Querie regarding cache sizes

For optimizing the calculation script i have set in my cube & compression type as RLE (prior calculation script was running with time span of 6 minutes now it takes 2 minutes ,datafile exported using dataexport is same )
The maximum index cache you have set as 4097152 kb ( i.e.3.9 gb) Is it ok to set the index cache so high even though my index file size is less than 1 GB.
1)How do i conclude the maximum value for datacache is 36000000 kb. What are the factors i need to take for consideration.
2)Datacache Maximum 36000000 kb
Datacache is 36000000 kb (i.e. 34.33 GB). Is it a practical approach
Regards
Shenna

Hi,
Index Cache:
The doc suggests to have- 1 MB of index cache for Buffered I/O and 10 MB of index cache for Buffered I/O !
While you can use this recommendation to start with- You're the right person to arrive at the actual figure by doing some trials relevant to your environment.
Data Cache:
Again, the doc. suggests to have- Data cache = 0.125 * the value of data file cache size
Where- Suggested Data file cache size = Combined size of all essn.pag files, if possible; otherwise as large as possible. This cache setting not used if Essbase is set to use buffered I/O.
It's prudent to do trials independently for each of the caches!
It's worth reading all the posts of the thread @ Understanding Buffered I/O and Direct I/O to understand experts' opinions !
Best of luck :)
- Natesh

Similar Messages

Regarding cache size limit

hi all,
What is the maximum possible cache size set for Webcache.
Any help would be much appreciated
Regards,
Geeta

hi all,
What is the maximum possible cache size set for Webcache.
Any help would be much appreciated
Regards,
Geeta

Few Queries regarding Message Size in XI

Hi ,
I have posted the same question before many times over but did not get a satisfactory reply.
I have many file to idoc scenarioes.
Now the file size is large .It is a CSV or a Tab-delimited file.
IT can grow upto 100 mb.
DEV has 4gb of RAM
QA and PRODUCTION have 16 GB of RAM
INTEL DUAL CORE PROCESSOR ON EACH box.
If I want to send a complete 60-100 mb file I run into "LOCK table overflow"
WE have increased the table size parameter on recieving CRM system.
recordset parameter is set for all interfaces from 500 to 5000.
Since I am not able to send a complete file I am breaking it into chunks and sending as I do not have much choice.
For certain interfaces where I am having large number of fields I am able to send only 2000 records per file for others about 14000 records per file.
In order to take care of errors like "LOCK table overflow " and to automate the process I have scheduled a report 'RSARFCEX".Otherwise I'll end up putting one file at a time and wait for it to get processed (i.e. create idocs with status 64 in the recieving system.) and this takes a long time.
I see here on sdn people are able to send a large file in one go.
Even if I try to split a file using xi ..multimapping..extended interface determination...the works et cetra ...It fails for a file of size 6mb.
That too after increasing the no. of work processes.
Besides tried to follow XI tunning parameters ...but there was no change in status-quo.Finally I am using an abap program in xi which is spillting the file (in a matter of few minutes) so that file adapter can pick it up .
I am surprised by xi system's performance .I am not using BPM .There is content conversion on sender side.
Would the experts on the forum please provide a solution.

Hi deepak
Did you check this weblog
/people/alessandro.guarneri/blog/2006/03/05/managing-bulky-flat-messages-with-sap-xi-tunneling-once-again--updated
and this related thread
XML file size
regards
krishna
Message was edited by:
Krishnamoorthy Ramakrishnan

Dynamic Calc processor cannot lock more than [100] ESM blocks during the calculation, please increase CalcLockBlock setting and then retry(a small data cache setting could also cause this problem, please check the data cache size setting).

