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Don Burleson Blog 







Estimating the maximum results from a paginated Oracle SQL query

Expert Oracle Database Tips by Donald BurlesonSeptember 1, 2015

Question:  I have an application where I must paginate the results, like Google results.  I create a cursor for the SQL, and I display the max results like this:

"Displaying rows 1 through 25 of 1,497"

Currently I am doing this by submitting a second query: select count(*) from the table.

This counting of the estimated total results is very time-consuming.  What is a better way to do display the max number of results in pagination with SQL?

Answer:  In some pagination algorithms, you use a loop based on a result set, using an array (collection) based on an indexed position, placing the results into a temp table or PL/SQL array and selecting from RAM.  But there are other approaches to pagination, see here, how to paginate Oracle SQL results.

Take Google for example. Google does not truly know the actual number of results because it is constantly changing, and they use a "guessing algorithm".

For displaying the "max results" from the paginated query, you need to "guess" this because it is not practical to do a count(*).  There are many approaches to "estimating the actual total results:

  • Cheating:  I have seen Bangalore Bargains generate a random number in cases where the end-users don't care!  A truly shoddy and dishonest approach.
  • Fetch it all:  If you have the RAM, you can store all of the result pages in a large PL/SQL array and quickly count the number of rows returned from the PL/SQL collection.
  • Data Dictionary:  You can start with use num_rows from dba_tables (stale from the last run of dbms_stats), and use additional data for subtracting from the histograms in the query using the value range counts in dba_histograms.
  • Stale tolerated materialized view:  Another popular approach to guessing the max results from pagination is to drop and re-create create a stale-tolerated materialized view each night, counting the number of rows based on the most common query values.  The Materialized view gets stale during the day, but nobody expects a perfectly accurate count.
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