This function should work on all files, even if read_parquet() is
unable to read them, because of an unsupported schema, encoding,
compression or other reason.
Usage
read_parquet_schema(file, options = parquet_options())Arguments
- file
Path to a Parquet file.
- options
Return value of
parquet_options(), options that potentially modify the Parquet to R type mappings.
Value
Data frame, the schema of the file. It has one row for
each node (inner node or leaf node). For flat files this means one
root node (inner node), always the first one, and then one row for
each "real" column. For nested schemas, the rows are in depth-first
search order. Most important columns are:
- `file_name`: file name.
- `name`: column name.
- `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.
- `type`: data type. One of the low level data types.
- `type_length`: length for fixed length byte arrays.
- `repettion_type`: character, one of `REQUIRED`, `OPTIONAL` or
`REPEATED`.
- `logical_type`: a list column, the logical types of the columns.
An element has at least an entry called `type`, and potentially
additional entries, e.g. `bit_width`, `is_signed`, etc.
- `num_children`: number of child nodes. Should be a non-negative
integer for the root node, and `NA` for a leaf node.See also
read_parquet_metadata() to read more metadata,
read_parquet_info() to show only basic information.
read_parquet(), write_parquet(), nanoparquet-types.