I am having a query like
SELECT DISTINCT table_1.id_1,
table_1.id_2,
table_1_id_3
FROM table_1
INNER JOIN table_2
ON table_1.id_1 = table_2.id_1
AND table_1.id_2 = table_2.id_2
INNER JOIN table_3
ON table_2.id_1 = table_3.id_2
AND table_2.id_2 = table_3.id_2
WHERE table_2.code = 'Y'
AND table_2.site = 'N'
AND table_3.code = 'Q'
This gives me distinct combination of id_1, id_2 and id_3 satisfying the conditions. How should the query be to get distinct values of only id_1 matching all the conditions.
I am not posting the table contents as they are having large number of columns and as this question is a query specific one.
You could remove the second and third fields from the query.
SELECT DISTINCT
table_1.id_1
FROM table_1
INNER JOIN table_2
ON table_1.id_1 = table_2.id_1
AND table_1.id_2 = table_2.id_2
INNER JOIN table_3
ON table_2.id_1 = table_3.id_2
AND table_2.id_2 = table_3.id_2
WHERE table_2.code = 'Y'
AND table_2.site = 'N'
AND table_3.code = 'Q'
Related
I have two tables.
table_a:
id | data_x | data_y
--------------------
1 person joe
2 person bob
3 amount 200
4 addres philville
tableB:
map_id | table_a_id
-------------------
7 1
7 3
7 4
8 4
8 2
The result I want is the map_id if it has an entry in table_a for both data_x = 'person' and data_y = '200'
So with the above table B, the result should be
map_id
------
7
How can I write that query in SQL?
This situation is a perfect fit for an unusual SQL operator: INTERSECT. It is a very declarative, efficient and elegant solution for this problem.
SELECT Map.map_id
FROM Table_B AS Map JOIN Table_A AS Person ON (Person.id = Map.table_a_id) AND (Person.data_x = 'person')
INTERSECT
SELECT Map.map_id
FROM Table_B AS Map JOIN Table_A AS Amount ON (Amount.id = Map.table_a_id) AND (Amount.data_y = '200')
Formally what you are asking for is exactly the intersection of two disjoint sets: the set of map id's that are persons and the set of map id's that have a value of 200.
Please note the INTERSECT operator does not exists in MySQL, but it does in almost all advanced relational DBMS, including PostgreSQL.
This is less elegant than the INTERSECT solution #Malta posted, but it works with the limited capabilities of MySQL as well:
SELECT b1.map_id
FROM table_a a1
JOIN tableb b1 ON a1.id = b1.table_a_id AND a1.data_x = 'person'
JOIN tableb b2 ON b2.map_id = b1.map_id AND b2.table_a_id <> b1.table_a_id
JOIN table_a a2 ON a2.id = b2.table_a_id AND a2.data_y = '200';
SQL Fiddle for MySQL.
SQL Fiddle for Postgres.
Based on your input, the following should get you started using MySQL:
SELECT
map_id
FROM TableB
JOIN Table_A
ON TableB.table_a_id = Table_A.id
AND
((Table_A.data_x = 'person')
OR
(Table_A.data_y = '200')
)
GROUP BY map_id
HAVING COUNT(table_a_id) = 2
;
See it in action: SQL Fiddle.
Update
As Erwin Brandstetter made explicit: If the data can't be trusted to be inherently consistent (along the lines of your inquiry), one option is:
SELECT map_id FROM (
SELECT map_id, 'data_x' t
FROM TableB B JOIN Table_A A ON B.table_a_id = A.id AND A.data_x = 'person'
UNION
SELECT map_id, 'data_y'
FROM TableB B JOIN Table_A A ON B.table_a_id = A.id AND A.data_y = '200'
) T
GROUP BY map_id
HAVING COUNT(DISTINCT t) = 2
;
This should ensure "at least one each". (Alternatives have been suggested by others.) To get "exactly one each", you could try
SELECT map_id FROM (
SELECT map_id, 'data_x' t, data_y
FROM TableB B JOIN Table_A A ON B.table_a_id = A.id AND A.data_x = 'person'
UNION
SELECT map_id, 'data_y', data_y
FROM TableB B JOIN Table_A A ON B.table_a_id = A.id AND A.data_y = '200'
) T
GROUP BY map_id
HAVING COUNT(DISTINCT t) = 2 AND COUNT(DISTINCT data_y) = 2
;
See it in action (with additional test data): SQL Fiddle.
