GoogleCloudContentwarehouseV1GcsIngestPipeline
Content Warehouse V1InfrastructureGoogleApi.ContentWarehouse.V1.Model.GoogleCloudContentwarehouseV1GcsIngestPipeline
SEO Analysis
AI GeneratedBackend infrastructure with indirect SEO impact. This model (Google Cloud Contentwarehouse V1 Gcs Ingest Pipeline) contains 5 attributes that define its data structure. Key functionality includes: The input Cloud Storage folder. All files under this folder will be imported to Document Warehouse. Format: gs:///.
Actionable Insights for SEOs
- Understanding this model helps SEOs grasp Google's internal data architecture
Attributes
5inputPathstringnilFull type: String.tThe input Cloud Storage folder. All files under this folder will be imported to Document Warehouse. Format: gs:///.
pipelineConfigGoogleCloudContentwarehouseV1IngestPipelineConfig →nilFull type: GoogleApi.ContentWarehouse.V1.Model.GoogleCloudContentwarehouseV1IngestPipelineConfig.tOptional. The config for the Cloud Storage Ingestion pipeline. It provides additional customization options to run the pipeline and can be skipped if it is not applicable.
processorTypestringnilFull type: String.tThe Doc AI processor type name. Only used when the format of ingested files is Doc AI Document proto format.
schemaNamestringnilFull type: String.tThe Document Warehouse schema resource name. All documents processed by this pipeline will use this schema. Format: projects/{project_number}/locations/{location}/documentSchemas/{document_schema_id}.
skipIngestedDocumentsboolean(nilThe flag whether to skip ingested documents. If it is set to true, documents in Cloud Storage contains key "status" with value "status=ingested" in custom metadata will be skipped to ingest.