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From "Benedict (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (CASSANDRA-14554) LifecycleTransaction encounters ConcurrentModificationException when used in multi-threaded context
Date Wed, 07 Nov 2018 16:50:00 GMT

    [ https://issues.apache.org/jira/browse/CASSANDRA-14554?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16678497#comment-16678497
] 

Benedict commented on CASSANDRA-14554:
--------------------------------------

Hi [~Stefania]. Thanks for the patch!

I haven't reviewed it, but just skimming it, I wonder if you had considered (and potentially
discarded) what might be a slightly simpler approach of allocating a separate {{LifecycleTransaction}}
for each operation, and atomically transferring their contents as they "complete" to the shared
{{LivecycleTransaction}}?

Semantically the behaviour remains the same as today, but we should need to minimally change
existing code - just encapsulate the offending {{LifecycleTransaction}} to avoid future temptation
for unsafe access, and introduce a {{transferTo}} method (or equivalent) to update the shared
state.

What do you think?

> LifecycleTransaction encounters ConcurrentModificationException when used in multi-threaded
context
> ---------------------------------------------------------------------------------------------------
>
>                 Key: CASSANDRA-14554
>                 URL: https://issues.apache.org/jira/browse/CASSANDRA-14554
>             Project: Cassandra
>          Issue Type: Bug
>            Reporter: Dinesh Joshi
>            Assignee: Dinesh Joshi
>            Priority: Major
>
> When LifecycleTransaction is used in a multi-threaded context, we encounter this exception
-
> {quote}java.util.ConcurrentModificationException: null
>  at java.util.LinkedHashMap$LinkedHashIterator.nextNode(LinkedHashMap.java:719)
>  at java.util.LinkedHashMap$LinkedKeyIterator.next(LinkedHashMap.java:742)
>  at java.lang.Iterable.forEach(Iterable.java:74)
>  at org.apache.cassandra.db.lifecycle.LogReplicaSet.maybeCreateReplica(LogReplicaSet.java:78)
>  at org.apache.cassandra.db.lifecycle.LogFile.makeRecord(LogFile.java:320)
>  at org.apache.cassandra.db.lifecycle.LogFile.add(LogFile.java:285)
>  at org.apache.cassandra.db.lifecycle.LogTransaction.trackNew(LogTransaction.java:136)
>  at org.apache.cassandra.db.lifecycle.LifecycleTransaction.trackNew(LifecycleTransaction.java:529)
> {quote}
> During streaming we create a reference to a {{LifeCycleTransaction}} and share it between
threads -
> [https://github.com/apache/cassandra/blob/5cc68a87359dd02412bdb70a52dfcd718d44a5ba/src/java/org/apache/cassandra/db/streaming/CassandraStreamReader.java#L156]
> This is used in a multi-threaded context insideĀ {{CassandraIncomingFile}} which is anĀ {{IncomingStreamMessage}}.
This is being deserialized in parallel.
> {{LifecycleTransaction}} is not meant to be used in a multi-threaded context and this
leads to streaming failures due to object sharing. On trunk, this object is shared across
all threads that transfer sstables in parallel for the given {{TableId}} in a {{StreamSession}}.
There are two options to solve this - make {{LifecycleTransaction}} and the associated objects
thread safe, scope the transaction to a single {{CassandraIncomingFile}}. The consequences
of the latter option is that if we experience streaming failure we may have redundant SSTables
on disk. This is ok as compaction should clean this up. A third option is we synchronize access
in the streaming infrastructure.



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