# Demo PySpark Delta Table SCD2 implementation
[](https://github.com/spsoni/pyspark-delta-scd2/actions/workflows/python-package.yml)
[](https://github.com/spsoni/pyspark-delta-scd2/actions/workflows/codeql.yml)
This project utilizes `faker-pyspark` to generate random schema and dataframes to mimic data table snapshots.
Using these snapshots to process and apply SCD2 pattern into delta table as the destination.
Source of Inspiration for SCD2 pattern: https://aws-blogs-artifacts-public.s3.amazonaws.com/artifacts/BDB-2547/glue/scd-deltalake-employee-etl-job.py
## Installation
Install with pip:
``` bash
pip install pyspark-delta-scd2 delta-spark faker-pyspark
```
Please note, this package do not enforce version of delta-spark, PySpark and faker-pyspark.
When you want to use this example in AWS Glue environment, enforced versions conflict with the target environment.
### Generate incremental updates to dataframe and apply scd2
``` python
>>> from pyspark_delta_scd2 import get_spark, PySparkDeltaScd2
>>> spark = get_spark()
>>> demo = PySparkDeltaScd2(spark=spark)
>>> # initial load
>>> df1 = demo.process()
>>> # incremental update
>>> df2 = demo.process()
>>> # df2 should have some deletes, updates and inserts
```
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