In RDAdams/RedShifteR: Redshift Tools

knitr::opts_chunk$set(echo = TRUE)

redshiftTools

This is an R Package meant to easen the uploading of bulk data into Amazon Redshift.

Installation

To install this package, you'll need to execute these commands:

    install.packages(c('devtools', 'httr'))
    devtools::install_github("RcppCore/Rcpp")
    devtools::install_github("rstats-db/DBI")
    devtools::install_github("rstats-db/RPostgres")
    devtools::install_github("hadley/xml2")
    install.packages("aws.s3", repos = c(getOption("repos"), "http://cloudyr.github.io/drat"))
    devtools::install_github("sicarul/redshiftTools")

Usage

You'll have available now 2 functions: rs_replace_table and rs_upsert_table, both of these functions are called with almost the same parameters, except on upsert you can specify with which keys to search for matching rows.

For example, suppose we have a table to load with 2 integer columns, we could use the following code:

    library("aws.s3")
    library(RPostgres)
    library(redshiftTools)

    a=data.frame(a=seq(1,10000), b=seq(10000,1))
    n=head(a,n=10)
    n$b=n$a
    nx=rbind(n, data.frame(a=seq(5:10), b=seq(10:5)))

    con <- dbConnect(RPostgres::Postgres(), dbname="dbname",
    host='my-redshift-url.amazon.com', port='5439',
    user='myuser', password='mypassword',sslmode='require')

    b=rs_replace_table(a, dbcon=con, tableName='mytable', bucket="mybucket", split_files=4)
    c=rs_upsert_table(nx, dbcon=con, tableName = 'mytable', split_files=4, bucket="mybucket", keys=c('a'))