ddR (version 0.1.2)

nparts: Returns a 2d-vector denoting the number of partitions existing along each dimension of the distributed object, where the vector==c(partitions_per_column, partitions_per_row). For a dlist, the value is equivalent to c(totalParts(dobj),1).

Description

Returns a 2d-vector denoting the number of partitions existing along each dimension of the distributed object, where the vector==c(partitions_per_column, partitions_per_row). For a dlist, the value is equivalent to c(totalParts(dobj),1).

Usage

nparts(dobj)

Arguments

dobj

input distributed array, data.frame or list.

Value

A 2d-vector containing the number of partitions along each dimension.

References

Prasad, S., Fard, A., Gupta, V., Martinez, J., LeFevre, J., Xu, V., Hsu, M., Roy, I. Large scale predictive analytics in Vertica: Fast data transfer, distributed model creation and in-database prediction. _Sigmod 2015_, 1657-1668.

Venkataraman, S., Bodzsar, E., Roy, I., AuYoung, A., and Schreiber, R. (2013) Presto: Distributed Machine Learning and Graph Processing with Sparse Matrices. _EuroSys 2013_, 197-210.

Homepage: https://github.com/vertica/ddR

See Also

totalParts

Examples

## Not run: 
# a <- darray(psize=c(3,3),dim=c(9,9)) # 9 partitions of 3x3
# b <- nparts(a) # returns c(3,3)
# ## End(Not run)