ORs, IN lists and LNNVL

I’ve previously written about manually rewriting an OR condition into a UNION ALL using LNNVL.

This is a description of a performance issue observed in the real world from the optimizer coming up with a CONCATENATION operation against many child operations including an INLIST operator and other children which then have to use LNNVL as a filter.

Really this is nothing more than an illustration of our old performance killing friend the function call from within SQL, particularly from within predicates, and the problem of context switching.

Ok. So, the real world example is a crazy query.
It contains 1091 OR clauses each stipulating a unique key lookup.
Yes, “1091″ OR clauses.
I know, I know.
Probably itself a workaround to avoid the 1000 limit on an IN list, who knows?
Anyway.

I’m going to use a table just to illustrate the execution plan and then use some metrics from the execution of the real world example.

drop table t1;

create table t1
(col1 number
,col2 number
,col3 varchar2(10)
,constraint pk_t1 primary key (col1, col2));

insert into t1
select mod(rownum,10000)+1 col1
,      ceil(rownum/10000)  col2
,      rpad('X',10,'X')    col3
from   dual
connect by rownum <= 100000
order by col1, col2;

commit;

If we use a simple multi-column OR condition, we don’t get the desired LNNVLs.

explain plan for
select *
from   t1
where (col1 = 1
and    col2 = 1)
or    (col1 = 2
and    col2 = 2)
or    (col1 = 3
and    col2 = 3)
or    (col1 = 3
and    col2 = 4);

select * from table(dbms_xplan.display);

The optimizer just uses an INLIST iterator:

--------------------------------------------------------------------------------------
| Id  | Operation                    | Name  | Rows  | Bytes | Cost (%CPU)| Time     |
--------------------------------------------------------------------------------------
|   0 | SELECT STATEMENT             |       |  1129 | 37257 |     5   (0)| 00:00:01 |
|   1 |  INLIST ITERATOR             |       |       |       |            |          |
|   2 |   TABLE ACCESS BY INDEX ROWID| T1    |  1129 | 37257 |     5   (0)| 00:00:01 |
|*  3 |    INDEX UNIQUE SCAN         | PK_T1 |     7 |       |     4   (0)| 00:00:01 |
--------------------------------------------------------------------------------------
 
Predicate Information (identified by operation id):
---------------------------------------------------
 
   3 - access(("COL1"=1 AND "COL2"=1 OR "COL1"=2 AND "COL2"=2 OR "COL1"=3 AND 
              "COL2"=3 OR "COL1"=3 AND "COL2"=4))

However, if we combine an IN list with some of those ORs:

explain plan for
select *
from   t1
where (col1 = 1
and    col2 = 1)
or    (col1 = 2
and    col2 = 2)
or    (col1 = 3
and    col2 IN (3,4));

select * from table(dbms_xplan.display);

Which gives

---------------------------------------------------------------------------------------
| Id  | Operation                     | Name  | Rows  | Bytes | Cost (%CPU)| Time     |
---------------------------------------------------------------------------------------
|   0 | SELECT STATEMENT              |       |  1140 | 37620 |     2   (0)| 00:00:01 |
|   1 |  CONCATENATION                |       |       |       |            |          |
|   2 |   TABLE ACCESS BY INDEX ROWID | T1    |    11 |   363 |     1   (0)| 00:00:01 |
|*  3 |    INDEX RANGE SCAN           | PK_T1 |     1 |       |     2   (0)| 00:00:01 |
|   4 |   INLIST ITERATOR             |       |       |       |            |          |
|   5 |    TABLE ACCESS BY INDEX ROWID| T1    |  1129 | 37257 |     1   (0)| 00:00:01 |
|*  6 |     INDEX UNIQUE SCAN         | PK_T1 |     1 |       |     3   (0)| 00:00:01 |
---------------------------------------------------------------------------------------
 
Predicate Information (identified by operation id):
---------------------------------------------------
 
   3 - access("COL1"=3)
       filter("COL2"=3 OR "COL2"=4)
   6 - access(("COL1"=1 AND "COL2"=1 OR "COL1"=2 AND "COL2"=2))
       filter(LNNVL("COL1"=3) OR LNNVL("COL2"=3) AND LNNVL("COL2"=4))

We get the CONCATENATION of the simpler OR conditions which are combined into a single INLIST ITERATOR operations with another child operation which applies LNNVLs in the filter predicate.

Now imagine we have a much larger number of the simpler OR predicates combined with liberal scatterings of such IN clauses throughout our 1091 OR’d predicates.

Perhaps we’d be a bit concerned about the context switching and increased cpu usage?

Looking at my real world example right here… there’s no point me pasting in the thousands of lines.

