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Flink Forward China 2018—为流处理世界重新设计的存储

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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

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