Convert a FHIR search expression to a Spark Column

Converts a FHIR search query string into a Spark Column representing a boolean filter condition. The returned Column can be used with sparklyr DataFrame operations such as sdf_filter to filter resources matching the search criteria.

pc_search_to_column(pc, resource_type, search_expression)

Arguments

pc

The PathlingContext object.

resource_type

A string containing the FHIR resource type code (e.g., "Patient", "Observation").

search_expression

A FHIR search query string in URL query format (e.g., "gender=male&birthdate=ge1990-01-01"). An empty string matches all resources.

Value

A Spark Column object (spark_jobj) representing the boolean filter condition.

See also

Other context functions: pathling_filter(), pathling_with_column(), pc_fhirpath_to_column()

Examples

if (FALSE) { # \dontrun{
pc <- pathling_connect()
data_source <- pc %>% pathling_read_ndjson(pathling_examples("ndjson"))
patients <- data_source %>% ds_read("Patient")

# Filter patients by gender.
gender_filter <- pc_search_to_column(pc, "Patient", "gender=male")
filtered <- sparklyr::spark_dataframe(patients) %>%
  sparklyr::j_invoke("filter", gender_filter) %>%
  sparklyr::sdf_register()

# Multiple search parameters (AND).
combined_filter <- pc_search_to_column(pc, "Patient", "gender=male&active=true")

pathling_disconnect(pc)
} # }