Here is my query:
select count(*)
from email_prod_junc j
inner join trckd_prod t5 on j.trckd_prod_sk = t5.trckd_prod_sk
inner join prod_brnd b on t5.prod_brnd_sk = b.prod_brnd_sk
inner join email e on j.email_sk = e.email_sk
inner join dm_geography_sales_pos_uniq u on (u.emp_sk = e.emp_sk and u.prod_brnd_sk = b.prod_brnd_sk)
The explain plan says:
Cartesian Join between DM_GEOGRAPHY_SALES_POS_UNIQ and EMAIL_PROD_JUNC.
I don't understand why because there is a join condition for each table.
The CARTESIAN JOIN or CROSS JOIN returns the Cartesian product of the sets of records from two or more joined tables. Thus, it equates to an inner join where the join-condition always evaluates to either True or where the join-condition is absent from the statement.
To avoid a Cartesian product, you must specify how the tables should be combined. Typically, you want to pair rows based on matching values in one or more key columns of each table.
In SQL Server, the cartesian product is really a cross-join which returns all the rows in all the tables listed in a query: each row in the first table is paired with all the rows in the second table. This happens when there is no relationship defined between the two tables.
I solved this by adding the ORDERED hint:
select /*+ ordered */
I got the information from here
If you specify the tables in the order you want them joined and use this hint, Oracle won't spend time trying to figure out the optimal join order, it will just join them as they are ordered in the FROM clause.
Without knowing your indexes and the full plan, it's hard to say why this is happening exactly. My best guess is that EMAIL_PROD_JUNC and DM_GEOGRAPHY_SALES_POS_UNIQ are relatively small and that there's an index on TRCKD_PROD(trckd_prod_sk, prod_brnd_sk). If that's the case, then the optimizer may have decided that the Cartesian on the two smaller tables is less expensive than filtering TRCKD_PROD twice.
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