And it works in PostgreSQL as well: SQL Fiddle
Please comment if and as this requires adjustment / further detail.
Join the 2 tables, group by map_id, use conditional counting with either count() or sum(), and filter in having clause (I use mysql syntax below):
select map_id,
sum(
case
when a.data_x='person' or a.data_y='200' then 1
else 0
end
) as matches
from a
inner join b on a.id=b.a_id
group by b.map_id
having matches=2
The above query assumes that you cannot have more than one record for any map_id where data_x is person or data_y is 200. If this assumption is incorrect, then you need to use either exists subqueries or 2 derived tables.
Sounds like you want a standard INNER JOIN.
But I do beg to differ on your result:
map_id if it has an entry in table_a for both data_x = 'person' and data_y = '200'
There is not a record in your data set that has both 'person' and data_y = '200' and therefore no mp_id can be returned
Here is a typical INNER JOIN relating to your narrative.
SELECT DISTINCT
b.map_id
FROM
TableA a
INNER JOIN TableB b
ON a.id = b.table_a_id
WHERE
a.data_x = 'person'
AND a.data_y = '200'
If more than one map_id exists with data_x = 'person' and data_y = '200' then you will get multiple results but only 1 row per map_id
If you want the map_id(s) for records with data_x = 'person' or data_y = '200' then switch the and in the where statement to or and you will receive map_id 7 & 8.
SELECT DISTINCT
b.map_id
FROM
TableA a
INNER JOIN TableB b
ON a.id = b.table_a_id
WHERE
a.data_x = 'person'
OR a.data_y = '200'
Note this encompasses (7,1)(8,2) because 1 & 2 both have data_x = 'person' and then (7,3) because 3 has data_y = '200' therefore it would return map_id 7 & 8.
select map_id from
table_b b
left outer join table_a a1 on (b.table_a_id = a1.id and a1.data_x = 'person')
left outer join table_a a2 on (b.table_a_id = a2.id and a2.data_y = '200')
group by map_id
having count(a1.id) > 0 and count(a2.id) > 0
Lets do it simple:
SELECT * FROM
(
SELECT map_id
FROM table_a a1
inner join TableB b1 ON a1.id = b1.table_a_id
where a1.data_x = 'person'
) as p
inner join
(
SELECT map_id
FROM table_a a1
inner join TableB b1 ON a1.id = b1.table_a_id
where a1.data_y = '200'
) as q
on p.map_id = q.map_id
You may replace SELECT * FROM with SELECT p.map_id FROM.
You may add more sub-set-joins to have more conditions.
sql-fiddle
I am attempting to get the sum of 12 columns (in same table) in a subquery in an inner join.
