Select n random rows from SQL Server table

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陌清茗
陌清茗 2020-11-22 10:54

I\'ve got a SQL Server table with about 50,000 rows in it. I want to select about 5,000 of those rows at random. I\'ve thought of a complicated way, creating a temp table wi

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  •  北海茫月
    2020-11-22 11:44

    newid()/order by will work, but will be very expensive for large result sets because it has to generate an id for every row, and then sort them.

    TABLESAMPLE() is good from a performance standpoint, but you will get clumping of results (all rows on a page will be returned).

    For a better performing true random sample, the best way is to filter out rows randomly. I found the following code sample in the SQL Server Books Online article Limiting Results Sets by Using TABLESAMPLE:

    If you really want a random sample of individual rows, modify your query to filter out rows randomly, instead of using TABLESAMPLE. For example, the following query uses the NEWID function to return approximately one percent of the rows of the Sales.SalesOrderDetail table:

    SELECT * FROM Sales.SalesOrderDetail
    WHERE 0.01 >= CAST(CHECKSUM(NEWID(),SalesOrderID) & 0x7fffffff AS float)
                  / CAST (0x7fffffff AS int)
    

    The SalesOrderID column is included in the CHECKSUM expression so that NEWID() evaluates once per row to achieve sampling on a per-row basis. The expression CAST(CHECKSUM(NEWID(), SalesOrderID) & 0x7fffffff AS float / CAST (0x7fffffff AS int) evaluates to a random float value between 0 and 1.

    When run against a table with 1,000,000 rows, here are my results:

    SET STATISTICS TIME ON
    SET STATISTICS IO ON
    
    /* newid()
       rows returned: 10000
       logical reads: 3359
       CPU time: 3312 ms
       elapsed time = 3359 ms
    */
    SELECT TOP 1 PERCENT Number
    FROM Numbers
    ORDER BY newid()
    
    /* TABLESAMPLE
       rows returned: 9269 (varies)
       logical reads: 32
       CPU time: 0 ms
       elapsed time: 5 ms
    */
    SELECT Number
    FROM Numbers
    TABLESAMPLE (1 PERCENT)
    
    /* Filter
       rows returned: 9994 (varies)
       logical reads: 3359
       CPU time: 641 ms
       elapsed time: 627 ms
    */    
    SELECT Number
    FROM Numbers
    WHERE 0.01 >= CAST(CHECKSUM(NEWID(), Number) & 0x7fffffff AS float) 
                  / CAST (0x7fffffff AS int)
    
    SET STATISTICS IO OFF
    SET STATISTICS TIME OFF
    

    If you can get away with using TABLESAMPLE, it will give you the best performance. Otherwise use the newid()/filter method. newid()/order by should be last resort if you have a large result set.

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