Top 3 Troubleshooting Tips To Keep You Sparking objects created outside the scope of the closure are...

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Top 3 Troubleshooting Tips To Keep You Sparking

objects created outside the scope of the closure are not necessarily in the same state within the closure.

1 - Why Did My Spark Job Fail with NotSerializableException?

Any objects created outside of the scope of the closure will be serialized to the workers.



2 - Why Is My Spark Job so Slow and Only Using a Single Thread?

References to singleton objects with the closure of a parallel operation will bottleneck the process as these references will happen within the driver program



3 - Why Did My Spark Job Fail with java.lang.IllegalArgumentException: Shuffle Id Nnnn Registered Twice?

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We’ve been experimenting with Spark over the past few weeks. Our two main motivations for doing so were Spark’s excellent support for iterative algorithms and the new Spark streaming features for real-time data processing. While we found the Spark APIs easy to work with, we did run into a few …

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