Hello,

I recently installed the 4.0.0 Arrow package for R on two different MacOS machines and encountered fatal errors when reading or writing parquet files. Here's an example demonstrating attempts to write a new Parquet file and to read a Parquet file previously created with Arrow 3.0.0. Downgrading to 3.0.0 using devtools::install_version() restores the ability to read and write Parquet files on these systems. I wanted to check in with this list to see if I'm doing something obviously incorrect before creating an issue in Jira.

# -------------------------------------

> install.packages('arrow')
trying URL 'https://cloud.r-project.org/bin/macosx/contrib/4.0/arrow_4.0.0.tgz'
Content type 'application/x-gzip' length 12025401 bytes (11.5 MB)
==================================================
downloaded 11.5 MB


The downloaded binary packages are in
/var/folders/xp/30qg3rl93t36yxgb8_xyxjh40000gr/T//Rtmp9sfGFl/downloaded_packages
> x <- data.frame(a=c(1,2), b=c(10,20))
> x
  a  b
1 1 10
2 2 20
> arrow::write_parquet(x, "~/Desktop/x.parquet")
Error in parquet___WriterProperties___Builder__create() :
  Cannot call parquet___WriterProperties___Builder__create(). See https://arrow.apache.org/docs/r/articles/install.html for help installing Arrow C++ libraries.
> arrow::read_parquet("~/Desktop/x-3.0.0.parquet")  # read from identical dataframe created in arrow 3.0.0
Error in parquet___arrow___ArrowReaderProperties__Make(isTRUE(use_threads)) :
  Cannot call parquet___arrow___ArrowReaderProperties__Make(). See https://arrow.apache.org/docs/r/articles/install.html for help installing Arrow C++ libraries.
> sessionInfo()
R version 4.0.5 (2021-03-31)
Platform: x86_64-apple-darwin17.0 (64-bit)
Running under: macOS Catalina 10.15.7

Matrix products: default
BLAS:   /Library/Frameworks/R.framework/Versions/4.0/Resources/lib/libRblas.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/4.0/Resources/lib/libRlapack.dylib

locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base    

loaded via a namespace (and not attached):
 [1] tidyselect_1.1.1 bit_4.0.4        compiler_4.0.5   magrittr_2.0.1   assertthat_0.2.1 R6_2.5.0         tools_4.0.5      glue_1.4.2       bit64_4.0.5      vctrs_0.3.8    
[11] arrow_4.0.0      rlang_0.4.11     purrr_0.3.4

# -------------------------------------


Thanks,
Chris Berthiaume