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Sql server updating large databases

I want to update a large table in 5000-row batches, but I don't know how to split up the data.The table doesn't include an incremental numeric or integer primary key.

Auto stats as we all know update the statistics when the correct number of rows in the table have changed.But if there are a large number of rows that require an update, then the overhead of issuing large numbers of UPDATE statements can result in the operation as a whole taking a long time to complete.The traditional advice for improving performance for multiple UPDATE statements is to “prepare” the required query once, and then “execute” the prepared query once for each row requiring an update.Using the available indexes may not always be the most efficient plan.For example, if 95% of the values for a column are the same, an index scan will probably be more efficient than using the index on that column.

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The dominant factor in the time taken to complete the overall operation tends to be the “admin” work in conveying the application’s intention to the database server rather than the actual updates to the database.

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