Distinct Count?

I'm using SQL Server Express 2014 and I need to test some queries prior to using them in a full version (I've not decided which to move over to yet). I have a table with an inventory of virtual machines and I need to list the count of them per cluster. Each
listed virtual machine has more than one entry though as it lists a record for each disk so I need to SELECT DISTINCT on the virtual machine name to eliminate duplicate entries and list the count next the clustername.
Here's the schema:
CREATE TABLE [VMs](
[VMID] [int] IDENTITY(1,1) NOT NULL,
[VMName] [varchar](100) NULL,
[Template] [varchar](100) NULL,
[PowerState] [varchar](100) NULL,
[ClusterName] [varchar](100) NULL,
[Disk] [int] NULL,
[DiskPartition] [varchar](70) NULL,
[DiskSizeGB] [decimal](10, 3) NULL,
CONSTRAINT [PK_VMs] PRIMARY KEY CLUSTERED
[VMID] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
) ON [PRIMARY]
GO
Desired output would be something like:
ClusterName VMName
Cluster01 15
Cluster02 18
Cluster03 20
I tried the below code but it resulted in duplicates for ClusterName
SELECT DISTINCT ClusterName,COUNT(VMName)
FROM VMs
GROUP BY VMName,ClusterName
I hope this is enough information
Thanks in advance
Adam

You can do:
SELECT ClusterName, COUNT(*)
FROM VMs
GROUP BY ClusterName
SELECT ClusterName, COUNT(DISTINCT VMNname)
FROM VMs
GROUP BY ClusterName
Example:
SELECT ProductSubcategoryID, TotCount = COUNT(*),
ColorCount = COUNT(DISTINCT Color)
FROM Production.Product
WHERE ProductSubcategoryID IS NOT NULL
GROUP BY ProductSubcategoryID
ORDER BY ProductSubcategoryID;
ProductSubcategoryID TotCount ColorCount
1 32 2
2 43 3
3 22 2
4 8 0
5 3 0
Kalman Toth Database & OLAP Architect
SQL Server 2014 Database Design
New Book / Kindle: Beginner Database Design & SQL Programming Using Microsoft SQL Server 2014

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    For every expert, there is an equal and opposite expert. - Becker's Law
    My blog
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    ([Employee].[Gender].children) on 1
    From [AdventureWorks]
    Reference:DistinctCount (MDX)
    Regards,
    Charlie Liao
    TechNet Community Support

  • Distinct Count SSAS

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    http://sqlblog.com/blogs/mosha/archive/2007/11/22/optimizing-count-filter-expressions-in-mdx.aspx
    Regards,
    Charlie Liao
    TechNet Community Support

  • Distinct count on date/time field...

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  • Distinct count using lookup table

    How can I get a distinct count of column values using a different table?
    Let's say I want to get a distinct count of all "company_name" records in table "emp" that corespond (match) with "lookup" table, "state" category.
    What I want is to find counts for all companies that have a value of "california" in the "state" column of the "lookup" Table. I want the output to look like:
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    M

    Mark,
    In the future you might consider creating test cases for us to work with. Something similar to the following where sample data is created for each table as the union all of multiple select statementsselect 'INIT_ASSESS' lookup_type
         , 1 lookup_value
         , 'Initial Assessment' lookup_value_desc
      from dual union all
    select 'JOB_REF', 2, 'Job Reference' from dual union all
    select 'SPEC_STA', 3, 'SPEC STA' from dual;
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         , 1 val
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    select 'JOB_REF', 1 from dual union all
    select 'JOB_REF', 1 from dual union all
    select 'SPEC_STA', null from dual;Then we can either take your select statements and make them the source of a CTAS (create table as) statementcreate table lookup as
    select 'INIT_ASSESS' lookup_type
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      from dual union all
    select 'JOB_REF', 2, 'Job Reference' from dual union all
    select 'SPEC_STA', 3, 'SPEC STA' from dual;, or include them as subfactored queries by using the with statement:with lookup as (
    select 'INIT_ASSESS' lookup_type
         , 1 lookup_value
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      from dual union all
    select 'JOB_REF', 2, 'Job Reference' from dual union all
    select 'SPEC_STA', 3, 'SPEC STA' from dual
    ), RFS as (
    select 'INIT_ASSESS' rfs_category
         , 1 val
      from dual union all
    select 'JOB_REF', 1 from dual union all
    select 'JOB_REF', 1 from dual union all
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                 , count(val) count_val
                 , count(distinct val) dist_val
              from RFS group by rfs_category)
        on rfs_category = lookup_type;Edited by: Sentinel on Nov 17, 2008 3:38 PM

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