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Stream processing large number of JSON files and handling exception

VijayP
Visitor

12 hours ago

  1. application writes several JSON  (small)  files and the expected volumes of these files are high ( Estimate: 1 million during the peak season in a hourly window) . As per current design, these files are streamed through Spark Stream and we use autoloader to load these files. 
    1. Can Databricks bronze Job handle the volume without any failures loading to Bronze table. ?
    2. Reading several forms appears streaming a large parquet file is not ideal .
  2. Handling Stream Processing failures through quarantine process
    1. Any exception occurring we would like to write those records for operation’s review. Are there any best practices / reference material with example for handling the same?
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