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Using the rule-based optimizer (RBO): The RBO is no longer supported, starting with 10g. It is an alternative optimizer that generates plans based on a set of rules (and hence is not very intelligent). We can still use hints to force the use of the RBO in our SQL statements. Of course, this should not be done in production code.
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Note If you aren t familiar with the CBO, it s a good idea to read up on it in the section Overview of the
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Optimizer in the chapter SQL, PL/SQL, and Java in Oracle Database Concepts Guide (10g Release 1).
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Let s now create the tables on which we ll run the query. First we create a table, t, with just one number column, x: benchmark@ORA10G> create table t ( x number ); Table created. Then we insert 10,000 0s and 10,000 1s into table t. For this, we use the mod function on the rownum pseudo column in a query from a Cartesian product of the views all_objects and all_users: benchmark@ORA10G> insert into t select mod(rownum, 2 ) from all_objects, all_users where rownum <= 20000; 20000 rows created. benchmark@ORA10G> select count(*) from t where x = 0; 10000 benchmark@ORA10G> select count(*) from t where x = 1; 10000 benchmark@ORA10G> commit; Commit complete. Next, we create an index on column x: benchmark@ORA10G> create index t_idx on t(x); Index created. We then create an identical table, t1, with identical data in it. We also create an index, t1_idx, on t1: benchmark@ORA10G> create table t1 ( x number ); Table created.
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benchmark@ORA10G> insert into t1 select mod(rownum, 2 ) from all_objects, all_users where rownum <= 20000; 20000 rows created. benchmark@ORA10G> select count(*) from t1 where x = 0; 10000 benchmark@ORA10G> select count(*) from t1 where x = 1; 10000 benchmark@ORA10G> commit; Commit complete. benchmark@ORA10G> create index t1_idx on t1(x); Index created. The CBO works on statistics gathered on a table s data. We collect statistics on both tables and indexes next: benchmark@ORA10G> begin 2 dbms_stats.gather_table_stats( 3 ownname => 'BENCHMARK', 4 tabname => 'T', 5 cascade => true ); 6 dbms_stats.gather_table_stats( 7 ownname => 'BENCHMARK', 8 tabname => 'T1', 9 cascade => true ); 10 end; 11 / PL/SQL procedure successfully completed. We ll compare the following two queries now (we execute them along the way so that Oracle s cache gets warmed up): benchmark@ORA10G> select count(*) 2 from t1, t 3 where t1.x = t.x 4 and t1.x = 0; 100000000
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benchmark@ORA10G> select /*+ RULE */count(*) 2 from t1, t 3 where t1.x = t.x 4 and t1.x = 0; 100000000 Note that the queries are the same except that in the second query, we give the RULE hint to force Oracle to use the RBO to generate its execution plan. Let s now use the RUNSTATS package to compare these two queries. The first step when using RUNSTATS is to mark the beginning of the comparison by invoking the rs_start procedure. This procedure takes a snapshot of all database statistics that we want to compare in our two approaches: benchmark@ORA10G> exec runstats_pkg.rs_start; PL/SQL procedure successfully completed. We execute our first query: benchmark@ORA10G> select count(*) 2 from t1, t 3 where t1.x = t.x 4 and t1.x = 0; 100000000 We now mark the middle of our benchmark to take another snapshot of the database statistics: benchmark@ORA10G> exec runstats_pkg.rs_middle; PL/SQL procedure successfully completed. and execute the second query: benchmark@ORA10G> select /*+ RULE */count(*) 2 from t1, t 3 where t1.x = t.x 4 and t1.x = 0; 100000000 Finally, we end the benchmarking by invoking the rs_stop method, which also prints out our comparison results: benchmark@ORA10G> exec runstats_pkg.rs_stop; Run1 ran in 1199 hsecs Run2 ran in 2687 hsecs run 1 ran in 44.62% of the time
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