776898K |
| 5 | 2008-05-12 | 2 | 19887234W | 25349857H |
| 6 | 2008-05-05 | 4 | 22897576R | 55776898K |
| 7 | 2008-03-15 | 5 | 44787345H | 88647389P |
| 8 | 2008-03-19 | 1 | 71515623A | 23456398F |
| 9 | 2008-03-26 | 2 | 71515623A | 78988484B |
| 10 | 2008-03-15 | 2 | 19887234W | 88647389P |
| 11 | 2008-03-15 | 3 | 33788976F | 55776898K |
| 12 | 2008-03-26 | 2 | 44787345H | 23456398F |
+--------+------------+--------+-----------+-----------+
I tried this:
select
NOMBRE_DOC
from
DOCTORES
where
DNI_DOC IN (select DNI_DOC
from PETICIONES
group by ID_ANA
order by count(*) desc
limit 2)
group by
DNI_DOC;
and that:
SELECT
DNI_DOC, ID_ANA, COUNT(ID_ANA) AS count
FROM
TIPOS_ANALISIS
WHERE
ID_ANA = (SELECT ID_ANA
FROM
(SELECT
ID_ANA, COUNT(ID_ANA) as AnaCount
FROM
PETICIONES
GROUP BY
by ID_ANA
ORDER BY
AnaCount DESC
LIMIT 1) t1)
GROUP
BY ID_ANA;
and that:
select a.* from DOCTORES a
-> where a.DNI_DOC = ( SELECT b.DNI_DOC from PETICIONES b
-> group by d.ID_ANA
-> order by count(ID_ANA) DESC
-> limit 2 );
you can't even imagine how frustrating it is when you say it's a simple query... Why it isn't simple to me is a mystery (provided that I am really not a dummy).
Expected output would be something like this:
+-----------+---------------------------+--------------+-----------+
| DNI_DOC | NOMBRE_DOC | ID_ANA | count |
+-----------+---------------------------+--------------+-----------+
| 22888444O | MATEO DÍAZ, RAMÓN | 3 | 6 |
+-----------+---------------------------+--------------+-----------+
I believe you are severely overcomplicating this. Join the 2 tables on DNI_DOC field, group by the doctor's id and name (and any other details you may want to include in the select list), and count the number of distinct ID_ANAs.
SELECT d.DNI_DOC, d.NOMBRE_DOC, COUNT(distinct ID_ANA) AS count
FROM DOCTORES d
INNER JOIN PETICIONES t ON d.DNI_DOC=t.DNI_DOC
GROUP BY d.DNI_DOC, d.NOMBRE_DOC
ORDER BY COUNT(distinct ID_ANA) DESC
LIMIT 2
If you need the total number of peticiones per doctor, then remove the distinct from the count.
Here is what I would do :
select d.*, count(p.ID_PET) as TOTAL_PETICIONES from DOCTORES d
inner join PETICIONES p on p.DNI_DOC = d.DNI_DOC
group by d.DNI_DOC
order by count(ID_ANA) DESC
limit 2
This is not tested and write here so please correct me for typos ;)
Using a join will provide a nice output. Grouping by DOCTORES to be able to count the PETICIONES per DOCtORES
EDIT : Something like that. The output won't be good because I have issues to understand the column content.
I am trying to get the sum of a single column from all rows that share similar data. For example, given the following data:
|ppID | cID | Count | NameSpace|
|-----|-------|-------|----------|
|586 | 18281 | 1 | LAB |
|587 | 18269 | 1 | LAB |
|588 | 18281 | 1 | LAB |
|589 | 17823 | 1 | IPB |
|590 | 18281 | 1 | LAB |
|591 | 18256 | 1 | LAB |
|592 | 18256 | 1 | LAB |
|593 | 18269 | 1 | IPB |
|-----|-------|-------|----------|
I'm hoping to get:
|ppID | cID | Count | NameSpace|
|-----|-------|-------|----------|
|586 | 18281 | 3 | LAB |
|587 | 18269 | 1 | LAB |
|589 | 17823 | 1 | IPB |
|591 | 18256 | 2 | LAB |
|593 | 18269 | 1 | IPB |
|-----|-------|-------|----------|
I've pieced together a couple of different things and come up with `
SELECT * FROM PopularPages
WHERE cID IN (SELECT cID FROM PopularPages
GROUP BY cID
HAVING COUNT(cID) > 1)
ORDER BY cID, Namespace
which will list out each of the rows but without counting up the sum of the Count column. Any help would be appreciated.
is this what you want ?
