Clustered Sequential GUID Primary Key vs Non-Clustered GUID and Clustered Sequential ID Primary Keys





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I'm trying to figure out what the optimal solution is in regards to size and performance when using GUIDs as a primary key. The main reason for wanting GUIDs is that it's more appropriate in our micro-service architecture. There seems to be a lot of debate on what's actually best.



The two main solutions appear to be:




  1. Have the primary key as a sequential GUID (generated by the
    application, rather than SQL Servers built in NEWSEQUENTIALID() as it isn't truly sequential)
    with a clustered index.


  2. Have two primary keys, a randomly generated GUID with a
    non-clustered index and a basic int IDENTITY column with a
    clustered index -- the approach is described best in this stackoverflow response here



I'm not sure which solution is best. The first method seems to be the most popular and widely used from what I've read. The second seems to have this benefit from that linked stackoverflow response:




Then there's another issue to consider: the clustering key on a table will be added to each and every entry on each and every non-clustered index on your table as well - thus you really want to make sure it's as small as possible.




Any advice would be appreciated.










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  • Having the GUID in the NC indexes can also be a benefit, if the queries that are driven by such an index also refers to the GUID. If you want to cover such a query, then the GUID is already in there.
    – Tibor Karaszi
    Nov 29 at 11:37

















up vote
1
down vote

favorite












I'm trying to figure out what the optimal solution is in regards to size and performance when using GUIDs as a primary key. The main reason for wanting GUIDs is that it's more appropriate in our micro-service architecture. There seems to be a lot of debate on what's actually best.



The two main solutions appear to be:




  1. Have the primary key as a sequential GUID (generated by the
    application, rather than SQL Servers built in NEWSEQUENTIALID() as it isn't truly sequential)
    with a clustered index.


  2. Have two primary keys, a randomly generated GUID with a
    non-clustered index and a basic int IDENTITY column with a
    clustered index -- the approach is described best in this stackoverflow response here



I'm not sure which solution is best. The first method seems to be the most popular and widely used from what I've read. The second seems to have this benefit from that linked stackoverflow response:




Then there's another issue to consider: the clustering key on a table will be added to each and every entry on each and every non-clustered index on your table as well - thus you really want to make sure it's as small as possible.




Any advice would be appreciated.










share|improve this question







New contributor




Callum Breen is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.




















  • Having the GUID in the NC indexes can also be a benefit, if the queries that are driven by such an index also refers to the GUID. If you want to cover such a query, then the GUID is already in there.
    – Tibor Karaszi
    Nov 29 at 11:37













up vote
1
down vote

favorite









up vote
1
down vote

favorite











I'm trying to figure out what the optimal solution is in regards to size and performance when using GUIDs as a primary key. The main reason for wanting GUIDs is that it's more appropriate in our micro-service architecture. There seems to be a lot of debate on what's actually best.



The two main solutions appear to be:




  1. Have the primary key as a sequential GUID (generated by the
    application, rather than SQL Servers built in NEWSEQUENTIALID() as it isn't truly sequential)
    with a clustered index.


  2. Have two primary keys, a randomly generated GUID with a
    non-clustered index and a basic int IDENTITY column with a
    clustered index -- the approach is described best in this stackoverflow response here



I'm not sure which solution is best. The first method seems to be the most popular and widely used from what I've read. The second seems to have this benefit from that linked stackoverflow response:




Then there's another issue to consider: the clustering key on a table will be added to each and every entry on each and every non-clustered index on your table as well - thus you really want to make sure it's as small as possible.




Any advice would be appreciated.










share|improve this question







New contributor




Callum Breen is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.











I'm trying to figure out what the optimal solution is in regards to size and performance when using GUIDs as a primary key. The main reason for wanting GUIDs is that it's more appropriate in our micro-service architecture. There seems to be a lot of debate on what's actually best.



The two main solutions appear to be:




  1. Have the primary key as a sequential GUID (generated by the
    application, rather than SQL Servers built in NEWSEQUENTIALID() as it isn't truly sequential)
    with a clustered index.


  2. Have two primary keys, a randomly generated GUID with a
    non-clustered index and a basic int IDENTITY column with a
    clustered index -- the approach is described best in this stackoverflow response here



I'm not sure which solution is best. The first method seems to be the most popular and widely used from what I've read. The second seems to have this benefit from that linked stackoverflow response:




Then there's another issue to consider: the clustering key on a table will be added to each and every entry on each and every non-clustered index on your table as well - thus you really want to make sure it's as small as possible.




