Accumulator variable in PySpark using Databricks | Databricks Tutorial | PySpark | Apache Spark |
Hi Geeks,
The PySpark Accumulator is a shared variable that is used with RDD and DataFrame to perform sum and counter operations similar to Map-reduce counters. These variables are shared by all executors to update and add information through aggregation or computative operations.
Accumulators are write-only and initialized once variables where only tasks that are running on workers are allowed to update and updates from the workers get propagated automatically to the driver program. But, only the driver program is allowed to access the Accumulator variable using the value property.
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