Hi,
Our Environment is Essbase 11.1.2.2 and working on Essbase EAS and Shared Services components.One of our user tried to run the Cal Script of one Application and faced this error.
Dynamic Calc processor cannot lock more than [100] ESM blocks during the calculation, please increase CalcLockBlock setting and then retry(a small data cache setting could also cause this problem, please check the data cache size setting).
I have done some Google and found that we need to add something in Essbase.cfg file like below.
1012704 Dynamic Calc processor cannot lock more than number ESM blocks during the calculation, please increase CalcLockBlock setting and then retry (a small data cache setting could also cause this problem, please check the data cache size setting).
Possible Problems
Analytic Services could not lock enough blocks to perform the calculation.
Possible Solutions
Increase the number of blocks that Analytic Services can allocate for a calculation:
Set the maximum number of blocks that Analytic Services can allocate to at least 500.
If you do not have an $ARBORPATH/bin/essbase.cfg file on the server computer, create one using a text editor.
In the essbase.cfg file on the server computer, set CALCLOCKBLOCKHIGH to 500.
Stop and restart Analytic Server.
Add the SET LOCKBLOCK HIGH command to the beginning of the calculation script.
Set the data cache large enough to hold all the blocks specified in the CALCLOCKBLOCKHIGH setting.
Determine the block size.
Set the data catche size.
Actually in our Server Config file(essbase.cfg) we dont have below data added.
CalcLockBlockHigh 2000
CalcLockBlockDefault 200
CalcLockBlocklow 50
So my doubt is if we edit the Essbase.cfg file and add the above settings and restart the services will it work? and if so why should we change the Server config file if the problem is with one application Cal Script. Please guide me how to proceed.
Regards,
Naveen

Your calculation needs to hold more blocks in memory than your current set up allows.
From the docs (quoting so I don't have to write it, not to be a smarta***:
CALCLOCKBLOCK specifies the number of blocks that can be fixed at each level of the SET LOCKBLOCK HIGH | DEFAULT | LOW calculation script command.
When a block is calculated, Essbase fixes (gets addressability to) the block along with the blocks containing its children. Essbase calculates the block and then releases it along with the blocks containing its children. By default, Essbase allows up to 100 blocks to be fixed concurrently when calculating a block. This is sufficient for most database calculations. However, you may want to set a number higher than 100 if you are consolidating very large numbers of children in a formula calculation. This ensures that Essbase can fix all the required blocks when calculating a data block and that performance will not be impaired.
Example
If the essbase.cfg file contains the following settings:
CALCLOCKBLOCKHIGH 500 CALCLOCKBLOCKDEFAULT 200 CALCLOCKBLOCKLOW 50
then you can use the following SET LOCKBLOCK setting commands in a calculation script:
SET LOCKBLOCK HIGH;
means that Essbase can fix up to 500 data blocks when calculating one block.
Support doc is saying to change your config file so those settings can be made available for any calc script to use.
On a side note, if this was working previously and now isn't then it is worth investigating if this is simply due to standard growth or a recent change that has made an unexpected significant impact.

Queries regarding Flash Builder and Augmented Reality.

I am Sarat from India. I'm a software engineer with working knowledge of Java, so Flash AS and OOP are understandable for me. I am working on an augmented reality project. I am quite new to Flash, Adobe Community and I've got some queries regarding Augmented Reality and Flash Builder:
1. Flash Builder 4.6 comes with a default Flex 4.6 SDK. However, Flex 4.6 SDK wasn't allowing me to compile and run some example files. So I've downloaded Flex 4.0A version from Adobe.com. Now the examples are running fine, but would there be any problem if i try deploying such projects in a website or as a desktop app? Once the code is compiled into a swf file, the flex framework used doesn't make much difference, does it?
2. Would the AR project run effectively on a website, given various internet/processor speeds worldwide? Would the effectiveness of the AR project, deployed on a website, depend on the number of triangles in the 3D models i.e. dae files? Because as per my understanding heavy models implies more time to download the flash app into the local browser from the internet and more time to render them by the papervision 3D engine right?
3. Can we develop a stand alone desktop AR app using Flash Builder? Using Adobe AIR we can, i guess. Please refer some tutorial, if possible.
4. I've seen that we can implement multiple-marker-tracking AR using vectors/arrays in AS. Would there be any performance issues depending on the size of the vectors/arrays used.
5. Can someone please mention some tips to improve performance of an AR app (desktop app and web app)?
6. What would be, approximately, the cost of FLARManager, FLARToolkit commercial versions, if you have any idea? I've gone through their website but they did not mention the costs.
7. Would applying bitmap material to the dae models pull down the web app/mobile app/desktop app performance, given some 4 to 5 dae models in the scene?
8. Is it advisable to use multiple markers with multiple dae models or single marker with Flash-based GUI option to load different models onto the same marker?
It would be very helpful for me if someone could answer my above queries.
Sarat.