Here is a link to my schema :
SqlFiddle
The query I am attempting to use is this:
SELECT
`inventory`.`part_number`,
`inventory`.`qty`,
`inventory`.`description`,
`reorder`.`reorder_point` * '1' `point`,
`inventory`.`cost`,
`vendor`.`name` AS `vendor_name`, SELECT (SUM(`saleshistory`.`Sales_1_Month_Prior`)+SUM(`saleshistory`.`Sales_2_Month_Prior`)+SUM(`saleshistory`.`Sales_3_Month_Prior`)+SUM(`saleshistory`.`Sales_4_Month_Prior`)+SUM(`saleshistory`.`Sales_5_Month_Prior`)+SUM(`saleshistory`.`Sales_6_Month_Prior`)+SUM(`saleshistory`.`Sales_7_Month_Prior`)+SUM(`saleshistory`.`Sales_8_Month_Prior`)+SUM(`saleshistory`.`Sales_9_Month_Prior`)+SUM(`saleshistory`.`Sales_10_Month_Prior`)+SUM(`saleshistory`.`Sales_11_Month_Prior`)+SUM(`saleshistory`.`Sales_12_Month_Prior`) AS TTL
FROM `inventory`
LEFT JOIN `reorder` ON `inventory`.`part_number` = `reorder`.`part_number`
LEFT JOIN `vendor` ON `inventory`.`vendor` = `vendor`.`vendor_id`
INNER JOIN `saleshistory` ON `saleshistory`.`location` = `inventory`.`location` AND `saleshistory`.`part_number` = `inventory`.`part_number`
WHERE `inventory`.`qty` <= `reorder`.`reorder_point`
AND `inventory`.`location` = '99'
AND `reorder`.`reorder_point` != '0'
GROUP BY `inventory`.`part_number`
ORDER BY `vendor`.`name` ASC
When using this query, it returns all the values for all the records not just the rows.
I have two tables that I believe I want to JOIN. I'm very new to this and am not completely sure…
The first table is called venues with the variables id, slug, name, etc. The second table is venue_terms with the variables id, option, venue, value. The matching variables are obviously venues.id and venue_terms.venue.
What I want to do is query venue_terms for matching values and then SELECT * FROM venues that match.
I've been working with the following query, but haven't been able to get it to work. I know INTERSECT isn't the solution, but I'm nut sure which JOIN I should use.
SELECT venue
FROM venue_terms
WHERE `option` = '1' AND `value` = '10'
INTERSECT
SELECT venue
FROM venue_terms
WHERE `option` = '2' AND `value` = '4';
I want to match those venue_terms.venue to the venues table. Can someone point me in the right direction?
UPDATE: To clarify, I'm trying to search multiple option/value combinations that ultimately have the same venue.id's. Basically, I want to able to find all of the venues where (option = 1 and value = 4) AND (option = 2 and value = 10) AND etc… where all of these are true.
You want to find venues that match conditions in two rows in table venue_terms. This can be accomplished by various methods. The most usual is by joining that table twice (another would be by a grouping query).
Here's the first way. Join twice to the venue_terms table:
SELECT v.id --- whatever columns you need
, v.slug --- from the venues table
, v.name
FROM venues AS v
INNER JOIN venue_terms AS vt1
ON vt1.venue = v.id
INNER JOIN venue_terms AS vt2
ON vt2.venue = v.id
WHERE ( vt1.option = 1 AND vt1.value = 10 )
AND ( vt2.option = 2 AND vt2.value = 4 ) ;
If you have 3 conditions, join thrice. If you have 10 conditions, join 10 times. It would be good for the efficiency of the query to have a compound index on (option, value, venue) in the terms table.
try this
SELECT venue.*, venue_terms.*
FROM venue
INNER JOIN venue_terms ON venue.id = venue_terms.venue
WHERE venue_terms.option IN ( 1 ,2)
AND venue_terms.value IN (10,4)
GROUP BY venue.id
How about this?
SELECT t1.*, t2.*
FROM venue t1 JOIN venue_terms t2
ON t1.id = t2.venue
WHERE (t2.option = 1 AND t2.value = 10)
NOTE: I believe option and value are of type INT.
If they are of type varchar then change above query to
SELECT t1.*, t2.*
FROM venue t1 JOIN venue_terms t2
ON t1.id = t2.venue
WHERE (t2.option = '1' AND t2.value = '10')
Update 1
As per your new requirement, you will just need to add that condition with OR option as shown below.
SELECT t1.*, t2.*
FROM venue t1 JOIN venue_terms t2
ON t1.id = t2.venue
WHERE
(t2.option = 1 AND t2.value = 10)
OR
(t2.option = 3 AND t2.value = 14)
This will join the two tables and print out the venues which matches the attributes (option, value) in venue_terms:
SELECT v.* FROM venue v, venue_terms vt
WHERE v.id = vt.venue
AND vt.option = 1
AND vt.value = 10
These are my tables:
Cadastros (id, nome)
Convenios (id, nome)
Especialidades (id, nome)
Facilidades (id, nome)
And the join tables:
cadastros_convenios
cadastros_especialidades
cadastros_facilidades
The table I'm querying for: Cadastros
I'm using MySQL.
