This is a question on a test. I have a table with two columns. I want to pivot on one of them and output the other.
Table structure:
(Name varchar(10), Age int)
I need output with age values as columns and Names listed below each age value.
From searching, I only see examples where there is at least one other column that is used to "group by" for want of a better term. In other words, there is a common factor in each row of the output. My problem does not have this property.
I tried:
SELECT
[agevalue1], [agevalue2], [agevalue3], [agevalue4]
FROM
(SELECT Name, Age FROM MyClass) AS SourceTable
PIVOT
(MAX(Name)
FOR Age IN ([agevalue1], [agevalue2], [agevalue3], [agevalue4])
) AS PivotTable;
I specified agevalue* as a string, i.e. in quotes. I got the column headings alright but a row of NULLS below them.
P.S.: The solution does not need to use pivot but I couldn't think of an alternative approach.
Sample Data:
Name Age
Bob 11
Rick 25
Nina 30
Sam 11
Cora 16
Rachel 25
Desired output:
11 16 25 30
Bob Cora Rick Nina
Sam NULL Rachel NULL
Try this :
with tab as
(
Select 'A' Name, 10 Age union all
Select 'B',11 union all
Select 'c',10 union all
Select 'D',11 union all
Select 'E',11 union all
Select 'F',11
)
select distinct
Age
, stuff((
select ',' + g.Name
from tab g
where g.age = g1.age
order by g.age
for xml path('')
),1,1,'') as Names_With_Same_Age
from tab g1
group by g1.age,Name
To group these together in one row:
11 16 25 30
Bob Cora Rick Nina
and separate them from another set, like:
11 16 25 30
Sam NULL Rachel NULL
they must have something different between each row, since doing a MAX(Name) would get you only one Name for each Age.
This query creates a number that links a particular Age to a row number and then pivots the result. As you said, the PIVOT will group by all columns not referenced in the PIVOT function, so it will group by this row indexer, separating the values like you wanted.
;WITH IndexedClass AS
(
SELECT
M.Name,
M.Age,
-- The ordering will determine which person goes first for each Age
RowIndexer = ROW_NUMBER() OVER (PARTITION BY M.Age ORDER BY M.Name)
FROM
MyClass AS M
)
SELECT
P.[11],
P.[16],
P.[25],
P.[30]
FROM
IndexedClass AS I
PIVOT (
MAX(I.Name) FOR I.Age IN ([11], [16], [25], [30])
) AS P
Related
I have this table:
key
value
team
number
score
35
team
5
and I want to create the above table:
score
team
35
5
meaning I want to make 2 pivots. Is there a way to do it in one query?
the following code doesn't work in bigquery:
with a as(
select 'score' as key, 35 as value, 'team' as team, 5 as number
)
select *
from a
pivot (any_value(value) for key in ('score'))
pivot (any_value(number) for team in ('team'))
See simple fix below
select * from (
select * from your_table
pivot (any_value(value) for key in ('score'))
)
pivot (any_value(number) for team in ('team'))
with output like below
I looked at other examples, but I don't know enough about SQL to adapt it to my needs. I have a table that looks like this:
ID Month NAME COUNT First LAST TOTAL
------------------------------------------------------
1 JAN2013 fred 4
2 MAR2013 fred 5
3 APR2014 fred 1
4 JAN2013 Tom 6
5 MAR2014 Tom 1
6 APR2014 Tom 1
This could be in separate queries, but I need 'First' to equal the first month that a particular name is used, so every row with fred would have JAN2013 in the first field for example. I need the 'Last" column to equal the month of the last record of each name, and finally I need the 'total' column to be the sum of all the counts for each name, so in each row that had fred the total would be 10 in this sample data. This is over my head. Can one of you assist?
This is crude but should do the trick. I renamed your fields a bit because you are using a bunch of "RESERVED" sql words and that is bad form.
