我正在使用编年史地图 v3.10.1。在我的地图中,我有大约 77K 条目。我正在尝试使用entrySet()
方法遍历此地图。它没有成功迭代,并且在抛出 Chronicle 特定异常之间。以下是 Chronicle Map 产生的日志
016-09-17 06:39:15 [ERROR] n.o.c.m.i.CompiledMapIterationContext - Contexts locked on this segment:
net.openhft.chronicle.map.impl.CompiledMapIterationContext@205cd34b: used, segment 62, local state: UNLOCKED, read lock count: 0, update lock count: 0, write lock count: 0
Current thread contexts:
net.openhft.chronicle.map.impl.CompiledMapIterationContext@205cd34b: used, segment 62, local state: UNLOCKED, read lock count: 0, update lock count: 0, write lock count: 0
和例外:
2016-09-17 06:39:15 [ERROR] akka.dispatch.TaskInvocation - Failed to acquire the lock in 60 seconds.
Possible reasons:
- The lock was not released by the previous holder. If you use contexts API,
for example map.queryContext(key), in a try-with-resources block.
- This Chronicle Map (or Set) instance is persisted to disk, and the previous
process (or one of parallel accessing processes) has crashed while holding
this lock. In this case you should use ChronicleMapBuilder.recoverPersistedTo() procedure
to access the Chronicle Map instance.
- A concurrent thread or process, currently holding this lock, spends
unexpectedly long time (more than 60 seconds) in
the context (try-with-resource block) or one of overridden interceptor
methods (or MapMethods, or MapEntryOperations, or MapRemoteOperations)
while performing an ordinary Map operation or replication. You should either
redesign your logic to spend less time in critical sections (recommended) or
acquire this lock with tryLock(time, timeUnit) method call, with sufficient
time specified.
- Segment(s) in your Chronicle Map are very large, and iteration over them
takes more than 60 seconds. In this case you should
acquire this lock with tryLock(time, timeUnit) method call, with longer
timeout specified.
- This is a dead lock. If you perform multi-key queries, ensure you acquire
segment locks in the order (ascending by segmentIndex()), you can find
an example here: https://github.com/OpenHFT/Chronicle-Map#multi-key-queries
java.lang.RuntimeException: Failed to acquire the lock in 60 seconds.
Possible reasons:
- The lock was not released by the previous holder. If you use contexts API,
for example map.queryContext(key), in a try-with-resources block.
- This Chronicle Map (or Set) instance is persisted to disk, and the previous
process (or one of parallel accessing processes) has crashed while holding
this lock. In this case you should use ChronicleMapBuilder.recoverPersistedTo() procedure
to access the Chronicle Map instance.
- A concurrent thread or process, currently holding this lock, spends
unexpectedly long time (more than 60 seconds) in
the context (try-with-resource block) or one of overridden interceptor
methods (or MapMethods, or MapEntryOperations, or MapRemoteOperations)
while performing an ordinary Map operation or replication. You should either
redesign your logic to spend less time in critical sections (recommended) or
acquire this lock with tryLock(time, timeUnit) method call, with sufficient
time specified.
- Segment(s) in your Chronicle Map are very large, and iteration over them
takes more than 60 seconds. In this case you should
acquire this lock with tryLock(time, timeUnit) method call, with longer
timeout specified.
- This is a dead lock. If you perform multi-key queries, ensure you acquire
segment locks in the order (ascending by segmentIndex()), you can find
an example here: https://github.com/OpenHFT/Chronicle-Map#multi-key-queries
at net.openhft.chronicle.hash.impl.BigSegmentHeader.deadLock(BigSegmentHeader.java:59)
at net.openhft.chronicle.hash.impl.BigSegmentHeader.updateLock(BigSegmentHeader.java:231)
at net.openhft.chronicle.map.impl.CompiledMapIterationContext$UpdateLock.lock(CompiledMapIterationContext.java:768)
at net.openhft.chronicle.map.impl.CompiledMapIterationContext.forEachSegmentEntryWhile(CompiledMapIterationContext.java:3810)
at net.openhft.chronicle.map.impl.CompiledMapIterationContext.forEachSegmentEntry(CompiledMapIterationContext.java:3816)
at net.openhft.chronicle.map.ChronicleMapIterator.fillEntryBuffer(ChronicleMapIterator.java:61)
at net.openhft.chronicle.map.ChronicleMapIterator.hasNext(ChronicleMapIterator.java:77)
at java.lang.Iterable.forEach(Iterable.java:74)
它是一个单线程和持久化的映射。