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feat: Throw exception when non-utf8 characters are in a data.frame #16

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@Tmonster Tmonster commented Sep 22, 2023

The duckdb engine assumes all strings are valid utf-8. In the R-client, we forgot to check if strings were in fact utf8. Here we check them when the scanning the df when we register it.

Closes #12.

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krlmlr commented Nov 8, 2023

Thanks. Are there any other locations where we need to care about this? Thinking mainly about parameter binding via dbBind() or dbSendQuery(params = ...) .

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krlmlr commented Mar 11, 2024

Coming back to this.

What are the costs of this preemptive check? I assume that the code must read the entire string? What are the consequences of avoiding this check?

Example for constructing a broken string:

bork <- iconv("börk", to = "latin1")
Encoding(bork) <- "UTF-8"
bork
#> [1] "b\xf6rk"

Created on 2024-03-11 with reprex v2.1.0

@krlmlr krlmlr changed the title throw exception when non-utf8 characters are in a data.frame feat: Throw exception when non-utf8 characters are in a data.frame Mar 11, 2024
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krlmlr commented Mar 21, 2024

There's a faster way:

x <- "Est\xe2ncia"
Encoding(x)
#> [1] "unknown"
x <- "Estância"
Encoding(x)
#> [1] "UTF-8"
x <- enc2utf8("Estância")
Encoding(x)
#> [1] "UTF-8"
Encoding(iconv("Est\xe2ncia", from = "latin1", to = "UTF-8"))
#> [1] "UTF-8"

Created on 2024-03-21 with reprex v2.1.0

This shows different results when ran line by line in the RStudio IDE: the second example also yields "unknown". I propose to do the fast check first, and only use utf8proc if that returns "unknown".

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I agree, I think the fast check first is better. Otherwise we have to copy the whole string. Will work on this now

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Tmonster commented Mar 26, 2024

I actually wonder now if the issue is in the function enc2utf8. In register.R we encode the values of the data frame in the function encode_values(). enc2utf8 is applied to all character columns in the data frame that is passed. Playing around with the enc2utf8 function, there seem to be some inconsistencies when the encoding of the passed string is unknown.

> enc2utf8("Est\xe2ncia")
# [1] "Est\xe2ncia"
> iconv(enc2utf8("Est\xe2ncia"), from="latin1", to="UTF-8")
# [1] "Estância"
> iconv(enc2utf8("Est\xe2ncia"), from="UTF-8", to="UTF-8")
# [1] NA
> iconv(enc2utf8("hello"), from="UTF-8", to="UTF-8")
# [1] "hello"
> iconv(enc2utf8("hello"), from="latin1", to="UTF-8")
# [1] "hello"

Now I just check that Encoding(x) is valid for every value of a varcher column. This seems like a lot of overhead though, so open to other ideas.

EDIT: changes for readability

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Error: Invalid Input Error: Invalid unicode (byte sequence mismatch) detected in segment statistics update
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