I have the following table
ident
name
count
A1
X
1
A1
Y
2
A1
X
6
A2
X
2
A2
Z
3
What i need is a new table which should look like:
ident
X
Y
Z
A1
7
2
0
A2
2
0
3
so it should give me for every distinct id a sum of all the existing names.
But the columns with are build out of the names should be build automaticly.
i have try
SELECT
ident ,
MAX(CASE WHEN (name = 'X') THEN 1 ELSE NULL END) AS X
FROM
mytable
GROUP BY ident
ORDER BY ident
but with this code i have to make the columns and just can set the sum to 0 or 1.
Thx
Use conditional aggregation, which in Postgres looks like this:
select ident,
sum(count) filter (where name = 'X') as x_sum,
sum(count) filter (where name = 'Y') as y_sum,
sum(count) filter (where name = 'Z') as z_sum
from mytable
group by ident;
The FILTER clause is Standard SQL, but Postgres is one of the few databases that actually supports it. You can, of course, do the same thing with CASE expressions, but FILTER gives the optimizer more hints that can help performance (and many people find it cleaner).
you are looking for sum of count:
SELECT
ident ,
SUM(CASE WHEN (name = 'X') THEN count ELSE NULL END) AS X,
SUM(CASE WHEN (name = 'Y') THEN count ELSE NULL END) AS Y,
SUM(CASE WHEN (name = 'Z') THEN count ELSE NULL END) AS Z
FROM
mytable
GROUP BY ident
ORDER BY ident
Related
Lets say I have the following table:
FKEY A B C D E F
'A' 1 0 1 0 1 0
'A' 0 1 1 1 0 0
Now i want to make a group by FKEY but I just want to know if the A-F columns has 1 in one, all or none of the grouped rows.. The resulton the above table would be:
FKEY A B C D E F
'A' S S A S S N
..where S is "some", A is "all" and N is "none".
What would be the best approach to make this query. I could so some nested queries, but isnt there a smarter way?
In my real life data, the 1's and 0's are actually DATETIME and NULL's
You can use case and aggregation:
select fkey,
(case when sum(a) = 0 then 'N'
when sum(a) = count(*) then 'A'
else 'S'
end) as a,
(case when sum(b) = 0 then 'N'
when sum(b) = count(*) then 'A'
else 'S'
end) as b,
. . .
from t
group by fkey;
The above assumes that the values are only 0 and 1. If that is the case, you can actually phrase this as:
(case when max(a) = 0 then 'N'
when min(a) = 1 then 'A'
else 'S'
end) as a,
You mentioned that your 0 and 1 are actually null or non null dates. Here's a modified version of Gordon's query that caters for that:
select fkey,
(case when count(datecol) = 0 then 'all dates are null'
when count(datecol) = count(*) then 'all dates are filled'
else 'some are null, some filled'
end) as a,
...
from t
group by fkey;
COUNT(null) is 0, COUNT('2001-01-01') is 1, COUNT(*) is the row count independent of any variable. Hence, if our count of the dates was 0, all must be null. If the count of the dates was equal to the count of the rows, then all must be filled with some value, otherwise it's a mix
I have a historization table called CUR_VALID. This table looks something like this:
ID CUR_VALID
1 N
1 N
1 Y
2 N
2 Y
3 Y
For every ID there needs to be one Y. If there is no Y or multiple Y there is something wrong. The statment for checking if there are multiple Y I already got. Now I only need to check for every ID if there is one Y existing. Im just not sure how to do that. This is what I have so far. So how do I check if the Value 'Y' exists?
SELECT Count(1) [Number of N]
,MAX(CUR_VALID = 'N')
,[BILL_ID]
,[BILL_MONTH]
,[BILL_SRC_ID]
FROM db.dbo.table
GROUP BY [BILL_ID]
,[BILL_MONTH]
,[BILL_SRC_ID]
Having MAX(CUR_VALID = 'N') > 1
Why are you fiddling with 'N' when you are interested in 'Y'?
Use conditional aggregation to get the count of the value your are interested in.
SELECT
COUNT(*) AS number_of_all,
COUNT(CASE WHEN cur_valid = 'Y' THEN 1 END) AS number_of_y,
COUNT(CASE WHEN cur_valid = 'N' THEN 1 END) AS number_of_n,
bill_id,
bill_month,
bill_src_id,
FROM db.dbo.table
GROUP BY bill_id, bill_month, bill_src_id;
Add a HAVING clause in order to get only valid
HAVING COUNT(CASE WHEN cur_valid = 'Y' THEN 1 END) = 1
or invalid
HAVING COUNT(CASE WHEN cur_valid = 'Y' THEN 1 END) <> 1
bills.
