RDs_and_S3: RDs_and_S3

In 1Edtrujillo1/udeploy: Back-end & Front-end functions

Description

Read an S3 bucket or push, pull or delete an RDs data from the S3 bucket.

Usage

RDs_and_S3(
  dfs = NULL,
  objects = NULL,
  bucket,
  choice = c("watch_bucket", "push", "pull", "delete")
)

Arguments

dfs	dataset or a list of datasets
objects	vector of files in S3 (it could be folder/file path)
bucket	name of your S3 bucket
choice	choice that we want to do with the RDs data

Details

This function allows you to read an S3 bucket or manipulate an RDs data with S3 AWS

Value

"This function returns different results based on choice variable:"

• If choice = "watch_bucket" then you only need to use the variable bucket to see what is inside the AWS S3 bucket.

• If choice = "push" then you need to use the variable dfs representing the dataset (or a list of datasets) in your R session, the objects representing the path on AWS S3. and the name of your bucket.

• If choice = "pull" then you need to use the variable objects representing a vector of path of your RDs data on AWS S3. and the name of your bucket to pull in our R-session.

• If choice = "delete" then you need to use the variable objects representing a vector of path of your RDs data on AWS S3. and the name of your bucket to delete in AWS S3.

Note

• You can use this function inside your shiny app.

• If mongo_choice = "push" then in AWS S3 is going to be an RDs data (s).

Author(s)

Eduardo Trujillo

1Edtrujillo1/udeploy documentation built on July 13, 2021, 9:12 p.m.