jonkeane commented on code in PR #45951:
URL: https://github.com/apache/arrow/pull/45951#discussion_r2029875356
##########
r/src/altrep.cpp:
##########
@@ -1267,23 +1293,23 @@ sexp test_arrow_altrep_copy_by_dataptr(sexp x) {
if (TYPEOF(x) == INTSXP) {
cpp11::writable::integers out(Rf_xlength(x));
- int* ptr = reinterpret_cast<int*>(DATAPTR(x));
+ int* ptr = reinterpret_cast<int*>(INTEGER(x));
for (R_xlen_t i = 0; i < n; i++) {
out[i] = ptr[i];
}
return out;
} else if (TYPEOF(x) == REALSXP) {
cpp11::writable::doubles out(Rf_xlength(x));
- double* ptr = reinterpret_cast<double*>(DATAPTR(x));
+ double* ptr = reinterpret_cast<double*>(REAL(x));
for (R_xlen_t i = 0; i < n; i++) {
out[i] = ptr[i];
}
return out;
} else if (TYPEOF(x) == STRSXP) {
cpp11::writable::strings out(Rf_xlength(x));
- SEXP* ptr = reinterpret_cast<SEXP*>(DATAPTR(x));
for (R_xlen_t i = 0; i < n; i++) {
- out[i] = ptr[i];
+ SEXP str_elt = reinterpret_cast<SEXP>(STRING_ELT(x, i));
+ out[i] = str_elt;
Review Comment:
Ah, got it. Yeah if it's not helping us I agree removing it is the way to
go. I tried the reprexes with `unique()` on my branch here as well as on
released arrow and the results are comparable so I think we're ok.
I'm curious though — were there other tests we had that would have caught
the multiple materialization issue? Or were these the ones that did that?
Released arrow:
```
> library(arrow)
> df1 <- tibble::tibble(x=as.character(floor(runif(1000000) * 20)))
> write_parquet(df1,"./test.parquet")
> df2 <- read_parquet("./test.parquet")
> system.time(unique(df1$x))
user system elapsed
0.014 0.000 0.015
> system.time(unique(df2$x))
user system elapsed
0.113 0.001 0.114
```
This branch:
```
> library(arrow)
> df1 <- tibble::tibble(x=as.character(floor(runif(1000000) * 20)))
> write_parquet(df1,"./test.parquet")
df2 <- read_parquet("./test.parquet")
system.time(unique(df1$x))
system.time(unique(df2$x))
> df2 <- read_parquet("./test.parquet")
> system.time(unique(df1$x))
user system elapsed
0.014 0.001 0.014
> system.time(unique(df2$x))
user system elapsed
0.106 0.001 0.107
```
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