The following query will give you the list of id for which your integrity condition is not met: For every ID there needs to be one Y. If there is no Y or multiple Y there is something wrong.
select T1.id from table T1 where (select count(*) from table T2 where T2.id=T1.id and T2.CUR_VALID='Y')!=1
This query returns both not having at least one 'Y' value and more than one 'Y' value ID's.
First, sum up the Y values and relate to each id, then select not 1 ones from that table.
select * from (
select ID, SUM(case when CUR_VALID = 'Y' then 1 else 0 end) as CNT
from table
group by ID
) b where b.CNT <> 1
DBFiddle
As I understand, you want to get all the id for which your integrity check passes. And integrity check for you means, there is only one row with CUR_VALID value equal to Y in the CUR_VALID table.
This can be achieved by a group by clause:
select id from CUR_VALID
where CUR_VALID.CUR_VALID = 'Y'
group by id
having count(CUR_VALID.CUR_VALID) = 1;
I am writing data to a table and allocating a "group-id" for each batch of data that is written. To illustrate, consider the following table.
GroupId Value
------- -----
1 a
1 b
1 c
2 a
2 b
3 a
3 b
3 c
3 d
In this example, there are three groups of data, each with similar but varying values.
How do I query this table to find a group that contains a given set of values? For instance, if I query for (a,b,c) the result should be group 1. Similarly, a query for (b,a) should result in group 2, and a query for (a, b, c, e) should result in the empty set.
I can write a stored procedure that performs the following steps:
select distinct GroupId from Groups -- and store locally
for each distinct GroupId: perform a set-difference (except) between the input and table values (for the group), and vice versa
return the GroupId if both set-difference operations produced empty sets
This seems a bit excessive, and I hoping to leverage some other commands in SQL to simplify. Is there a simpler way to perform a set-comparison in this context, or to select the group ID that contains the exact input values for the query?
This is a set-within-sets query. I like to solve it using group by and having:
select groupid
from GroupValues gv
group by groupid
having sum(case when value = 'a' then 1 else 0 end) > 0 and
sum(case when value = 'b' then 1 else 0 end) > 0 and
sum(case when value = 'c' then 1 else 0 end) > 0 and
sum(case when value not in ('a', 'b', 'c') then 1 else - end) = 0;
The first three conditions in the having clause check that each elements exists. The last condition checks that there are no other values. This method is quite flexible, for various exclusions and inclusion conditions on the values you are looking for.
EDIT:
If you want to pass in a list, you can use:
with thelist as (
select 'a' as value union all
select 'b' union all
select 'c'
)
select groupid
from GroupValues gv left outer join
thelist
on gv.value = thelist.value
group by groupid
having count(distinct gv.value) = (select count(*) from thelist) and
count(distinct (case when gv.value = thelist.value then gv.value end)) = count(distinct gv.value);
Here the having clause counts the number of matching values and makes sure that this is the same size as the list.
EDIT:
query compile failed because missing the table alias. updated with right table alias.
This is kind of ugly, but it works. On larger datasets I'm not sure what performance would look like, but the nested instances of #GroupValues key off GroupID in the main table so I think as long as you have a good index on GroupID it probably wouldn't be too horrible.
If Object_ID('tempdb..#GroupValues') Is Not Null Drop Table #GroupValues
Create Table #GroupValues (GroupID Int, Val Varchar(10));
Insert #GroupValues (GroupID, Val)
Values (1,'a'),(1,'b'),(1,'c'),(2,'a'),(2,'b'),(3,'a'),(3,'b'),(3,'c'),(3,'d');
If Object_ID('tempdb..#FindValues') Is Not Null Drop Table #FindValues
Create Table #FindValues (Val Varchar(10));
Insert #FindValues (Val)
Values ('a'),('b'),('c');
Select Distinct gv.GroupID
From (Select Distinct GroupID
From #GroupValues) gv
Where Not Exists (Select 1
From #FindValues fv2
Where Not Exists (Select 1
From #GroupValues gv2
Where gv.GroupID = gv2.GroupID
And fv2.Val = gv2.Val))
And Not Exists (Select 1
From #GroupValues gv3
Where gv3.GroupID = gv.GroupID
And Not Exists (Select 1
From #FindValues fv3
Where gv3.Val = fv3.Val))
I find it hard to word what I am trying to achieve. I have a table that looks like this:
user char
---------
a | x
a | y
a | z
b | x
b | x
b | y
c | y
c | y
c | z
How do I write a query that would return me the following result?
