bdt.assign: big.data.table assign object

In jangorecki/big.data.table: Parallel distributed computing for data.table

Description

Saves the object to nodes, handles chunking/partitioning.

Usage

bdt.assign(x, name, value, parallel = TRUE,
  .log = getOption("bigdatatable.log", FALSE))

Arguments

x	big.data.table.
name	character variable name to which assign *value* in each node, for *x* data.table it should be equal to 'x'.
value	an R object to save on node, if it is data.table then it will be partitioned into chunks, if not partition defined it will make equal rows chunks.
parallel	logical if parallel *TRUE* (default) it will send expression to nodes using 'wait=FALSE' and collect results afterward executing each node in parallel.
.log	currently ignored.

jangorecki/big.data.table documentation built on May 18, 2019, 12:24 p.m.