Result_cache full

Hello,
I have seen that we can manually flush the RESULT_CACHE with DBMS_RESULT_CACHE.FLUSH;
If the RESULT_CACHE is full and we don't flush it, what will it happen if we try to cache the result of a new query ?

If I understand correctly, it means that Oracle automaticly flush the result_cache for the new requests ?

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What's wrong with the following result_cache hint?

Dear all,
I try to use result_cache hint in the following sql aggregate function statement, but the explain plan doesn't show any difference between non-result_cached and with result_cached:
SQL> set autot on explain stat
SQL> select account_mgr_id,count(*) from customers group by account_mgr_id;
ACCOUNT_MGR_ID      COUNT(*)
        147            76
        149            74
        148            58
        145           111
Execution Plan
Plan hash value: 1577413243
| Id | Operation        | Name      | Rows | Bytes | Cost (%CPU)| Time     |
|   0 | SELECT STATEMENT   |            |     4 |    16 |     6     (17)| 00:00:01 |
|   1 | HASH GROUP BY        |            |     4 |    16 |     6     (17)| 00:00:01 |
|   2 |   TABLE ACCESS FULL| CUSTOMERS |   319 | 1276 |     5      (0)| 00:00:01 |
Statistics
       0 recursive calls
       0 db block gets
      16 consistent gets
       0 physical reads
       0 redo size
     689 bytes sent via SQL*Net to client
     524 bytes received via SQL*Net from client
       2 SQL*Net roundtrips to/from client
       0 sorts (memory)
       0 sorts (disk)
       4 rows processed
SQL> select /*+ result_cache */ account_mgr_id,count(*) from customers group by account_mgr_id;
ACCOUNT_MGR_ID      COUNT(*)
        147            76
        149            74
        148            58
        145           111
Execution Plan
Plan hash value: 1577413243
| Id | Operation         | Name                | Rows | Bytes | Cost (%CPU)| Time      |
|   0 | SELECT STATEMENT    |                     |     4 |    16 |     6 (17)| 00:00:01 |
|   1 | RESULT CACHE         | 3s3bugtq0p5bm71mhmqvvw0x7y |      |      |           |       |
|   2 |   HASH GROUP BY     |                     |     4 |    16 |     6 (17)| 00:00:01 |
|   3 |    TABLE ACCESS FULL| CUSTOMERS            |   319 | 1276 |     5   (0)| 00:00:01 |
Result Cache Information (identified by operation id):
   1 - column-count=2; dependencies=(OE.CUSTOMERS); name="select /*+ result_cache */ account_mgr_id,
count(*) from customers group by account_mgr_id"
Statistics
       1 recursive calls
       0 db block gets
      16 consistent gets
       0 physical reads
       0 redo size
     689 bytes sent via SQL*Net to client
     524 bytes received via SQL*Net from client
       2 SQL*Net roundtrips to/from client
       0 sorts (memory)
       0 sorts (disk)
       4 rows processedAnything wrong with the hint?
Best regards,
Val

