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This Schema Evolution Sessionization example shows how to use Apache Spark's transformWithStateInPandas API for schema evolution in stateful stream processing in PySpark. This notebook focuses on transformWithStateInPandas's ValueState capabilities to manage evolving session state schemas across processor versions while maintaining backward compatibility.

This Schema Evolution Sessionization example shows how to use Apache Spark's transformWithStateInPandas API for schema evolution in stateful stream processing in PySpark. This notebook focuses on transformWithStateInPandas's ValueState capabilities to manage evolving session state schemas across processor versions while maintaining backward compatibility.
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@anishshri-db @jpdatabricks Please do the initial review and approve the sessionization - TWS.

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