Distributed Cache queries

Hi,
In a distributed cache scheme ( in multiple servers/jvm).
1. how to know which server is hosting what data (cache store) and the backup of this data is in which server?
2. Can this distribution be controlled? like a 'xyz' cache store is required to be in a specified '123' server only and that of the backup of 'xyz' cache store is required to be in '234' server?
Thanks,
~Ravi Shanker

Hi,
In a redundancy system only one server will be serving and the secondary will be idle. I just want to ensure that these idle systems are also used instead of lying idle.
Hence the question was raised on can we control the Distribution logic, where-in the least used data can be moved into these idle systems and re-direct the usage of data to these idle systems.In Coherence cluster, all the servers hold both primary and backup data, every is serving the requests and holding the backups as well so there are no idle systems.
but i have few things required for clarification.
While running the sample programs as per the documentation. We need to start a Default Cache Server and the java programs which act/add as cluster to the cache server.
But i have seen adding/acting of cluster is working even if the Default Cache Server is shut down?
Can u provide any info (links) or clarification how the Cache Server and Clusters mechanism work? Gone through the documentation but none has provided a clear picture of this?This is wrong assumption and every storage enabled node can become the cluster member. DefaultCacheServer is one of the implementations to run coherence server.
HTH
Cheers,
_NJ

Similar Messages

Set request timeout for distributed cache

Hi,
Coherence provides 3 parameters we can tune for the distributed cache
tangosol.coherence.distributed.request.timeout      The default client request timeout for distributed cache services
tangosol.coherence.distributed.task.timeout      The default server execution timeout for distributed cache services
tangosol.coherence.distributed.task.hung      the default time before a thread is reported as hung by distributed cache services
It seems these timeout values are used for both system activities (node discovery, data re-balance etc.) and user activities (get, put). We would like to set the request timeout for get/put. But a low threshold like 10 ms sometimes causes the system activities to fail. Is there a way for us to separately set the timeout values? Or even is it possible to setup timeout on individual calls (like get(key, timeout))?
-thanks

Hi,
not necessarily for get and put methods, but for queries, entry-processor and entry-aggregator and invocable agent sending, you can make the sent filter or aggregator or entry-processor or agent implement PriorityTask, which allows you to make QoS expectations known to Coherence. Most or all stock aggregators and entry-processors implement PriorityTask, if I correctly remember.
For more info, look at the documentation of PriorityTask.
Best regards,
Robert

Using Tangosol Coherence in conjunction with Kodo JDO for distributing caching

JDO currently has a perception problem in terms of performance. Transparent
persistence is perceived to have a significant performance overhead compared
to hand-coded JDBC. That was certainly true a while ago, when the first JDO
implementations were evaluated. They typically performed about half as well
and with higher resource requirements. No doubt JDO vendors have closed that
gap by caching PreparedStatements, queries, data, and by using other
optimizations.
Aside from the ease of programming through transparent persistence, I
believe that using JDO in conjunction with distributed caching techniques in
a J2EE managed environment has the opportunity to transparently give
scalability, performance, and availability improvements that would otherwise
be much more difficult to realize through other persistence techniques.
In particular, it looks like Tangosol is doing a lot of good work in the
area of distributed caching for J2EE. For example, executing parallelized
searches in a cluster is a capability that is pretty unique and potentially
very valuable to many applications. It would appear to me to be a lot of
synergy between Kodo JDO and Tangosol Coherence. Using Coherence as an
implementation of Kodo JDO's distributed cache would be a natural desire for
enterprise applications that have J2EE clustering requirements for high
scalability, performance, and availability.
I'm wondering if Solarmetric has any ideas or plans for closer integration
(e.g., pluggability) of Tangosol Coherence into Kodo JDO. This is just my
personal opinion, but I think a partnership between your two organizations
to do this integration would be mutually advantageous, and it would
potentially be very attractive to your customers.
Ben