Two executions required to benefit from result cache (two executions of the statement with the result cache hint).
First to populate, Second to benefit.
Can offer good benefits particularly with poor code - e.g. functions in SQL, row-by-row function calls, etc.
Optimal solution may be to refactor to more efficient approach.
But result cache can deliver significant short term tactical gain.
Not a no-brainer though.
There were scalability issues with a single latch protecting the result cache - I believe this has changed in 11gR2.
There are also issues with concurrent executions were the result needs to be recalculated and takes x time to regenerate that result.
See http://uhesse.wordpress.com/2009/11/27/result-cache-another-brilliant-11g-new-feature/#comment-216
SQL> drop table t1;
Table dropped.
SQL>
SQL> create table t1
2 as
3 select rownum col1
4 from   dual
5 connect by rownum <= 100000;
Table created.
SQL> set autotrace traceonly explain statistics
SQL> select col1
2 from   t1
3 where col1 >= 99997;
Execution Plan
Plan hash value: 3617692013
| Id | Operation         | Name | Rows | Bytes | Cost (%CPU)| Time     |
|   0 | SELECT STATEMENT |      |    10 |   130 |    58   (9)| 00:00:01 |
|* 1 | TABLE ACCESS FULL| T1   |    10 |   130 |    58   (9)| 00:00:01 |
Predicate Information (identified by operation id):
   1 - filter("COL1">=99997)
Note
   - dynamic sampling used for this statement (level=4)
Statistics
         10 recursive calls
          0 db block gets
        220 consistent gets
        153 physical reads
          0 redo size
        379 bytes sent via SQL*Net to client
        334 bytes received via SQL*Net from client
          2 SQL*Net roundtrips to/from client
          0 sorts (memory)
          0 sorts (disk)
          4 rows processed
SQL> select col1
2 from   t1
3 where col1 >= 99997;
Execution Plan
Plan hash value: 3617692013
| Id | Operation         | Name | Rows | Bytes | Cost (%CPU)| Time     |
|   0 | SELECT STATEMENT |      |    10 |   130 |    58   (9)| 00:00:01 |
|* 1 | TABLE ACCESS FULL| T1   |    10 |   130 |    58   (9)| 00:00:01 |
Predicate Information (identified by operation id):
   1 - filter("COL1">=99997)
Note
   - dynamic sampling used for this statement (level=4)
Statistics
          0 recursive calls
          0 db block gets
        158 consistent gets
          0 physical reads
          0 redo size
        379 bytes sent via SQL*Net to client
        334 bytes received via SQL*Net from client
          2 SQL*Net roundtrips to/from client
          0 sorts (memory)
          0 sorts (disk)
          4 rows processed
SQL>
SQL>
SQL> select /*+ result_cache */ col1
2 from   t1
3 where col1 >= 99997;
Execution Plan
Plan hash value: 3617692013
| Id | Operation          | Name                       | Rows | Bytes | Cost (%CPU)| Time     |
|   0 | SELECT STATEMENT   |                            |    10 |   130 |    58   (9)| 00:00:01 |
|   1 | RESULT CACHE      | 4p777jcbdgjm25xy3502ypdb5r |       |       |            |          |
|* 2 |   TABLE ACCESS FULL| T1                         |    10 |   130 |    58   (9)| 00:00:01 |
Predicate Information (identified by operation id):
   2 - filter("COL1">=99997)
Result Cache Information (identified by operation id):
   1 - column-count=1; dependencies=(RIMS.T1); name="select /*+ result_cache */ col1
from   t1
where col1 >= 99997"
Note
   - dynamic sampling used for this statement (level=4)
Statistics
          4 recursive calls
          0 db block gets
        216 consistent gets
          0 physical reads
          0 redo size
        379 bytes sent via SQL*Net to client
        334 bytes received via SQL*Net from client
          2 SQL*Net roundtrips to/from client
          0 sorts (memory)
          0 sorts (disk)
          4 rows processed
SQL>
SQL>
SQL> select /*+ result_cache */ col1
2 from   t1
3 where col1 >= 99997;
Execution Plan
Plan hash value: 3617692013
| Id | Operation          | Name                       | Rows | Bytes | Cost (%CPU)| Time     |
|   0 | SELECT STATEMENT   |                            |    10 |   130 |    58   (9)| 00:00:01 |
|   1 | RESULT CACHE      | 4p777jcbdgjm25xy3502ypdb5r |       |       |            |          |
|* 2 |   TABLE ACCESS FULL| T1                         |    10 |   130 |    58   (9)| 00:00:01 |
Predicate Information (identified by operation id):
   2 - filter("COL1">=99997)
Result Cache Information (identified by operation id):
   1 - column-count=1; dependencies=(RIMS.T1); name="select /*+ result_cache */ col1
from   t1
where col1 >= 99997"
Note
   - dynamic sampling used for this statement (level=4)
Statistics
          0 recursive calls
          0 db block gets
          0 consistent gets
          0 physical reads
          0 redo size
        379 bytes sent via SQL*Net to client
        334 bytes received via SQL*Net from client
          2 SQL*Net roundtrips to/from client
          0 sorts (memory)
          0 sorts (disk)
          4 rows processed
SQL>

Is result_cache working in Oracle 11.1.0.6.0?

BANNER
Oracle Database 11g Enterprise Edition Release 11.1.0.6.0 - 64bit Production
PL/SQL Release 11.1.0.6.0 - Production
CORE 11.1.0.6.0 Production
TNS for Solaris: Version 11.1.0.6.0 - Production
NLSRTL Version 11.1.0.6.0 - Production
SQL> SELECT dbms_result_cache.status() FROM dual;
DBMS_RESULT_CACHE.STATUS()
--------------------------------------------------------------------------------------------------------------------------------------------------------------------ENABLED
12:31:08 SQL> set autotrace on
select count(*) from objs;
12:31:27 SQL>
COUNT(*)
69918
Elapsed: 00:00:01.72
Execution Plan
Plan hash value: 386529197
| Id | Operation | Name | Rows | Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 1 | 289 (1)| 00:00:04 |
| 1 | SORT AGGREGATE | | 1 | | |
| 2 | TABLE ACCESS FULL| OBJS | 80773 | 289 (1)| 00:00:04 |
Note
- dynamic sampling used for this statement
Statistics
282 recursive calls
0 db block gets
1140 consistent gets
1038 physical reads
0 redo size
524 bytes sent via SQL*Net to client
524 bytes received via SQL*Net from client
2 SQL*Net roundtrips to/from client
5 sorts (memory)
0 sorts (disk)
1 rows processed
12:31:49 SQL> select /*+ result_cache */ count(*) from objs;
COUNT(*)
69918
Elapsed: 00:00:00.03
Execution Plan
Plan hash value: 386529197
| Id | Operation | Name | Rows | Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 1 | 289 (1)| 00:00:04 |
| 1 | RESULT CACHE | cnsc9rw3p17364cbg4975pad6y | | | |
| 2 | SORT AGGREGATE | | 1 | | |
| 3 | TABLE ACCESS FULL| OBJS | 80773 | 289 (1)| 00:00:04 |
Result Cache Information (identified by operation id):
1 - column-count=1; dependencies=(CTSGKOD.OBJS); attributes=(single-row); name="select /*+ result_cache */ count(*) from objs"
Note
- dynamic sampling used for this statement
Statistics
4 recursive calls
0 db block gets
1110 consistent gets
0 physical reads
0 redo size
524 bytes sent via SQL*Net to client
524 bytes received via SQL*Net from client
2 SQL*Net roundtrips to/from client
0 sorts (memory)
0 sorts (disk)
1 rows processed
12:32:06 SQL>
i see result_cache in execution plan, but why do i see 1110 consistent gets? I expected 0 in consisent gets and physical reads and the query is not executed ...
Thank You

