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Jagbir commented on KAFKA-1382: ------------------------------- Hi Sriharsha, This is what I did prompt> git clone http://git-wip-us.apache.org/repos/asf/kafka.git prompt> git checkout refs/tags/0.8.1.1 -b kafka-1382 prompt> wget https://issues.apache.org/jira/secure/attachment/12646741/KAFKA-1382.patch prompt> patch -p1 < KAFKA-1382.patch Thanks, Jagbir > Update zkVersion on partition state update failures > --------------------------------------------------- > > Key: KAFKA-1382 > URL: https://issues.apache.org/jira/browse/KAFKA-1382 > Project: Kafka > Issue Type: Bug > Reporter: Joel Koshy > Assignee: Sriharsha Chintalapani > Fix For: 0.8.2, 0.8.1.2 > > Attachments: KAFKA-1382.patch, KAFKA-1382_2014-05-30_21:19:21.patch, > KAFKA-1382_2014-05-31_15:50:25.patch, KAFKA-1382_2014-06-04_12:30:40.patch, > KAFKA-1382_2014-06-07_09:00:56.patch, KAFKA-1382_2014-06-09_18:23:42.patch, > KAFKA-1382_2014-06-11_09:37:22.patch, KAFKA-1382_2014-06-16_13:50:16.patch, > KAFKA-1382_2014-06-16_14:19:27.patch > > > Our updateIsr code is currently: > private def updateIsr(newIsr: Set[Replica]) { > debug("Updated ISR for partition [%s,%d] to %s".format(topic, > partitionId, newIsr.mkString(","))) > val newLeaderAndIsr = new LeaderAndIsr(localBrokerId, leaderEpoch, > newIsr.map(r => r.brokerId).toList, zkVersion) > // use the epoch of the controller that made the leadership decision, > instead of the current controller epoch > val (updateSucceeded, newVersion) = > ZkUtils.conditionalUpdatePersistentPath(zkClient, > ZkUtils.getTopicPartitionLeaderAndIsrPath(topic, partitionId), > ZkUtils.leaderAndIsrZkData(newLeaderAndIsr, controllerEpoch), zkVersion) > if (updateSucceeded){ > inSyncReplicas = newIsr > zkVersion = newVersion > trace("ISR updated to [%s] and zkVersion updated to > [%d]".format(newIsr.mkString(","), zkVersion)) > } else { > info("Cached zkVersion [%d] not equal to that in zookeeper, skip > updating ISR".format(zkVersion)) > } > We encountered an interesting scenario recently when a large producer fully > saturated the broker's NIC for over an hour. The large volume of data led to > a number of ISR shrinks (and subsequent expands). The NIC saturation > affected the zookeeper client heartbeats and led to a session timeout. The > timeline was roughly as follows: > - Attempt to expand ISR > - Expansion written to zookeeper (confirmed in zookeeper transaction logs) > - Session timeout after around 13 seconds (the configured timeout is 20 > seconds) so that lines up. > - zkclient reconnects to zookeeper (with the same session ID) and retries > the write - but uses the old zkVersion. This fails because the zkVersion > has already been updated (above). > - The ISR expand keeps failing after that and the only way to get out of it > is to bounce the broker. > In the above code, if the zkVersion is different we should probably update > the cached version and even retry the expansion until it succeeds. -- This message was sent by Atlassian JIRA (v6.3.4#6332)