Package flyteidl.core

Interface Literals.StructuredDatasetMetadataOrBuilder

All Superinterfaces:

com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder

All Known Implementing Classes:

Literals.StructuredDatasetMetadata, Literals.StructuredDatasetMetadata.Builder

Enclosing class:

Literals

public static interface Literals.StructuredDatasetMetadataOrBuilder
extends com.google.protobuf.MessageOrBuilder

Method Summary

Modifier and Type	Method	Description
Types.StructuredDatasetType	getStructuredDatasetType()	Bundle the type information along with the literal.
Types.StructuredDatasetTypeOrBuilder	getStructuredDatasetTypeOrBuilder()	Bundle the type information along with the literal.
boolean	hasStructuredDatasetType()	Bundle the type information along with the literal.

Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

isInitialized

Methods inherited from interface com.google.protobuf.MessageOrBuilder

findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Method Detail

hasStructuredDatasetType

boolean hasStructuredDatasetType()

 Bundle the type information along with the literal.
 This is here because StructuredDatasets can often be more defined at run time than at compile time.
 That is, at compile time you might only declare a task to return a pandas dataframe or a StructuredDataset,
 without any column information, but at run time, you might have that column information.
 flytekit python will copy this type information into the literal, from the type information, if not provided by
 the various plugins (encoders).
 Since this field is run time generated, it's not used for any type checking.
 

.flyteidl.core.StructuredDatasetType structured_dataset_type = 1;

Returns:

Whether the structuredDatasetType field is set.

getStructuredDatasetType

Types.StructuredDatasetType getStructuredDatasetType()

 Bundle the type information along with the literal.
 This is here because StructuredDatasets can often be more defined at run time than at compile time.
 That is, at compile time you might only declare a task to return a pandas dataframe or a StructuredDataset,
 without any column information, but at run time, you might have that column information.
 flytekit python will copy this type information into the literal, from the type information, if not provided by
 the various plugins (encoders).
 Since this field is run time generated, it's not used for any type checking.
 

.flyteidl.core.StructuredDatasetType structured_dataset_type = 1;

Returns:

The structuredDatasetType.

getStructuredDatasetTypeOrBuilder

Types.StructuredDatasetTypeOrBuilder getStructuredDatasetTypeOrBuilder()

 Bundle the type information along with the literal.
 This is here because StructuredDatasets can often be more defined at run time than at compile time.
 That is, at compile time you might only declare a task to return a pandas dataframe or a StructuredDataset,
 without any column information, but at run time, you might have that column information.
 flytekit python will copy this type information into the literal, from the type information, if not provided by
 the various plugins (encoders).
 Since this field is run time generated, it's not used for any type checking.
 

.flyteidl.core.StructuredDatasetType structured_dataset_type = 1;