Caching the result of OSB: expiration

Hello

Anyone know if it is possible to replace the TTL value (defined at design time) of the result while deploying caching (using the example or WLST customization file?).

Kind regards

Mathieu

or you can create a script ant with xmltask to find/replace the expression directly in your business service file.

We also use it to add sla during deployment

Tags: Fusion Middleware

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  • Model for caching the results of database queries?

    I am interested in the caching of certain common and slow query results in a cache consistency and would like some suggestions on models of 'good '.

    In this case you would use a cache next to the model to the data stored in the cache/database where all updates are written to the cache and the database using a XA transaction (we need to do it this way because there are certain requirements of coherence that are difficult to check (at least with correct performance) by using only the cache). We intend to use a "near cache" with a rear limited size.

    We plan to invalidate the "saved query result cache" as part of each transaction update (we have a few simple rules which determine what query results that must be discarded for each change).

    The part that is a bit tricky is to make sure that no application is perhaps underway while an update of the data related to the query is also underway where the invalidation might be carried out until the result of the query is inserted in result cache... I am not concerned about order of exact time between queries and updates that are ongoing at the same time, but must be 100% sure that no "outdated" information remains (or can be inserted!) in the cache after the update was signed...

    It is not enough to rely on the expiration of the time based on the result cache (I would have to set the time so short that the cache would not give a lot of improvement)

    I think something like the following:

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    When you make a change using a XA transaction:
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    I guess the stage of preparation of the transaction will lock the deleted records in the cache of query result preventing the invalidations and simultaneous updates...

    Everyone sees a few windows of vulnerability here? For example, it is possible that the cache owned by the XA transaction lock is released before the update of the database has finished (thus a request could be carried out against the old data and be stored in the cache after the invalidation have been performed) or what exactly the kind of problems that the XA protocol designed to prevent?

    An alternative I've been thinking about how to run the database query / caching the result would be to leave a store class hides (for query result cache) execute queries when no entries exist in the cache, but I don't know how I would change the locking protocol to make it work - can I still lock a cache by this type or component entry , or which would result in a block?

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    Best regards
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    Hi Magnus,

    Everyone sees a few windows of vulnerability here? For example, it is possible that the cache owned by the XA transaction lock is released before the update of the database has finished (thus a request could be carried out against the old data and be stored in the cache after the invalidation have been performed) or what exactly the kind of problems that the XA protocol designed to prevent?

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    Harv

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    I gathered and made every detail I could search. I use Oracle EE 11.2 g 32-bit on Windows 7 64 bit

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    ---------
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Table created.


insert into customer (custno,custname) values (1,'Customer_1');

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select * from customer;


    CUSTNO CUSTNAME

---------- ------------------------------

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commit;

Commit complete.
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Execution Plan

----------------------------------------------------------

Plan hash value: 2844954298

  

-------------------------------------------------------------------------------------------------

| Id  | Operation          | Name                       | Rows  | Bytes | Cost (%CPU)| Time     |

-------------------------------------------------------------------------------------------------

|   0 | SELECT STATEMENT   |                            |     1 |    30 |     3   (0)| 00:00:01 |

|   1 |  RESULT CACHE      | ggb2vz6jcvcn5ajzqh406j3n85 |       |       |            |          |

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-------------------------------------------------------------------------------------------------

Predicate Information (identified by operation id):

---------------------------------------------------

  

   2 - filter("CUSTNO"=1)

  

Result Cache Information (identified by operation id):

------------------------------------------------------

  

   1 - column-count=2; dependencies=(SCRATCHPAD.CUSTOMER); name="select /*+ RESULT_CACHE */ * FROM customer where custno=1"
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select /*+ RESULT_CACHE */ * FROM customer where custno=2;
 

Execution Plan

----------------------------------------------------------

Plan hash value: 2844954298

  

-------------------------------------------------------------------------------------------------

| Id  | Operation          | Name                       | Rows  | Bytes | Cost (%CPU)| Time     |

-------------------------------------------------------------------------------------------------

|   0 | SELECT STATEMENT   |                            |     1 |    30 |     3   (0)| 00:00:01 |

|   1 |  RESULT CACHE      | fc8t6svvz6whh0gc8vcaxrh668 |       |       |            |          |

|*  2 |   TABLE ACCESS FULL| CUSTOMER                   |     1 |    30 |     3   (0)| 00:00:01 |

-------------------------------------------------------------------------------------------------

Predicate Information (identified by operation id):

---------------------------------------------------

  

   2 - filter("CUSTNO"=2)

  

Result Cache Information (identified by operation id):

------------------------------------------------------

  

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1 row updated.

commit;

Commit complete.
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select /*+ RESULT_CACHE */ * FROM customer where custno=2;
 

Execution Plan

----------------------------------------------------------

Plan hash value: 2844954298

  

-------------------------------------------------------------------------------------------------

| Id  | Operation          | Name                       | Rows  | Bytes | Cost (%CPU)| Time     |

-------------------------------------------------------------------------------------------------

|   0 | SELECT STATEMENT   |                            |     1 |    30 |     3   (0)| 00:00:01 |

|   1 |  RESULT CACHE      | fc8t6svvz6whh0gc8vcaxrh668 |       |       |            |          |

|*  2 |   TABLE ACCESS FULL| CUSTOMER                   |     1 |    30 |     3   (0)| 00:00:01 |

-------------------------------------------------------------------------------------------------

  

Predicate Information (identified by operation id):

---------------------------------------------------

  

   2 - filter("CUSTNO"=2)

  

Result Cache Information (identified by operation id):

------------------------------------------------------

  

   1 - column-count=2; dependencies=(SCRATCHPAD.CUSTOMER); name="select /*+ RESULT_CACHE */ * FROM customer where custno=2"
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    Report generated 2016-05-01 17:52:49

    Download EtreCheck from https://etrecheck.com

    Time 08:31

    Performance: Below average

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    [Data sheet] - [User Guide] - [warranty & Service]

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    12 GB of RAM expandable - [Instructions]

    BANK 0/DIMM0

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    BANK 1/DIMM0

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    0/DIMM1 BANK

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    BANK 1/DIMM1

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    Wireless: en1: 802.11 a/b/g/n

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