Any advice would be appreciated.







sql-server performance index clustered-index uuid






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Check out our Code of Conduct.











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asked Nov 29 at 11:14









Callum Breen

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Callum Breen is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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Check out our Code of Conduct.












  • Having the GUID in the NC indexes can also be a benefit, if the queries that are driven by such an index also refers to the GUID. If you want to cover such a query, then the GUID is already in there.
    – Tibor Karaszi
    Nov 29 at 11:37


















  • Having the GUID in the NC indexes can also be a benefit, if the queries that are driven by such an index also refers to the GUID. If you want to cover such a query, then the GUID is already in there.
    – Tibor Karaszi
    Nov 29 at 11:37
















Having the GUID in the NC indexes can also be a benefit, if the queries that are driven by such an index also refers to the GUID. If you want to cover such a query, then the GUID is already in there.
– Tibor Karaszi
Nov 29 at 11:37




Having the GUID in the NC indexes can also be a benefit, if the queries that are driven by such an index also refers to the GUID. If you want to cover such a query, then the GUID is already in there.
– Tibor Karaszi
Nov 29 at 11:37










2 Answers
2






active

oldest

votes

















up vote
2
down vote













If you're going to use a GUID key, simply use a clustered index with NEWSEQENTIALID() and move on with your application. The alternative designs are simply not predictably and significantly better when you consider the extra data structures and complexity they introduce. So while careful testing of your actual application might reveal a superior alternative design, just start with a simple clustered index on a sequentially-generated GUID.



For the gory details on why it doesn't really matter that the GUIDs are generated in the "middle" of the sort order, and the insertion point changes see: Good Page Splits and Sequential GUID Key Generation.






share|improve this answer






























    up vote
    1
    down vote













    Using an INT (clustered) and a UNQUEIDENTIFIER (not) could save significant space if you have a lot of non-clustered indexes on the table, though be careful to make sure this internal value never leaks out into other layers of your application, and make sure it is well documented so others working on the DB know, as your distributed system could accidentally gain a global dependency on what should be a local only value.



    There is a third option to consider: do you have anything else in the table that might benefit from being the clustering key? Perhaps a DATE column that sees a lot of range queries? Range queries on that column would then see a performance increase, you wouldn't be subject to the fragmentation see with arbitrary UUIDs and the date+uniquifier while still larger than an integer at 8 bytes is still smaller than the 16 needed for a UUID. Even if it is a DATETIME, or DATETIME2 depending on precision, the result is 12 bytes, so if you are using system managed history tables and this is a base table perhaps consider using sysStartTime.



    Even if all you have is an INT (or smaller) that doesn't vary a lot, that plus the uniquifier will be a smaller key than a UUID and the uniquifier is effectively an INT IDENTITY(1,1) so it'll behave like your extra INT colummn without needing to pollute the data model with an extra column existing only for size/performance reasons.




    (generated by the application, rather than SQL Servers built in NEWSEQUENTIALID() as it isn't truly sequential)




    It is "sequential enough" to vastly reduce any fragmentation concern though, so don't go out of your way re-inventing the wheel if that is your only issue.






    share|improve this answer

















    • 1




      The key takeaway from the first sentence is that your primary key doesn't have to be clustered and you can have multiple "keys" that are enforced through unique constraints/indexes instead of the primary key syntax. The end result is largely the same.
      – Aaron Bertrand
      Nov 29 at 13:25











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    2 Answers
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    2 Answers
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    If you're going to use a GUID key, simply use a clustered index with NEWSEQENTIALID() and move on with your application. The alternative designs are simply not predictably and significantly better when you consider the extra data structures and complexity they introduce. So while careful testing of your actual application might reveal a superior alternative design, just start with a simple clustered index on a sequentially-generated GUID.



    For the gory details on why it doesn't really matter that the GUIDs are generated in the "middle" of the sort order, and the insertion point changes see: Good Page Splits and Sequential GUID Key Generation.






    share|improve this answer



























      up vote
      2
      down vote













      If you're going to use a GUID key, simply use a clustered index with NEWSEQENTIALID() and move on with your application. The alternative designs are simply not predictably and significantly better when you consider the extra data structures and complexity they introduce. So while careful testing of your actual application might reveal a superior alternative design, just start with a simple clustered index on a sequentially-generated GUID.



