trait GraphValidations extends Logging
Validations performed on a DataflowGraph
.
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- DataflowGraph
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- GraphValidations.scala
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- def validateFlowStreamingness(): Unit
Validate 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).
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- protected[graph]
- def validateGraphIsTopologicallySorted(): Unit
Throws 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.
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- protected[graph]
- def validateMultiQueryTables(): Map[TableIdentifier, Seq[Flow]]
Validate multi query table correctness.
Validate multi query table correctness.
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- protected[pipelines]
- def validatePersistedViewSources(): Unit
Validates that persisted views don't read from invalid sources
Validates that persisted views don't read from invalid sources
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- protected[graph]
- def validateSuccessfulFlowAnalysis(): Unit
Validates 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.
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- def validateTablesAreResettable(tables: Seq[Table]): Unit
Validate that all specified tables are resettable.
Validate that all specified tables are resettable.
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- def validateTablesAreResettable(): Unit
Validate 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.
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- def validateUserSpecifiedSchemas(): Unit
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(Since version 9)