Unless your system is 100% pure OLAP, the quick answer to this is a big 'NO'.
This short demo tells it all:
CREATE TABLE T1 ( C1 BIGINT NOT NULL PRIMARY KEY) ORGANIZE BY COLUMN;
So, we have a single-column table built with the 'COLUMN ORGANIZED' method. Since it is a primary key, there exists an index on the same column. So, do we get the 'best of both worlds'? Let's take a look.
Populate about 100 thousands rows into this table, and issue this simple query:
SELECT * FROM T1 WHERE C1 = 3;
We would 'expect' that the engine would use the primary key index to locate this value. Let's see the execution plan:
Access Plan:
-----------
Total Cost: 440.126
Query Degree: 2
Rows
RETURN
( 1)
Cost
I/O
|
1
CTQ
( 2)
440.126
480
|
1
TBSCAN
( 3)
440.125
480
|
195040
CO-TABLE: ADMIN
T1
Q1
This short demo tells it all:
CREATE TABLE T1 ( C1 BIGINT NOT NULL PRIMARY KEY) ORGANIZE BY COLUMN;
So, we have a single-column table built with the 'COLUMN ORGANIZED' method. Since it is a primary key, there exists an index on the same column. So, do we get the 'best of both worlds'? Let's take a look.
Populate about 100 thousands rows into this table, and issue this simple query:
SELECT * FROM T1 WHERE C1 = 3;
We would 'expect' that the engine would use the primary key index to locate this value. Let's see the execution plan:
Access Plan:
-----------
Total Cost: 440.126
Query Degree: 2
Rows
RETURN
( 1)
Cost
I/O
|
1
CTQ
( 2)
440.126
480
|
1
TBSCAN
( 3)
440.125
480
|
195040
CO-TABLE: ADMIN
T1
Q1
One thing that stands out is that the cost is over 400 for a single row search. Not good.
So, in a system where we anticipate mixed workload, a COLUMN ORGANIZED table could potentially flood your buffer cache when there are plenty of simple singleton query. Of course, if you have a PERFECT foresight that you know 100% for sure that certain table will always be OLTP access pattern and certain table always be OLAP, then choosing ROW/COLUMN organize table is a breeze.
I'm just curious, who has that ability? ;)
Having said that, I do see this feature lends itself naturally to a pure data warehouse system. For the rest of us, stay alert!