[jira] [Created] (ARROW-17448) [R][Python] Fix cloud storage paths in some documentation

["Sam Albers (Jira)" <ji...@apache.org>]

Sam Albers created ARROW-17448:
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             Summary: [R][Python] Fix cloud storage paths in some documentation
                 Key: ARROW-17448
                 URL: https://issues.apache.org/jira/browse/ARROW-17448
             Project: Apache Arrow
          Issue Type: Bug
          Components: Python, R
    Affects Versions: 9.0.0
            Reporter: Sam Albers


There are a few issues with the documentation for the cloud storage examples where paths are incorrect. For example in this vignette: [https://arrow.apache.org/docs/r/articles/fs.html]

This doesn't work:
{code:java}
df <- read_parquet(bucket$path("nyc-taxi/year=2019/month=6/data.parquet")){code}
 rather it should be:
{code:java}
df <- read_parquet(bucket$path("nyc-taxi/year=2019/month=6/part-0.parquet")){code}
which I think makes sense as part-0 is the default writing convention for write_dataset and therefore something users are likely to see. Indeed this the way the file structure was written:
{code:java}
library(arrow)
bucket <- s3_bucket("voltrondata-labs-datasets")
bucket$ls(path = "nyc-taxi/year=2011", recursive = TRUE)
#>  [1] "nyc-taxi/year=2011/month=1"                
#>  [2] "nyc-taxi/year=2011/month=1/part-0.parquet" 
#>  [3] "nyc-taxi/year=2011/month=10"               
#>  [4] "nyc-taxi/year=2011/month=10/part-0.parquet"
#>  [5] "nyc-taxi/year=2011/month=11"               
#>  [6] "nyc-taxi/year=2011/month=11/part-0.parquet"
#>  [7] "nyc-taxi/year=2011/month=12"               
#>  [8] "nyc-taxi/year=2011/month=12/part-0.parquet"
#>  [9] "nyc-taxi/year=2011/month=2"                
#> [10] "nyc-taxi/year=2011/month=2/part-0.parquet" 
#> [11] "nyc-taxi/year=2011/month=3"                
#> [12] "nyc-taxi/year=2011/month=3/part-0.parquet" 
#> [13] "nyc-taxi/year=2011/month=4"                
#> [14] "nyc-taxi/year=2011/month=4/part-0.parquet" 
#> [15] "nyc-taxi/year=2011/month=5"                
#> [16] "nyc-taxi/year=2011/month=5/part-0.parquet" 
#> [17] "nyc-taxi/year=2011/month=6"                
#> [18] "nyc-taxi/year=2011/month=6/part-0.parquet" 
#> [19] "nyc-taxi/year=2011/month=7"                
#> [20] "nyc-taxi/year=2011/month=7/part-0.parquet" 
#> [21] "nyc-taxi/year=2011/month=8"                
#> [22] "nyc-taxi/year=2011/month=8/part-0.parquet" 
#> [23] "nyc-taxi/year=2011/month=9"                
#> [24] "nyc-taxi/year=2011/month=9/part-0.parquet"
{code}
I also see some examples that need updating in the cookbooks here:
[https://arrow.apache.org/cookbook/r/reading-and-writing-data.html#read-a-parquet-file-from-s3]

and here:
[https://arrow.apache.org/cookbook/py/io.html#reading-partitioned-data-from-s3]



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