~/talk

Bringing Cypher to Apache Flink

Talkat Flink Forward Europe 2019 · 2019-10-07..10-09· [databases, data-engineering]
links:none on file
slides:none on file

Implements a backend so Cypher queries run on Flink by translating Cypher to relational operators over an abstract table, shipping a working OKAPI backend that plugs into Flink Table + Calcite. Shows an end-to-end implementation, integration issues with planner rules, state, checkpoints and offsets, and benchmarking methodology that compares throughput and latency against Neo4j Morpheus on Spark, reporting concrete performance trade‑offs and practical tuning lessons.

AI-written summary · about

  1. 0:00Introduction to Flink in production
  2. 2:13Service level agreements in Flink
  3. 5:04Integrating Kafka with Flink
  4. 7:30Handling Kafka offsets and checkpoints
  5. 10:23Parallel Flink jobs for offset management
  6. 12:07Debugging and profiling Flink jobs
  7. 14:35Visualizing Flink job metrics
  8. 15:42Flink extensions and scalability
  9. 16:24Common Flink problems and solutions
  10. 17:04Conclusion and Q&A
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