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Working with Spark and YugabyteDB

Talkat Distributed SQL Summit Asia 2022 · 2022-03-30..03-31· [databases]
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Overview of using Spark with YugabyteDB using the YugabyteDB Spark connector to run Spark shell jobs against a Yugabyte Cloud cluster on cloud.yugabyte.com with CA cert authentication. Demonstrates creating tables (emp with ~10–15 rows, emp_right) and a books table with JSONB native support, computing per-job ranks via a Spark window function (partition by job order by salary) and writing results back, showing predicate pushdown, cluster/topology awareness, and an upsert that adds an authors element to id 6.

AI-written summary · about

  1. 0:00Session introduction
  2. 1:48YugabyteDB architecture
  3. 4:29YSQL features
  4. 8:24Distributed transactions
  5. 9:13JSON support in YugabyteDB
  6. 10:42Spark connector
  7. 12:29Connector optimizations
  8. 13:10YugabyteDB Cloud setup
  9. 16:45Demo table creation
  10. 19:15Spark connection
  11. 21:35Reading data from YB
  12. 23:21Writing data to YB
  13. 26:44JSON in Spark
  14. 28:38JSON updates
  15. 30:09Closing remarks & Q&A
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