Oracle SQL Join Factorization Transformation (JFT)

Hi All!
Following the line of last week post, let’s talk today about the JFT…

Oracle SQL Join Factorization Transformation (JFT)

The UNION operator is great for merging the results of multiple queries that return similar rowsets, essentially executing each query separately and merging the results together into a single result set. Oracle 11g release 2 come with improvements for SQL optimizer on how Oracle handles UNION ALL performance with the new join factorization transformation (JFT). The Join Factorization Transformation applies only to UNION ALL queries.

The following example show how the optimizer improves the performance of UNION ALL by dynamically re-writing a UNION ALL query into a more efficient form using an in-line view:

Original Query:

select t1.c1, t2.c2     
    from t1, t2, t3     
    where t1.c1 = t2.c1 and t1.c1 > 1 and t2.c2 = 2 and t2.c2 = t3.c2    
union all     
    select t1.c1, t2.c2     
    from t1, t2, t4     
    where t1.c1 = t2.c1 and t1.c1 > 1 and t2.c3 = t4.c3;

Re-Written Query:

select t1.c1, VW_JF_1.item_2
     from t1, (select t2.c1 item_1, t2.c2 item_2
                    from t2, t3
                    where t2.c2 = t3.c2 and t2.c2 = 2
               union all
                    select t2.c1 item_1, t2.c2 item_2
                    from t2, t4
                    where t2.c3 = t4.c3) VW_JF_1
     where t1.c1 = VW_JF_1.item_1 and t1.c1 > 1;

Nice, right?
Cheers!

11g SQL transformations (CBQT, CNT, JE, JPPD)

Hi All!
Let’s save some time to review those?
They usually very important when analysing query performance, specially on 10046 traces. I separated those were included on 11g, to have it as subset. Here it goes:

New 11g SQL transformations (CBQT, CNT, JE, JPPD)

The Oracle cost-based optimizer CBO is constantly being improved in its ability to re-write and transform sub-optimal SQL queries. In general way, CBO work by replacing operations by equivalent optimal when possible, changing clauses or re-grouping to take advantage on in indexes, eliminating subqueries by replacing with joins and not null tests and similar. In 11g new SQL transformations were implemented looking to continue improving this process. They are:

  • Cost-Based Query Transformation (CBQT): This is one of the core mechanisms in CBO, that tries different transformed and untransformed variants of the query and runs them through the costing algorithm. Improvements were done in 11g, specially related to clauses NOT IN into NOT EXISTS.
  • Count Transformation (CNT): If all rows have a value on this column (not null), Oracle CBO can simply count the number of rows. There is no need to actually retrieve the column value. This transformation changes count(col) to count(*).
  • Join Elimination (JE): Join elimination is a query transformation of the Oracle optimizer to remove joins that are not required in a query. Released on 10g, Join Elimination got several improvements and new mechanisms in 11g and even more in 12c.
  • Join Predicate PushDown (JPPD): Allows a view to be joined with index-based nested-loop join method, which may provide a more optimal alternative. The following types of views supports predicate pushdown: UNION ALL/UNION view, Outer-joined view, Anti-joined view, Semi-joined view, DISTINCT view and GROUP-BY view.

Nice?

Hope you enjoy it!