On the Impact of log Compaction on Incrementally Checkpointing Stateful Stream-Processing Operators

Aris Chronarakis, Antonis Papaioannou, K. Magoutis
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Abstract

Incremental checkpointing (IC) is a fault-tolerance technique used in several stateful distributed stream processing systems. It relies on continuously logging state updates to a remote storage service and periodically compacting the update-log via a background process. We highlight a tradeoff between the intensity of compaction of the IC update-log (and the associated resource overhead) and its impact on recovery time in such systems. We also highlight the control parameters that can be used to adjust this tradeoff in the Apache Samza stream processing system, and demonstrate this tradeoff experimentally.
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日志压缩对增量检查点状态流处理操作符的影响
增量检查点(IC)是几种有状态分布式流处理系统中使用的容错技术。它依赖于连续地将状态更新记录到远程存储服务,并通过后台进程定期压缩更新日志。我们强调在IC更新日志的压缩强度(以及相关的资源开销)及其对此类系统中恢复时间的影响之间进行权衡。我们还强调了在Apache Samza流处理系统中可用于调整这种权衡的控制参数,并通过实验演示了这种权衡。
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