In Spark Streaming, level of parallelism (SLP) refers to the number of work

Explain the level of parallelism in Spark Streaming? Also, describe its need.

Question Posted / Raj Veer Singh

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Answer Posted / Raj Veer Singh

In Spark Streaming, level of parallelism (SLP) refers to the number of worker threads processing incoming data. A higher SLP can process more data at once but consumes more resources. It is needed to balance data processing and resource utilization. The SLP can be configured using the `spark.streaming.receiver.worker.tasks` property.

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