SearchIndexerKnowledgeStoreTableProjectionSelector Class

Description for what data to store in Azure Tables.

All required parameters must be populated in order to send to Azure.

Inheritance

azure.search.documents.indexes._generated.models._models_py3.SearchIndexerKnowledgeStoreProjectionSelector

SearchIndexerKnowledgeStoreTableProjectionSelector

Constructor

SearchIndexerKnowledgeStoreTableProjectionSelector(*, table_name: str, reference_key_name: Optional[str] = None, generated_key_name: Optional[str] = None, source: Optional[str] = None, source_context: Optional[str] = None, inputs: Optional[List[azure.search.documents.indexes._generated.models._models_py3.InputFieldMappingEntry]] = None, **kwargs)

Parameters

reference_key_name

str

Required

Name of reference key to different projection.

generated_key_name

str

Required

Name of generated key to store projection under.

source

str

Required

Source data to project.

source_context

str

Required

Source context for complex projections.

inputs

list[InputFieldMappingEntry]

Required

Nested inputs for complex projections.

table_name

str

Required

Required. Name of the Azure table to store projected data in.