Class Dataset.Builder (3.46.0) 

public static final class Dataset.Builder extends GeneratedMessageV3.Builder<Dataset.Builder> implements DatasetOrBuilder

A collection of DataItems and Annotations on them.

Protobuf type google.cloud.aiplatform.v1.Dataset

Inheritance

Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > Dataset.Builder

Implements

DatasetOrBuilder

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
Type Description
Descriptor

Methods

addAllSavedQueries(Iterable<? extends SavedQuery> values)

public Dataset.Builder addAllSavedQueries(Iterable<? extends SavedQuery> values)

All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.

repeated .google.cloud.aiplatform.v1.SavedQuery saved_queries = 9;

Parameter
Name Description
values Iterable<? extends com.google.cloud.aiplatform.v1.SavedQuery>
Returns
Type Description
Dataset.Builder

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public Dataset.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters
Name Description
field FieldDescriptor
value Object
Returns
Type Description
Dataset.Builder
Overrides

addSavedQueries(SavedQuery value)

public Dataset.Builder addSavedQueries(SavedQuery value)

All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.

repeated .google.cloud.aiplatform.v1.SavedQuery saved_queries = 9;

Parameter
Name Description
value SavedQuery
Returns
Type Description
Dataset.Builder

addSavedQueries(SavedQuery.Builder builderForValue)

public Dataset.Builder addSavedQueries(SavedQuery.Builder builderForValue)

All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.

repeated .google.cloud.aiplatform.v1.SavedQuery saved_queries = 9;

Parameter
Name Description
builderForValue SavedQuery.Builder
Returns
Type Description
Dataset.Builder

addSavedQueries(int index, SavedQuery value)

public Dataset.Builder addSavedQueries(int index, SavedQuery value)

All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.

repeated .google.cloud.aiplatform.v1.SavedQuery saved_queries = 9;

Parameters
Name Description
index int
value SavedQuery
Returns
Type Description
Dataset.Builder

addSavedQueries(int index, SavedQuery.Builder builderForValue)

public Dataset.Builder addSavedQueries(int index, SavedQuery.Builder builderForValue)

All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.

repeated .google.cloud.aiplatform.v1.SavedQuery saved_queries = 9;

Parameters
Name Description
index int
builderForValue SavedQuery.Builder
Returns
Type Description
Dataset.Builder

addSavedQueriesBuilder()

public SavedQuery.Builder addSavedQueriesBuilder()

All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.

repeated .google.cloud.aiplatform.v1.SavedQuery saved_queries = 9;

Returns
Type Description
SavedQuery.Builder

addSavedQueriesBuilder(int index)

public SavedQuery.Builder addSavedQueriesBuilder(int index)

All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.

repeated .google.cloud.aiplatform.v1.SavedQuery saved_queries = 9;

Parameter
Name Description
index int
Returns
Type Description
SavedQuery.Builder

build()

public Dataset build()
Returns
Type Description
Dataset

buildPartial()

public Dataset buildPartial()
Returns
Type Description
Dataset

clear()

public Dataset.Builder clear()
Returns
Type Description
Dataset.Builder
Overrides

clearCreateTime()

public Dataset.Builder clearCreateTime()

Output only. Timestamp when this Dataset was created.

.google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
Dataset.Builder

clearDataItemCount()

public Dataset.Builder clearDataItemCount()

Output only. The number of DataItems in this Dataset. Only apply for non-structured Dataset.

int64 data_item_count = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
Dataset.Builder

This builder for chaining.

clearDescription()

public Dataset.Builder clearDescription()

The description of the Dataset.

string description = 16;

Returns
Type Description
Dataset.Builder

This builder for chaining.

clearDisplayName()

public Dataset.Builder clearDisplayName()

Required. The user-defined name of the Dataset. The name can be up to 128 characters long and can consist of any UTF-8 characters.

string display_name = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
Dataset.Builder

This builder for chaining.

clearEncryptionSpec()

public Dataset.Builder clearEncryptionSpec()

Customer-managed encryption key spec for a Dataset. If set, this Dataset and all sub-resources of this Dataset will be secured by this key.