SELECT
MIN(ppID) as ppID,
cID,
SUM(`Count`) as COUNT,
NameSpace
FROM PopularPages
GROUP BY cID
HAVING Count > 1;
I have 3 tables:
applications (has many votes)
votes (belongs to applications and questions)
questions (has many votes)
I need to get number of votes per application per question.
So, my attempt was:
SELECT applications.id, COUNT(votes.id), votes.question_id
FROM applications
LEFT OUTER JOIN votes ON (votes.application_id = application.id)
GROUP BY votes.question_id
However, it displays data only for a single application, so I assume my query is malformed:
+----+-----------------+-------------+
| id | COUNT(votes.id) | question_id |
+----+-----------------+-------------+
| 1 | 1185 | 1 |
| 1 | 1170 | 2 |
| 1 | 1209 | 3 |
| 1 | 1230 | 4 |
| 1 | 1213 | 5 |
+----+-----------------+-------------+
What I need:
+----+-----------------+-------------+
| id | COUNT(votes.id) | question_id |
+----+-----------------+-------------+
| 1 | 1185 | 1 |
| 1 | 1170 | 2 |
| 1 | 1209 | 3 |
| 1 | 1230 | 4 |
| 1 | 1213 | 5 |
| 2 | null | 1 |
| 2 | 50 | 2 |
| 2 | 333 | 3 |
| 2 | 1230 | 4 |
| 2 | 1213 | 5 |
| 3 | null | 1 |
| 3 | 50 | 2 |
| 3 | 333 | 3 |
| 3 | null | 4 |
| 3 | 5555 | 5 |
+----+-----------------+-------------+
The group by clause was missing applications.id.
SELECT applications.id, COUNT(votes.id), votes.question_id
FROM applications
LEFT OUTER JOIN votes ON votes.application_id = application.id
group by applications.id, votes.question_id
You should be grouping by the applications.id as well as the questions.id:
SELECT a.id, COUNT(votes.id), votes.question_id
FROM applications a LEFT OUTER JOIN
votes v
ON v.application_id = a.id
GROUP BY a.id, v.question_id;
However, this will not produce exactly what you want. You seem to want all the questions for the applications, regardless of whether or not there are any votes. If so, this is probably what you want:
SELECT a.id, q.question_id, COUNT(v.application_id)
FROM applications a CROSS JOIN
(SELECT DISTINCT question_id FROM votes) q LEFT JOIN
votes v
ON v.application_id = a.id and v.question_id = q.question_id
GROPU BY a.id, q.question_id;
So in order to know how many people in a table are called Johnny I would need to excecute the following query.
Query:
Select count(*) from mytable where first = 'Johnny';
It would give me 2 as the result.
What I wish to do however is record this number in the count column so that the end result comes out like this.
+--------+----------+
| First | COUNT |
+--------+----------+
| Johnny | 2 |
| Diane | 1 |
| Johnny | 2 |
| Harold | 1 |
| Amy | 3 |
| Roy | 2 |
| Amy | 3 |
| Amy | 3 |
| Roy | 2 |
+--------+----------+
Is there any query or procedure capable of resulting in this type of output?
To get your exact output, you need to use a subquery:
select
mytable.First,
counts.`COUNT`
from
mytable
join (
select
First,
count(*) `COUNT`
from
mytable
group by
First
) counts on mytable.First = counts.First;
Try this:
SELECT T1.First, T2.COUNT
FROM mytable T1 JOIN
(SELECT First, COUNT(*) as COUNT
FROM mytable
GROUP BY First) as T2 ON T1.First=T2.First
The result will be:
+--------+----------+
| First | COUNT |
+--------+----------+
| Johnny | 2 |
| Diane | 1 |
| Johnny | 2 |
| Harold | 1 |
| Amy | 3 |
| Roy | 2 |
| Amy | 3 |
| Amy | 3 |
| Roy | 2 |
+--------+----------+