InferenceResolver

The InferenceResolver class provides a consolidated set of inference options for use in LoadTableOptions. This class is most useful when the caller does not know the structure of the table being loaded, and thus wants the resultant table definition to be inferred from the Iceberg table schema.

Constructors

The InferenceResolver class is constructed from its builder:

import io.deephaven.iceberg.util.InferenceResolver

resolver = InferenceResolver.builder()
    .failOnUnsupportedTypes(failOnUnsupportedTypes)
    .inferPartitioningColumns(inferPartitioningColumns)
    .namerFactory(namerFactory)
    .schema(schema)
    .build()

• failOnUnsupportedTypes: Whether to fail if unsupported data types are encountered during inference.
• inferPartitioningColumns: Whether to infer partitioning columns from the Iceberg table.
• namerFactory: The io.deephaven.iceberg.util.InferenceInstructions.Namer.Factory to use for naming columns.
• schema: The io.deephaven.iceberg.util.SchemaProvider to use when extracting the schema from the Iceberg table.

Methods

• walk: Walk the resolver with the specified visitor.

Related documentation

• UnboundResolver
• LoadTableOptions
• Javadoc