What is the difference between a Spark broadcast variable and an accumulator?
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A Spark broadcast variable is said to be a read-only variable that is cached on each worker node in a Spark cluster. Broadcast variables are used to share data across tasks efficiently and avoid unnecessary data shuffling.
An accumulator, on the other hand, is a write-only variable that is used to accumulate values across tasks. Accumulators are used for tasks like counting the number of records processed or summing up values across partitions. Unlike broadcast variables, accumulators are not cached on worker nodes but are only accessible by the driver program.