[JBoss JIRA] (ISPN-5077) Custom remote events can be slightly inefficient
by Galder Zamarreño (JIRA)
[ https://issues.jboss.org/browse/ISPN-5077?page=com.atlassian.jira.plugin.... ]
Galder Zamarreño updated ISPN-5077:
-----------------------------------
Fix Version/s: 9.0.0.Beta3
(was: 9.0.0.Beta2)
> Custom remote events can be slightly inefficient
> ------------------------------------------------
>
> Key: ISPN-5077
> URL: https://issues.jboss.org/browse/ISPN-5077
> Project: Infinispan
> Issue Type: Enhancement
> Components: Remote Protocols
> Affects Versions: 7.0.2.Final
> Reporter: Galder Zamarreño
> Fix For: 9.0.0.Beta3
>
>
> Something we might want to improve for Hot Rod 3.0 protocol:
> [16:40] <galderz> i've been thinking further about converters, and I think i've found a slight mismatch between what converter means for embedded listeners vs remote listeners
> [16:40] <wburns> oh yeah?
> [16:40] <galderz> for embedded listeners, it essentially transforms what you see as `value`
> [16:41] <galderz> with the knowledge that key and metadata information will be shipped
> [16:41] <galderz> the way i mapped converter to remote listeners is that whatever the converter returns, we ship that, as is, to the client
> [16:41] <galderz> so, if a remote listener wants a custom event that includes key + value
> [16:41] <galderz> it needs to develop a converter impl that returns bytes containing key + value
> [16:41] <galderz> which is inefficient because you are passing around the key twice
> [16:42] <galderz> once as part of the event itself, and again inside the converted value
> [16:42] <galderz> inefficient from the POV of shipping stuff around from other nodes to where the cluster listener is located
> [16:44] <wburns> yeah makes sense
> [16:44] <galderz> not a major issue but not easy to fix without changing semantics or public protocol
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[JBoss JIRA] (ISPN-5151) DistributedSharedCacheTwoNodesMapReduceTest.testInvokeMapReduceOnAllKeys random failures
by Galder Zamarreño (JIRA)
[ https://issues.jboss.org/browse/ISPN-5151?page=com.atlassian.jira.plugin.... ]
Galder Zamarreño updated ISPN-5151:
-----------------------------------
Fix Version/s: 9.0.0.Beta3
(was: 9.0.0.Beta2)
> 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: 9.0.0.Beta3
>
>
> 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 Galder Zamarreño (JIRA)
[ https://issues.jboss.org/browse/ISPN-5093?page=com.atlassian.jira.plugin.... ]
Galder Zamarreño updated ISPN-5093:
-----------------------------------
Fix Version/s: 9.0.0.Beta3
(was: 9.0.0.Beta2)
> 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: 9.0.0.Beta3
>
>
> 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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[JBoss JIRA] (ISPN-5083) Hot Rod decoder should use async Cache operations
by Galder Zamarreño (JIRA)
[ https://issues.jboss.org/browse/ISPN-5083?page=com.atlassian.jira.plugin.... ]
Galder Zamarreño updated ISPN-5083:
-----------------------------------
Fix Version/s: 9.0.0.Beta3
(was: 9.0.0.Beta2)
> Hot Rod decoder should use async Cache operations
> -------------------------------------------------
>
> Key: ISPN-5083
> URL: https://issues.jboss.org/browse/ISPN-5083
> Project: Infinispan
> Issue Type: Enhancement
> Components: Remote Protocols
> Reporter: Galder Zamarreño
> Assignee: Gustavo Fernandes
> Fix For: 9.0.0.Beta3
>
>
> Hot Rod decoder is currently tying up Netty threads as a result of calling up to Infinispan sync operations. Instead, Hot Rod decoder should call up async operations, convert the Notifying Futures to Scala Futures, and write up the reply when it's received. This should increase performance specially under heavy load.
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[JBoss JIRA] (ISPN-5210) Support writing multiple modifications to cache stores in batch when using Transactions
by Galder Zamarreño (JIRA)
[ https://issues.jboss.org/browse/ISPN-5210?page=com.atlassian.jira.plugin.... ]
Galder Zamarreño updated ISPN-5210:
-----------------------------------
Fix Version/s: 9.0.0.Beta3
(was: 9.0.0.Beta2)
> Support writing multiple modifications to cache stores in batch when using Transactions
> ---------------------------------------------------------------------------------------
>
> Key: ISPN-5210
> URL: https://issues.jboss.org/browse/ISPN-5210
> Project: Infinispan
> Issue Type: Feature Request
> Components: Loaders and Stores
> Affects Versions: 6.0.2.Final, 7.1.0.Final
> Reporter: Richard Lucas
> Assignee: Ryan Emerson
> Fix For: 9.0.0.Beta3
>
>
> Currently writes to a cache store are performed individually for each modification to the cache.
> While this makes sense when using a non-tx cache it would be beneficial to support writing multiple modifications to a cache store in a single call when using a Tx cache.
> Currently all writes are performed in the commit phase and are done by looping through the modifications in the Tx and writing each one in turn to the the store.
> Instead of doing this it would useful to pass all modifications to the store in a single call, this would allow:
> a) Taking advantage of support for batch updates in underlying stores (JDBC, MongoDB, DynamoDB) for a more efficient write through.
> b) Allow store implementations the chance to clean up if one or more updates in the batch fail (this is especially useful if the store does not support Tx and rollbacks as it means the store implementation can at least try to clean up any partial updates it has performed, something which is not currently possible).
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[JBoss JIRA] (ISPN-5163) A write operation with the SKIP_LOCKING flag can roll back the transaction
by Galder Zamarreño (JIRA)
[ https://issues.jboss.org/browse/ISPN-5163?page=com.atlassian.jira.plugin.... ]
Galder Zamarreño updated ISPN-5163:
-----------------------------------
Fix Version/s: 9.0.0.Beta3
(was: 9.0.0.Beta2)
> 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: 9.0.0.Beta3
>
>
> 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-5427) Change getAll to return ordered map
by Galder Zamarreño (JIRA)
[ https://issues.jboss.org/browse/ISPN-5427?page=com.atlassian.jira.plugin.... ]
Galder Zamarreño updated ISPN-5427:
-----------------------------------
Fix Version/s: 9.0.0.Beta3
(was: 9.0.0.Beta2)
> 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: 9.0.0.Beta3
>
>
> 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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