STATE_STORE_VALUE_SCHEMA_NOT_COMPATIBLE error condition
The provided value schema does not match existing schema in operator state.
Existing schema=<storedValueSchema>; provided schema=<newValueSchema>.
To run the query without schema validation, set spark.sql.streaming.stateStore.stateSchemaCheck to false.
Note that running without schema validation can have non-deterministic behavior.
FIELDS_REORDERED
The value schema fields have been reordered. Reordering fields in the value schema is not allowed.
FIELD_ADDED
New field(s) <addedFields> found in the value schema. Adding fields to the value schema is not allowed without schema evolution enabled.
FIELD_REMOVED
Field(s) <removedFields> missing from the value schema. Removing fields from the value schema is not allowed without schema evolution enabled.
NULLABILITY_CHANGED
Nullability of field(s) <changedFields> in the value schema has changed in an incompatible way.
TYPE_CHANGED
Type of field(s) <changedFields> in the value schema has changed. Changing types of value fields is not allowed.
UNKNOWN_INCOMPATIBILITY
The value schema has changed in an incompatible way.