If I have a table similar to the following:
MyIds MyValues
----- --------
1 Meat
1 Fruit
1 Veggies
2 Fruit
2 Meat
3 Meat
How do I create a query such that if I am given an arbitrary list of distinct MyValues, it will give me all the MyIds that match all of MyValues.
Example: If list of MyValues contained [Meat, Fruit, Veggies], I'd like to get MyIds of 1 back because 1 has an entry in the table for each value in MyValues.
I know that this can be done with an INTERSECT if I'm given a specific list of MyValues. But I don't know how it can be done with an arbitrary number of MyValues
You need to count the total number of instances of each MyID which satisfies the condition and that it matches to the number of value supplied in the IN clause.
SELECT MyID
FROM tableName
WHERE MyValues IN ('Meat', 'Fruit', 'Veggies')
GROUP BY MyID
HAVING COUNT(DISTINCT myVAlues) = 3
SQLFiddle Demo
A big question is how the list is being represented. The following gives one approach, representing the list in a table:
with l as (
select 'Meat' as el union all
select 'Fruit' union all
select 'Veggies'
)
select MyId
from t join
l
on t.MyValues = l.el
group by MyId
having count(distinct t.myvalues) = (select count(*) from l)
Related
I have a table as follows
groupCode
ProductIdentifier
1
dental
1
membership
2
dental
2
vision
2
health
3
dental
3
vision
I need to find out if a specific groupCode have "dental", "vision" and "health" (all three simultaneously)
The expected result is code 2
What I need to identify is if groupCode 2 has the three products (or two, or whatever the user enters). This is part of a huge kitchen sink query I'm building.
I'm doing
SELECT groupCode
FROM dbo.table
WHERE (productIdentifier = N'dental')
AND (productIdentifier = N'vision')
AND (productIdentifier = N'health')
AND (groupCode = 2)
But clearly is wrong because it's not working.
I tried to do something like its described here but it didn't return a result for me:
Select rows with same id but different value in another column
Thanks.
If each of 'dental','vision' and 'health' occur only once per group identifier, you can group by group identifier and filter by the groups having count(*) = 3:
WITH
-- your input ..
indata(groupCode,ProductIdentifier) AS (
SELECT 1,'dental'
UNION ALL SELECT 1,'membership'
UNION ALL SELECT 2,'dental'
UNION ALL SELECT 2,'vision'
UNION ALL SELECT 2,'health'
UNION ALL SELECT 3,'dental'
UNION ALL SELECT 3,'vision'
)
-- real query starts here ...
SELECT
groupcode
FROM indata
WHERE productidentifier IN ('dental','vision','health')
GROUP BY
groupcode
HAVING COUNT(*) = 3;
-- out groupcode
-- out -----------
-- out 2
As per Marcothesane answer, if you know the groupCode (2) and the number of products (vision, dental and health), 3 in this case, and you need to confirm if that code has those three specific products, this will work for you:
SELECT COUNT(groupCode) AS totalRecords
FROM dbo.table
WHERE (groupCode = 2) AND (productIdentifier IN ('dental', 'vision', 'health'))
HAVING (COUNT(groupCode) = 3)
This will return 3 (number of records = number of products).
Its basically's Marcothesane answer in a way you can "copy/paste" to your code by just changing the table name. You should accept Marcothesane answer.
I have a table with the following columns:
ID_group, ID_elements
For example with the following records:
1, 1
1, 2
2, 2
2, 4
2, 5
2, 6
3, 7
And I have sets of the elements, for example: 1,2,5; 1,5,2; 1,2,4; 2,7;
I need to check (true or false) that exist a common group for the pairs of adjacent elements.
For example elements:
1,2,5 -> true [i.e. elements 1,2 has common group 1 and elements 2,5 has common group 2]
1,5,2 -> false [i.e. 1,5 do not have a common group unlike 5,2 (but the result is false due to 1,5 - false)]
1,2,4 -> true
2,7 -> false
First, we need a list of pairs. We can get this by taking your set as an array, turning each element into a row with unnest and then making pairs by matching each row with its previous row using lag.
with nums as (
select *
from unnest(array[1,2,5]) i
)
select lag(i) over() a, i b
from nums
offset 1;
a | b
---+---
1 | 2
2 | 5
(2 rows)
Then we join each pair with each matching row. To avoid counting duplicate data rows twice, we count only the distinct rows.
with nums as (
select *
from unnest(array[1,2,5]) i
), pairs as (
select lag(i) over() a, i b
from nums
offset 1
)
select
count(distinct(id_group,id_elements)) = (select count(*) from pairs)
from pairs
join foo on foo.id_group = a and foo.id_elements = b;
This works on any size array.
dbfiddle
Your query to check if elements in a set evaluate to true or not can be done via procedures/function. Set representation can be taken as a string and then splitting it to substring then returning the required result can use a record for multiple entries. For sql query, below is a sample that can be used as a workaround, you can try changing the below query based on your requirement.
select case when ( Select count(*)
from ( SELECT
id_group, count(distinct id_elements)
from table where
id_group
in (1,2,5)
group by ID_group having
id_elements
in (1,2,5)) =3 ) then "true" else "false"
end) from table;
#Schwern, thank you, it helped. But I have changed the condition join foo on foo.id_group = a, because as I understand, a is element's ID, not group's. I have changed the following section:
join foo fA on fA.id_elements = a
join foo fB on fB.id_elements = b and fA.group_id = fB.group_id;
I have the following table which contains ID's and UserId's.