If I run the real world behemoth:

Client elapsed time 108 seconds

DBMS_XPLAN.DISPLAY_CURSOR tells me it ran in 1.26 seconds:

plan hash value: 4262066066  
 
-------------------------------------------------------------------------------------------------------------------- 
| Id  | Operation                     | Name            | Starts | E-Rows | A-Rows |   A-Time   | Buffers | Reads  | 
--------------------------------------------------------------------------------------------------------------------  
|   0 | SELECT STATEMENT              |                 |      1 |        |   1628 |00:00:01.26 |    3352 |    418 | 
|   1 |  CONCATENATION                |                 |      1 |        |   1628 |00:00:01.26 |    3352 |    418 |  
|   2 |   INLIST ITERATOR             |                 |      1 |        |    966 |00:00:00.94 |    2735 |    389 | 
|   3 |    TABLE ACCESS BY INDEX ROWID| XXXXXXXXXX      |    966 |    624 |    966 |00:00:00.94 |    2735 |    389 | 
|*  4 |     INDEX RANGE SCAN          | XXXXXXXXXX_UK01 |    966 |    624 |    966 |00:00:00.86 |    1915 |    380 | 
|   5 |   TABLE ACCESS BY INDEX ROWID | XXXXXXXXXX      |      1 |      1 |      2 |00:00:00.01 |       4 |      0 |  
|*  6 |    INDEX RANGE SCAN           | XXXXXXXXXX_UK01 |      1 |      1 |      2 |00:00:00.01 |       3 |      0 |  
....
| 253 |   TABLE ACCESS BY INDEX ROWID | XXXXXXXXXX      |      1 |      2 |     47 |00:00:00.01 |      14 |      1 |  
|*254 |    INDEX RANGE SCAN           | XXXXXXXXXX_UK01 |      1 |      2 |     47 |00:00:00.01 |       3 |      1 |   
--------------------------------------------------------------------------------------------------------------------  

Predicate Information (identified by operation id):
--------------------------------------------------- 
   4 - access(((("XXXXXXXXXX"."VERSION"=1 AND "XXXXXXXXXX"."ID_XXXXXXXXXX"=1611722) OR             
              ("XXXXXXXXXX"."VERSION"=1 AND "XXXXXXXXXX"."ID_XXXXXXXXXX"=1611795) OR ("XXXXXXXXXX"."VERSION"=1 AND                                       
              "XXXXXXXXXX"."ID_XXXXXXXXXX"=1611863) OR ("XXXXXXXXXX"."VERSION"=1 AND
              "XXXXXXXXXX"."ID_XXXXXXXXXX"=1612023) OR ("XXXXXXXXXX"."VERSION"=1 AND 			  .....
  6 - access "XXXXXXXXXX"."ID_XXXXXXXXXX"=2046939) 
       filter(((LNNVL("XXXXXXXXXX"."VERSION"=1) OR LNNVL("XXXXXXXXXX"."ID_XXXXXXXXXX"=1611722)) AND 
           (LNNVL("XXXXXXXXXX"."VERSION"=1) OR LNNVL("XXXXXXXXXX"."ID_XXXXXXXXXX"=1611795)) AND 
              (LNNVL("XXXXXXXXXX"."VERSION"=1) OR LNNVL("XXXXXXXXXX"."ID_XXXXXXXXXX"=1611863)) AND 
.....

DBMS_MONITOR tells me the query ran in 1.68 seconds:

Global Information
 Status              :  DONE (ALL ROWS)     
 Instance ID         :  2                   
 Session ID          :  1220                
 SQL ID              :  5fvt3tfbgmqp3       
 SQL Execution ID    :  33554432            
 Plan Hash Value     :  4262066066          
 Execution Started   :  04/05/2013 14:53:42 
 First Refresh Time  :  04/05/2013 14:53:42 
 Last Refresh Time   :  04/05/2013 14:53:45 

--------------------------------------------------------------------
| Elapsed |   Cpu   |    IO    | Cluster  | Fetch | Buffer | Reads |
| Time(s) | Time(s) | Waits(s) | Waits(s) | Calls |  Gets  |       |
--------------------------------------------------------------------
|    1.68 |    0.50 |     1.13 |     0.05 |     4 |   3352 |   418 |
--------------------------------------------------------------------

Fortunately V$SQL tells me the real story:

select sql_id, executions, rows_processed, elapsed_time/1000/1000, cpu_time/1000/1000 
from v$sql where sql_id = '5fvt3tfbgmqp3';

Gives

SQL_ID        EXECUTIONS ROWS_PROCESSED ELAPSED_TIME/1000/1000 CPU_TIME/1000/1000
------------- ---------- -------------- ---------------------- ------------------
5fvt3tfbgmqp3          1           1628              105.81511         104.581102

Then again, if you write nasty code, nasty things can happen.

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