/// <summary>
/// Returns a new DataFrame that has exactly `numPartitions` partitions.
/// Similar to coalesce defined on an RDD, this operation results in a narrow dependency,
/// e.g. if you go from 1000 partitions to 100 partitions, there will not be a shuffle, instead each of
/// the 100 new partitions will claim 10 of the current partitions.
/// </summary>
// Python API: https://github.com/apache/spark/blob/branch-1.4/python/pyspark/sql/dataframe.py coalesce(self, numPartitions)
public DataFrame Coalesce(int numPartitions)
{
return(new DataFrame(dataFrameProxy.Coalesce(numPartitions), sparkContext));
}