#1, If it compiles then you have no issue. There's no reason at this point not to use 4.6. You should bundle a captive runtime to assure the users computer won't need to have AIR installed at all.
#2, Papervision is old. Use the Stage3D and/or a wrapper framework. As far as the generic "If I download lots of data will it take the user more time to load it", well, of course. Just don't make the loading experience painful. Entertain them while they way or find ways of displaying data sooner than later. If it's desirable on the web has more to do with the context of the app and the device displaying it. In other words, a phone user would find it easy but obviously not a desktop user.
#3, Definitely referring you to Google on that one.
#4, Size always matters, it's common sense. The more you process the harder it is. While I haven't done AR I've used the Microsoft Kinect SDK and ANE and tracking was extremely fast but limited. From what I've seen and your basic built in location and direction hardware on any mobile device you shouldn't have much trouble. Depends on what you're doing.
#5, This discussion would be way too large for a forum. You'd need to consult a firm experienced in AR development.
#6, "Applications using the commercial license do not have to provide source code, but must pay a licensing fee. Contact ARToolworks at [email protected] for more information." They will base your price on your product, there is no single price.
#7, The models could be huge and elaborate or tiny and simple which changes the answer. Consult the answer in #4. Ultimately most people are getting on fast networks with mobile and excessively fast on desktop/wifi. Size matters a lot less than 3 years ago.
#8, Depends on what you're doing. You have to explain it.

Callable Statement Cache Size

Hi all,
while using some dinamyc store procedures I get in the following error:
[BEA][SQLServer JDBC Driver]Value can not be converted to requested type.
I'm using WL8.1 and Sql Server 2000.
Store procedure contains two different queries where table name is a store procedure's
parameter.
The first time it works great, after that I always have this error:
Reading bea doc's I found
There may be other issues related to caching prepared statements that are not
listed here. If you see errors in your system related to prepared statements,
you should set the prepared statement cache size to 0, which turns off prepared
statement caching, to test if the problem is caused by caching prepared statements.
If I set prepared statement cache size to 0 everything works great but that does
not seem the better way.
Should we expect Bea to solve this problem?
Or whatever else solution?
such as using JDBCConnectionPoolMBean.setPreparedStatementCacheSize()
dynamically ?
thks in advance
Leonardo

caching works well for DML and thats what it is supposed to do. But it looks
like you are doing DDL , which means your tables might be getting
created/dropped/altered which effectively invalidates the cache. So you
should try to turn the cache off.
"leonardo" <[email protected]> wrote in message
news:40b1bb75$1@mktnews1...
>
>
Hi all,
while using some dinamyc store procedures I get in the following error:
[BEA][SQLServer JDBC Driver]Value can not be converted to requested type.
I'm using WL8.1 and Sql Server 2000.
Store procedure contains two different queries where table name is a storeprocedure's
parameter.
The first time it works great, after that I always have this error:
Reading bea doc's I found
There may be other issues related to caching prepared statements that arenot
listed here. If you see errors in your system related to preparedstatements,
you should set the prepared statement cache size to 0, which turns offprepared
statement caching, to test if the problem is caused by caching preparedstatements.
If I set prepared statement cache size to 0 everything works great butthat does
not seem the better way.
Should we expect Bea to solve this problem?
Or whatever else solution?
such as using JDBCConnectionPoolMBean.setPreparedStatementCacheSize()
dynamically ?
thks in advance
Leonardo

New cache size then FF restore it again to 75...

Well, i'be set a new Cache size ( Default is 75 ) to 250mb, but after a few minutes or when i close and Re-open FF the default chache is 75 insted of the new 250mb, any way to make solve this?, some config in about;config?, or in a .ini file?, any advise whould be cool.
Thx and regards!

