文件名称：FlinkForwardChina2018为流处理世界重新设计的存储.pdf
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更新时间：2022-09-17 23:10:28
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主要章节： Market Drivers The Quest for Unified Batch and Stream Processing Querying the Past Querying the Future Querying the Past and the Future Today’s “Accidental Architecture” Our Goal: Refactor the “Accidental Storage Stack” Building a Unified Batch and Stream Stack The Stack Pravega Architecture Goals Pravega Fundamentals Segments Streams Beyond the Fundamentals Stream Elasticity Daily Cycles Pravega Auto Scaling Exactly Once – Ack on write Exactly Once – Transactions Pravega with Flink The Complete Pipeline Outlook: Autoscaling with Flink Connecting Flink and Pravega FlinkPravegaReader Details on the Transactional Flink Pravega Writer Transactional Writes The FlinkPravegaWriter Exactly-Once Writes Fails after local snapshot Transaction fails before commit… … commit on recovery A Unified Data Pipeline