Metadata-Version: 2.4
Name: sparkfhirschemas
Version: 2.0.4
Summary: FHIR Schemas for Spark
Home-page: https://github.com/icanbwell/SparkFhirSchemas
Author: Imran Qureshi
Author-email: imranq2@hotmail.com
Classifier: Development Status :: 4 - Beta
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Requires-Python: >=3
Description-Content-Type: text/markdown
License-File: LICENSE
Provides-Extra: spark
Requires-Dist: py4j==0.10.9.7; extra == "spark"
Requires-Dist: pyspark==3.5.5; extra == "spark"
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: license-file
Dynamic: provides-extra
Dynamic: requires-python
Dynamic: summary

# SparkFhirSchemas


This project is a collection of [FHIR](https://www.hl7.org/fhir/) schemas for [Apache Spark](https://spark.apache.org/).

## Usage
1. First update the `fhir.schema.json` file with the FHIR schema you want to use.
   2. You can find the FHIR schema in the [FHIR specification](https://hl7.org/fhir/R4B/fhir.schema.json).
3. Run `make schema-RXX` to generate the Spark schema for RXX. Replace "XX" with the verison you desire. For instance if you want to update R4B you would run `make schema-R4B`.
4. Run `make schema-stu3` to generate the Spark schema for STU3.
5. Run `make schema-dstu2` to generate the Spark schema for DSTU2.

This will generate the Spark schema in the spark_fhir_schemas directory.
