What “Clustered Index Scan (Clustered)” means on SQL Server execution plan?

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我在风中等你
我在风中等你 2021-02-02 07:52

I have a query that fails to execute with \"Could not allocate a new page for database \'TEMPDB\' because of insufficient disk space in filegroup \'DEFAULT\'\".

On the

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  •  南方客
    南方客 (楼主)
    2021-02-02 08:46

    I would appreciate any explanations to "Clustered Index Scan (Clustered)"

    I will try to put in the easiest manner, for better understanding you need to understand both index seek and scan.

    SO lets build the table

    use tempdb GO
    
    
    create table scanseek  (id  int , name varchar(50) default ('some random names')  )
    
    create clustered index IX_ID_scanseek on scanseek(ID)
    
    
    declare @i int
    SET @i = 0
    while (@i <5000)
    begin 
    insert into scanseek
    select @i, 'Name' + convert( varchar(5) ,@i)
    set @i =@i+1
    END
    

    An index seek is where SQL server uses the b-tree structure of the index to seek directly to matching records

    you can check your table root and leaf nodes using the DMV below

    -- check index level 
    SELECT 
    index_level
    ,record_count
    ,page_count
    
    ,avg_record_size_in_bytes
    FROM sys.dm_db_index_physical_stats(DB_ID('tempdb'),OBJECT_ID('scanseek'),NULL,NULL,'DETAILED')
    GO
    

    Now here we have clustered index on column "ID"

    lets look for some direct matching records

    select * from scanseek where id =340
    

    and look at the Execution plan

    you've requested rows directly in the query that's why you got a clustered index SEEK .

    Clustered index scan: When Sql server reads through for the Row(s) from top to bottom in the clustered index. for example searching data in non key column. In our table NAME is non key column so if we will search some data in the name column we will see clustered index scan because all the rows are in clustered index leaf level.

    Example

    select * from scanseek where name = 'Name340'
    

    please note: I made this answer short for better understanding only, if you have any question or suggestion please comment below.

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