Marc,
Thanks for pointing that out. That is truly excellent!
Ben
"Marc Prud'hommeaux" <[email protected]> wrote in message
news:[email protected]...
Ben-
We do currently have a plug-in for backing our data cache with a
Tangosol cache.
See: http://docs.solarmetric.com/manual.html#datastore_cache_config
In article <[email protected]>, Ben Eng wrote:
JDO currently has a perception problem in terms of performance.
Transparent
persistence is perceived to have a significant performance overheadcompared
to hand-coded JDBC. That was certainly true a while ago, when the firstJDO
implementations were evaluated. They typically performed about half aswell
and with higher resource requirements. No doubt JDO vendors have closedthat
gap by caching PreparedStatements, queries, data, and by using other
optimizations.
Aside from the ease of programming through transparent persistence, I
believe that using JDO in conjunction with distributed cachingtechniques in
a J2EE managed environment has the opportunity to transparently give
scalability, performance, and availability improvements that wouldotherwise
be much more difficult to realize through other persistence techniques.
In particular, it looks like Tangosol is doing a lot of good work in the
area of distributed caching for J2EE. For example, executingparallelized
searches in a cluster is a capability that is pretty unique andpotentially
very valuable to many applications. It would appear to me to be a lot of
synergy between Kodo JDO and Tangosol Coherence. Using Coherence as an
implementation of Kodo JDO's distributed cache would be a natural desirefor
enterprise applications that have J2EE clustering requirements for high
scalability, performance, and availability.
I'm wondering if Solarmetric has any ideas or plans for closerintegration
(e.g., pluggability) of Tangosol Coherence into Kodo JDO. This is justmy
personal opinion, but I think a partnership between your twoorganizations
to do this integration would be mutually advantageous, and it would
potentially be very attractive to your customers.
Ben--
Marc Prud'hommeaux [email protected]
SolarMetric Inc. http://www.solarmetric.com

Distributed Cache gets are very time consuming!!!!!

We have an application that uses Coherence as a distributed partitioned cache server.
Our problem is that the access to the near cache is very fast but the access to the remote servers is very cpu consuming (maybe for the deserialization of the objects retrieved) at such point that disabling the cache and reading the objects directly from the dbms (Oracle) improves the performances.
We use coherence as the second level cache of hibernate so we have not much control on how hibernate serialize and deserialize it's objects (we cannot implement a custom externalization).
Have you any experience of performance problems with the combination hibernate/tangosol and distributed cache?

Hi Giancarlo,
It's Jon, not Cameron ;)
The Hibernate cache API (including 3.0) does not support bulk-fetches from cache, which means that these cache fetches are serial rather than parallel. Depending on how much of your performance problem is network related, Coherence may actually perform much better than straight JDBC as the application load increases (time per request will remain similar, but won't increase much under heavier load).
The advantage to using the Coherence API (rather than Hibernate API) is that you have far better control over how your queries run. The drawback of course is that you have to code your own queries if they become more complex than search queries. As a result, it often makes sense to use Hibernate (or equivalent) for the bulk of your queries, then code specific queries directly against Coherence when performance really matters. A simple example of this is the ability to perform bulk gets (using <tt>NamedCache.getAll()</tt>). With queries that return hundreds or thousands of items, this can have a huge impact on performance (an order of magnitude or more depending on object complexity). You also get the ability to use XmlBean/ExternalizableLite and cluster-parallel search queries.
As an aside, with the Coherence cache servers, you should avoid making your JVM heaps excessively large. As a general rule of thumb, we recommend a 512MB heap size for cache servers, using as many instances as required to reach your desired cache capacity. Also, from what I've seen, 64-bit JVMs are less efficient with memory usage than 32-bit (though performance seems a bit better on the x86-64 platforms vs the 32-bit versions).
Jon Purdy
Tangosol, Inc.

Cached Queries and Memory

I recently learned about the cachedWithin attribute of the
cfquery tag. I have found a few places I wish to use this
attribute.
I am looking at the Caching page of the ColdFusion
Administrator and see the "Maximum number of cached queries" is set
at 100.
My question is, Is there anyway for me to see which query
result sets are currently cached? I suspect we cycle through 100
cached queries fairly quickly. Probably on average it would take
less then 10 minutes. Therefore, even if I set the cachedWithin
attribute to the last hour unless the query is called in the last
10 minutes the cached results will not be used. I would like to
figure out when the cached result set is actually used.
In addition, I wonder if anyone has suggestions on how to
determine the ideal value of the "Maximum number of cached
queries". I realize the large the number the more memory which will
be required and also it depends on the size of the result sets. We
have 1024 mb of memory available. It appears our memory usage it
usually around 50 mb. My thought was to slowly increase the cache
size but if someone has a rule of thumb I would appreciate it.
I guess I will add yet another question. On the Java and JVW
Settings page there are 2 fields "Min JVM Heap Size" and "Max JVM
Heap Size". We have the max set at 1024 and the min is blank. I
think I read somewhere we should set the min and max to the same
number. Anyone have any comments?
Thanks, Franz

Regarding query caching, I have two suggestions.
1. Go with the default and cease all thought on the topic.
2. Any query that includes user input should not be
cached.

