Creation of a gmql.materialize(datasets) which enables the execution of multiple materializations, both in local and remote mode.
datasets can be:
a list of GMQLDataset: in this case, the result is loaded directly from memory and a list of GDataframe is returned in the same order as in the input
a dictionary of the type { output_path: GMQLDataset }: in this case, the result is saved on the disk at the locations specified by the dictionary keys and a dictionary of the type { output_path: GDataframe }
The execution of the query must be unified for all the materializations.
Creation of a
gmql.materialize(datasets)which enables the execution of multiple materializations, both in local and remote mode.datasetscan be:GMQLDataset: in this case, the result is loaded directly from memory and a list ofGDataframeis returned in the same order as in the input{ output_path: GMQLDataset }: in this case, the result is saved on the disk at the locations specified by the dictionary keys and a dictionary of the type{ output_path: GDataframe }The execution of the query must be unified for all the materializations.