[JBoss JIRA] Created: (ISPN-1041) Ensure Callable isolation as it gets invoked across the cluster
by Vladimir Blagojevic (JIRA)
Ensure Callable isolation as it gets invoked across the cluster
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Key: ISPN-1041
URL: https://issues.jboss.org/browse/ISPN-1041
Project: Infinispan
Issue Type: Bug
Components: Distributed Cache
Affects Versions: 5.0.0.BETA1
Reporter: Vladimir Blagojevic
Assignee: Vladimir Blagojevic
Fix For: 5.0.0.CR1
If Callable submitted for distributed execution contains mutable instance fields they might get mutated locally before being sent for a remote execution thus potentially resulting in wrong results being returned to a task invoker. Just before Callable is dispersed across cluster it gets invoked locally where instance fields of a submitted Callable can be possibly mutated; Callable is in turn sent to remote nodes with mutated values instead of "original" field values as submitted by user.
We need to ensure that each execution node gets a pristine version of Callable object submitted by the user.
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12 years, 3 months
[JBoss JIRA] Created: (ISPN-1294) Run local operations from a DistributedExecutor in parallel
by Sanne Grinovero (JIRA)
Run local operations from a DistributedExecutor in parallel
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Key: ISPN-1294
URL: https://issues.jboss.org/browse/ISPN-1294
Project: Infinispan
Issue Type: Enhancement
Reporter: Sanne Grinovero
Assignee: Manik Surtani
Fix For: 5.1.0.ALPHA1
Looking into
{code}org.infinispan.distexec.DefaultExecutorService.invokeLocally(DistributedRunnableFuture<T>){code}
It seems that the operations are performed in the same thread as the invoker; if we happen to send multiple operations to the local node, these are performed in sequence, and in sequence with the remote operations. We should use an Executor for the local tasks.
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12 years, 3 months
[JBoss JIRA] Created: (ISPN-78) Large object support
by Manik Surtani (JIRA)
Large object support
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Key: ISPN-78
URL: https://jira.jboss.org/jira/browse/ISPN-78
Project: Infinispan
Issue Type: Feature Request
Components: Core API
Reporter: Manik Surtani
Assignee: Manik Surtani
Fix For: 5.0.0.GA
if each VM is allocated a 2GB heap and you have a 100 nodes in a grid with 1 redundant copy for each key, you have a theoretical addressable heap of 100GB. But you are limited by (half) the heap of a single VM per entry, since entries are stored whole.
E.g., cache.put(k, my2GBObject) will fail since you need at least 2GB for the object + another 2GB for its serialized form.
This gets worse when you try cache.put(k, my10GBObject). This *should* be possible if we have a theoretical 100GB heap.
Potential solutions here are to fragment large objects, and store each fragment under separate keys. Another approach would be to directly stream objects to disk. etc. Needs thought and design, possibly a separate API to prevent 'pollution" of the more simplistic API. (JumboCache?)
Re: fragmenting, issues to overcome:
How many chunks to fragment into? Max size of each key could be configured, but how do we determine the size of an Object? VM instrumentation? Or perhaps the JumboCache only stores byte[]'s?
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12 years, 3 months