.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 11;

Returns
Type Description
Dataset.Builder

clearEtag()

public Dataset.Builder clearEtag()

Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.

string etag = 6;

Returns
Type Description
Dataset.Builder

This builder for chaining.

clearField(Descriptors.FieldDescriptor field)

public Dataset.Builder clearField(Descriptors.FieldDescriptor field)
Parameter
Name Description
field FieldDescriptor
Returns
Type Description
Dataset.Builder
Overrides

clearLabels()

public Dataset.Builder clearLabels()
Returns
Type Description
Dataset.Builder

clearMetadata()

public Dataset.Builder clearMetadata()

Required. Additional information about the Dataset.

.google.protobuf.Value metadata = 8 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
Dataset.Builder

clearMetadataArtifact()

public Dataset.Builder clearMetadataArtifact()

Output only. The resource name of the Artifact that was created in MetadataStore when creating the Dataset. The Artifact resource name pattern is projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}.

string metadata_artifact = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
Dataset.Builder

This builder for chaining.

clearMetadataSchemaUri()

public Dataset.Builder clearMetadataSchemaUri()

Required. Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/.

string metadata_schema_uri = 3 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
Dataset.Builder

This builder for chaining.

clearModelReference()

public Dataset.Builder clearModelReference()

Optional. Reference to the public base model last used by the dataset. Only set for prompt datasets.

string model_reference = 18 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
Dataset.Builder

This builder for chaining.

clearName()

public Dataset.Builder clearName()

Output only. The resource name of the Dataset.

string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
Dataset.Builder

This builder for chaining.

clearOneof(Descriptors.OneofDescriptor oneof)

public Dataset.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
Name Description
oneof OneofDescriptor
Returns
Type Description
Dataset.Builder
Overrides

clearSavedQueries()

public Dataset.Builder clearSavedQueries()

All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.

repeated .google.cloud.aiplatform.v1.SavedQuery saved_queries = 9;

Returns
Type Description
Dataset.Builder

clearUpdateTime()

public Dataset.Builder clearUpdateTime()

Output only. Timestamp when this Dataset was last updated.

.google.protobuf.Timestamp update_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
Dataset.Builder

clone()

public Dataset.Builder clone()
Returns
Type Description
Dataset.Builder
Overrides

containsLabels(String key)

public boolean containsLabels(String key)

The labels with user-defined metadata to organize your Datasets.

Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. No more than 64 user labels can be associated with one Dataset (System labels are excluded).

See https://goo.gl/xmQnxf for more information and examples of labels. System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable. Following system labels exist for each Dataset:

  • "aiplatform.googleapis.com/dataset_metadata_schema": output only, its value is the metadata_schema's title.

map<string, string> labels = 7;

Parameter
Name Description
key String
Returns
Type Description
boolean

getCreateTime()

public Timestamp getCreateTime()

Output only. Timestamp when this Dataset was created.

.google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
Timestamp

The createTime.

getCreateTimeBuilder()

public Timestamp.Builder getCreateTimeBuilder()

Output only. Timestamp when this Dataset was created.

.google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
Builder

getCreateTimeOrBuilder()

public TimestampOrBuilder getCreateTimeOrBuilder()

Output only. Timestamp when this Dataset was created.

.google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
TimestampOrBuilder

getDataItemCount()

public long getDataItemCount()

Output only. The number of DataItems in this Dataset. Only apply for non-structured Dataset.

int64 data_item_count = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
long

The dataItemCount.

getDefaultInstanceForType()

public Dataset getDefaultInstanceForType()
Returns
Type Description
Dataset

getDescription()

public String getDescription()

The description of the Dataset.

string description = 16;

Returns
Type Description
String

The description.

getDescriptionBytes()

public ByteString getDescriptionBytes()

The description of the Dataset.

string description = 16;

Returns
Type Description
ByteString

The bytes for description.

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()
Returns
Type Description
Descriptor
Overrides

getDisplayName()

public String getDisplayName()

Required. The user-defined name of the Dataset. The name can be up to 128 characters long and can consist of any UTF-8 characters.

string display_name = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
String

The displayName.

getDisplayNameBytes()

public ByteString getDisplayNameBytes()

Required. The user-defined name of the Dataset. The name can be up to 128 characters long and can consist of any UTF-8 characters.

string display_name = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
ByteString

The bytes for displayName.

getEncryptionSpec()

public EncryptionSpec getEncryptionSpec()

Customer-managed encryption key spec for a Dataset. If set, this Dataset and all sub-resources of this Dataset will be secured by this key.

