Which of the following operations can be used to create a new DataFrame that has 12 partitions from an original DataFrame df that has 8 partitions?
Which of the following operations can be used to create a new DataFrame that has 12 partitions from an original DataFrame df that has 8 partitions?
The repartition operation can be used to change the number of partitions in a DataFrame, both increasing and decreasing the number. By using df.repartition(12), the DataFrame will be re-partitioned to have 12 partitions from its original 8 partitions. The other operations do not perform this function: df.cache() is for caching the DataFrame in memory, df.partitionBy() is not relevant for changing partition numbers, and df.coalesce() can only reduce the number of partitions, not increase them.
The answer is A. The repartition operation can be used to increase or decrease the number of partitions in a DataFrame. In this case, the number of partitions is being increased from 8 to 12, so we can use the repartition operation with a partition count of 12: df.repartition(12). Option B, df.cache(), is used to cache a DataFrame in memory for faster access, but it does not change the number of partitions. Option C, df.partitionBy(1.5), is not a valid operation for partitioning a DataFrame. Option D, df.coalesce(12), can be used to reduce the number of partitions in a DataFrame, but it cannot be used to increase the number of partitions beyond the current number. Option E, df.partitionBy(12), is used to partition a DataFrame by a specific column or set of columns, but it does not change the number of partitions.
nice explanation @4be8126
The operation that can be used to create a new DataFrame with 12 partitions from an original DataFrame df that has 8 partitions is: D. df.coalesce(12) Explanation: The coalesce() operation in Spark is used to decrease the number of partitions in a DataFrame, and it can be used to create a new DataFrame with a specific number of partitions. In this case, calling df.coalesce(12) on the original DataFrame df with 8 partitions will create a new DataFrame with 12 partitions.
Comprehensive explanation by 4be8126, only using this comment to vote A.