user x y z
-------
a |1|1|1|
b |2|1|0|
c |0|2|1|
the numbers represent the no of occurences of chars in the original table
EDIT:
The chars values are unknown hence the solution cannot be restricted to these values. Sorry for not mentioning it sooner. I am using Oracle DB but planning to use JPQL to construct the query.
select user,
sum(case when char='x' then 1 else 0 end) as x,
sum(case when char='y' then 1 else 0 end) as y,
sum(case when char='z' then 1 else 0 end) as z
from thetable
group by user
Or, if you don't mind stacking vertically, this solution will give you a solution that works even with unknown sets of characters:
select user, char, count(*) as count
from thetable
group by user, char
This will give you:
user char count
a x 1
a y 1
a z 1
b x 2
If you want to string an unknown set of values out horizontally (as in your demo output), you're going to need to get into dynamic queries... the SQL standard is not designed to generate output with an unknown number of columns... Hope this is helpful!
Another option, using T-SQL PIVOT (SQL SERVER 2005+)
select *
from userchar as t
pivot
(
count([char]) for [char] in ([x],[y],[z])
) as p
Result:
user x y z
----------- ----------- ----------- -----------
a 1 1 1
b 2 1 0
c 0 2 1
(3 row(s) affected)
Edit ORACLE:
You can build a similar PIVOT table using ORACLE.
The tricky part is that you need the right column names in the IN ([x],[y],[z],...) statement. It shouldn't be too hard to construct the SQL query in code, getting a (SELECT DISTINCT [char] from table) and appending it to your base query.
Pivoting rows into columns dynamically in Oracle
If you don't know the exact values on which to PIVOT, you'll either need to do something procedural or mess with dynamic sql (inside an anonymous block), or use XML (in 11g).
If you want the XML approach, it would be something like:
with x as (
select 'a' as usr, 'x' as val from dual
union all
select 'a' as usr, 'y' as val from dual
union all
select 'b' as usr, 'x' as val from dual
union all
select 'b' as usr, 'x' as val from dual
union all
select 'c' as usr, 'z' as val from dual
)
select * from x
pivot XML (count(val) as val_cnt for val in (ANY))
;
Output:
USR VAL_XML
a <PivotSet><item><column name = "VAL">x</column><column name = "VAL_CNT">1</column></item><item><column name = "VAL">y</column><column name = "VAL_CNT">1</column></item></PivotSet>
b <PivotSet><item><column name = "VAL">x</column><column name = "VAL_CNT">2</column></item></PivotSet>
c <PivotSet><item><column name = "VAL">z</column><column name = "VAL_CNT">1</column></item></PivotSet>
Hope that helps
I will keep this simple- I would like to know if there is a good way to select all the values in a column when it never has a null in another column. For example.
A B
----- -----
1 7
2 7
NULL 7
4 9
1 9
2 9
From the above set I would just want 9 from B and not 7 because 7 has a NULL in A. Obviously I could wrap this as a subquery and USE the IN clause etc. but this is already part of a pretty unique set and am looking to keep this efficient.
I should note that for my purposes this would only be a one-way comparison... I would only be returning values in B and examining A.
I imagine there is an easy way to do this that I am missing, but being in the thick of things I don't see it right now.
You can do something like this:
select *
from t
where t.b not in (select b from t where a is null);
If you want only distinct b values, then you can do:
select b
from t
group by b
having sum(case when a is null then 1 else 0 end) = 0;
And, finally, you could use window functions:
select a, b
from (select t.*,
sum(case when a is null then 1 else 0 end) over (partition by b) as NullCnt
from t
) t
where NullCnt = 0;
The query below will only output one column in the final result. The records are grouped by column B and test if the record is null or not. When the record is null, the value for the group will increment each time by 1. The HAVING clause filters only the group which has a value of 0.
SELECT B
FROM TableName
GROUP BY B
HAVING SUM(CASE WHEN A IS NULL THEN 1 ELSE 0 END) = 0
If you want to get all the rows from the records, you can use join.
SELECT a.*
FROM TableName a
INNER JOIN
(
SELECT B
FROM TableName
GROUP BY B
HAVING SUM(CASE WHEN A IS NULL THEN 1 ELSE 0 END) = 0
) b ON a.b = b.b