;WITH cte as
(
Select
[NAME]
,[nmCOUNT]
,ROW_NUMBER() over (partition by NAME order by txtMONTH ASC) as 'FirstMonth'
,ROW_NUMBER() over (partition by NAME order by txtMONTH DESC) as 'LastMonth'
,SUM([nmCOUNT]) as 'TotNameCount'
From Table
Group by NAME, [nmCOUNT]
)
,cteFirst as
(
Select
NAME
,[nmCOUNT]
,[TotNameCount]
,[txtMONTH] as 'ansFirst'
From cte
Where FirstMonth = 1
)
,cteLast as
(
Select
NAME
,[txtMONTH] as 'ansLast'
From cte
Where LastMonth = 1
Select c.NAME, c.nmCount, c.ansFirst, l.ansLast, c.TotNameCount
From cteFirst c
LEFT JOIN cteLast l on c.NAME = l.NAME
I am dealing with a poorly designed database column which has values like this
ID cid Score
1 1 3 out of 3
2 1 1 out of 5
3 2 3 out of 6
4 3 7 out of 10
I want the aggregate sum and percentage of Score column grouped on cid like this
cid sum percentage
1 4 out of 8 50
2 3 out of 6 50
3 7 out of 10 70
How do I do this?
You can try this way :
select
t.cid
, cast(sum(s.a) as varchar(5)) +
' out of ' +
cast(sum(s.b) as varchar(5)) as sum
, ((cast(sum(s.a) as decimal))/sum(s.b))*100 as percentage
from MyTable t
inner join
(select
id
, cast(substring(score,0,2) as Int) a
, cast(substring(score,charindex('out of', score)+7,len(score)) as int) b
from MyTable
) s on s.id = t.id
group by t.cid
[SQLFiddle Demo]
Redesign the table, but on-the-fly as a CTE. Here's a solution that's not as short as you could make it, but that takes advantage of the handy SQL Server function PARSENAME. You may need to tweak the percentage calculation if you want to truncate rather than round, or if you want it to be a decimal value, not an int.
In this or most any solution, you have to count on the column values for Score to be in the very specific format you show. If you have the slightest doubt, you should run some other checks so you don't miss or misinterpret anything.
with
P(ID, cid, Score2Parse) as (
select
ID,
cid,
replace(Score,space(1),'.')
from scores
),
S(ID,cid,pts,tot) as (
select
ID,
cid,
cast(parsename(Score2Parse,4) as int),
cast(parsename(Score2Parse,1) as int)
from P
)
select
cid, cast(round(100e0*sum(pts)/sum(tot),0) as int) as percentage
from S
group by cid;
I'm trying to display the amount of table entries with the same name and the unique ID's associated with each of those entries.
So I have a table like so...
Table Names
------------------------------
ID Name
0 John
1 Mike
2 John
3 Mike
4 Adam
5 Mike
I would like the output to be something like:
Name | Count | IDs
---------------------
Mike 3 1,3,5
John 2 0,2
Adam 1 4
I have the following query which does this except display all the unique ID's:
select name, count(*) as ct from names group by name order by ct desc;
select name,
count(id) as ct,
group_concat(id) as IDs
from names
group by name
order by ct desc;
You can use GROUP_CONCAT for that
Depending on version of MSSQL you are using (2005+), you can use the FOR XML PATH option.
SELECT
Name,
COUNT(*) AS ct,
STUFF((SELECT ',' + CAST(ID AS varchar(MAX))
FROM names i
WHERE i.Name = n.Name FOR XML PATH(''))
, 1, 1, '') as IDs
FROM names n
GROUP BY Name
ORDER BY ct DESC
Closest thing to group_concat you'll get on MSSQL unless you use the SQLCLR option (which I have no experience doing). The STUFF function takes care of the leading comma. Also, you don't want to alias the inner SELECT as it will wrap the element you're selecting in an XML element (alias of TD causes each element to return as <TD>value</TD>).