.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 11;

Returns
Type Description
EncryptionSpec

The encryptionSpec.

getEncryptionSpecBuilder()

public EncryptionSpec.Builder getEncryptionSpecBuilder()

Customer-managed encryption key spec for a Dataset. If set, this Dataset and all sub-resources of this Dataset will be secured by this key.

.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 11;

Returns
Type Description
EncryptionSpec.Builder

getEncryptionSpecOrBuilder()

public EncryptionSpecOrBuilder getEncryptionSpecOrBuilder()

Customer-managed encryption key spec for a Dataset. If set, this Dataset and all sub-resources of this Dataset will be secured by this key.

.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 11;

Returns
Type Description
EncryptionSpecOrBuilder

getEtag()

public String getEtag()

Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.

string etag = 6;

Returns
Type Description
String

The etag.

getEtagBytes()

public ByteString getEtagBytes()

Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.

string etag = 6;

Returns
Type Description
ByteString

The bytes for etag.

getLabels() (deprecated)

public Map<String,String> getLabels()

Use #getLabelsMap() instead.

Returns
Type Description
Map<String,String>

getLabelsCount()

public int getLabelsCount()

The labels with user-defined metadata to organize your Datasets.

Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. No more than 64 user labels can be associated with one Dataset (System labels are excluded).

See https://goo.gl/xmQnxf for more information and examples of labels. System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable. Following system labels exist for each Dataset:

  • "aiplatform.googleapis.com/dataset_metadata_schema": output only, its value is the metadata_schema's title.

map<string, string> labels = 7;

Returns
Type Description
int

getLabelsMap()

public Map<String,String> getLabelsMap()

The labels with user-defined metadata to organize your Datasets.

Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. No more than 64 user labels can be associated with one Dataset (System labels are excluded).

See https://goo.gl/xmQnxf for more information and examples of labels. System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable. Following system labels exist for each Dataset:

  • "aiplatform.googleapis.com/dataset_metadata_schema": output only, its value is the metadata_schema's title.

map<string, string> labels = 7;

Returns
Type Description
Map<String,String>

getLabelsOrDefault(String key, String defaultValue)

public String getLabelsOrDefault(String key, String defaultValue)

The labels with user-defined metadata to organize your Datasets.

Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. No more than 64 user labels can be associated with one Dataset (System labels are excluded).

See https://goo.gl/xmQnxf for more information and examples of labels. System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable. Following system labels exist for each Dataset:

  • "aiplatform.googleapis.com/dataset_metadata_schema": output only, its value is the metadata_schema's title.

map<string, string> labels = 7;

Parameters
Name Description
key String
defaultValue String
Returns
Type Description
String

getLabelsOrThrow(String key)

public String getLabelsOrThrow(String key)

The labels with user-defined metadata to organize your Datasets.

Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. No more than 64 user labels can be associated with one Dataset (System labels are excluded).

See https://goo.gl/xmQnxf for more information and examples of labels. System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable. Following system labels exist for each Dataset:

  • "aiplatform.googleapis.com/dataset_metadata_schema": output only, its value is the metadata_schema's title.

map<string, string> labels = 7;

Parameter
Name Description
key String
Returns
Type Description
String

getMetadata()

public Value getMetadata()

Required. Additional information about the Dataset.

.google.protobuf.Value metadata = 8 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
Value

The metadata.

getMetadataArtifact()

public String getMetadataArtifact()

Output only. The resource name of the Artifact that was created in MetadataStore when creating the Dataset. The Artifact resource name pattern is projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}.

string metadata_artifact = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
String

The metadataArtifact.

getMetadataArtifactBytes()

public ByteString getMetadataArtifactBytes()

Output only. The resource name of the Artifact that was created in MetadataStore when creating the Dataset. The Artifact resource name pattern is projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}.

string metadata_artifact = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
ByteString

The bytes for metadataArtifact.

getMetadataBuilder()

public Value.Builder getMetadataBuilder()

Required. Additional information about the Dataset.

.google.protobuf.Value metadata = 8 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
Builder

getMetadataOrBuilder()

public ValueOrBuilder getMetadataOrBuilder()

Required. Additional information about the Dataset.

