Package io.deephaven.iceberg.util

Class InferenceInstructions

java.lang.Object

io.deephaven.iceberg.util.InferenceInstructions

@Immutable
public abstract class InferenceInstructions
extends Object

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static interface	InferenceInstructions.Builder
static interface	InferenceInstructions.Namer	The Deephaven column namer.

Constructor Summary

Constructors

Constructor	Description
InferenceInstructions()

Method Summary

Modifier and Type	Method	Description
static InferenceInstructions.Builder	builder()
boolean	failOnUnsupportedTypes()	If inference should fail if any of the Iceberg fields fail to map to Deephaven columns.
InferenceInstructions.Namer.Factory	namerFactory()	The namer factory.
static InferenceInstructions	of(org.apache.iceberg.Schema schema)	Creates a default inference instructions for schema.
abstract org.apache.iceberg.Schema	schema()	The schema to use for inference.
abstract Optional<org.apache.iceberg.PartitionSpec>	spec()	The partition spec to use for inference.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

InferenceInstructions

public InferenceInstructions()

Method Details

builder

public static InferenceInstructions.Builder builder()

of

public static InferenceInstructions of(org.apache.iceberg.Schema schema)

Creates a default inference instructions for schema.

Parameters:

schema - the schema

Returns:

the inference instructions

schema

public abstract org.apache.iceberg.Schema schema()

The schema to use for inference. The resulting definition will have columns in the same order as defined by this Schema.

spec

public abstract Optional<org.apache.iceberg.PartitionSpec> spec()

The partition spec to use for inference. The identity transforms of this PartitionSpec will be used to make the resulting definition have the relevant Partitioning columns.

Warning: inferring using a partition spec for general-purpose use is dangerous. This is only meant to be applied in situations where callers are working with a fixed set of data files that have this spec (or a superset of this spec); or, when the caller is able to guarantee that all current and future data files will have this spec (or a superset of this spec).

namerFactory

@Default
public InferenceInstructions.Namer.Factory namerFactory()

The namer factory. Defaults to fieldName("_"), which will create Deephaven column name by joining together the field names with an underscore and legalize the name if necessary.

See Also:

• InferenceInstructions.Namer.Factory.fieldName(String)

failOnUnsupportedTypes

@Default
public boolean failOnUnsupportedTypes()

If inference should fail if any of the Iceberg fields fail to map to Deephaven columns. By default, is false.