Read multiple feather files as a single pyarrow.Table Parameters ---------- columns : List[str] Names of columns to read from the file Returns ------- pyarrow.Table Content of the file as a table (of columns)
(self, columns=None)
| 45 | self.validate_schema = validate_schema |
| 46 | |
| 47 | def read_table(self, columns=None): |
| 48 | """ |
| 49 | Read multiple feather files as a single pyarrow.Table |
| 50 | |
| 51 | Parameters |
| 52 | ---------- |
| 53 | columns : List[str] |
| 54 | Names of columns to read from the file |
| 55 | |
| 56 | Returns |
| 57 | ------- |
| 58 | pyarrow.Table |
| 59 | Content of the file as a table (of columns) |
| 60 | """ |
| 61 | _fil = _read_table_internal(self.paths[0], columns=columns) |
| 62 | self._tables = [_fil] |
| 63 | self.schema = _fil.schema |
| 64 | |
| 65 | for path in self.paths[1:]: |
| 66 | table = _read_table_internal(path, columns=columns) |
| 67 | if self.validate_schema: |
| 68 | self.validate_schemas(path, table) |
| 69 | self._tables.append(table) |
| 70 | return concat_tables(self._tables) |
| 71 | |
| 72 | def validate_schemas(self, piece, table): |
| 73 | if not self.schema.equals(table.schema): |