.google.protobuf.Value metadata = 8 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
ValueOrBuilder

getMetadataSchemaUri()

public String getMetadataSchemaUri()

Required. Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/.

string metadata_schema_uri = 3 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
String

The metadataSchemaUri.

getMetadataSchemaUriBytes()

public ByteString getMetadataSchemaUriBytes()

Required. Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/.

string metadata_schema_uri = 3 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
ByteString

The bytes for metadataSchemaUri.

getModelReference()

public String getModelReference()

Optional. Reference to the public base model last used by the dataset. Only set for prompt datasets.

string model_reference = 18 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
String

The modelReference.

getModelReferenceBytes()

public ByteString getModelReferenceBytes()

Optional. Reference to the public base model last used by the dataset. Only set for prompt datasets.

string model_reference = 18 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
ByteString

The bytes for modelReference.

getMutableLabels() (deprecated)

public Map<String,String> getMutableLabels()

Use alternate mutation accessors instead.

Returns
Type Description
Map<String,String>

getName()

public String getName()

Output only. The resource name of the Dataset.

string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
String

The name.

getNameBytes()

public ByteString getNameBytes()

Output only. The resource name of the Dataset.

string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
ByteString

The bytes for name.

getSavedQueries(int index)

public SavedQuery getSavedQueries(int index)

All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.

repeated .google.cloud.aiplatform.v1.SavedQuery saved_queries = 9;

Parameter
Name Description
index int
Returns
Type Description
SavedQuery

getSavedQueriesBuilder(int index)

public SavedQuery.Builder getSavedQueriesBuilder(int index)

All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.

repeated .google.cloud.aiplatform.v1.SavedQuery saved_queries = 9;

Parameter
Name Description
index int
Returns
Type Description
SavedQuery.Builder

getSavedQueriesBuilderList()

public List<SavedQuery.Builder> getSavedQueriesBuilderList()

All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.

repeated .google.cloud.aiplatform.v1.SavedQuery saved_queries = 9;

Returns
Type Description
List<Builder>

getSavedQueriesCount()

public int getSavedQueriesCount()

All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.

repeated .google.cloud.aiplatform.v1.SavedQuery saved_queries = 9;

Returns
Type Description
int

getSavedQueriesList()

public List<SavedQuery> getSavedQueriesList()

All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.

repeated .google.cloud.aiplatform.v1.SavedQuery saved_queries = 9;

Returns
Type Description
List<SavedQuery>

getSavedQueriesOrBuilder(int index)

public SavedQueryOrBuilder getSavedQueriesOrBuilder(int index)

All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.

repeated .google.cloud.aiplatform.v1.SavedQuery saved_queries = 9;

Parameter
Name Description
index int
Returns
Type Description
SavedQueryOrBuilder

getSavedQueriesOrBuilderList()

public List<? extends SavedQueryOrBuilder> getSavedQueriesOrBuilderList()

All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.

repeated .google.cloud.aiplatform.v1.SavedQuery saved_queries = 9;

Returns
Type Description
List<? extends com.google.cloud.aiplatform.v1.SavedQueryOrBuilder>

getUpdateTime()

public Timestamp getUpdateTime()

Output only. Timestamp when this Dataset was last updated.

.google.protobuf.Timestamp update_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
Timestamp

The updateTime.

getUpdateTimeBuilder()

public Timestamp.Builder getUpdateTimeBuilder()

Output only. Timestamp when this Dataset was last updated.

.google.protobuf.Timestamp update_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
Builder

getUpdateTimeOrBuilder()

public TimestampOrBuilder getUpdateTimeOrBuilder()

Output only. Timestamp when this Dataset was last updated.

.google.protobuf.Timestamp update_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
TimestampOrBuilder

hasCreateTime()

public boolean hasCreateTime()

Output only. Timestamp when this Dataset was created.

.google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
boolean

Whether the createTime field is set.

hasEncryptionSpec()

public boolean hasEncryptionSpec()

Customer-managed encryption key spec for a Dataset. If set, this Dataset and all sub-resources of this Dataset will be secured by this key.

.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 11;

Returns
Type Description
boolean

Whether the encryptionSpec field is set.

hasMetadata()

public boolean hasMetadata()

Required. Additional information about the Dataset.