The system will allow the user to select multiple "Convenios", "Especialidades" and "Facilidades". Think of each of these tables as a different type of "tag". The user will be able to select multiple "tags" of each type.
What I want is to select only the results in Cadastros table that are related with ALL the "tags" from the 3 different tables provided. Please note it's not an "OR" relation. It should only return the row from Cadastros if it has a matching link table row for EVERY "tag" provided.
Here is what I have so far:
SELECT Cadastro.*, Convenio.* FROM Cadastros AS Cadastro
INNER JOIN cadastros_convenios AS CadastrosConvenio ON(Cadastro.id = CadastrosConvenio.cadastro_id)
INNER JOIN Convenios AS Convenio ON (CadastrosConvenio.convenio_id = Convenio.id AND Convenio.id IN(2,3))
INNER JOIN cadastros_especialidades AS CadastrosEspecialidade ON (Cadastro.id = CadastrosEspecialidade.cadastro_id)
INNER JOIN Especialidades AS Especialidade ON(CadastrosEspecialidade.especialidade_id = Especialidade.id AND Especialidade.id IN(1))
INNER JOIN cadastros_facilidades AS CadastrosFacilidade ON (Cadastro.id = CadastrosFacilidade.cadastro_id)
INNER JOIN Facilidades AS Facilidade ON(CadastrosFacilidade.facilidade_id = Facilidade.id AND Facilidade.id IN(1,2))
GROUP BY Cadastro.id
HAVING COUNT(*) = 5;
I'm using the HAVING clause to try to filter the results based on the number of times it shows (meaning the number of times it has been successfully "INNER JOINED"). So in every case, the count should be equal to the number of different filters I added. So if I add 3 different "tags", the count should be 3. If I add 5 different tags, the count should be 5 and so on. It works fine for a single relation (a single pair of inner joins). When I add the other 2 relations it starts to lose control.
EDIT
Here is something that I believe is working (thanks #Tomalak for pointing out the solution with sub-queries):
SELECT Cadastro.*, Convenio.*, Especialidade.*, Facilidade.* FROM Cadastros AS Cadastro
INNER JOIN cadastros_convenios AS CadastrosConvenio ON(Cadastro.id = CadastrosConvenio.cadastro_id)
INNER JOIN Convenios AS Convenio ON (CadastrosConvenio.convenio_id = Convenio.id)
INNER JOIN cadastros_especialidades AS CadastrosEspecialidade ON (Cadastro.id = CadastrosEspecialidade.cadastro_id)
INNER JOIN Especialidades AS Especialidade ON(CadastrosEspecialidade.especialidade_id = Especialidade.id)
INNER JOIN cadastros_facilidades AS CadastrosFacilidade ON (Cadastro.id = CadastrosFacilidade.cadastro_id)
INNER JOIN Facilidades AS Facilidade ON(CadastrosFacilidade.facilidade_id = Facilidade.id)
WHERE
(SELECT COUNT(*) FROM cadastros_convenios WHERE cadastro_id = Cadastro.id AND convenio_id IN(1, 2, 3)) = 3
AND
(SELECT COUNT(*) FROM cadastros_especialidades WHERE cadastro_id = Cadastro.id AND especialidade_id IN(3)) = 1
AND
(SELECT COUNT(*) FROM cadastros_facilidades WHERE cadastro_id = Cadastro.id AND facilidade_id IN(2, 3)) = 2
GROUP BY Cadastro.id
But I'm concerned about performance. It looks like these 3 sub-queries in the WHERE clause are gonna be over-executed...
