pathling_read_datasets: Create a data source from datasets

In pathling: A Library for using 'Pathling'

Create a data source from datasets

Description

Creates an immutable, ad-hoc data source from a named list of Spark datasets indexed with resource type codes.

Usage

pathling_read_datasets(pc, resources)

Arguments

pc	The PathlingContext object.
resources	A name list of Spark datasets, where the keys are resource type codes and the values are the data frames containing the resource data.

Value

A DataSource object that can be used to run queries against the data.

See Also

Pathling documentation - Reading datasets

Other data source functions: pathling_read_bulk(), pathling_read_bundles(), pathling_read_delta(), pathling_read_ndjson(), pathling_read_parquet(), pathling_read_tables()

Examples

## Not run: 
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()

## End(Not run)

pathling documentation built on Sept. 15, 2025, 5:08 p.m.