From 93968283a3e0e67dbf3ecc2760c1fcb11b838d5c Mon Sep 17 00:00:00 2001 From: wlandau Date: Wed, 30 Sep 2020 22:53:27 -0400 Subject: [PATCH] Revert AWS prefix --- cloud.Rmd | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/cloud.Rmd b/cloud.Rmd index 99c1640..5568759 100644 --- a/cloud.Rmd +++ b/cloud.Rmd @@ -89,7 +89,7 @@ tar_pipeline( ### Run the pipeline -When you run the pipeline above with [`tar_make()`](https://wlandau.github.io/targets/reference/tar_make.html), your local R session computes `rnorm(5)`, saves it to a temporary [`qs`](https://github.com/traversc/qs) file on disk, and then uploads it to a file called `_targets/data` on your S3 bucket. Likewise for `mean_file`, but because the format is `"aws_file"`, you are responsible for supplying the path to the file that gets uploaded to `_targets/mean_file`. +When you run the pipeline above with [`tar_make()`](https://wlandau.github.io/targets/reference/tar_make.html), your local R session computes `rnorm(5)`, saves it to a temporary [`qs`](https://github.com/traversc/qs) file on disk, and then uploads it to a file called `_targets/objects/data` on your S3 bucket. Likewise for `mean_file`, but because the format is `"aws_file"`, you are responsible for supplying the path to the file that gets uploaded to `_targets/objects/mean_file`. ```{r, eval = FALSE} tar_make() @@ -108,7 +108,7 @@ tar_make() ### Manage the data -Log into . You should see objects `_targets/data` and `_targets/mean_file` in your bucket. To download this data locally, use `tar_read()` and `tar_load()` like before. These functions download the data from the bucket and load it into R. +Log into . You should see objects `_targets/objects/data` and `_targets/objects/mean_file` in your bucket. To download this data locally, use `tar_read()` and `tar_load()` like before. These functions download the data from the bucket and load it into R. ```{r, eval = FALSE} tar_read(data)