Distributed Cache service stuck in Starting Provisioning

Hello,
I'm having problem with starting/stopping Distributed Cache service in one of the SharePoint 2013 farm servers. Initially, Distributed Cache was enabled in all the farm servers by default and it was running as a cluster. I wanted to remove it from all hosts
but one (APP server) using below PowerShell commands, which worked fine.
Stop-SPDistributedCacheServiceInstance -Graceful
Remove-SPDistributedCacheServiceInstance
But later I attempted to add the service back to two hosts (WFE servers) using below command and unfortunately one of them got stuck in the process. When I look at the Services on Server from Central Admin, the status says "Starting".
Add-SPDistributedCacheServiceInstance
Also, when I execute below script, the status says "Provisioning".
Get-SPServiceInstance | ? {($_.service.tostring()) -eq "SPDistributedCacheService Name=AppFabricCachingService"} | select Server, Status
I get "cacheHostInfo is null" error when I use "Stop-SPDistributedCacheServiceInstance -Graceful".
I tried below script,
$instanceName ="SPDistributedCacheService Name=AppFabricCachingService"
$serviceInstance = Get-SPServiceInstance | ? {($_.service.tostring()) -eq $instanceName -and ($_.server.name) -eq $env:computername}
$serviceInstance.Unprovision()
$serviceInstance.Delete()
,but it didn't work either, and I got below error.
"SPDistributedCacheServiceInstance", could not be deleted because other objects depend on it. Update all of these dependants to point to null or
different objects and retry this operation. The dependant objects are as follows:
SPServiceInstanceJobDefinition Name=job-service-instance-{GUID}
Has anyone come across this issue? I would appreciate any help.
Thanks!

Hi ,
Are you able to ping the server that is already running Distributed Cache on this server? For example:
ping WFE01
As you are using more than one cache host in your server farm, you must configure the first cache host running the Distributed Cache service to allow Inbound ICMP (ICMPv4) traffic through the firewall.If an administrator removes the first cache host from
the cluster which was configured to allow Inbound ICMP (ICMPv4) traffic through the firewall, you must configure the first server of the new cluster to allow Inbound ICMP (ICMPv4) traffic through the firewall.
You can create a rule to allow the incoming port.
For more information, you can refer to the blog:
http://habaneroconsulting.com/insights/Distributed-Cache-Needs-Ping#.U4_nmPm1a3A
Thanks,
Eric
Forum Support
Please remember to mark the replies as answers
if they help and unmark them if they provide no help. If you have feedback for TechNet Subscriber Support, contact [email protected]
Eric Tao
TechNet Community Support

How can i configure Distributed cache servers and front-end servers for Streamlined topology in share point 2013??

my question is regarding SharePoint 2013 Farm topology. if i want go with Streamlined topology and having (2 distribute cache and Rm servers+ 2 front-end servers+ 2 batch-processing servers+ cluster sql server) then how distributed servers will
be connecting to front end servers? Can i use windows 2012 NLB feature? if i use NLB and then do i need to install NLB to all distributed servers and front-end servers and split-out services? What will be the configuration regarding my scenario.
Thanks in Advanced!

For the Distributed Cache servers, you simply make them farm members (like any other SharePoint servers) and turn on the Distributed Cache service (while making sure it is disabled on all other farm members). Then, validate no other services (except for
the Foundation Web service due to ease of solution management) is enabled on the DC servers and no end user requests or crawl requests are being routed to the DC servers. You do not need/use NLB for DC.
Trevor Seward
Follow or contact me at...
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This post is my own opinion and does not necessarily reflect the opinion or view of Microsoft, its employees, or other MVPs.