Another solution
It joins subsequent tables only if the previous joins were a success (if no rows match one of the joins, the next joins are gonna be joining an empty result-set) (thanks #DRapp for this one)
SELECT STRAIGHT_JOIN
Cadastro.*
FROM
( SELECT Qualify1.cadastro_id
from
( SELECT cc1.cadastro_id
FROM cadastros_convenios cc1
WHERE cc1.convenio_id IN (1, 2, 3)
GROUP by cc1.cadastro_id
having COUNT(*) = 3 ) Qualify1
JOIN
( SELECT ce1.cadastro_id
FROM cadastros_especialidades ce1
WHERE ce1.especialidade_id IN( 3 )
GROUP by ce1.cadastro_id
having COUNT(*) = 1 ) Qualify2
ON (Qualify1.cadastro_id = Qualify2.cadastro_id)
JOIN
( SELECT cf1.cadastro_id
FROM cadastros_facilidades cf1
WHERE cf1.facilidade_id IN (2, 3)
GROUP BY cf1.cadastro_id
having COUNT(*) = 2 ) Qualify3
ON (Qualify2.cadastro_id = Qualify3.cadastro_id) ) FullSet
JOIN Cadastros AS Cadastro
ON FullSet.cadastro_id = Cadastro.id
INNER JOIN cadastros_convenios AS CC
ON (Cadastro.id = CC.cadastro_id)
INNER JOIN Convenios AS Convenio
ON (CC.convenio_id = Convenio.id)
INNER JOIN cadastros_especialidades AS CE
ON (Cadastro.id = CE.cadastro_id)
INNER JOIN Especialidades AS Especialidade
ON (CE.especialidade_id = Especialidade.id)
INNER JOIN cadastros_facilidades AS CF
ON (Cadastro.id = CF.cadastro_id)
INNER JOIN Facilidades AS Facilidade
ON (CF.facilidade_id = Facilidade.id)
GROUP BY Cadastro.id
Emphasis mine
"It should only return the row from Cadastros if it has a matching row for EVERY "tag" provided."
"where there is a matching row"-problems are easily solved with EXISTS.
EDIT After some clarification, I see that using EXISTS is not enough. Comparing the actual row counts is necessary:
SELECT
*
FROM
Cadastros c
WHERE
(SELECT COUNT(*) FROM cadastros_facilidades WHERE cadastro_id = c.id AND id IN (2,3)) = 2
AND
(SELECT COUNT(*) FROM cadastros_especialidades WHERE cadastro_id = c.id AND id IN (1)) = 1
AND
(SELECT COUNT(*) FROM cadastros_facilidades WHERE cadastro_id = c.id AND id IN (1,2)) = 2
The indexes on the link tables should be (cadastro_id, id) for this query.
Depending on the size of the tables (records), WHERE-based subqueries, running a test on every row CAN SIGNIFICANTLY hit performance. I have restructured it which MIGHT better help, but only you would be able to confirm. The premise here is to have the first table based on getting distinct IDs that meet the criteria, join THAT set to the next qualifier criteria... joined to the FINAL set. Once that has been determined, use THAT to join to your main table and its subsequent links to get the details you are expecting. You also had an overall group by by the ID which will eliminate all other nested entries as found in the support details table.
All that said, lets take a look at this scenario. Start with the table that would be EXPECTED TO HAVE THE LOWEST RESULT SET to join to the next and next. if cadastros_convenios has IDs that match all the criteria include IDs 1-100, great, we know at MOST, we'll have 100 ids.
Now, these 100 entries are immediately JOINED to the 2nd qualifying criteria... of which, say it only matches ever other... for simplicity, we are now matched on 50 of the 100.
Finally, JOIN to the 3rd qualifier based on the 50 that qualified and you get 30 entries. So, within these 3 queries you are now filtered down to 30 entries with all the qualifying criteria handled up front. NOW, join to the Cadastros and then subsequent tables for the details based ONLY on the 30 that qualified.
Since your original query would eventually TRY EVERY "ID" for the criteria, why not pre-qualify it up front with ONE query and get just those that hit, then move on.
