xtimbeau opened a new issue, #36940:
URL: https://github.com/apache/arrow/issues/36940
### Describe the bug, including details regarding any error messages,
version, and platform.
Using Arrow from R, version 12.0.1.1, on linux, last versions of everything,
I try to write a 500Mo file to a parquet. Either it is crashing or I do get an
error when reading : OSError: `Couldn't deserialize thrift: TProtocolException:
Exceeded size limit error`.
When saving my data (6 columns, 16M lines) as a dataset I do get a crash
too. Hiving the data brings the same.
Memory consumption seems to increase neatly before the crash -- however
several Go of RAM are available.
When reverting to Arrow 10.0.1, everything is fine.
R version 4.3.1 (2023-06-16) Platform: x86_64-pc-linux-gnu (64-bit) Running
under: Ubuntu 22.04.2 LTS Matrix products: default BLAS:
/usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3 LAPACK:
/usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.20.so; LAPACK
version 3.10.0 locale: [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C
[3] LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8 [5]
LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8 [7] LC_PAPER=en_US.UTF-8
LC_NAME=C [9] LC_ADDRESS=C LC_TELEPHONE=C
[11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C time
zone: Etc/UTC tzcode source: system (glibc) attached base packages: [1] stats
graphics grDevices utils datasets methods base other attached
packages: [1] here_1.0.1 sf_1.0-13 tmap_3.3-3
data.table_1.14.8 [5] glue_1.6.2 lubridate_1.9.2 forcats_1.0.0
stringr_1.5.0 [9] dplyr_
1.1.2 purrr_1.0.1 readr_2.1.4 tidyr_1.3.0 [13]
tibble_3.2.1 ggplot2_3.4.2 tidyverse_2.0.0 archive_1.1.5 loaded
via a namespace (and not attached): [1] tidyselect_1.2.0
viridisLite_0.4.2 arrow_10.0.1 [4] fastmap_1.1.1
leaflet_2.1.2 stringfish_0.15.8 [7] XML_3.99-0.14
digest_0.6.32 timechange_0.2.0 [10] lifecycle_1.0.3
ellipsis_0.3.2 ggspatial_1.1.8 [13] terra_1.7-39
magrittr_2.0.3 compiler_4.3.1 [16] rlang_1.1.1
tools_4.3.1 yaml_2.3.7 [19] utf8_1.2.3
htmlwidgets_1.6.2 bit_4.0.5 [22] sp_2.0-0
MetricsWeighted_1.0.2 classInt_0.4-9 [25] RColorBrewer_1.1-3
abind_1.4-5 KernSmooth_2.23-21 [28] withr_2.5.0
leafsync_0.1.0 grid_4.3.1 [31] fansi_1.0.4
e1071_1.7-1
3 leafem_0.2.0 [34] colorspace_2.1-0 scales_1.2.1
dichromat_2.0-0.1 [37] cli_3.6.1 crayon_1.5.2
ragg_1.2.5 [40] generics_0.1.3 RcppParallel_5.1.7
rstudioapi_0.14 [43] tzdb_0.4.0 tmaptools_3.1-1
DBI_1.1.3 [46] proxy_0.4-27 RApiSerialize_0.1.2
stars_0.6-1 [49] assertthat_0.2.1 parallel_4.3.1
s2_1.1.4 [52] base64enc_0.1-3 vctrs_0.6.3
jsonlite_1.8.7 [55] hms_1.1.3 bit64_4.0.5
systemfonts_1.0.4 [58] crosstalk_1.2.0 units_0.8-2
lwgeom_0.2-13 [61] leaflet.providers_1.9.0 codetools_0.2-19
stringi_1.7.12 [64] gtable_0.3.3 raster_3.6-20
munsell_0.5.0 [67] pillar_1.9.0 htmltools_0.5.5
R6_2.5.1 [70] textshaping_0.3.6 wk_0.7.
3 rprojroot_2.0.3 [73] vroom_1.6.3
lattice_0.21-8 png_0.1-8 [76] qs_0.25.5
class_7.3-22 Rcpp_1.0.10 [79] fs_1.6.2
pkgconfig_2.0.3
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