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Define the level of parallelism and its need in spark streaming?
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Answer / Dolly Rani
Level of Parallelism (LOP) in Spark Streaming refers to the number of worker threads or processes used to process incoming data streams. It affects the performance, scalability, and resource usage of the application. The need for LOP arises due to the requirement to handle large amounts of streaming data efficiently and to ensure that the processing is parallelized across multiple resources.
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