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What is difference between map and flatmap in spark?
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Answer Posted / Syed Danish Mushtaq
In Apache Spark, both Map and FlatMap are transformation operations. Map takes a function as an argument to transform each record in a DataFrame or RDD into another record. On the other hand, FlatMap applies a function that produces zero or more records for each input record (similar to Scala's FlatMap). The primary difference lies in how they handle output records: Map combines all resulting records into one, while FlatMap concatenates all outputs from individual records.
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