Foundation 2013 Farm and Distributed Cache settings

We are on a 3 tier farm - 1 WFE + 1APP + 1SQL - have had many issues with AppFab and Dist Cache; and an additional issue with noderunner/Search Services. Memory and CPU running very high. Read that we shouldn't be running Search
and Dist Cache in the same server, nor using a WFE as a cache host. I don't have the budget to add another server in my environment.
I found an article (IderaWP_CachingFormSharePointPerformance.pdf) saying "To make use of SharePoint's caching capabilities requires a Server version of the platform." because it requires the publishing feature, which Foundation doesn't have.
So, I removed Distributed Cache (using Powershell) from my deployment and disabled the AppFab. This resolved 90% of server errors but performance didn't improve. Now, not only I'm getting errors now on Central Admin. - expects Dist Cache
- but I'm getting disk operations reading of 4000 ms.
Questions:
1) Should I enable AppFab and disable cache?
2) Does Foundation support Dist Cache? Do I need to run Distributed Cache?
3) If so, can I run with just 1 cache host? If I shouldn't run it on a WFE or an App server with Search, do I have to stop Search all together? What happens with 2 tier farms out there?
4) Reading through the labyrinth of links on TechNet and MSDN on the subject, most of them says "Applies to SharePoint Server".
5) Anyone out there on a Foundation 2013 production environment that could share your experience?
Thanks in advance for any help with this!
Monica
Monica

That article is referring to BlobCache, not Distributed Cache. BlobCache requires Publishing, hence Server, but DistributedCache is required on all SharePoint 2013 farms, regardless of edition.
I would leave your DistCache on the WFE, given the App Server likely runs Search. Make sure you install
AppFabric CU5 and make sure you make the changes as noted in the KB for
AppFabric CU3.
You'll need to separately investigate your disk performance issues. Could be poor disk layout, under spec'ed disks, and so on. A detail into the disks that support SharePoint would be valuable (type, kind, RPM if applicable, LUNs in place, etc.).
Trevor Seward
Follow or contact me at...
&nbsp&nbsp
This post is my own opinion and does not necessarily reflect the opinion or view of Microsoft, its employees, or other MVPs.

Limitation on number of objects in distributed cache

Hi,
Is there a limitation on the number (or total size) of objects in a distributed cache? I am seeing a big increase in response time when the number of objects exceeds 16,000. Normally, the ServiceMBean.RequestAverageDuration value is in the 6-8ms range as long as the number of objects in the cache is less than 16K - I've run our application for weeks at a time without seeing any problems. However, once the number of objects exceeds the magic number of 16K the average request duration almost immediately jumps to over 100ms and continues to climb as more objects are added.
I'm fairly confident that the cache is indexed properly (as Dimitri helped us with that). Are there any configuration changes that could possibly help out here? We are using Coherence 3.3.
Any suggestions would be greatly appreciated.
Thanks,
Jim

Hi Jim,
The results from the load test look quite normal, the system fairly quickly stabilizes at a particular performance level and remains there for the duration of the test. In terms of latency results, we see that the cache.putAll operations are taking ~45ms per bulk operation where each operation is putting 100 1K items, for cache.getAll operations we see about ~15ms per bulk operation. Additionally note that the test runs over 256,000 items, so it is well beyond the 16,000 limit you've encountered.
So it looks like your application are exhibiting different behavior then this test. You may wish to try to configure this test to behave as similarly to yours as possible. For instance you can set the size of the cache to just over/under 16,000 using the -entries parameter, set the size of the entries to 900 bytes using the -size parameter, and set the total number of threads per worker using the -threads parameter.
What is quite interesting is that at 256,000 1K objects the latency measured with this test is apparently less then half the latency you are seeing with a much smaller cache size. This would seem to point at the issue being related to or rooted in your test. Would you be able to provide a more detailed description of how you are using the cache, and the types of operations you are performing.
thanks,
mark

