object DatasetManager extends Logging
DatasetManager is responsible for materializing tables in the catalog based on the given
graph. For each table in the graph, it will create a table if none exists (or if this is a
full refresh), or merge the schema of an existing table to match the new flows writing to it.
- Source
- DatasetManager.scala
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- implicit class LogStringContext extends AnyRef
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- case class TableMaterializationException(tableName: String, cause: Throwable) extends Exception with NoStackTrace with Product with Serializable
Wraps table materialization exceptions.
Wraps table materialization exceptions.
The target use case of this exception is merely as a means to capture attribution - 1. Indicate that the exception is associated with table materialization. 2. Indicate which table materialization failed for.
- tableName
The name of the table that failed to materialize.
- cause
The underlying exception that caused the materialization to fail.
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- def materializeDatasets(resolvedDataflowGraph: DataflowGraph, context: PipelineUpdateContext): DataflowGraph
Materializes the tables in the given graph.
Materializes the tables in the given graph. This method will create or update the tables in the catalog based on the given graph and context.
- resolvedDataflowGraph
The resolved DataflowGraph with resolved Flow sorted in topological order.
- context
The context for the pipeline update.
- returns
The graph with materialized tables.
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- Deprecated
(Since version 9)