[JBoss JIRA] (ISPN-5427) Change getAll to return ordered map
by Tristan Tarrant (JIRA)
[ https://issues.jboss.org/browse/ISPN-5427?page=com.atlassian.jira.plugin.... ]
Tristan Tarrant updated ISPN-5427:
----------------------------------
Fix Version/s: 9.2.0.Final
(was: 9.1.0.Final)
> Change getAll to return ordered map
> -----------------------------------
>
> Key: ISPN-5427
> URL: https://issues.jboss.org/browse/ISPN-5427
> Project: Infinispan
> Issue Type: Enhancement
> Components: Core, Remote Protocols
> Reporter: William Burns
> Assignee: William Burns
> Fix For: 9.2.0.Final
>
>
> Currently our getAll returns a map of entries that exist in the cache in any order. We could enhance this to return a map where the entries are in the same iteration order of the Set (important when the user uses a LinkedHashSet). We could even do something like List<V> getAll(List<K>) to show better ordering as an option too.
> This has 2 immediate advantages.
> 1. Remote getAll no longer requires to serialize all the keys in the response since it knows which values map to which keys based on what it sent.
> 2. Query results need ordered List as well. See query/src/main/java/org/infinispan/query/impl/EntityLoader.java
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[JBoss JIRA] (ISPN-5415) Expose protobuf entries to scripting
by Tristan Tarrant (JIRA)
[ https://issues.jboss.org/browse/ISPN-5415?page=com.atlassian.jira.plugin.... ]
Tristan Tarrant updated ISPN-5415:
----------------------------------
Fix Version/s: 9.2.0.Final
(was: 9.1.0.Final)
> Expose protobuf entries to scripting
> ------------------------------------
>
> Key: ISPN-5415
> URL: https://issues.jboss.org/browse/ISPN-5415
> Project: Infinispan
> Issue Type: Feature Request
> Components: Remote Querying
> Affects Versions: 8.0.0.Final
> Reporter: Adrian Nistor
> Assignee: Adrian Nistor
> Fix For: 9.2.0.Final
>
>
> We need an alternative API for Protostream marshalling that is easy to consume from scripting languages. The messages need to be unmarshalled into a map-like object that can be accessed easily from scripting languages. No marshaller implementation code should be provided by users, also no annotations.
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[JBoss JIRA] (ISPN-5357) Hot Rod protocol 3.0
by Tristan Tarrant (JIRA)
[ https://issues.jboss.org/browse/ISPN-5357?page=com.atlassian.jira.plugin.... ]
Tristan Tarrant updated ISPN-5357:
----------------------------------
Fix Version/s: 9.2.0.Final
(was: 9.1.0.Final)
> Hot Rod protocol 3.0
> --------------------
>
> Key: ISPN-5357
> URL: https://issues.jboss.org/browse/ISPN-5357
> Project: Infinispan
> Issue Type: Enhancement
> Reporter: Galder Zamarreño
> Assignee: Galder Zamarreño
> Fix For: 9.2.0.Final
>
>
> Infinispan should expose a single endpoint which should behave as follows:
> - by default offer an HTTP/1.1 RESTftul interface
> - through HTTP upgrade allow switching to better protocols
> - support an HTTP/2 RESTful interface
> - support Hot Rod 3.0, which would be a gRPC protocol with additional L2 and L3 intelligence for capable clients
> *UPDATE (6/10/2015)*: Hot Rod 3.0 could become a HTTP REST protocol taking advantage of existing infrastructure to deal with HTTP requests efficiently, and if it was based on HTTP 2.0, we could have binary data inside of it. Performance should be on par. Text mode could be available for debug or demos. This essentially would mean REST and Hot Rod would merge into one.
> A binary protocol rethink is needed to take better advantage of CPUs and buffering. This is based on the ideas of Martin Thompson's Simple Binary Encoding [blog post|http://mechanical-sympathy.blogspot.cz/2014/05/simple-binary-encoding.html]
> In essence, we need to move Hot Rod protocol towards having mostly fixed size fields, hence getting rid of `vInt` and `vLong` formats which although safe some bytes, they hinder long stream reading patterns.
> An optional part here would be whether to consider using SBE directly, but this JIRA should be mostly oriented at making sure we have a protocol that can be read fast and efficiently.