Error message when using a MessageListener using a distributed cache

Hi --
I'm getting the following error message when I attach a message listener to a distributed cache. I get the same message if I attach the listener to the NearCache in front of the DistributedCache, or to the DistributedCache itself.
My message listener listens for a create() operation and writes the created value out to the database. Both the key and value are java objects that are getting "serialized" when they're pushed in the cache. The listener is never called.
The error spits out two messages, which look like:
2003-04-07 21:48:05.281 Tangosol Coherence 2.1/239 <Error> (thread=DistributedCache:EventDispatcher): An exception occurred while dispatching this event:
CacheEvent: MapEvent{com.tangosol.coherence.component.util.daemon.queueProcessor
.service.DistributedCache$BinaryMap added: key=Binary(length=269, value=0x0005AC
ED000573720021636F6D2E6F6C742E646174612E696E7465726E616C2E4461746162617365554944
6FABB5383C6013B402000078720021636F6D2E6F6C742E646174612E696E7465726E616C2E416273
7472616374554944D04F591196E4DC1B0200024C000D657874656E73696F6E4461746174000F4C6A
6176612F7574696C2F4D61703B4C0009756964537472696E677400124C6A6176612F6C616E672F53
7472696E673B7870737200116A6176612E7574696C2E486173684D61700507DAC1C31660D1030002
46000A6C6F6164466163746F724900097468726573686F6C6478703F400000000000087708000000
0B0000000078740011363930395F436F6D706F6E656E74426964), value=Binary(length=1069,
value=0x0005ACED000573720026636F6D2E6562726576696174652E61756374696F6E2E6269642
E436F6D706F6E656E744269648EC95C4DE33A88D802000D5A0007626573744269644A000B6269645
3657175656E6365440004636F73745A0007696E697469616C5A00066E65774269645A00067469654
2696444000576616C75654C000B61756374696F6E4D6F64657400294C636F6D2F656272657669617
4652F61756374696F6E2F6576656E742F41756374696F6E4D6F64653B4C000A61756374696F6E554
9447400124C636F6D2F6F6C742F646174612F5549443B4C000A636F6D70616E7955494471007E000
24C000C636F6D706F6E656E7455494471007E00024C000A737472696E67436F73747400124C6A617
6612F6C616E672F537472696E673B4C000B737472696E6756616C756571007E00037872002D636F6
D2E6562726576696174652E636F6D6D6F6E2E416273747261637450657273697374656E744F626A6
56374497E2729A24CA5790200034C000A637265617465446174657400104C6A6176612F7574696C2
F446174653B4C000375696471007E00024C000A7570646174654461746571007E000578707372000
E6A6176612E7574696C2E44617465686A81014B59741903000078707708000000F46B9A286278737
20021636F6D2E6F6C742E646174612E696E7465726E616C2E44617461626173655549446FABB5383
C6013B402000078720021636F6D2E6F6C742E646174612E696E7465726E616C2E416273747261637
4554944D04F591196E4DC1B0200024C000D657874656E73696F6E4461746174000F4C6A6176612F7
574696C2F4D61703B4C0009756964537472696E6771007E00037870737200116A6176612E7574696
C2E486173684D61700507DAC1C31660D103000246000A6C6F6164466163746F72490009746872657
3686F6C6478703F4000000000000877080000000B0000000078740011363930395F436F6D706F6E6
56E744269647371007E00077708000000F46B9A286278000000000000000000402E0000000000000
00000402E00000000000073720027636F6D2E6562726576696174652E61756374696F6E2E6576656
E742E41756374696F6E4D6F6465BD0C9E245C328B4F02000078720029636F6D2E656272657669617
4652E636F6D6D6F6E2E41627374726163745479706553616665456E756D506D8C41B0144DB302000
249000A696E744C69746572616C4C000D737472696E674C69746572616C71007E000378700000000
374000A50524F44554354494F4E7371007E00097371007E000D3F4000000000000877080000000B0
00000007874000A38335F41756374696F6E7371007E00097371007E000D3F4000000000000877080
000000B000000007874000A34325F436F6D70616E797371007E00097371007E000D3F40000000000
00877080000000B00000000787400103131315F426964436F6D706F6E656E747070)}
2003-04-07 21:48:05.687 Tangosol Coherence 2.1/239 <Warning> (thread=CoherenceLogger): Asynchronous logging character limit exceeded; discarding 3 log messages (lines=17, chars=1416)

Kris,
First of all you should increase the value of logging-config/character-limit element in tangosol-coherence.xml to see the message entirely. The default setting is 4096 which is not enough to see your exception text.
When you do that I believe you will see that the actual exception is java.lang.ClassNotFoundException indicating that the node that has the listener installed doesn't know about the class that is being put into the cache and could be easily fixed as shown here: http://www.tangosol.com/faq-coherence.jsp#classnotfound
Please let me know if that doesn't help.
Gene