      For the gory details on why it doesn't really matter that the GUIDs are generated in the "middle" of the sort order, and the insertion point changes see: Good Page Splits and Sequential GUID Key Generation.






      share|improve this answer

























        up vote
        2
        down vote










        up vote
        2
        down vote









        If you're going to use a GUID key, simply use a clustered index with NEWSEQENTIALID() and move on with your application. The alternative designs are simply not predictably and significantly better when you consider the extra data structures and complexity they introduce. So while careful testing of your actual application might reveal a superior alternative design, just start with a simple clustered index on a sequentially-generated GUID.



        For the gory details on why it doesn't really matter that the GUIDs are generated in the "middle" of the sort order, and the insertion point changes see: Good Page Splits and Sequential GUID Key Generation.






        share|improve this answer














        If you're going to use a GUID key, simply use a clustered index with NEWSEQENTIALID() and move on with your application. The alternative designs are simply not predictably and significantly better when you consider the extra data structures and complexity they introduce. So while careful testing of your actual application might reveal a superior alternative design, just start with a simple clustered index on a sequentially-generated GUID.



        For the gory details on why it doesn't really matter that the GUIDs are generated in the "middle" of the sort order, and the insertion point changes see: Good Page Splits and Sequential GUID Key Generation.







        share|improve this answer














        share|improve this answer



        share|improve this answer








        edited Nov 29 at 15:36

























        answered Nov 29 at 14:04









        David Browne - Microsoft

        9,929725




        9,929725
























            up vote
            1
            down vote













            Using an INT (clustered) and a UNQUEIDENTIFIER (not) could save significant space if you have a lot of non-clustered indexes on the table, though be careful to make sure this internal value never leaks out into other layers of your application, and make sure it is well documented so others working on the DB know, as your distributed system could accidentally gain a global dependency on what should be a local only value.



            There is a third option to consider: do you have anything else in the table that might benefit from being the clustering key? Perhaps a DATE column that sees a lot of range queries? Range queries on that column would then see a performance increase, you wouldn't be subject to the fragmentation see with arbitrary UUIDs and the date+uniquifier while still larger than an integer at 8 bytes is still smaller than the 16 needed for a UUID. Even if it is a DATETIME, or DATETIME2 depending on precision, the result is 12 bytes, so if you are using system managed history tables and this is a base table perhaps consider using sysStartTime.



            Even if all you have is an INT (or smaller) that doesn't vary a lot, that plus the uniquifier will be a smaller key than a UUID and the uniquifier is effectively an INT IDENTITY(1,1) so it'll behave like your extra INT colummn without needing to pollute the data model with an extra column existing only for size/performance reasons.




            (generated by the application, rather than SQL Servers built in NEWSEQUENTIALID() as it isn't truly sequential)




            It is "sequential enough" to vastly reduce any fragmentation concern though, so don't go out of your way re-inventing the wheel if that is your only issue.






            share|improve this answer

















            • 1




              The key takeaway from the first sentence is that your primary key doesn't have to be clustered and you can have multiple "keys" that are enforced through unique constraints/indexes instead of the primary key syntax. The end result is largely the same.
              – Aaron Bertrand
              Nov 29 at 13:25















            up vote
            1
            down vote













            Using an INT (clustered) and a UNQUEIDENTIFIER (not) could save significant space if you have a lot of non-clustered indexes on the table, though be careful to make sure this internal value never leaks out into other layers of your application, and make sure it is well documented so others working on the DB know, as your distributed system could accidentally gain a global dependency on what should be a local only value.



            There is a third option to consider: do you have anything else in the table that might benefit from being the clustering key? Perhaps a DATE column that sees a lot of range queries? Range queries on that column would then see a performance increase, you wouldn't be subject to the fragmentation see with arbitrary UUIDs and the date+uniquifier while still larger than an integer at 8 bytes is still smaller than the 16 needed for a UUID. Even if it is a DATETIME, or DATETIME2 depending on precision, the result is 12 bytes, so if you are using system managed history tables and this is a base table perhaps consider using sysStartTime.



            Even if all you have is an INT (or smaller) that doesn't vary a lot, that plus the uniquifier will be a smaller key than a UUID and the uniquifier is effectively an INT IDENTITY(1,1) so it'll behave like your extra INT colummn without needing to pollute the data model with an extra column existing only for size/performance reasons.