The default value is 640000, what value should do type to have 250mb or more of cache size?
Also there is other tweak that should do to change and keep the value for the number i whant?
Sorry for my bad english, not my native language

Write-Behind Caching and Limited Internal Cache Size

Let's say I have a write-behind cache and configure its internal cache to be of a fixed limited size, e.g. 10000 units. What would happen if more than 10000 units are added to the write-behind cache within the write-delay period? Would my CacheStore's storeAll() get all of the added values or would some of the values be missed because of the internal cache size limitation?

Hi Denis,     >
     > If an entry is removed while it is still in the
     > write-behind queue, it will be removed from the queue
     > and CacheStore.store(oKey, oValue) will be invoked
     > immediately.
     >
     > Regards,
     > Dimitri
     Dimitri,
     Just to confirm, that I understand it right if there is a queued update to a key which is then remove()-ed from the cache, then the following happens:
     First CacheStore.store(key, queuedUpdateValue) is invoked.
     Afterwards CacheStore.erase(key) is invoked.
     Both synchronously to the remove() call.
     I expected only erase will be invoked.
     BR,
     Robert

Distributed cache size limit

Hi,
I want to create a distributed cache with 2 node.
Each node can have maximum 500 entries.
Total entries in cache of both node together should not exceed more than 1000.
If user try to put more than 1000 element in cache then some old entries from cache (LRU, LFU) should be removed from cache and new entries should be added.
Can you please help me with the schema for the above scenario.
Your help will be appreciated.
Thanks & Regards,
Viral Gala

Hi,
I tried below code <high-units> was not working
Cache size is 1010 (greater than 500)
Java code
package com.splwg.ccb.domain.pricing;
import com.tangosol.net.CacheFactory;
import com.tangosol.net.NamedCache;
public class CoherenceSizeTest {
     public static final int NO_OF_MAIN = 4;
     public static void main(String[] args) {
     NamedCache cache = CacheFactory.getCache("CheckSize");
      for (int i = 0; i < 1010; i++) {
            String key = "key" + i;
            cache.put(key, new Long(i));
     System.out.println(" Cache size : " + cache.size());
config file
<?xml version="1.0"?>
<!DOCTYPE cache-config SYSTEM "cache-config.dtd">
<cache-config>
    <caching-scheme-mapping>
        <cache-mapping>
            <cache-name>CheckSize</cache-name>
            <scheme-name>default-distributed</scheme-name>
        </cache-mapping>
    </caching-scheme-mapping>
    <caching-schemes>
        <distributed-scheme>
            <scheme-name>default-distributed</scheme-name>
            <service-name>DistributedCache</service-name>
            <backing-map-scheme>
                <local-scheme />
            </backing-map-scheme>
            <high-units>500</high-units>
            <autostart>true</autostart>
        </distributed-scheme>
    </caching-schemes>
</cache-config>
Console output
MasterMemberSet(
ThisMember=Member(Id=1, Timestamp=2014-11-07 16:31:21.123, Address=10.180.7.97:8088, MachineId=16932, Location=site:,machine:OFSS310723,process:4036, Role=SplwgCcbDomainCoherenceSizeTest)
OldestMember=Member(Id=1, Timestamp=2014-11-07 16:31:21.123, Address=10.180.7.97:8088, MachineId=16932, Location=site:,machine:OFSS310723,process:4036, Role=SplwgCcbDomainCoherenceSizeTest)
ActualMemberSet=MemberSet(Size=1
    Member(Id=1, Timestamp=2014-11-07 16:31:21.123, Address=10.180.7.97:8088, MachineId=16932, Location=site:,machine:OFSS310723,process:4036, Role=SplwgCcbDomainCoherenceSizeTest)
MemberId|ServiceVersion|ServiceJoined|MemberState
    1|3.7.1|2014-11-07 16:31:24.375|JOINED
RecycleMillis=1200000
RecycleSet=MemberSet(Size=0
TcpRing{Connections=[]}
IpMonitor{AddressListSize=0}
Cache size : 1010