.google.protobuf.Value metadata = 8 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
boolean

Whether the metadata field is set.

hasUpdateTime()

public boolean hasUpdateTime()

Output only. Timestamp when this Dataset was last updated.

.google.protobuf.Timestamp update_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
boolean

Whether the updateTime field is set.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Type Description
FieldAccessorTable
Overrides

internalGetMapFieldReflection(int number)

protected MapFieldReflectionAccessor internalGetMapFieldReflection(int number)
Parameter
Name Description
number int
Returns
Type Description
com.google.protobuf.MapFieldReflectionAccessor
Overrides
com.google.protobuf.GeneratedMessageV3.Builder.internalGetMapFieldReflection(int)

internalGetMutableMapFieldReflection(int number)

protected MapFieldReflectionAccessor internalGetMutableMapFieldReflection(int number)
Parameter
Name Description
number int
Returns
Type Description
com.google.protobuf.MapFieldReflectionAccessor
Overrides
com.google.protobuf.GeneratedMessageV3.Builder.internalGetMutableMapFieldReflection(int)

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

mergeCreateTime(Timestamp value)

public Dataset.Builder mergeCreateTime(Timestamp value)

Output only. Timestamp when this Dataset was created.

.google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name Description
value Timestamp
Returns
Type Description
Dataset.Builder

mergeEncryptionSpec(EncryptionSpec value)

public Dataset.Builder mergeEncryptionSpec(EncryptionSpec value)

Customer-managed encryption key spec for a Dataset. If set, this Dataset and all sub-resources of this Dataset will be secured by this key.

.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 11;

Parameter
Name Description
value EncryptionSpec
Returns
Type Description
Dataset.Builder

mergeFrom(Dataset other)

public Dataset.Builder mergeFrom(Dataset other)
Parameter
Name Description
other Dataset
Returns
Type Description
Dataset.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public Dataset.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input CodedInputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
Dataset.Builder
Overrides
Exceptions
Type Description
IOException

mergeFrom(Message other)

public Dataset.Builder mergeFrom(Message other)
Parameter
Name Description
other Message
Returns
Type Description
Dataset.Builder
Overrides

mergeMetadata(Value value)

public Dataset.Builder mergeMetadata(Value value)

Required. Additional information about the Dataset.

.google.protobuf.Value metadata = 8 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name Description
value Value
Returns
Type Description
Dataset.Builder

mergeUnknownFields(UnknownFieldSet unknownFields)

public final Dataset.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter
Name Description
unknownFields UnknownFieldSet
Returns
Type Description
Dataset.Builder
Overrides

mergeUpdateTime(Timestamp value)

public Dataset.Builder mergeUpdateTime(Timestamp value)

Output only. Timestamp when this Dataset was last updated.

.google.protobuf.Timestamp update_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name Description
value Timestamp
Returns
Type Description
Dataset.Builder

putAllLabels(Map<String,String> values)

public Dataset.Builder putAllLabels(Map<String,String> values)

The labels with user-defined metadata to organize your Datasets.

Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. No more than 64 user labels can be associated with one Dataset (System labels are excluded).

See https://goo.gl/xmQnxf for more information and examples of labels. System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable. Following system labels exist for each Dataset:

  • "aiplatform.googleapis.com/dataset_metadata_schema": output only, its value is the metadata_schema's title.

map<string, string> labels = 7;

Parameter
Name Description
values Map<String,String>
Returns
Type Description
Dataset.Builder

putLabels(String key, String value)

public Dataset.Builder putLabels(String key, String value)

The labels with user-defined metadata to organize your Datasets.

Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. No more than 64 user labels can be associated with one Dataset (System labels are excluded).

See https://goo.gl/xmQnxf for more information and examples of labels. System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable. Following system labels exist for each Dataset:

  • "aiplatform.googleapis.com/dataset_metadata_schema": output only, its value is the metadata_schema's title.

map<string, string> labels = 7;

Parameters
Name Description
key String
value String
Returns
Type Description
Dataset.Builder

removeLabels(String key)

public Dataset.Builder removeLabels(String key)

The labels with user-defined metadata to organize your Datasets.

Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. No more than 64 user labels can be associated with one Dataset (System labels are excluded).