Distributed cache

HI,
We have a server (Server 1), on which the status of the Distributed cache was in "Error Starting" state.
While applying a service pack due to some issue we were unable to apply the path (Server 1) so we decided to remove the effected server from the farm and work on it. the effected server (Server 1) was removed from the farm through the configuration wizard.
Even after running the configuration wizard we were still able to see the server (Server 1) on the SharePoint central admin site (Servers in farm) when clicked, the service "Distributed cache" was still visible with a status "Error Starting",
tried deleting the server from the farm and got an error message, the ULS logs displayed the below.
A failure occurred in SPDistributedCacheServiceInstance::UnprovisionInternal. cacheHostInfo is null for host 'servername'.
8130ae9c-e52e-80d7-aef7-ead5fa0bc999
A failure occurred SPDistributedCacheServiceInstance::UnprovisionInternal()... isGraceFulShutDown 'False' , isGraceFulShutDown, Exception 'System.InvalidOperationException: cacheHostInfo is null at Microsoft.SharePoint.DistributedCaching.Utilities.SPDistributedCacheServiceInstance.UnProvisionInternal(Boolean
isGraceFulShutDown)'
8130ae9c-e52e-80d7-aef7-ead5fa0bc999
A failure occurred SPDistributedCacheServiceInstance::UnProvision() , Exception 'System.InvalidOperationException: cacheHostInfo is null at Microsoft.SharePoint.DistributedCaching.Utilities.SPDistributedCacheServiceInstance.UnProvisionInternal(Boolean
isGraceFulShutDown) at Microsoft.SharePoint.DistributedCaching.Utilities.SPDistributedCacheServiceInstance.Unprovision()'
8130ae9c-e52e-80d7-aef7-ead5fa0bc999
We are unable to perform any operation install/repair of SharePoint on the effected server (Server 1), as the server is no longer in the farm, we are unable to run any powershell commands.
Questions:-
What would cause that to happen?
Is there a way to resolve this issue? (please provide the steps)
Satyam

Hi
try this:
http://edsitonline.com/2014/03/27/unexpected-exception-in-feedcacheservice-isrepopulationneeded-unable-to-create-a-datacache-spdistributedcache-is-probably-down/
Hope this helps. Please remember to click “Mark as Answer” on the post that helps you, and to click “Unmark as Answer” if a marked post does not actually answer your question. This can be beneficial to other community members reading the thread.

Error handling for distributed cache synchronization

Hello,
Can somebody explain to me how the error handling works for the distributed cache synchronization ?
Say I have four nodes of a weblogic cluster and 4 different sessions on each one of those nodes.
On Node A an update happens on object B. This update is going to be propogated to all the other nodes B, C, D. But for some reason the connection between node A and node B is lost.
In the following xml
<cache-synchronization-manager>
<clustering-service>...</clustering-service>
<should-remove-connection-on-error>true</should-remove-connection-on-error>
If I set this to true does this mean that the Toplink will stop sending updates from node A to node B ? I presume all of this is transparent. In order to handle any errors I do not have to write any code to capture this kind of error .
Is that correct ?
Aswin.

This "should-remove-connection-on-error" option mainly applies to RMI or RMI_IIOP cache synchronization. If you use JMS for cache synchronization, then connectivity and error handling is provided by the JMS service.
For RMI, when this is set to true (which is the default) if a communication exception occurs in sending the cache synchronization to a server, that server will be removed and no longer synchronized with. The assumption is that the server has gone down, and when it comes back up it will rejoin the cluster and reconnect to this server and resume synchronization. Since it will have an empty cache when it starts back up, it will not have missed anything.
You do not have to perform any error handling, however if you wish to handle cache synchronization errors you can use a TopLink Session ExceptionHandler. Any cache synchronization errors will be sent to the session's exception handler and allow it to handle the error or be notified of the error. Any errors will also be logged to the TopLink session's log.