Estimating cache size

I want to know how to estimate the size of tha cache memory, that is the value of the parameter:
DB_CACHE_SIZE
is there any criteria to estimate it??
I'm working with partiotioned tables of ten millions rows. This tables are indexed and a normal query on this tables return about 10000 rows.
The maximun number of users working simultaneous and making sql's to this tables are 60.
Any advice about cache size will be greatly apreciatted.
Thanks in advance

Hi,
if you have the parameter db_cache_advice set to ON then the view v$db_cache_Advice can show you the expected I/O for an estmated cache size.
You query this view under typical workload, not directely after startup. With this you can find out if it would meake sense to increase the buffer cache.
Hope this helps,
regards,
Lutz

Does buffer cache size matters during imp process ?

Hi,
sorry for maybe naive question but I cant imagine why do Oracle need buffer cache (larger = better ) during inserts only (imp process with no index creation) .
As far as I know insert is done via pga area (direct insert) .
Please clarify for me .
DB is 10.2.0.3 if that matters :).
Regards.
Greg

Surprising result: I tried closing the db handles with DB_NOSYNC and performance
got worse. Using a 32 Meg cache, it took about twice as long to run my test:
15800 seconds using DB->close(DB_NOSYNC) vs 8200 seconds using DB->close(0).
Here is some data from db_stat -m when using DB_NOSYNC:
40MB 1KB 900B Total cache size
1 Number of caches
1 Maximum number of caches
40MB 8KB Pool individual cache size
0 Maximum memory-mapped file size
0 Maximum open file descriptors
0 Maximum sequential buffer writes
0 Sleep after writing maximum sequential buffers
0 Requested pages mapped into the process' address space
26M Requested pages found in the cache (70%)
10M Requested pages not found in the cache (10811882)
44864 Pages created in the cache
10M Pages read into the cache (10798480)
7380761 Pages written from the cache to the backing file
3452500 Clean pages forced from the cache
7380761 Dirty pages forced from the cache
0 Dirty pages written by trickle-sync thread
10012 Current total page count
5001 Current clean page count
5011 Current dirty page count
4099 Number of hash buckets used for page location
47M Total number of times hash chains searched for a page (47428268)
13 The longest hash chain searched for a page
118M Total number of hash chain entries checked for page (118169805)
It looks like not flushing the cache regularly is forcing a lot more
dirty pages (and fewer clean pages) from the cache. Forcing a
dirty page out is slower than forcing a clean page out, of course.
Is this result reasonable?
I suppose I could try to sync less often than I have been, but more often
than never to see if that makes any difference.
When I close or sync one db handle, I assume it flushes only that portion
of the dbenv's cache, not the entire cache, right? Is there an API I can
call that would sync the entire dbenv cache (besides closing the dbenv)?
Are there any other suggestions?
Thanks,
Eric

