Big index - slow efficiency

Hello Experts.

I have a big clustered index on my table. How to rebuild this index to increase efficiency ?
I try to use DBCC INDEXDEFRAG and DBCC DBREINDEX but  productivity is still low.

Here is the result DBCC SHOWCONTIG

DBCC SHOWCONTIG scanning 'REJ' table...
Table: 'REJ' (1301579675); index ID: 1, database ID: 16
TABLE level scan performed.
- Pages Scanned................................: 538
- Extents Scanned..............................: 68
- Extent Switches..............................: 67
- Avg. Pages per Extent........................: 7.9
- Scan Density [Best Count:Actual Count].......: 100.00% [68:68]
- Logical Scan Fragmentation ..................: 0.19%
- Extent Scan Fragmentation ...................: 95.59%
- Avg. Bytes Free per Page.....................: 84.8
- Avg. Page Density (full).....................: 98.95%
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This is not a big table, so more than likely lowering the extent fragmentation isn't going to help too much.  

I am curious about this statement:  "I try to use DBCC INDEXDEFRAG and DBCC DBREINDEX but  productivity is still low."

What exactly do you mean?
ASkEPAAuthor Commented:
I expected that after using these commands, the fragmentation index decreases and productivity increases, however, this did not happen.Please take a look at the attached actual execution plan (all the time consuming scan of the index).
That part of your exec plan doesn't tell me anything (other than your query could potentially be written better).
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Guy Hengel [angelIII / a3]Billing EngineerCommented:
this means you have no proper index for your query.
please post the query
Marten RuneSQL Expert/Infrastructure ArchitectCommented:
a clustered index scan is essentially a table scan
You should have a a clustered index seek instead to gain performance.

And this is not always the case, if you choose many records then a index is useless. It's good when your'e selecting a few rows.

But agin, youre not utilizing the index, your'e doing a table scan (since the clustered index is the order in wich the table is written on disc).

Perhaps a nonclustered composite index is whats needed to make a good database design. I cant tell from your information.

For more knowledge about indexes:;EN-US;814324;EN-US;325024

ASkEPAAuthor Commented:
The query is written correctly, the problem lies 100% in the index. Problems with the productivity appeared after several years have passed of work of the base.
Are you updating your statistics?

Like I said, this isn't a big table, so it is possible that you're just now seeing issues as more data is in your system.

You can always drop and recreate your indexes.
ASkEPAAuthor Commented:
What do you mean by updating the statistics? Could you write how I do this?
Guy Hengel [angelIII / a3]Billing EngineerCommented:
>The query is written correctly, the problem lies 100% in the index
the explan plan tells something different, UNLESS the query has to query all the table data anyhow, in which case the problem IS in the query

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ASkEPAAuthor Commented:
This is it! I upgraded statistics - my query is very quickly now .. Thank you very much for your help!
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