trait GraphValidations extends Logging
Validations performed on a DataflowGraph.
- Self Type
- DataflowGraph
- Source
- GraphValidations.scala
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-    def validateFlowStreamingness(): UnitValidate that each resolved flow is correctly either a streaming flow or non-streaming flow, depending on the flow type (ex. Validate that each resolved flow is correctly either a streaming flow or non-streaming flow, depending on the flow type (ex. once flow vs non-once flow) and the dataset type the flow writes to (ex. streaming table vs materialized view). - Attributes
- protected[graph]
 
-    def validateGraphIsTopologicallySorted(): UnitThrows an exception if the flows in this graph are not topologically sorted. Throws an exception if the flows in this graph are not topologically sorted. - Attributes
- protected[graph]
 
-    def validateMultiQueryTables(): Map[TableIdentifier, Seq[Flow]]Validate multi query table correctness. Validate multi query table correctness. - Attributes
- protected[pipelines]
 
-    def validatePersistedViewSources(): UnitValidates that persisted views don't read from invalid sources Validates that persisted views don't read from invalid sources - Attributes
- protected[graph]
 
-    def validateSuccessfulFlowAnalysis(): UnitValidates that all flows are resolved. Validates that all flows are resolved. If there are unresolved flows, detects a possible cyclic dependency and throw the appropriate exception. - Attributes
- protected
 
-    def validateTablesAreResettable(tables: Seq[Table]): UnitValidate that all specified tables are resettable. Validate that all specified tables are resettable. - Attributes
- protected
 
-    def validateTablesAreResettable(): UnitValidate that all tables are resettable. Validate that all tables are resettable. This is a best-effort check that will only catch upstream tables that are resettable but have a non-resettable downstream dependency. - Attributes
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