How Adobe Processes 2 Million Records Per Second Using Apache Spark

How Adobe Processes 2 Million Records Per Second Using Apache Spark

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How to get the magic targetPartitionCount?

10 of 11

10 of 11

How to get the magic targetPartitionCount?

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How Adobe Processes 2 Million Records Per Second Using Apache Spark

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  1. 1 Intro
  2. 2 What do you mean by Processing? Agenda!
  3. 3 Unified Profile Data Ingestion
  4. 4 Generic Flow
  5. 5 Flow with MinPartitions partitions on Kafka
  6. 6 MicroBatch Hard! Logic Best Practices
  7. 7 An Example
  8. 8 For Repeated Queries Over Same DF
  9. 9 Join Optimization For Interactive Queries (Opinionated)
  10. 10 How to get the magic targetPartitionCount?
  11. 11 Digging into Redis Pipelining + Spark

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