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https://issues.apache.org/jira/browse/ARROW-6582?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16933622#comment-16933622
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John Cassil commented on ARROW-6582:
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Thank you very much for your thoughtful responses and the solution to my 
original goal.

That might be an interesting approach.  If there were a function to export it 
from Arrow into text on disk, then a user could essentially use Arrow as a 
method to unpack/uncompress a parquet file into raw text.  I could see that 
being helpful in other situations beyond this.  I'm not sure.  Your call!

> R's read_parquet() fails with embedded nuls in strings
> ------------------------------------------------------
>
>                 Key: ARROW-6582
>                 URL: https://issues.apache.org/jira/browse/ARROW-6582
>             Project: Apache Arrow
>          Issue Type: Bug
>          Components: R
>    Affects Versions: 0.14.1
>         Environment: Windows 10
> R 3.4.4
>            Reporter: John Cassil
>            Priority: Major
>
> Apologies if this issue isn't categorized or documented appropriately.  
> Please be gentle! :)
> As a heavy R user that normally interacts with parquet files using SparklyR, 
> I have recently decided to try to use arrow::read_parquet() on a few parquet 
> files that were on my local machine rather than in hadoop.  I was not able to 
> proceed after several various attempts due to embedded nuls.  For example:
> try({df <- read_parquet('out_2019-09_data_1.snappy.parquet') })
> Error in Table__to_dataframe(x, use_threads = option_use_threads()) : 
>   embedded nul in string: 'INSTALL BOTH LEFT FRONT AND RIGHT FRONT  TORQUE 
> ARMS\0 ARMS'
> Is there a solution to this?
> I have also hit roadblocks with embedded nuls in the past with csvs using 
> data.table::fread(), but readr::read_delim() seems to handle them gracefully 
> with just a warning after proceeding.
> Apologies that I do not have a handy reprex. I don't know if I can even 
> recreate a parquet file with embedded nuls using arrow if it won't let me 
> read one in, and I can't share this file due to company restrictions.
> Please let me know how I can be of any more help!



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