How to connect to Redshift DB using R

This recipe helps you connect to Redshift DB using R

Recipe Objective

How to connect to Redshift DB using R.

Amazon Redshift is one of the latest databases used for managing data warehouses nowadays. R can provide packages to manage a big amount of data generated by data warehousing. R is a fastest-growing analytic tool that can provide a cost-effective solution for integration with popular BI tools like Informatica and Tableau. Integration can be handled using JDBC or ODBC packages in R. This recipe demonstrates an example on how to make connections to Redshift DB using R.

Step 1 - Install necessary packages for RPostfreSQL

Amazon Redshift can be connected to R using the 'RPostfreSQL' and 'RPostgres' packages. The RPostfreSQL is not compatible with handling SSL — Secure Sockets Layer protocol, while RPostgres supports transactions and SSL.

install.packages('RPostgreSQL') library(RPostgreSQL)

Step 2 - Connection using RPostgreSQL

redshift_db <- dbDriver("PostgreSQL") rposgre_rsql <- dbConnect(redshift_db, host = host, port = port, user = user, password = password, dbname = dbname)

Step 3 - Install necessary package for RPostgres

install.packages('RPostgres') library(RPostgres)

Step 4 - Connection using RPostgres

redshift_db <- dbConnect(RPostgres::Postgres(), host = host, port = port, user = user, password = password, dbname = dbname, sslmode='require') {"mode":"full","isActive":false}

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