Given the input above, here's the result I get:
Name ct IDs
Mike 3 1,3,5
John 2 0,2
Adam 1 4
EDIT: DISCLAIMER
This technique will not work as intended for string fields that could possibly contain special characters (like ampersands &, less than <, greater than >, and any number of other formatting characters). As such, this technique is most beneficial for simple integer values, although can still be used for text if you are ABSOLUTELY SURE there are no special characters that would need to be escaped. As such, read the solution posted HERE to ensure these characters get properly escaped.
Here is another SQL Server method, using recursive CTE:
Link to SQLFiddle
; with MyCTE(name,ids, name_id, seq)
as(
select name, CAST( '' AS VARCHAR(8000) ), -1, 0
from Data
group by name
union all
select d.name,
CAST( ids + CASE WHEN seq = 0 THEN '' ELSE ', ' END + cast(id as varchar) AS VARCHAR(8000) ),
CAST( id AS int),
seq + 1
from MyCTE cte
join Data d
on cte.name = d.name
where d.id > cte.name_id
)
SELECT name, ids
FROM ( SELECT name, ids,
RANK() OVER ( PARTITION BY name ORDER BY seq DESC )
FROM MyCTE ) D ( name, ids, rank )
WHERE rank = 1
I have one table named GUYS(ID,NAME,PHONE) and i need to add a count of how many guys have the same name and at the same time show all of them so i can't group them.
example:
ID NAME PHONE
1 John 335
2 Harry 444
3 James 367
4 John 742
5 John 654
the wanted output should be
ID NAME PHONE COUNT
1 John 335 3
2 Harry 444 1
3 James 367 1
4 John 742 3
5 John 654 3
how could i do that? i only manage to get lot of guys with different counts.
thanks
Update for 8.0+: This answer was written well before MySQL version 8, which introduced window functions with mostly the same syntax as the existing ones in Oracle.
In this new syntax, the solution would be
SELECT
t.name,
t.phone,
COUNT('x') OVER (PARTITION BY t.name) AS namecounter
FROM
Guys t
The answer below still works on newer versions as well, and in this particular case is just as simple, but depending on the circumstances, these window functions are way easier to use.
Older versions: Since MySQL, until version 8, didn't have analytical functions like Oracle, you'd have to resort to a sub-query.
Don't use GROUP BY, use a sub-select to count the number of guys with the same name:
SELECT
t.name,
t.phone,
(SELECT COUNT('x') FROM Guys ct
WHERE ct.name = t.name) as namecounter
FROM
Guys t
You'd think that running a sub-select for every row would be slow, but if you've got proper indexes, MySQL will optimize this query and you'll see that it runs just fine.
In this example, you should have an index on Guys.name. If you have multiple columns in the where clause of the subquery, the query would probably benefit from a single combined index on all of those columns.
Use an aggregate Query:
select g.ID, g.Name, g.Phone, count(*) over ( partition by g.name ) as Count
from
Guys g;
You can still use a GROUP BY for the count, you just need to JOIN it back to your original table to get all the records, like this:
select g.ID, g.Name, g.Phone, gc.Count
from Guys g
inner join (
select Name, count(*) as Count
from Guys
group by Name
) gc on g.Name = gc.Name
In Oracle DB you can use
SELECT ID,NAME,PHONE,(Select COUNT(ID)From GUYS GROUP BY Name)
FROM GUYS ;
DECLARE #tbl table
(ID int,NAME varchar(20), PHONE int)
insert into #tbl
select
1 ,'John', 335
union all
select
2 ,'Harry', 444
union all
select
3 ,'James', 367
union all
select
4 ,'John', 742
union all
select
5 ,'John', 654
SELECT
ID
, Name
, Phone
, count(*) over(partition by Name)
FROM #tbl
ORDER BY ID
select id, name, phone,(select count(name) from users u1 where u1.name=u2.name) count from users u2
try
select column1, count(1) over ()
it should help