Suggest buffer cache size check

Hi experts,
please suggest how much give size of buffer cache. please tell me how to calculate this.
Note: on database running huge select with where clause.
>
SQL> show sga
Total System Global Area 536870912 bytes
Fixed Size 1220408 bytes
Variable Size 117440712 bytes
Database Buffers 411041792 bytes
Redo Buffers 7168000 bytes
>
>
SGA_ADVISORE
SQL> column c1 heading 'Cache Size (m)' format 999,999,999,999
SQL> column c2 heading 'Buffers' format 999,999,999
SQL> column c3 heading 'Estd Phys|Read Factor' format 999.90
SQL> column c4 heading 'Estd Phys| Reads' format 999,999,999,999
SQL>
SQL> select
2 size_for_estimate c1,
3 buffers_for_estimate c2,
estd_physical_read_factor c3,
4 5 estd_physical_reads c4
6 from
7 v$db_cache_advice
8 where
9 name = 'DEFAULT'
10 and
11 block_size = (SELECT value FROM V$PARAMETER
12 WHERE name = 'db_block_size')
and
13 14 advice_status = 'ON';
Estd Phys Estd Phys
Cache Size (m) Buffers Read Factor Reads
36 4,491 1.02 1,768,088,631
72 8,982 1.01 1,751,858,036
108 13,473 1.01 1,745,807,886
144 17,964 1.00 1,742,684,545
180 22,455 1.00 1,740,606,287
216 26,946 1.00 1,739,127,030
252 31,437 1.00 1,737,935,545
288 35,928 1.00 1,736,936,513
324 40,419 1.00 1,736,098,119
360 44,910 1.00 1,735,368,624
Estd Phys Estd Phys
Cache Size (m) Buffers Read Factor Reads
392 48,902 1.00 1,734,775,608
396 49,401 1.00 1,734,701,493
432 53,892 1.00 1,734,086,804
468 58,383 1.00 1,733,466,505
504 62,874 1.00 1,732,871,083
540 67,365 1.00 1,732,300,725
576 71,856 1.00 1,731,737,930
612 76,347 1.00 1,731,204,779
648 80,838 1.00 1,730,669,455
684 85,329 1.00 1,730,117,349
Estd Phys Estd Phys
Cache Size (m) Buffers Read Factor Reads
720 89,820 .98 1,703,583,925
21 rows selected.
Dictionary Cache Hit Ratio : 99.92% Value Acceptable.
Library Cache Hit Ratio : 98.22% Increase SHARED_POOL_SIZE parameter to bring value above 99%
DB Block Buffer Cache Hit Ratio : 60.53% Increase DB_BLOCK_BUFFERS parameter to bring value above 89%
Latch Hit Ratio : 99.72% Value acceptable.
Disk Sort Ratio : 0.00% Value Acceptable.
Rollback Segment Waits : 0.00% Value acceptable.
Dispatcher Workload : 0.00% Value acceptable.
>
Edited by: 928992 on Oct 18, 2012 2:31 PM
Edited by: 928992 on Oct 18, 2012 3:04 PM

I am displaying you mine test db's buffer cache size : (11.2.0.1 on Windows box)
SQL> show parameter db_cache_size;
NAME                                 TYPE        VALUE
db_cache_size                        big integer 0
SQL> select name, current_size, buffers, prev_size, prev_buffers from v$buffer_pool;
NAME                 CURRENT_SIZE    BUFFERS PREV_SIZE PREV_BUFFERS
DEFAULT                       640      78800          0            0
SQL> select name,bytes from v$sgainfo where name='Buffer Cache Size';
NAME                                  BYTES
Buffer Cache Size                 *671088640*
SQL> show sga;
Total System Global Area 1603411968 bytes
Fixed Size                  2176168 bytes
Variable Size             922749784 bytes
*Database Buffers          671088640 bytes*
Redo Buffers                7397376 bytes
SQL> select * from v$sga;
NAME                      VALUE
Fixed Size              2176168
Variable Size         922749784
*Database Buffers      671088640*
Redo Buffers            7397376
SQL> show parameter sga_target;
NAME                                 TYPE        VALUE
sga_target                           big integer 0
SQL>Regards
Girish Sharma
Edited by: Girish Sharma on Oct 18, 2012 2:51 PM
Oracle and OS Info added.

Generate Events based on Cache size

Hi,
I have a use case where I need to generate events when the size of the cache has reached a specific value. The cache will be highly transactions (lot of inserts and deletes totaling to 6 million transactions per day). Also, I cannot limit the size of the cache as I don't want any data to be lost (trying to insert when cache size has reached its limit).
One of the ways I could do this is to use a MapListener to generate an event on every insert to the Cache, and then check for size each time to decide if the further processing needs to be done. With the nature of the traffic in the cache, the items in the cache are to be processed when the size threshold is reached and then deleted. But, I'm not sure how much of an overhead these events and listeners will have (with 6 million items going through the cache each day)
Is there any other more efficient way to do this? I have looked at Continuous Query cache which uses a filter based on a cache. But, I'm not able to figure out a way to get the size of the cache using a filter.
Any pointers are helpful
Thanks in advance
Regards
Vikas
Edited by: vikascv on Nov 17, 2009 8:48 AM

