Creates an immutable, ad-hoc data source from a named list of Spark datasets indexed with resource type codes.
pathling_read_datasets(pc, resources)The PathlingContext object.
A name list of Spark datasets, where the keys are resource type codes and the values are the data frames containing the resource data.
A DataSource object that can be used to run queries against the data.
Pathling documentation - Reading datasets
Other data source functions:
pathling_read_bundles(),
pathling_read_delta(),
pathling_read_ndjson(),
pathling_read_parquet(),
pathling_read_tables()
pc <- pathling_connect()
patient_df <- pc %>% pathling_example_resource('Patient')
condition_df <- pc %>% pathling_example_resource('Condition')
data_source <- pc %>% pathling_read_datasets(list(Patient = patient_df, Condition = condition_df))
data_source %>% ds_read('Patient') %>% sparklyr::sdf_nrow()
#> [1] 9
pathling_disconnect(pc)