High-units reflect twice the amount with dual JVM's in a distributed cache

HI all,
I have a question - i have a near cache scheme defined - running 4 JVM's with my application deployed to it (localstorage=false) - and 2 JVM's for the distributed cache (localstorage=true)
The high-units is set to 2000 - but the cache is allowing 4000. Is this b/c each JVM will allow for 2000 high-units each?
I was under the impression that as long as coherence is running in the same multi-cast address and port - that the total high-units would be 2000 not 4000.
Thanks...

user644269 wrote:
HI all,
I have a question - i have a near cache scheme defined - running 4 JVM's with my application deployed to it (localstorage=false) - and 2 JVM's for the distributed cache (localstorage=true)
The high-units is set to 2000 - but the cache is allowing 4000. Is this b/c each JVM will allow for 2000 high-units each?
I was under the impression that as long as coherence is running in the same multi-cast address and port - that the total high-units would be 2000 not 4000.
Thanks...Hi,
the high-unit setting is per-backing map, so in your case it means 2000 units per storage-enabled nodes.
From 3.5 it will become a bit more complex with the partition aware backing maps.
Best regards,
Robert

The Security Token Service is not available error on dedicated Distributed Cache server

I have an error on a dedicated Distributed Cache server stating that the Security Token Service is not available. I was under the impression that when Distributed Cache was running on a dedicated server that the only service that should be enabled
is Distributed Cache.
The token service is working as expected on all other servers but this one. Does this service need to be started or should I just ignore this error message?
Jennifer Knight (MCITP, MCPD)

as per my little experience with 2013, if STS is working fine on Web server then I am sure that sharepoint will be fine...Distributed cache stores the ST issued by STS. NO need to worry about this error.
Login
Token Cache
DistributedLogonTokenCache
This
cache stores the security token issued by a Secure Token Service for use by any web server in the server farm. Any web server that receives a request for resources can access the security token from the cache, authenticate the user, and provide access to the
resources requested.
I would say check the ULS logs and get more details about the error why its not working on that server.
Please remember to mark your question as answered &Vote helpful,if this solves/helps your problem. ****************************************************************************************** Thanks -WS MCITP(SharePoint 2010, 2013) Blog: http://wscheema.com/blog

Query from Distributed Cache

Hi
I am newbie to Oracle Coherence and trying to get a hands on experience by running a example (coherence-example-distributedload.zip) (Coherence GE 3.6.1). I am running two instances of server . After this I ran "load.cmd" to distribute data across two server nodes - I can see that data is partitioned across server instances.
Now I run another instance(on another JVM) of program which will try to join the distributed cache and try to query on the loaded on server instances. I see that the new JVM is joining the cluster and querying for data returns no records. Can you please tell me if I am missing something?
     NamedCache nNamedCache = CacheFactory.getCache("example-distributed");
     Filter eEqualsFilter = new GreaterFilter("getLocId", "1000");
     Set keySet = nNamedCache.keySet(eEqualsFilter);
I see here that keySet has no records. Can you please help?
Thanks
sunder

I got this problem sorted out - the was problem cache-config.xml.. The correct one looks as below.
<distributed-scheme>
<scheme-name>example-distributed</scheme-name>
<service-name>DistributedCache1</service-name>
<backing-map-scheme>
     <read-write-backing-map-scheme>
     <scheme-name>DBCacheLoaderScheme</scheme-name>
     <internal-cache-scheme>
     <local-scheme>
     <scheme-ref>DBCache-eviction</scheme-ref>
     </local-scheme>
     </internal-cache-scheme>
          <cachestore-scheme>
          <class-scheme>
               <class-name>com.test.DBCacheStore</class-name>
               <init-params>
                              <init-param>
                                   <param-type>java.lang.String</param-type>
                                   <param-value>locations</param-value>
                              </init-param>
                              <init-param>
                                   <param-type>java.lang.String</param-type>
                                   <param-value>{cache-name}</param-value>
                              </init-param>
               </init-params>
               </class-scheme>
          </cachestore-scheme>
          <cachestore-timeout>6000</cachestore-timeout>
          <refresh-ahead-factor>0.5</refresh-ahead-factor>
     </read-write-backing-map-scheme>
     </backing-map-scheme>
     <thread-count>10</thread-count>
<autostart>true</autostart>
</distributed-scheme>
<invocation-scheme>
<scheme-name>example-invocation</scheme-name>
<service-name>InvocationService1</service-name>
<autostart system-property="tangosol.coherence.invocation.autostart">true</autostart>
</invocation-scheme>
Missed <class-scheme> element inside <cachestore-scheme> of <read-write-backing-map-scheme>.
Thanks
sunder

Distributed Cache queries

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