Note that this function is now deprecated. Please use
read_parquet_schema() for files, and infer_parquet_schema() for
data frames.
parquet_column_types(x, options = parquet_options())Data frame with columns:
file_name: file name.
name: column name.
type: (low level) Parquet data type.
r_type: the R type that corresponds to the Parquet type.
Might be NA if read_parquet() cannot read this column. See
nanoparquet-types for the type mapping rules.
repetition_type: whether the column in REQUIRED (cannot be
NA) or OPTIONAL (may be NA). REPEATED columns are not
currently supported by nanoparquet.
logical_type: Parquet logical type in a list column.
An element has at least an entry called type, and potentially
additional entries, e.g. bit_width, is_signed, etc.
Path to a Parquet file, or a data frame.
Nanoparquet options, see parquet_options().
This function works two ways. It can map the R types of a data frame to
Parquet types, to see how write_parquet() would write out the data
frame. It can also map the types of a Parquet file to R types, to see
how read_parquet() would read the file into R.
read_parquet_metadata() to read more metadata,
read_parquet_info() for a very short summary.
read_parquet_schema() for the complete Parquet schema.
read_parquet(), write_parquet(), nanoparquet-types.