Is there a more effective way to interrogate this cache?

I have an interesting dilemma that I don't know how to fix. I have a cache of objects ClientType (see below). I'm trying to find the CustomerGroups that contain a password key for the customerValues card, which also have a CustomerValue.value between a high and low value. In others, do me all the CustomerGroups who have a client of "101" code, which contains a CustomerValue between 50 and 250. I have this fine work to aid request a customer filter - but the problem I have is that the cache contains approximately 500,000 items. The research must be applied to all objects, and because most of the clients contain a customervalue - we end up deserialization of objects to perform the comparison of the value in the cache that fills the eden space so quickly (in a multi-threaded env) that we are to throw himself into the holder space. This causes performance issues because it weakens the large global catalogs. We use 3.5.2 consistency and all are active POF. The works of current query - I'm looking for the most effective way to do with respect to the use of time and lot. I am willing to trade increased Rightsizing memory use for best performance - which means the addition of index / improves the news is very good. The big problem is fill the eden space so quickly. Any ideas?

class CustomerGroup
{
    Set<Customer> customers ;
}
 
class Customer
{
    Map<Integer, CustumerValue> customerValues;
}

class CustomerValue
{
  private int value ;
  private boolean isNew ;
}

Simi74 wrote:
Robert - appreciate the help. The question I have for this juicer is that the price is related to a specific customer. For example:

ClientType contains 1 client.

This customer has 2 CustomerValues in his card.

These entries to resemble the following:
Key: 100
Value: CustomerValue.value = 10

Key: 200
Value: CustomerValue.value = 50
If I'm following your logic, the extractor that you recommended would apply to values (that is to say, 10, and 50). So, if I searched for CustomerGroups that have values between 5 and 15,
return the ClientType as one of the values is 10. However, I also this map to a specific client code (in this case either 100 or 200 - they key in the matching values). Thus, the query is really more like 'give me all the objects ClientType to 100 client code where the value is between 5 and 15'. I should only get this object if the client code is 100. I can't do a ContainsFilter with the client code and use BetweenFilter because using an AllFilter since this logic would be tantamount to a 'false' positive press 200. Logical in this case being 'the ClientType contains a 200 client' who is true and does the ClientType contain a value between 5 and 15, which is also true, because the value list has 10 and 50. But it must return this object ONLY if the customer key passed is 100. The example below is a false positive.
/* following code returns the object, but should not! */
Filter[] filterArray = { new ContainsFilter( new CustomerKeyExtractor(), new Integer( 200 ) ),
new BetweenFilter( new CustomerValueExtractor(), 5, 15) };

Filter filter = new AllFilter( filterArray ) ; 
So my question is how to apply a hint on the CustomerKey/CustomerValue as a whole without deserialize all the objects for each search? Or is it a problem with the structuring of the object? If that's the problem - of recommendations on alterations are welcome as well fix this filtering.

Ah, ok, got it now...

What is the client code?

Is it just a key generated with an arbitrary value, or is it a thing of enum type (key to a value of metadata property with only a finite number of different property names, etc.) with only a small number of different codes in all of the cache?

If it's a thing of enum type, then instead to extract only the 'value' s as integers, you can extract pairs ' value: code "represented as long with the code being the high 32 bit which would be always classifiable and allow querying: instead of valueMin and valueMax, you would code: valueMin and code: valueMax as the beach.

If it's an arbitrary generated value, then it is a bit more problematic (extraction POF does not support crossed down in individual map entries, so it can't be indexed without the plan, including the entire Customer objects to deserialize), but I wouldn't address that if it is not necessary, so please indicate if the previous approach fits your needs :). In the case that it is not, you would probably want to the extracted value to be structured on the other hand, the value is the code and 32-bit higher at least 32. You must also write a custom filter that supports the index which is able to use this index going in the direction of Alexey BetweenFilter but with additional controls for the code... In addition, you must check whether the consumption of memory of the filter can be too high...

Best regards

Robert

Tags: Fusion Middleware

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Volunteer - MS - MVP - Digital Media Experience J - Notice_This is not tech support_I'm volunteer - Solutions that work for me may not work for you - * proceed at your own risk *.

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-----------

Sybrand Bakker

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Good morning (afternoon to you, BluShadow).

