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Neal Richardson commented on ARROW-10324: ----------------------------------------- This is the same as ARROW-6582. We're working on a proper solution but don't have one yet. Two things to note: 1. In the upcoming release, it won't error anymore, it will truncate the string at the nul. Arguably that's worse because you won't know you have a problem. 2. I think you can work around this by reading with {{as_data_frame = FALSE}} as you have done, and then cast the offending column(s) to {{binary()}} before bringing the data into R. That will give you a list of raw vectors, and you should be able to filter out the {{00}}s and then call {{rawToChar()}} on them (assuming what you want is to drop the nuls). > function read_parquet(*,as_data_frame=TRUE) fails when embedded nuls present. > ------------------------------------------------------------------------------ > > Key: ARROW-10324 > URL: https://issues.apache.org/jira/browse/ARROW-10324 > Project: Apache Arrow > Issue Type: Improvement > Components: R > Reporter: Akash Shah > Priority: Major > > For the following code snippet > {code:java} > // code placeholder > library(arrow) > download.file('https://github.com/akashshah59/embedded_nul_parquet/raw/main/CC-MAIN-20200702045758-20200702075758-00007.parquet','sample.parquet') > read_parquet(file = 'sample.parquet',as_data_frame = TRUE) > {code} > I get - > > {code:java} > Error in Table__to_dataframe(x, use_threads = option_use_threads()) : > embedded nul in string: '\0 at \0' > {code} > > So, I thought, what if I could read the file as binaries and replace the > embedded nul character \0 myself. > > {code:java} > parquet <- read_parquet(file = 'sample.parquet',as_data_frame = FALSE) > raw <- write_to_raw(parquet,format = "file") > print(raw){code} > > In this case, I get an indecipherable stream of characters and nuls, which > makes it very difficult to remove '00' characters that are problematic in the > stream. > > {code:java} > [1] 41 52 52 4f 57 31 00 00 ff ff ff ff d0 02 00 00 10 00 00 00 00 00 0a 00 > 0c 00 06 00 > [29] 05 00 08 00 0a 00 00 00 00 01 04 00 0c 00 00 00 08 00 08 00 00 00 04 00 > 08 00 00 00 > [57] 04 00 00 00 0d 00 00 00 70 02 00 00 38 02 00 00 10 02 00 00 d0 01 00 00 > a4 01 00 00 > [85] 74 01 00 00 34 01 00 00 04 01 00 00 cc 00 00 00 9c 00 00 00 64 00 00 00 > 34 00 00 00 > [113] 04 00 00 00 d4 fd ff ff 00 00 01 05 14 00 00 00 0c 00 00 00 04 00 00 00 > 00 00 00 00 > [141] c4 fd ff ff 0a 00 00 00 77 61 72 63 5f 6c 61 6e 67 73 00 00 00 fe ff ff > 00 00 01 05 > [169] 14 00 00 00 0c 00 00 00 04 00 00 00 00 00 00 00 f0 fd ff ff 0b 00 00 00 > 6c 61 6e 67 > [197] 5f 64 65 74 65 63 74 00 2c fe ff ff 00 00 01 03 18 00 00 00 0c 00 00 00 > 04 00 > {code} > > Is there a way to handle this while reading Apache parquet? -- This message was sent by Atlassian Jira (v8.3.4#803005)