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[JBoss JIRA] (ISPN-5241) Cache topology updates should use the NO_FC flag
by Tristan Tarrant (JIRA)
[ https://issues.jboss.org/browse/ISPN-5241?page=com.atlassian.jira.plugin.... ]
Tristan Tarrant updated ISPN-5241:
----------------------------------
Fix Version/s: 9.2.0.Final
(was: 9.1.0.Final)
> Cache topology updates should use the NO_FC flag
> ------------------------------------------------
>
> Key: ISPN-5241
> URL: https://issues.jboss.org/browse/ISPN-5241
> Project: Infinispan
> Issue Type: Bug
> Components: Core, State Transfer
> Affects Versions: 7.1.0.Final
> Reporter: Dan Berindei
> Assignee: Dan Berindei
> Priority: Critical
> Fix For: 9.2.0.Final
>
>
> Topology updates are sent while holding the ClusterCacheStatus lock, so they should never block. However, when MFC is present, the topology update can block waiting for enough credits. As most CacheTopologyControlCommands need to acquire the ClusterCacheStatus lock, this can easily lead to a full remote-executor pool (and OOB pool) and the appearance of a deadlock.
> What's more, if one node is not responsive, it can block all the other nodes from receiving further topology updates. Topology updates should be as prompt as possible, so we should use the NO_FC flag to ensure that each node receives topology updates as soon as possible.
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[JBoss JIRA] (ISPN-5163) A write operation with the SKIP_LOCKING flag can roll back the transaction
by Tristan Tarrant (JIRA)
[ https://issues.jboss.org/browse/ISPN-5163?page=com.atlassian.jira.plugin.... ]
Tristan Tarrant updated ISPN-5163:
----------------------------------
Fix Version/s: 9.2.0.Final
(was: 9.1.0.Final)
> A write operation with the SKIP_LOCKING flag can roll back the transaction
> --------------------------------------------------------------------------
>
> Key: ISPN-5163
> URL: https://issues.jboss.org/browse/ISPN-5163
> Project: Infinispan
> Issue Type: Bug
> Components: Core
> Affects Versions: 7.0.3.Final, 7.1.0.Beta1
> Reporter: Dan Berindei
> Assignee: Dan Berindei
> Fix For: 9.2.0.Final
>
>
> When a write operation has the SKIP_LOCKING flag, it does not send a {{LockControlCommand}} to the primary owner, but it can send a {{ClusteredGetCommand}} with {{acquireRemoteLocks=true}} instead. The {{ClusteredGetCommmand}} will then execute a {{LockControlCommand}} with the origin not set properly, and {{TxInterceptor}} will roll back the transaction because the originator ({{null}}) appears to have left the cluster.
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[JBoss JIRA] (ISPN-5151) DistributedSharedCacheTwoNodesMapReduceTest.testInvokeMapReduceOnAllKeys random failures
by Tristan Tarrant (JIRA)
[ https://issues.jboss.org/browse/ISPN-5151?page=com.atlassian.jira.plugin.... ]
Tristan Tarrant updated ISPN-5151:
----------------------------------
Fix Version/s: 9.2.0.Final
(was: 9.1.0.Final)
> DistributedSharedCacheTwoNodesMapReduceTest.testInvokeMapReduceOnAllKeys random failures
> ----------------------------------------------------------------------------------------
>
> Key: ISPN-5151
> URL: https://issues.jboss.org/browse/ISPN-5151
> Project: Infinispan
> Issue Type: Bug
> Components: Core, Test Suite - Core
> Affects Versions: 7.0.3.Final
> Reporter: Dan Berindei
> Assignee: Dan Berindei
> Priority: Blocker
> Labels: testsuite_stability
> Fix For: 9.2.0.Final
>
>
> The method {{invokeMapReduce()}} doesn't really invoke the M/R task, it only creates it, and the execution only starts when the test method calls {{task.execute()}} explicitly. It shouldn't try to check the contents of the shared intermediary cache, because the intermediary cache may not exist yet - and it may accidentally create it with the wrong configuration. I get this error when I run only the {{testInvokeMapReduceOnAllKeys}} method:
> {noformat}
> 09:55:37,632 TRACE (testng-DistributedSharedCacheTwoNodesMapReduceTest:) [DefaultCacheManager] About to wire and start cache __tmpMapReduce
> 09:55:37,646 DEBUG (testng-DistributedSharedCacheTwoNodesMapReduceTest:) [MapReduceTask] Invoking CreateCacheCommand{cacheManager=null, cacheNameToCreate='__tmpMapReduce', cacheConfigurationName='__tmpMapReduce', start=true', size=2} across members [DistributedSharedCacheTwoNodesMapReduceTest-NodeA-19271, DistributedSharedCacheTwoNodesMapReduceTest-NodeB-10341]
> 10:32:56,324 ERROR (testng-DistributedSharedCacheTwoNodesMapReduceTest:) [UnitTestTestNGListener] Test testInvokeMapReduceOnAllKeys(org.infinispan.distexec.mapreduce.DistributedSharedCacheTwoNodesMapReduceTest) failed.