ID UserID
1111 11
1111 300
1111 51
1122 11
1122 22
1122 3333
1122 45
I'm trying to count the distinct number of 'IDs' so that I get a total, but I also need to get a total of ID's that have also seen the that particular ID as well... To get the ID's, I've had to perform a subquery within another table to get ID's, I then pass this into the main query... Now I just want the results to be displayed as follows.
So I get a Total No for ID and a Total Number for Users ID - Also would like to add another column to get average as well for each ID
TotalID Total_UserID Average
2 7 3.5
If Possible I would also like to get an average as well, but not sure how to calculate that. So I would need to count all the 'UserID's for an ID add them altogether and then find the AVG. (Any Advice on that caluclation would be appreciated.)
Current Query.
SELECT DISTINCT(a.ID)
,COUNT(b.UserID)
FROM a
INNER JOIN b ON someID = someID
WHERE a.ID IN ( SELECT ID FROM c WHERE GROUPID = 9999)
GROUP BY a.ID
Which then Lists all the IDs and COUNT's all the USERID.. I would like a total of both columns. I've tried warpping the query in a
SELECT COUNT(*) FROM (
but this only counts the ID's which is great, but how do I count the USERID column as well
You seem to want this:
SELECT COUNT(DISTINCT a.ID), COUNT(b.UserID),
COUNT(b.UserID) * 1.0 / COUNT(DISTINCT a.ID)
FROM a INNER JOIN
b
ON someID = someID
WHERE a.ID IN ( SELECT ID FROM c WHERE GROUPID = 9999);
Note: DISTINCT is not a function. It applies to the whole row, so it is misleading to put an expression in parentheses after it.
Also, the GROUP BY is unnecessary.
The 1.0 is because SQL Server does integer arithmetic and this is a simple way to convert a number to a decimal form.
You can use
SELECT COUNT(DISTINCT a.ID) ...
to count all distinct values
Read details here
I believe you want this:
select TotalID,
Total_UserID,
sum(Total_UserID+TotalID) as Total,
Total_UserID/TotalID as Average
from (
SELECT (DISTINCT a.ID) as TotalID
,COUNT(b.UserID) as Total_UserID
FROM a
INNER JOIN b ON someID = someID
WHERE a.ID IN ( SELECT ID FROM c WHERE GROUPID = 9999)
) x
I have a table like this -
id cat_id
1 1,2
2 1,3
3 5,3,11
And I want to get count of those rows which have cat_id = 1 (For Ex- in uppar case it count is 2). How can I do it ?
You can use LIKE, for example :
SELECT COUNT(*)
FROM tbl
WHERE cat_id LIKE '1,%'
if string is starting from something different ??? like 5 asked by #POHH :
SELECT COUNT(*)
FROM tbl
WHERE cat_id LIKE '%,1,%'
OR cat_id LIKE '1,%'
OR cat_id LIKE '%,1'
To get count of cat_id = 1
select count(*)
from (
select unnest(string_to_array(cat_id, ','))::int rowz
from foo ) t
where rowz = 1
To get all cat_id and it's total count
select rowz cat_id,count(*) total_count from (
select unnest(string_to_array(cat_id, ','))::int rowz
from foo ) t
group by rowz
order by cat_id
You can convert the comma separated list to an array and then use the ANY operator to search for the desired cat_id value:
select count(*)
from foo
where 1 = any (string_to_array(cat_id, ',')::int[])
But you should really consider fixing your data model. Storing comma separate lists is almost always a bad choice. If you have to de-normalize, using an array is the better choice in Postgres.
I have a table in my database:
Name | Element
1 2
1 3
4 2
4 3
4 5
I need to make a query that for a number of arguments will select the value of Name that has on the right side these and only these values.
E.g.:
arguments are 2 and 3, the query should return only 1 and not 4 (because 4 also has 5). For arguments 2,3,5 it should return 4.
My query looks like this:
SELECT name FROM aggregations WHERE (element=2 and name in (select name from aggregations where element=3))
What do i have to add to this query to make it not return 4?
A simple way to do it:
SELECT name
FROM aggregations
WHERE element IN (2,3)
GROUP BY name
HAVING COUNT(element) = 2
If you want to add more, you'll need to change both the IN (2,3) part and the HAVING part:
SELECT name
FROM aggregations
WHERE element IN (2,3,5)
GROUP BY name
HAVING COUNT(element) = 3
A more robust way would be to check for everything that isn't not in your set:
SELECT name
FROM aggregations
WHERE NOT EXISTS (
SELECT DISTINCT a.element
FROM aggregations a
WHERE a.element NOT IN (2,3,5)
AND a.name = aggregations.name
)
GROUP BY name
HAVING COUNT(element) = 3
It's not very efficient, though.
Create a temporary table, fill it with your values and query like this:
SELECT name
FROM (
SELECT DISTINCT name
FROM aggregations
) n
WHERE NOT EXISTS
(
SELECT 1
FROM (
SELECT element
FROM aggregations aii
WHERE aii.name = n.name
) ai
FULL OUTER JOIN
temptable tt
ON tt.element = ai.element
WHERE ai.element IS NULL OR tt.element IS NULL
)
This is more efficient than using COUNT(*), since it will stop checking a name as soon as it finds the first row that doesn't have a match (either in aggregations or in temptable)
This isn't tested, but usually I would do this with a query in my where clause for a small amount of data. Note that this is not efficient for large record counts.
SELECT ag1.Name FROM aggregations ag1
WHERE ag1.Element IN (2,3)
AND 0 = (select COUNT(ag2.Name)
FROM aggregatsions ag2
WHERE ag1.Name = ag2.Name
AND ag2.Element NOT IN (2,3)
)
GROUP BY ag1.name;
This says "Give me all of the names that have the elements I want, but have no records with elements I don't want"