See https://goo.gl/xmQnxf for more information and examples of labels. System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable. Following system labels exist for each Dataset:

  • "aiplatform.googleapis.com/dataset_metadata_schema": output only, its value is the metadata_schema's title.

map<string, string> labels = 7;

Parameter
Name Description
key String
Returns
Type Description
Dataset.Builder

removeSavedQueries(int index)

public Dataset.Builder removeSavedQueries(int index)

All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.

repeated .google.cloud.aiplatform.v1.SavedQuery saved_queries = 9;

Parameter
Name Description
index int
Returns
Type Description
Dataset.Builder

setCreateTime(Timestamp value)

public Dataset.Builder setCreateTime(Timestamp value)

Output only. Timestamp when this Dataset was created.

.google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name Description
value Timestamp
Returns
Type Description
Dataset.Builder

setCreateTime(Timestamp.Builder builderForValue)

public Dataset.Builder setCreateTime(Timestamp.Builder builderForValue)

Output only. Timestamp when this Dataset was created.

.google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name Description
builderForValue Builder
Returns
Type Description
Dataset.Builder

setDataItemCount(long value)

public Dataset.Builder setDataItemCount(long value)

Output only. The number of DataItems in this Dataset. Only apply for non-structured Dataset.

int64 data_item_count = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name Description
value long

The dataItemCount to set.
Returns
Type Description
Dataset.Builder

This builder for chaining.

setDescription(String value)

public Dataset.Builder setDescription(String value)

The description of the Dataset.

string description = 16;

Parameter
Name Description
value String

The description to set.
Returns
Type Description
Dataset.Builder

This builder for chaining.

setDescriptionBytes(ByteString value)

public Dataset.Builder setDescriptionBytes(ByteString value)

The description of the Dataset.

string description = 16;

Parameter
Name Description
value ByteString

The bytes for description to set.
Returns
Type Description
Dataset.Builder

This builder for chaining.

setDisplayName(String value)

public Dataset.Builder setDisplayName(String value)

Required. The user-defined name of the Dataset. The name can be up to 128 characters long and can consist of any UTF-8 characters.

string display_name = 2 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name Description
value String

The displayName to set.
Returns
Type Description
Dataset.Builder

This builder for chaining.

setDisplayNameBytes(ByteString value)

public Dataset.Builder setDisplayNameBytes(ByteString value)

Required. The user-defined name of the Dataset. The name can be up to 128 characters long and can consist of any UTF-8 characters.

string display_name = 2 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name Description
value ByteString

The bytes for displayName to set.
Returns
Type Description
Dataset.Builder

This builder for chaining.

setEncryptionSpec(EncryptionSpec value)

public Dataset.Builder setEncryptionSpec(EncryptionSpec value)

Customer-managed encryption key spec for a Dataset. If set, this Dataset and all sub-resources of this Dataset will be secured by this key.

.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 11;

Parameter
Name Description
value EncryptionSpec
Returns
Type Description
Dataset.Builder

setEncryptionSpec(EncryptionSpec.Builder builderForValue)

public Dataset.Builder setEncryptionSpec(EncryptionSpec.Builder builderForValue)

Customer-managed encryption key spec for a Dataset. If set, this Dataset and all sub-resources of this Dataset will be secured by this key.

.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 11;

Parameter
Name Description
builderForValue EncryptionSpec.Builder
Returns
Type Description
Dataset.Builder

setEtag(String value)

public Dataset.Builder setEtag(String value)

Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.

string etag = 6;

Parameter
Name Description
value String

The etag to set.
Returns
Type Description
Dataset.Builder

This builder for chaining.

setEtagBytes(ByteString value)

public Dataset.Builder setEtagBytes(ByteString value)

Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.

string etag = 6;

Parameter
Name Description
value ByteString

The bytes for etag to set.
Returns
Type Description
Dataset.Builder

This builder for chaining.

setField(Descriptors.FieldDescriptor field, Object value)

public Dataset.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters
Name Description
field FieldDescriptor
value Object
Returns
Type Description
Dataset.Builder
Overrides

setMetadata(Value value)

public Dataset.Builder setMetadata(Value value)

Required. Additional information about the Dataset.

.google.protobuf.Value metadata = 8 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name Description
value Value
Returns
Type Description
Dataset.Builder

setMetadata(Value.Builder builderForValue)

public Dataset.Builder setMetadata(Value.Builder builderForValue)

Required. Additional information about the Dataset.

