Interface DatasetOrBuilder (3.53.0) 

public interface DatasetOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

containsLabels(String key)

public abstract 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 abstract 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.

getCreateTimeOrBuilder()

public abstract 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 abstract 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.

getDescription()

public abstract String getDescription()

The description of the Dataset.

string description = 16;

Returns
Type Description
String

The description.

getDescriptionBytes()

public abstract ByteString getDescriptionBytes()

The description of the Dataset.

string description = 16;

Returns
Type Description
ByteString

The bytes for description.

getDisplayName()

public abstract 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 abstract 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 abstract 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.

getEncryptionSpecOrBuilder()

public abstract 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 abstract 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 abstract 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 abstract Map<String,String> getLabels()

Use #getLabelsMap() instead.

Returns
Type Description
Map<String,String>

getLabelsCount()

public abstract 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 abstract 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 abstract 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 abstract 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 abstract 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 abstract 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 abstract 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.

getMetadataOrBuilder()

public abstract ValueOrBuilder getMetadataOrBuilder()

Required. Additional information about the Dataset.

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

Returns
Type Description
ValueOrBuilder

getMetadataSchemaUri()

public abstract 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 abstract 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 abstract 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 abstract 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.

getName()

public abstract String getName()

Output only. Identifier. The resource name of the Dataset.

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

Returns
Type Description
String

The name.

getNameBytes()

public abstract ByteString getNameBytes()

Output only. Identifier. The resource name of the Dataset.

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

Returns
Type Description
ByteString

The bytes for name.

getSatisfiesPzi()

public abstract boolean getSatisfiesPzi()

Output only. Reserved for future use.

bool satisfies_pzi = 20 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
boolean

The satisfiesPzi.

getSatisfiesPzs()

public abstract boolean getSatisfiesPzs()

Output only. Reserved for future use.

bool satisfies_pzs = 19 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
boolean

The satisfiesPzs.

getSavedQueries(int index)

public abstract 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

getSavedQueriesCount()

public abstract 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 abstract 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 abstract 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 abstract 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 abstract 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.

getUpdateTimeOrBuilder()

public abstract 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 abstract 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 abstract 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 abstract 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 abstract 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.