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I haven't encountered this error before. The java.io.OptionalDataException is likely to occur when there's a discrepancy in the code used to serialize/deserialize an object. I wonder if this is being caused by a mismatch in Scala and/or Spark versions. Is the same version of Scala/Spark deployed on the driver and worker nodes? Have you built the JAR files using versions that match your deployment?
Regarding the "soft" error:
WARN AsyncEventQueue: Dropped * events from eventLog since *.
This may be an instance of this upstream issue. It's apparently fixed in Spark 2.4.0.
d-blink is issuing an error on data set SHIW0810 with sample size of 10K , application is crashing.
On the same data set with sample size of 1000 , it is causing a soft error however application is producing results.
Both driver logs are attached here.
hard_error_driver_log.txt
soft_error_driver_log.txt
Thank you,
Yathish
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