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Added ZooKeeper instrumentation for enhanced stats #436
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merlimat
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type/enhancement
The enhancements for the existing features or docs. e.g. reduce memory usage of the delayed messages
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May 30, 2017
rdhabalia
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Jun 8, 2017
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hangc0276
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May 26, 2021
Fix apache#431 ### Motivation When multi consumers poll the same topic for the same position at the same time, it may trigger KafkaTopicConsumerManager#consumers concurrentHashMap deadlock and block the following read/write operation related to the same topic. ### Deadlock Parse deadlock stack ``` "bookkeeper-ml-workers-OrderedExecutor-0-0" apache#141 prio=5 os_prio=0 tid=0x00007f4866042000 nid=0x1013 waiting on condition [0x00007f47c9ad6000] java.lang.Thread.State: WAITING (parking) at sun.misc.Unsafe.park(Native Method) - parking to wait for <0x00000000865b0b58> (a org.apache.pulsar.common.util.collections.ConcurrentLongHashMap$Section) at java.util.concurrent.locks.StampedLock.acquireWrite(StampedLock.java:1119) at java.util.concurrent.locks.StampedLock.writeLock(StampedLock.java:354) at org.apache.pulsar.common.util.collections.ConcurrentLongHashMap$Section.put(ConcurrentLongHashMap.java:272) at org.apache.pulsar.common.util.collections.ConcurrentLongHashMap.putIfAbsent(ConcurrentLongHashMap.java:129) at io.streamnative.pulsar.handlers.kop.KafkaTopicConsumerManager.add(KafkaTopicConsumerManager.java:258) at io.streamnative.pulsar.handlers.kop.MessageFetchContext.lambda$null$10(MessageFetchContext.java:342) at io.streamnative.pulsar.handlers.kop.MessageFetchContext$$Lambda$1021/1882277105.accept(Unknown Source) at java.util.concurrent.CompletableFuture.uniAccept(CompletableFuture.java:656) at java.util.concurrent.CompletableFuture.uniAcceptStage(CompletableFuture.java:669) at java.util.concurrent.CompletableFuture.thenAccept(CompletableFuture.java:1997) at io.streamnative.pulsar.handlers.kop.MessageFetchContext.lambda$null$12(MessageFetchContext.java:337) at io.streamnative.pulsar.handlers.kop.MessageFetchContext$$Lambda$1020/843113083.accept(Unknown Source) at java.util.concurrent.ConcurrentHashMap$EntrySetView.forEach(ConcurrentHashMap.java:4795) at io.streamnative.pulsar.handlers.kop.MessageFetchContext.lambda$readMessagesInternal$13(MessageFetchContext.java:328) at io.streamnative.pulsar.handlers.kop.MessageFetchContext$$Lambda$1015/1232352552.accept(Unknown Source) at java.util.concurrent.CompletableFuture.uniWhenComplete(CompletableFuture.java:760) at java.util.concurrent.CompletableFuture$UniWhenComplete.tryFire(CompletableFuture.java:736) at java.util.concurrent.CompletableFuture.postComplete(CompletableFuture.java:474) at java.util.concurrent.CompletableFuture.complete(CompletableFuture.java:1962) at io.streamnative.pulsar.handlers.kop.MessageFetchContext$2.readEntriesComplete(MessageFetchContext.java:479) at org.apache.bookkeeper.mledger.impl.OpReadEntry.lambda$checkReadCompletion$2(OpReadEntry.java:156) at org.apache.bookkeeper.mledger.impl.OpReadEntry$$Lambda$845/165410888.run(Unknown Source) at org.apache.bookkeeper.mledger.util.SafeRun$1.safeRun(SafeRun.java:36) at org.apache.bookkeeper.common.util.SafeRunnable.run(SafeRunnable.java:36) at org.apache.bookkeeper.common.util.OrderedExecutor$TimedRunnable.run(OrderedExecutor.java:204) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at io.netty.util.concurrent.FastThreadLocalRunnable.run(FastThreadLocalRunnable.java:30) at java.lang.Thread.run(Thread.java:748) ``` The deadlock happens as the following picture. ![image](https://user-images.githubusercontent.com/5436568/114263154-8407e500-9a16-11eb-8b7c-d51b9b068ccd.png) When Consumer C1 send poll request with `offset = 500`, KOP dispatch Thread A to fetch data from bookkeeper, and then Consuemr C2 also send poll request with `offset = 500` and KOP dispatch Thread B to fetch data. In `t0` timeStamp, thread A fetch data completed and do callback operation. KOP will **own thread C** to fetch data from BookKeeper. In `t1` timeStamp, thread B call `consumers.computeIfAbsent` with `key = 500` to get related cursor. In concurrentHashMap implementation, `computeIfAbsent` method will **hold the section write lock of `key = 500`** and do computation operation. In `t2` timeStamp, thread C fetch data completed and call `consumers.putIfAbsent` with `key = 500` in callback operation. It will try to **acquire the section write lock of `key = 500`** in concurrentHashMap. Howere the section write lock of `key = 500` has been hold by Thread B in `t1` timeStamp, thread C will stay to wait for write lock. In `t3` timeStamp, thread B call `getPositionForOffset` in `computeIfAbsent` operation. `getPositionForOffset` need to acquire thread C to read entry from BookKeeper. However thread C has been own in t0 timeStamp, thus, thread B will hold section write lock of `key = 500` in concurrentHashMap to wait for thread C. Dead lock happens. ### Modification 1. Move `getPositionForOffset` out of concurrentHashMap section write lock. 2. Add test to simulate the above multi consumers poll the same topic for the same offset at the same time situation.
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Labels
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The enhancements for the existing features or docs. e.g. reduce memory usage of the delayed messages
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Motivation
Current ZK stats are very basic and it's difficult to get real numbers for latency or understand
which requests are being done on the ZK servers.
Modifications
break down by request type
http://0.0.0.0:8080/metrics
Result
It is possible to build better monitoring dashboard. Since the code it's instrumented at load time, there is no performance penalty at runtime.