Aman,
lets say i run these statements
1) exec dbms_result_cache.flush
2) alter system flush shared_pool;
3)alter system flush buffer_cache;
Then i run the query without hint of result_cache
4) Select count(*) from objs; --> This query is not using result cache, it is running for first time, so physical reads & consistent gets
5) select count(*) from objs; --> again same query, this time only consistent gets
6) select /*+ result_cache */ count(*) from objs; -- Lets introduce result_cache now
Will the above query gets data from buffer cache or will it use result_cache and gets result from memory instead of running query? Or will this 6th statement run same as (5) and prepares ground for usage of result_cache and
any other queries later can benefit from result_cache?
Thanks again Aman

Reg: result_cache in parallel -

Hi Experts,
I have few concern(s) regarding the Result Cache (introduced in 11gR2) and the /*+ RESULT_CACHE */ hint.
Refering to -
Doc 12.1 - Tuning the Result Cache
Murali Vallath - Using Oracle Database 11g Release 2 Result Cache in an Oracle RAC Environment
Adrian Billington -- query result cache in oracle 11g
Concerns -
(1) Suppose I have a master ETL job which has 5 sub-jobs. These sub-jobs are executed in parallel i.e. started all at once from ETL.
Each of these sub-job executes an extraction query and pulls data from database.
In each of these sub-job queries, there's a subquery which is common. I am thinking to provide /*+ RESULT_CACHE */ to this common subquery.
But my actual concern - since all the extraction queries (i.e. sub-jobs) are started in parallel, will the Result Cache thing come into picture?
(2) For how long the data is retained in the cache?
A wild guess - till the point we execute the DBMS_RESULT_CACHE.FLUSH procedure ?
(3) Any caveats?
(Trying to fix few costly time-consuming queries, and suddenly this option came to my mind. Took the opportunity to look at this cool feature, at the same time understanding the caveats, if any)
Please advise me on this.
-- Ranit
(on Oracle 11.2.0.3.0)

Hi.
2.1) 50Mb can store approximately 50Mb of data. The amount of stuff you can sore depends a number of factors, including:
- How many queries or function calls are being cached.
- With respect to the query cache, how wide are the rows. We are talking size of data in the columns.
- How many rows are being returned.
So you might have a few larger result sets, or many small ones.
2.2) Well, it can't. The RESULT_CACHE_MAX_RESULT parameter determines the maximum size of a result set that will be considered for caching. By default it is set to 5, which means 5% of the size. So let's say you have a result cache of 100Mb. By default, a result set in excess of 5Mb will not be considered for caching. This stops you wiping out useful information in the cache by trying to cache one big result set.
The reality is, if you start to use this feature you will have to monitor the cache performance and be selective about what you cache and what you don't. The default sizing parameters are not going to be suitable for everyone. You need to alter them based on your monitoring. Nobody in a forum will be able to tell you figures to set. If it were that easy, Oracle would do it for you.
Regarding your "alternative solution", I don't really want to comment on that specifically because I don't know enough about the system. Typically, it would not be something I would do, but maybe it is the right thing for you to do in your case. Impossible for me to know. Things to consider in preference to your alternative solution.
- Scalar subquery caching: If the subqueries are scalar subqueries (pulling back a single column/object in a single row), it will already be taking advantage of scalar subquery caching, so your alternative solutions may actually give worse performance. There is no sharing between SQL statements or sessions.
ORACLE-BASE - Efficient Function Calls From SQL
- Use a WITH clause to replace the subqueries and use the materialize hint. This way, the subquery is automatically materialized into temp segments, so multiple references to it within a single statement query the result from the temp segments, rather than the full subquery. There is no sharing between SQL statements or sessions.
ORACLE-BASE - WITH Clause : Subquery Factoring
The reality is, there is not going to be a "best" solution that works for all cases. What you need to do is try several approaches and pick the one that works best for your circumstances. The next time you run into a similar issue, you can't assume what you did last time is the right solution this time...
Regardless of which option you pick, you need to read the docs and feel comfortable with the tech before you launch down the path. No matter how good a feature is, if you use it badly you will make that feature look bad.
Cheers
Tim...

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Result_cache full

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