> org.infinispan.distexec.mapreduce.MapReduceException: Map phase failed
> at org.infinispan.distexec.mapreduce.MapReduceTask.executeMapPhase(MapReduceTask.java:607)
> at org.infinispan.distexec.mapreduce.MapReduceTask.executeHelper(MapReduceTask.java:473)
> at org.infinispan.distexec.mapreduce.MapReduceTask.execute(MapReduceTask.java:414)
> at org.infinispan.distexec.mapreduce.BaseWordCountMapReduceTest.testInvokeMapReduceOnAllKeys(BaseWordCountMapReduceTest.java:162)
> Caused by: org.infinispan.commons.CacheException: java.lang.NullPointerException
> at org.infinispan.distexec.mapreduce.MapReduceManagerImpl.mapAndCombineForDistributedReduction(MapReduceManagerImpl.java:105)
> at org.infinispan.distexec.mapreduce.MapReduceTask$MapTaskPart.invokeMapCombineLocally(MapReduceTask.java:1174)
> at org.infinispan.distexec.mapreduce.MapReduceTask$MapTaskPart.access$300(MapReduceTask.java:1101)
> at org.infinispan.distexec.mapreduce.MapReduceTask$MapTaskPart$1.call(MapReduceTask.java:1123)
> at org.infinispan.distexec.mapreduce.MapReduceTask$MapTaskPart$1.call(MapReduceTask.java:1119)
> at java.util.concurrent.FutureTask.run(FutureTask.java:262)
> at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:471)
> at java.util.concurrent.FutureTask.run(FutureTask.java:262)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> at java.lang.Thread.run(Thread.java:745)
> Caused by: java.lang.NullPointerException
> at org.infinispan.distexec.mapreduce.MapReduceManagerImpl.mapKeysToNodes(MapReduceManagerImpl.java:363)
> at org.infinispan.distexec.mapreduce.MapReduceManagerImpl.migrateIntermediateKeysAndValues(MapReduceManagerImpl.java:327)
> at org.infinispan.distexec.mapreduce.MapReduceManagerImpl.mapAndCombine(MapReduceManagerImpl.java:260)
> at org.infinispan.distexec.mapreduce.MapReduceManagerImpl.mapAndCombineForDistributedReduction(MapReduceManagerImpl.java:103)
> ... 10 more
> {noformat}
> Even if the check is moved after the M/R task is finished, it still wouldn't be correct, because the task only cleans up the shared intermediary cache asynchronously. So it needs to use {{eventually()}} to avoid errors like this:
> {noformat}
> 04:06:32,260 ERROR (testng-DistributedSharedCacheTwoNodesMapReduceTest:) [UnitTestTestNGListener] Test testInvokeMapReduceOnAllKeys(org.infinispan.distexec.mapreduce.DistributedSharedCacheTwoNodesMapReduceTest) failed.