SELECT STRAIGHT_JOIN
Cadastro.*,
Convenio.*,
Especialidade.*,
Facilidade.*
FROM
( SELECT Qualify1.cadastro_id
from
( SELECT cc1.cadastro_id
FROM cadastros_convenios cc1
WHERE cc1.convenio_id IN (1, 2, 3)
GROUP by cc1.cadastro_id
having COUNT(*) = 3 ) Qualify1
JOIN
( SELECT ce1.cadastro_id
FROM cadastros_especialidades ce1
WHERE ce1.especialidade_id IN( 3 )
GROUP by ce1.cadastro_id
having COUNT(*) = 1 ) Qualify2
ON Qualify1.cadastro_id = Qualify2.cadastro_id
JOIN
( SELECT cf1.cadastro_id
FROM cadastros_facilidades cf1
WHERE cf1.facilidade_id IN (2, 3)
GROUP BY cf1.cadastro_id
having COUNT(*) = 2 ) Qualify3
ON Qualify2.cadastro_id = Qualify3.cadastro_id ) FullSet
JOIN Cadastros AS Cadastro
ON FullSet.Cadastro_id = Cadastro.Cadastro_id
INNER JOIN cadastros_convenios AS CC
ON Cadastro.id = CC.cadastro_id
INNER JOIN Convenios AS C
ON CC.convenio_id = C.id
INNER JOIN cadastros_especialidades AS CE
ON Cadastro.id = CE.cadastro_id
INNER JOIN Especialidades AS E
ON CE.especialidade_id = E.id
INNER JOIN cadastros_facilidades AS CF
ON Cadastro.id = CF.cadastro_id
INNER JOIN Facilidades AS F
ON CF.facilidade_id = F.id
I want to list all teams, then count how many times each team appears in my second table. Some users are not in the second table, so the count would be zero. The problem is when I use the count function it only lists users that are in the second table. How do I count, and list 0 if they dont appear in second table?
$query = "SELECT t.id as id, t.t_name as name, t.t_city as city, (count(pd.rs)) as pd FROM #__bl_regions as r, #__bl_teams as t, #__bl_paid as pd WHERE t.id != 0 AND t.id != 1 AND (t.id IN($teams)) AND r.id = ".$t_id." AND pd.rs = 1 AND pd.t_id = ".$t_id." ORDER BY t.t_name";
$db->setQuery($query);
$players = $db->loadObjectList();
Tried Left Join
Ok, so because I am including 3 tables I believe I have to use 2 queries. Same thing is still happening, only listing schools with count. #__bl_paid is the table I want to count, #__bl_teams is the table I want to list all.
$query = "SELECT t.id as id FROM #__bl_regions as r, #__bl_teams as t WHERE t.id != 0 AND t.id != 1 AND (t.id IN($teams)) AND r.id = ".$t_id." ORDER BY t.t_name";
$db->setQuery($query);
$players1 = $db->loadResultArray();
if ($players1){
$players2 = implode(",",$players1);
}else{
$players2 = 0;
}
$query = "SELECT t.id as id, t.t_name as name, t.t_city as city, coalesce((count(pd.rs)),0) as pdc FROM #__bl_paid as pd LEFT JOIN #__bl_teams as t ON pd.t_id = t.id WHERE (t.id IN($players2)) ORDER BY t.t_name";
$db->setQuery($query);
$players = $db->loadObjectList();
You need two pieces to get what you want:
an outer join -- left join is the typical MySQL version used
a way to detect if a column is null, and if so, supply a different value. I often use coalesce
An inner join drops rows that don't have matches in the other table; a left join is similar to an inner join, but preserves all the rows in the left table, and supplies columns with null if there's no matching row in the right table.
Here's an example:
select column1, coalesce(column2, 0) as `newcolumn2`
from lefttable
left join righttable
on lefttable.something = righttable.something
What this will do: whenever column2 is null, it will be replaced with 0.
You should use LEFT JOIN statement instead of INNER JOIN.