UnboundResolver

The UnboundResolver class provides a consolidated set of inference options for use in LoadTableOptions. It's most useful when the caller knows the definition of the table they want to load, and can provide an explicit mapping of Iceberg columns to Deephaven columns.

Constructors

An UnboundResolver can be constructed using its builder:

import io.deephaven.iceberg.util.UnboundResolver

resolver = UnboundResolver.builder()
    .definition(definition)
    .putAllColumnInstructions(entries)
    .putColumnInstructions(key, value)
    .schema(schema)
    .build()

• definition: Set the Deephaven table definition to use when loading the Iceberg table.
• putAllColumnInstructions: Add all specified keys and their corresponding ColumnInstructions to the resolver.
• putColumnInstructions: Add a single key and its corresponding ColumnInstructions to the resolver.
• schema: Set the SchemaProvider for the resolver.

Methods

• columnInstructions: The mapping of Deephaven table columns to Iceberg table columns.
• definition: The Deephaven table definition.
• schema: The schema to use for inference. The default is SchemaProvider.fromCurrent.
• walk: Walk the resolver with the provided visitor.

Related documentation

• InferenceResolver
• LoadTableOptions
• Javadoc