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Radvision World Consultancy
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Coalesce reduces the number of partitions in a DataFrame, while repartition increases the number of partitions.
Coalesce is used to reduce the number of partitions in a DataFrame without shuffling the data
Repartition is used to increase the number of partitions in a DataFrame and can involve shuffling the data
Coalesce is more efficient than repartition when reducing partitions as it avoids shuffling
Coalesce reduces the number of partitions in a DataFrame, while repartition increases the number of partitions.
Coalesce is used to reduce the number of partitions in a DataFrame without shuffling the data
Repartition is used to increase the number of partitions in a DataFrame and can involve shuffling the data
Coalesce is more efficient than repartition when reducing partitions as it avoids shuffling
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