NEWS.md
In dbcturbo: High-Performance Streaming Reader for 'DATASUS' DBC Files

dbcturbo 0.2.0

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 → numeric
N fields with decimals == 0 → integer when values fit in R integers, otherwise numeric
L (logical) fields → logical
C (character) fields → character (unchanged) Blank or zero-filled values become NA of the appropriate type.