I got following exact, as you wish, output (derived from the EMP table):

D10     D20     D30     PREZ    MGRS    ANALS   SALESM  CLERKS
------- ------- ------- ------- ------- ------- ------- -------
CLARK   JONES   WARD    KING    BLAKE   FORD    ALLEN   ADAMS
KING    FORD    TURNER          CLARK   SCOTT   MARTIN  JAMES
MILLER  ADAMS   ALLEN           JONES           TURNER  MILLER
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                MARTIN

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   depts as
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    select max(case deptno
                 when 10 then ename
               end)                                 as d10,
           max(case deptno
                 when 20 then ename
               end)                                 as d20,
           max(case deptno
                 when 30 then ename
               end)                                 as d30,
           rnd
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                   ename,
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              from emp
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     order by rnd
   ),
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   -- pivoted jobs
   --
   jobs as
   (
    select max(case job
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               end)                                 as Clerks,
           max(case job
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               end)                                 as Prez,
           max(case job
                 when 'MANAGER'       then ename
               end)                                 as Mgrs,
           max(case job
                 when 'ANALYST'       then ename
               end)                                 as Anals,
           max(case job
                 when 'SALESMAN'      then ename
               end)                                 as SalesM,
           rnj
      from (
            select job,
                   ename,
                   row_number() over (partition by job
                                          order by ename)   as rnj
              from emp
           )
     group by rnj
     order by rnj
   )
select d10,
       d20,
       d30,
       Prez,
       Mgrs,
       Anals,
       SalesM,
       Clerks
  from depts a full outer join jobs b
                            on a.rnd = b.rnj
 order by rnj, rnd;

that takes a total of 5 selects to get there.

I tried to find a query that would be, I hope more simple, easier and does not require as much selects. My last attempt is the following (which is closer to the desired result, but does not get a cigar yet):

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         when 20 then ename
       end                                 as d20,
       case deptno
         when 30 then ename
       end                                 as d30,
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       end                                 as Clerks,
       case job
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       end                                 as Prez,
       case job
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       end                                 as Mgrs,
       case job
         when 'ANALYST'       then ename
       end                                 as Anals,
       case job
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The query above annoys me to this result which is encouraging, but... the brand:

D10     D20     D30     CLERKS  PREZ    MGRS    ANALS   SALESM   RND  RNJ
------- ------- ------- ------- ------- ------- ------- ------- ---- ----
                ALLEN                                   ALLEN      3    1
        ADAMS           ADAMS                                      2    1
                BLAKE                   BLAKE                      6    1
KING                            KING                               2    1
        FORD                                    FORD               1    1
        SCOTT                                   SCOTT              5    2
                JAMES   JAMES                                      5    2
CLARK                                   CLARK                      3    2
                MARTIN                                  MARTIN     2    2
                TURNER                                  TURNER     1    3
MILLER                  MILLER                                     1    3

D10     D20     D30     CLERKS  PREZ    MGRS    ANALS   SALESM   RND  RNJ
------- ------- ------- ------- ------- ------- ------- ------- ---- ----
        JONES                           JONES                      3    3
                WARD                                    WARD       4    4
        SMITH           SMITH                                      4    4

It uses a single SELECT statement and contains all the data that should be displayed, but I can't find a way to eliminate NULL values without losing a few jobs or departments

Your help is welcome and appreciated,

John.

PS: I'll be perfectly happy to learn that there is no way more easy/simple. In other words, if the answer is simply "No, there no simpler or easier way", please let me know which is the case. (I ask that you be sure enough of that though, thank you)

Published by: 440bx - 11 GR 2 on July 25, 2010 07:19 - added PS.

According to the hoek' suggestion ;-)

SQL> select d10, d20, d30, prez, mgrs, anals, salesm, clerks
  2    from (select row_number() over(partition by deptno order by ename) rn,
  3                 ename,
  4                 to_char(deptno) deptno
  5            from emp
  6          union all
  7          select row_number() over(partition by job order by ename),
  8                 ename,
  9                 job
 10            from emp) pivot(max(ename) for deptno in(10  d10,
 11                                                     20  d20,
 12                                                     30  d30,
 13                                                     'ANALYST'  anals,
 14                                                     'CLERK'  clerks,
 15                                                     'MANAGER'  mgrs,
 16                                                     'PRESIDENT'  prez,
 17                                                     'SALESMAN'  salesm))
 18   order by rn
 19  /

D10        D20        D30        PREZ       MGRS       ANALS      SALESM     CLERKS
---------- ---------- ---------- ---------- ---------- ---------- ---------- ----------
CLARK      ADAMS      ALLEN      KING       BLAKE      FORD       ALLEN      ADAMS
KING       FORD       BLAKE                 CLARK      SCOTT      MARTIN     JAMES
MILLER     JONES      JAMES                 JONES                 TURNER     MILLER
           SCOTT      MARTIN                                      WARD       SMITH
           SMITH      TURNER
                      WARD

6 rows selected.

Best regards

Maxim

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