.google.protobuf.Value metadata = 8 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name Description
builderForValue Builder
Returns
Type Description
Dataset.Builder

setMetadataArtifact(String value)

public Dataset.Builder setMetadataArtifact(String value)

Output only. The resource name of the Artifact that was created in MetadataStore when creating the Dataset. The Artifact resource name pattern is projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}.

string metadata_artifact = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name Description
value String

The metadataArtifact to set.
Returns
Type Description
Dataset.Builder

This builder for chaining.

setMetadataArtifactBytes(ByteString value)

public Dataset.Builder setMetadataArtifactBytes(ByteString value)

Output only. The resource name of the Artifact that was created in MetadataStore when creating the Dataset. The Artifact resource name pattern is projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}.

string metadata_artifact = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name Description
value ByteString

The bytes for metadataArtifact to set.
Returns
Type Description
Dataset.Builder

This builder for chaining.

setMetadataSchemaUri(String value)

public Dataset.Builder setMetadataSchemaUri(String value)

Required. Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/.

string metadata_schema_uri = 3 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name Description
value String

The metadataSchemaUri to set.
Returns
Type Description
Dataset.Builder

This builder for chaining.

setMetadataSchemaUriBytes(ByteString value)

public Dataset.Builder setMetadataSchemaUriBytes(ByteString value)

Required. Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/.

string metadata_schema_uri = 3 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name Description
value ByteString

The bytes for metadataSchemaUri to set.
Returns
Type Description
Dataset.Builder

This builder for chaining.

setModelReference(String value)

public Dataset.Builder setModelReference(String value)

Optional. Reference to the public base model last used by the dataset. Only set for prompt datasets.

string model_reference = 18 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
value String

The modelReference to set.
Returns
Type Description
Dataset.Builder

This builder for chaining.

setModelReferenceBytes(ByteString value)

public Dataset.Builder setModelReferenceBytes(ByteString value)

Optional. Reference to the public base model last used by the dataset. Only set for prompt datasets.

string model_reference = 18 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
value ByteString

The bytes for modelReference to set.
Returns
Type Description
Dataset.Builder

This builder for chaining.

setName(String value)

public Dataset.Builder setName(String value)

Output only. The resource name of the Dataset.

string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name Description
value String

The name to set.
Returns
Type Description
Dataset.Builder

This builder for chaining.

setNameBytes(ByteString value)

public Dataset.Builder setNameBytes(ByteString value)

Output only. The resource name of the Dataset.

string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name Description
value ByteString

The bytes for name to set.
Returns
Type Description
Dataset.Builder

This builder for chaining.

setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

public Dataset.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters
Name Description
field FieldDescriptor
index int
value Object
Returns
Type Description
Dataset.Builder
Overrides

setSavedQueries(int index, SavedQuery value)

public Dataset.Builder setSavedQueries(int index, SavedQuery value)

All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.

repeated .google.cloud.aiplatform.v1.SavedQuery saved_queries = 9;

Parameters
Name Description
index int
value SavedQuery
Returns
Type Description
Dataset.Builder

setSavedQueries(int index, SavedQuery.Builder builderForValue)

public Dataset.Builder setSavedQueries(int index, SavedQuery.Builder builderForValue)

All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.

repeated .google.cloud.aiplatform.v1.SavedQuery saved_queries = 9;

Parameters
Name Description
index int
builderForValue SavedQuery.Builder
Returns
Type Description
Dataset.Builder

setUnknownFields(UnknownFieldSet unknownFields)

public final Dataset.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter
Name Description
unknownFields UnknownFieldSet
Returns
Type Description
Dataset.Builder
Overrides

setUpdateTime(Timestamp value)

public Dataset.Builder setUpdateTime(Timestamp value)

Output only. Timestamp when this Dataset was last updated.

.google.protobuf.Timestamp update_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name Description
value Timestamp
Returns
Type Description
Dataset.Builder

setUpdateTime(Timestamp.Builder builderForValue)

public Dataset.Builder setUpdateTime(Timestamp.Builder builderForValue)

Output only. Timestamp when this Dataset was last updated.

.google.protobuf.Timestamp update_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name Description
builderForValue Builder
Returns
Type Description
Dataset.Builder