Hi Vikas,
Typically a size type calculation is the cumulative result of all storage enabled nodes, i.e. a Count aggregation. In your use case you want to be made aware of changes to an aggregation but as an aggregation is point in time of request opposed to continually being updated it does not fit your use case. One option is to create a MapEventTransformer that you register with the cache which increments a counters cache (on a separate service) using an EntryProcessor, i.e.
MapEventTransformer...
public class CounterMapEventTransformer implements MapEventTransformer, PortableObject
    String m_cacheName;
    public CounterMapEventTransformer()
    public CounterMapEventTransformer(final String cacheName)
        m_cacheName = cacheName;
    public MapEvent transform(MapEvent event)
        Long prevCount    = null;
        Long currentCount = null;
        switch( event.getId() )
            case( MapEvent.ENTRY_INSERTED ):
                // perform counter++
                currentCount = (Long) CacheFactory.getCache("counters").invoke(m_cacheName, new CounterOp(true));
                break;
            case( MapEvent.ENTRY_DELETED ):
                // perform counter--
                currentCount = (Long) CacheFactory.getCache("counters").invoke(m_cacheName, new CounterOp(false));
                break;
        MapEvent newEvent = new MapEvent(event.getMap(), event.getId(), event.getKey(), currentCount-1, currentCount);
        return newEvent;
    public void writeExternal(PofWriter out) throws IOException
        out.writeString(0, m_cacheName);
    public void readExternal(PofReader in) throws IOException
        m_cacheName = in.readString(0);
    }Incrementing EP...
public class CounterOp extends AbstractProcessor implements PortableObject
    boolean m_increment;
    public CounterOp()
    public CounterOp(boolean increment)
        m_increment = increment;
    @Override
    public Object process(Entry entry)
        Long newVal = null;
        if( !entry.isPresent() )
            entry.setValue(newVal = Long.valueOf(1));
        else
            newVal = ((Long)entry.getValue()).longValue() + (isIncrement() ? 1 : -1);
            entry.setValue( newVal );
        return newVal;
    protected boolean isIncrement()
        return m_increment;
    public void writeExternal(PofWriter out) throws IOException
        out.writeBoolean(0, m_increment);
    public void readExternal(PofReader in) throws IOException
        m_increment = in.readBoolean(0);
    }cache-config
     
<!DOCTYPE cache-config SYSTEM "cache-config.dtd">
<cache-config>
     <caching-scheme-mapping>
          <cache-mapping>
               <cache-name>dist-*</cache-name>
               <scheme-name>distributed-scheme</scheme-name>
          </cache-mapping>
          <cache-mapping>
               <cache-name>counters</cache-name>
               <scheme-name>counter-scheme</scheme-name>
          </cache-mapping>
     </caching-scheme-mapping>
     <caching-schemes>
          
          <distributed-scheme>
               <scheme-name>distributed-scheme</scheme-name>
               <service-name>DistributedCache</service-name>
               <serializer>
                    <class-name>com.tangosol.io.pof.ConfigurablePofContext</class-name>
                    <init-params>
                         <init-param>
                              <param-type>string</param-type>
                              <param-value>pof-config.xml</param-value>
                         </init-param>
                    </init-params>
               </serializer>
               <backing-map-scheme>
                    <local-scheme />
                    
               </backing-map-scheme>
               <autostart>true</autostart>
          </distributed-scheme>
          <distributed-scheme>
               <scheme-name>counter-scheme</scheme-name>
               <service-name>CounterDistributedCache</service-name>
               <serializer>
                    <class-name>com.tangosol.io.pof.ConfigurablePofContext</class-name>
                    <init-params>
                         <init-param>
                              <param-type>string</param-type>
                              <param-value>pof-config.xml</param-value>
                         </init-param>
                    </init-params>
               </serializer>
               <backing-map-scheme>
                    <local-scheme />
               </backing-map-scheme>
               <autostart>true</autostart>
          </distributed-scheme>
     </caching-schemes>
</cache-config>pof-config...
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE pof-config SYSTEM "pof-config.dtd">
<pof-config>
   <user-type-list>
      
