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归档功能异常:消费归档功能里,在批量进行读取消费记录日志文件的时候,如果读取是在两个文件里进行的(比如批量1000条,500条读取完后再进行下一个文件的500条读取),操作hbase存储如果出现异常的话进行位置回退处理,此时的回退处理是对1000条整体位置的偏移量进行回退,但偏移量横跨两个文件进行读取计算的,所以会导致回退偏移量设置异常,从而影响整个消费记录日志的存储线程。
The text was updated successfully, but these errors were encountered:
针对增量文件改造,避免频繁生成新文件,通过写入偏移量和读取文件控制,提高读取速率和降低空跑率。
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加入归档功能整体限流功能,可针对具体主题和app整体限流,也可以针对单个broker限流
加入hbase写入重试机制
https://github.com/chubaostream/joyqueue/issues/322
2bfef81
archive issue: consume log exception jd-opensource#322 归档功能异常:消费归档功能里,在批量进行读取消费记录日志文件的时候,如果读取是在两个文件里进行的(比如批量1000条,500条读取完后再进行下一个文件的500条读取),操作hbase存储如果出现异常的话进行位置回退处理,此时的回退处理是对1000条整体位置的偏移量进行回退,但偏移量横跨两个文件进行读取计算的,所以会导致回退偏移量设置异常,从而影响整个消费记录日志的存储线程。
minusmajun
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归档功能异常:消费归档功能里,在批量进行读取消费记录日志文件的时候,如果读取是在两个文件里进行的(比如批量1000条,500条读取完后再进行下一个文件的500条读取),操作hbase存储如果出现异常的话进行位置回退处理,此时的回退处理是对1000条整体位置的偏移量进行回退,但偏移量横跨两个文件进行读取计算的,所以会导致回退偏移量设置异常,从而影响整个消费记录日志的存储线程。
The text was updated successfully, but these errors were encountered: