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不同主题使用相同的偏移值

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我们的拓扑使用 KafkaSpout 从kafka主题获取消息 . 我们有大约150个主题,包括12个分区,8个风暴 Actuator 和2个风暴节点上的任务 . Storm版本1.0.5,Kafka经纪人版本10.0.2,Kafka客户端版本0.9.0.1 . 我们不会删除Kafka主题 .

在某个时刻,我在worker.log中观察到大量重复的WARN消息

2018-05-29 14:36:57.928 oaskKafkaUtils Thread-15-kafka-spout-executor [18 18] [WARN]分区{host1:9092,topic = topic_1,partition = 10}获取带偏移的获取请求范围:[9248] 2018-05-29 14:36:57.929 oaskKafkaUtils Thread-23-kafka-spout-executor [16 16] [WARN]分区{host = host2:9092,topic = topic_2,partition = 0}偏移超出范围的获取请求:[22650006] 2018-05-29 14:36:57.930 oaskKafkaUtils Thread-23-kafka-spout-executor [16 16] [WARN]分区{host = host3:9092,topic = topic_3 ,partition = 4}获取偏移超出范围的获取请求:[1011584] 2018-05-29 14:36:57.932 oaskKafkaUtils Thread-7-kafka-spout-executor [12 12] [WARN]分区{host1:9092 ,topic = topic4,partition = 4}获取偏移超出范围的获取请求:[9266] 2018-05-29 14:36:57.933 oaskKafkaUtils Thread-7-kafka-spout-executor [12 12] [WARN] Partition {host = host2:9092,topic = topic5,partition = 4}获取偏移超出范围的获取请求:[9266] 2018-05-29 14:36:57.935 oaskKa fkaUtils Thread-23-kafka-spout-executor [16 16] [WARN]分区{host1:9092,topic = topic6,partition = 4}获取偏移超出范围的获取请求:[1011584] 2018-05-29 14: 36:57.936 oaskKafkaUtils Thread-15-kafka-spout-executor [18 18] [WARN]分区{host = host2:9092,topic = topic6,partition = 10}获取偏移超出范围的获取请求:[9248]

由于某种原因,相同的常量偏移值用于不同主题的相同分区 .

我启用了DEBUG模式并更精确地观察了日志文件 .

2018-05-29 14:37:03.573 oaskPartitionManager Thread-7-kafka-spout-executor [12 12] [DEBUG]将最后完成的偏移量(1572936)写入ZK for Partition {host = host3:9092,topic = topic1 ,partition = 8}用于拓扑:topology1 2018-05-29 14:37:03.577 oaskPartitionManager Thread-7-kafka-spout-executor [12 12] [DEBUG]将最后完成的偏移量(1572936)写入ZK for Partition {host = host1:9092,topic = topic2,partition = 8} for topology:topology1 2018-05-29 14:37:03.578 oaskPartitionManager Thread-7-kafka-spout-executor [12 12] [DEBUG]写了最后完成的偏移量( 1572936)ZK for Partition {host = host2:9092,topic = topic3,partition = 8} for topology:topology1 2018-05-29 14:38:07.581 oaskPartitionManager Thread-23-kafka-spout-executor [16 16] [DEBUG]为拓扑写了最后完成的偏移(61292573)到ZK for Partition {host = host1:9092,topic = topic4,partition = 8}:topology1 2018-05-29 14:38:07.582 oaskPartitionManager Thread-23-kafka -spout-executor [16 16] [DEBUG]写完最后一次完成偏移(61292573)到ZK for Partition {host = host2:9092,topic = topic5,partition = 8} for topology:topology1 2018-05-29 14:38:07.584 oaskPartitionManager Thread-23-kafka-spout-executor [16 16] [DEBUG]为拓扑写了最后完成的偏移(61292573)到ZK for Partition {host = host3:9092,topic = topic6,partition = 8}:topology1

我注意到所有主题的一部分被分成两个独立的组 . 每个小组由31个主题组成 . 每个组中的所有主题都为每个分区使用相同的偏移值 . 然而,该值不是恒定的,并且在8个不同的值之间变化 . 这8个值中的每一个对于组中的特定主题都是正确的 . 此外,这些值中的每一个都在不断增长,并且所有主题都同步更新 . 来自每个组的大多数主题(来自62的55个)具有相应的“偏移范围或范围”警告消息,但具有恒定值 . 其他7个主题在没有WARNING消息的情况下继续正常工作,但其偏移值也在发生变化 .

我浏览了 storm-kafka 的源代码,注意到 useStartOffsetTimeIfOffsetOutOfRange 标志没有失败的元组,而kafka偏移量小于 _emittedToOffset . 因此,一次又一次地记录相同的WARN消息 .

} catch (TopicOffsetOutOfRangeException e) {
        offset = KafkaUtils.getOffset(_consumer, _partition.topic, _partition.partition, kafka.api.OffsetRequest.EarliestTime());
        // fetch failed, so don't update the fetch metrics

        //fix bug [STORM-643] : remove outdated failed offsets
        if (!processingNewTuples) {
            // For the case of EarliestTime it would be better to discard
            // all the failed offsets, that are earlier than actual EarliestTime
            // offset, since they are anyway not there.
            // These calls to broker API will be then saved.
            Set<Long> omitted = this._failedMsgRetryManager.clearOffsetsBefore(offset);

            // Omitted messages have not been acked and may be lost
            if (null != omitted) {
                _lostMessageCount.incrBy(omitted.size());
            }

            _pending.headMap(offset).clear();

            LOG.warn("Removing the failed offsets for {} that are out of range: {}", _partition, omitted);
        }

        if (offset > _emittedToOffset) {
            _lostMessageCount.incrBy(offset - _emittedToOffset);
            _emittedToOffset = offset;
            LOG.warn("{} Using new offset: {}", _partition, _emittedToOffset);
        }

        return;
    }

但是我不明白 _emittedToOffset 如何为不同的主题获得相同的值 . 你可能有任何想法为什么会发生这种情况?

1 回答

  • 0

    在Kafka经纪人失败时,storm-kafka源代码中存在一个错误 . 这里有相应的JIRA票和pull request固定 .

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