            (generated by the application, rather than SQL Servers built in NEWSEQUENTIALID() as it isn't truly sequential)




            It is "sequential enough" to vastly reduce any fragmentation concern though, so don't go out of your way re-inventing the wheel if that is your only issue.






            share|improve this answer

















            • 1




              The key takeaway from the first sentence is that your primary key doesn't have to be clustered and you can have multiple "keys" that are enforced through unique constraints/indexes instead of the primary key syntax. The end result is largely the same.
              – Aaron Bertrand
              Nov 29 at 13:25













            up vote
            1
            down vote










            up vote
            1
            down vote









            Using an INT (clustered) and a UNQUEIDENTIFIER (not) could save significant space if you have a lot of non-clustered indexes on the table, though be careful to make sure this internal value never leaks out into other layers of your application, and make sure it is well documented so others working on the DB know, as your distributed system could accidentally gain a global dependency on what should be a local only value.



            There is a third option to consider: do you have anything else in the table that might benefit from being the clustering key? Perhaps a DATE column that sees a lot of range queries? Range queries on that column would then see a performance increase, you wouldn't be subject to the fragmentation see with arbitrary UUIDs and the date+uniquifier while still larger than an integer at 8 bytes is still smaller than the 16 needed for a UUID. Even if it is a DATETIME, or DATETIME2 depending on precision, the result is 12 bytes, so if you are using system managed history tables and this is a base table perhaps consider using sysStartTime.



            Even if all you have is an INT (or smaller) that doesn't vary a lot, that plus the uniquifier will be a smaller key than a UUID and the uniquifier is effectively an INT IDENTITY(1,1) so it'll behave like your extra INT colummn without needing to pollute the data model with an extra column existing only for size/performance reasons.




            (generated by the application, rather than SQL Servers built in NEWSEQUENTIALID() as it isn't truly sequential)




            It is "sequential enough" to vastly reduce any fragmentation concern though, so don't go out of your way re-inventing the wheel if that is your only issue.






            share|improve this answer












            Using an INT (clustered) and a UNQUEIDENTIFIER (not) could save significant space if you have a lot of non-clustered indexes on the table, though be careful to make sure this internal value never leaks out into other layers of your application, and make sure it is well documented so others working on the DB know, as your distributed system could accidentally gain a global dependency on what should be a local only value.



            There is a third option to consider: do you have anything else in the table that might benefit from being the clustering key? Perhaps a DATE column that sees a lot of range queries? Range queries on that column would then see a performance increase, you wouldn't be subject to the fragmentation see with arbitrary UUIDs and the date+uniquifier while still larger than an integer at 8 bytes is still smaller than the 16 needed for a UUID. Even if it is a DATETIME, or DATETIME2 depending on precision, the result is 12 bytes, so if you are using system managed history tables and this is a base table perhaps consider using sysStartTime.



            Even if all you have is an INT (or smaller) that doesn't vary a lot, that plus the uniquifier will be a smaller key than a UUID and the uniquifier is effectively an INT IDENTITY(1,1) so it'll behave like your extra INT colummn without needing to pollute the data model with an extra column existing only for size/performance reasons.




            (generated by the application, rather than SQL Servers built in NEWSEQUENTIALID() as it isn't truly sequential)




            It is "sequential enough" to vastly reduce any fragmentation concern though, so don't go out of your way re-inventing the wheel if that is your only issue.







            share|improve this answer












            share|improve this answer



            share|improve this answer










            answered Nov 29 at 11:42









            David Spillett

            21.9k23167




            21.9k23167








            • 1




              The key takeaway from the first sentence is that your primary key doesn't have to be clustered and you can have multiple "keys" that are enforced through unique constraints/indexes instead of the primary key syntax. The end result is largely the same.
              – Aaron Bertrand
              Nov 29 at 13:25














            • 1




              The key takeaway from the first sentence is that your primary key doesn't have to be clustered and you can have multiple "keys" that are enforced through unique constraints/indexes instead of the primary key syntax. The end result is largely the same.
              – Aaron Bertrand
              Nov 29 at 13:25








            1




            1




            The key takeaway from the first sentence is that your primary key doesn't have to be clustered and you can have multiple "keys" that are enforced through unique constraints/indexes instead of the primary key syntax. The end result is largely the same.
            – Aaron Bertrand
            Nov 29 at 13:25




            The key takeaway from the first sentence is that your primary key doesn't have to be clustered and you can have multiple "keys" that are enforced through unique constraints/indexes instead of the primary key syntax. The end result is largely the same.
            – Aaron Bertrand
            Nov 29 at 13:25










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