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read_dbc(engine = "native") decodes DBC records
directly into R columns without DBF or CSV temporary files. In
engine = "auto", this native path is selected for files up
to 50 MiB by default; set native_threshold to control the
cutoff.
dbc_to_csv() now writes CSV rows directly from the
decompression stream, removing the full-sized temporary DBF previously
required during conversion.
dbc_batch_to_csv() gains cols for field
selection and workers for file-level parallel conversion on
macOS and Linux.
dbc_batch_to_csv() converts every DBC file in a
directory, optionally recursively, while preserving the input
subdirectory layout.
dbc_to_csv() and read_dbc() gain a
cols parameter to select fields in the C writer, avoiding
creation of unselected columns in the temporary CSV.
read_dbc() gains
engine = "auto" | "data.table" | "base" so users can choose
the CSV reader explicitly for large files.
read_dbc() gains a coerce_types = TRUE
parameter that automatically converts columns to their native R types
based on the DBF field metadata:
D (date) fields → Date (DBF format
YYYYMMDD)N fields with decimals > 0 →
numericN fields with decimals == 0 → integer when
values fit in R integers, otherwise numericL (logical) fields → logicalC (character) fields → character
(unchanged) Blank or zero-filled values become NA of the
appropriate type.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.