      <include>coherence-pof-config.xml</include>
      
      <user-type>
         <type-id>1000</type-id>
         <class-name>com.oracle.coherence.cachecounter.event.CounterMapEventTransformer</class-name>
      </user-type>
      <user-type>
         <type-id>1001</type-id>
         <class-name>com.oracle.coherence.cachecounter.processors.CounterOp</class-name>
      </user-type>
   </user-type-list>
   <allow-interfaces>true</allow-interfaces>
   <allow-subclasses>true</allow-subclasses>
</pof-config>Test class
public class MapEventTransformerTest
    public static final String m_cacheName = "dist-test1";
    public static void setUp()
        System.setProperty("tangosol.coherence.cacheconfig", "counter-cacheconfig.xml");
        System.setProperty("tangosol.coherence.distributed.localstorage", "false");
    public static void loadVals()
        final NamedCache cache = CacheFactory.getCache(m_cacheName);
        final int MAX_SIZE = 100;
        for( int i=0; i<MAX_SIZE; i++ )
            cache.put(i, "msg "+i);
    public static void removeVals()
        final NamedCache cache = CacheFactory.getCache(m_cacheName);
        final int MAX_SIZE = 100;
        for( int i=0; i<MAX_SIZE; i++ )
            if( i%2==0 )
                cache.remove(i);
    public static void testTransformer()
        final NamedCache cache = CacheFactory.getCache(m_cacheName);
        cache.addMapListener(new CounterAwareListener(),
                new MapEventTransformerFilter(AlwaysFilter.INSTANCE, new CounterMapEventTransformer(m_cacheName)),
                false);
    public static void main(String[] args) throws IOException
        setUp();
        testTransformer();
        loadVals();
        removeVals();
        System.out.println("press a key to end...");
        System.in.read();
    public static class CounterAwareListener extends MultiplexingMapListener
        @Override
        protected void onMapEvent(MapEvent evt)
            System.out.format( "# of items in cache: %d\n", evt.getNewValue() );
    }Note: Events could be received out of order but for your use case where you are interested in a threshold you may not care! -- food for thought :)
--harvey

Cache Size using JMX MBeans

Hi All,
I need some clarifications.
The size of the cache retrived using a ObjectName("Coherence:type=Cache,service=DistributedCache,name=ABC,nodeId=1,tier=back") is specific to one node. if I have a 200 nodes in the cache the sum(all nodes size's) is the total cache size ?
in the same way Total Gets, Total Puts and other per node attributes ?
Is my assumption correct ?
Is there any possibilites that the Total Puts is greater than the size per node ?
Regards
S.

Hi S.
As far as I know your assumptions are correct, the sizes and counts of puts and gets are per-node so you would need to sum the up for the whole cluster.
The total puts can easily be greater than the size of the case for a number of reasons:
1. You have done multiple puts with the same key
2. You have deleted some entries
3. You have enabled expiry which has removed entries
JK

JRE 1.6.0_05 Plugin settings ignore cache size

Hi!
I just tried to reduce the cache size of my Java plugin and, however, this setting is ignored by the plugin. I set the size on 50 MB, but the plugin still caches temporary files in the default folder (C:\Dokumente und Einstellungen\mas\Anwendungsdaten\Sun\Java\Deployment\cache ...) - actually about 100 MB.
Does anybody knows why, or is this just a bug?
Is it okay, that the plugin caches all files of an applet several times, although it�s always the same applet (same version, same host, same everything...)?
Thank you in advance!
Best regards
Marc

Hey lynchmob,
Try these steps to correct the problem, you need to be logged in as an administrator:
1. Go to the group policy editor. You can get they by typing gpedit.msc into the Run dialog.
2. Navigate to computer configuration->administrative templates->windows components->internet explorer.
3. Disable "make proxy settings per-machine (rather than per-user)".
4. Login with the user account and go to Internet Options.
5. Go to the Connection tab.
6. Click on the Lan Settings button.
7. You may notice that the proxy settings are not correct. Change the proxy settings to be whatever is required for your proxy.
8. Configure Java to use browser proxy settings.
9. Open the java console.
10. Set debug level to 5.
11. Press 'p' to reload proxy settings. Use the trace messages to verify correct proxy settings were loaded.

Querie regarding cache sizes

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