> java.lang.AssertionError: Shared cache __tmpMapReduce is not empty. It has 5 keys/values: [ImmortalCacheEntry{key=IntermediateCompositeKey [taskId=88948a8b-2a8a-4c13-bc45-4dc3a9f6b0fb, key=is], value=org.infinispan.distexec.mapreduce.MapReduceManagerImpl$DeltaAwareList@21ae10d3}, ImmortalCacheEntry{key=IntermediateCompositeKey [taskId=88948a8b-2a8a-4c13-bc45-4dc3a9f6b0fb, key=JUDCon], value=org.infinispan.distexec.mapreduce.MapReduceManagerImpl$DeltaAwareList@108d6b51}, ImmortalCacheEntry{key=IntermediateCompositeKey [taskId=88948a8b-2a8a-4c13-bc45-4dc3a9f6b0fb, key=cool], value=org.infinispan.distexec.mapreduce.MapReduceManagerImpl$DeltaAwareList@77949e8f}, ImmortalCacheEntry{key=IntermediateCompositeKey [taskId=88948a8b-2a8a-4c13-bc45-4dc3a9f6b0fb, key=Infinispan], value=org.infinispan.distexec.mapreduce.MapReduceManagerImpl$DeltaAwareList@712a6071}, ImmortalCacheEntry{key=IntermediateCompositeKey [taskId=88948a8b-2a8a-4c13-bc45-4dc3a9f6b0fb, key=community], value=org.infinispan.distexec.mapreduce.MapReduceManagerImpl$DeltaAwareList@291bdf76}] expected:<0> but was:<5>
> at org.junit.Assert.fail(Assert.java:88)
> at org.junit.Assert.failNotEquals(Assert.java:743)
> at org.junit.Assert.assertEquals(Assert.java:118)
> at org.junit.Assert.assertEquals(Assert.java:555)
> at org.infinispan.distexec.mapreduce.DistributedSharedCacheTwoNodesMapReduceTest.invokeMapReduce(DistributedSharedCacheTwoNodesMapReduceTest.java:44)
> at org.infinispan.distexec.mapreduce.BaseWordCountMapReduceTest.testInvokeMapReduceOnAllKeys(BaseWordCountMapReduceTest.java:161)
> 04:06:32,579 TRACE (transport-thread-NodeA-p29577-t6:) [InvocationContextInterceptor] Invoked with command RemoveCommand{key=IntermediateCompositeKey [taskId=eb7da48a-5922-4671-9037-4077e209744c, key=RedHat], value=null, flags=null, valueMatcher=MATCH_ALWAYS} and InvocationContext [org.infinispan.context.SingleKeyNonTxInvocationContext@c0bbc61]
> {noformat}
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[JBoss JIRA] (ISPN-5093) Granularity of remote event listener implementations doing the same job
by Tristan Tarrant (JIRA)
[ https://issues.jboss.org/browse/ISPN-5093?page=com.atlassian.jira.plugin.... ]
Tristan Tarrant updated ISPN-5093:
----------------------------------
Fix Version/s: 9.2.0.Final
(was: 9.1.0.Final)
> Granularity of remote event listener implementations doing the same job
> -----------------------------------------------------------------------
>
> Key: ISPN-5093
> URL: https://issues.jboss.org/browse/ISPN-5093
> Project: Infinispan
> Issue Type: Enhancement
> Components: Remote Protocols
> Reporter: Galder Zamarreño
> Assignee: Galder Zamarreño
> Fix For: 9.2.0.Final
>
>
> Currently, if N clients add the same listener to a cache that does the same job, e.g. keeping a near cache consistent, this results in N server-side cluster listeners created, each potentially installed in different nodes. If one of those nodes fails, all clients that had a listener registered to that node will have to find a different node for this listener.
> The downsides of this approach is that there are as many cluster listeners installed as clients have added listeners (or have near cache enabled), which might not very efficient. If a node goes down, all clients that have cluster listeners there need to failover to some other node.
> The advantage of this approach is simplicity of the approach to decide where to add the listener and where to failover to.
> For this type of scenarios, an alternative set up might be worth exploring:
> If all these client side listeners are interested in exactly the same events, and the client ID would be exposed via the RemoteCache API, a server side cluster listener multi-plexing between all these clients could be potentially built. In other words, instead of having N clients register N cluster listeners, the first client would register the cluster listener with a client listener ID, and if more registrations were added with the same client listener ID, the connections would be added to the existing cluster listener implementation.
> The maximise the efficiency of this solution, all clients (even running in different JMVs), given the same client listener ID, should agree upon the node to add the listener in. For a distributed cache, hashing on the cache name would work. For replicated caches, since there's no hashing available, the first node of the view could be used.
> Since the logic to be executed server-side varies between being the first node adding the client listener vs the others, synchronization would be added to make sure that the first invocation only creates the cluster listener, and the others simply add the channel to the listener.
> Failover is a bit more tricky too, because if the node with the cluster listener goes down, all the clients have to failover, which again exposes a 1st vs the others type of logic.
> Advantages of this approach is the reduction in number of cluster listeners and potentially efficiency coming from a single cluster listener implementation server side.
> The disadvantages come from the server side logic to add/failover a cluster listener, which need to take into account if the listener is present or not. Other disadvantages come from needing the clients to use some specific routing for adding listeners for same node.
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