docs: def show_partitioning(rdd, show=True):
      """Seems to be significantly more expensive on cluster than locally"""
      if show:
          partitionCount = rdd.getNumPartitions()
          try:
              valueCount = rdd.countApprox(1000, confidence=0.50)
          except:
              valueCount = -1
          try:
              name = rdd.name() or None
          except:
              pass
          name = name or "anonymous"
          logging.info("For RDD %s, there are %d partitions with on average %s values" % 
                       (name, partitionCount, int(valueCount/float(partitionCount))))