Class IndexDatapoint (3.24.0)
Version 3.24.0keyboard_arrow_down
public final class IndexDatapoint extends GeneratedMessageV3 implements IndexDatapointOrBuilder
A datapoint of Index.
Protobuf type google.cloud.aiplatform.v1beta1.IndexDatapoint
Inherited Members
com.google.protobuf.GeneratedMessageV3.<ListT>makeMutableCopy(ListT)
Static Fields
public static final int CROWDING_TAG_FIELD_NUMBER
Field Value
Type Description
int
public static final int DATAPOINT_ID_FIELD_NUMBER
Field Value
Type Description
int
public static final int FEATURE_VECTOR_FIELD_NUMBER
Field Value
Type Description
int
public static final int RESTRICTS_FIELD_NUMBER
Field Value
Type Description
int
Static Methods
public static IndexDatapoint getDefaultInstance ()
public static final Descriptors . Descriptor getDescriptor ()
public static IndexDatapoint . Builder newBuilder ()
public static IndexDatapoint . Builder newBuilder ( IndexDatapoint prototype )
public static IndexDatapoint parseDelimitedFrom ( InputStream input )
public static IndexDatapoint parseDelimitedFrom ( InputStream input , ExtensionRegistryLite extensionRegistry )
public static IndexDatapoint parseFrom ( byte [] data )
Parameter
Name Description
databyte []
public static IndexDatapoint parseFrom ( byte [] data , ExtensionRegistryLite extensionRegistry )
public static IndexDatapoint parseFrom ( ByteString data )
public static IndexDatapoint parseFrom ( ByteString data , ExtensionRegistryLite extensionRegistry )
public static IndexDatapoint parseFrom ( CodedInputStream input )
public static IndexDatapoint parseFrom ( CodedInputStream input , ExtensionRegistryLite extensionRegistry )
public static IndexDatapoint parseFrom ( InputStream input )
public static IndexDatapoint parseFrom ( InputStream input , ExtensionRegistryLite extensionRegistry )
public static IndexDatapoint parseFrom ( ByteBuffer data )
public static IndexDatapoint parseFrom ( ByteBuffer data , ExtensionRegistryLite extensionRegistry )
public static Parser<IndexDatapoint> parser ()
Methods
public boolean equals ( Object obj )
Parameter
Name Description
objObject
Overrides
public IndexDatapoint . CrowdingTag getCrowdingTag ()
Optional. CrowdingTag of the datapoint, the number of neighbors to return
in each crowding can be configured during query.
.google.cloud.aiplatform.v1beta1.IndexDatapoint.CrowdingTag crowding_tag = 5 [(.google.api.field_behavior) = OPTIONAL];
public IndexDatapoint . CrowdingTagOrBuilder getCrowdingTagOrBuilder ()
Optional. CrowdingTag of the datapoint, the number of neighbors to return
in each crowding can be configured during query.
.google.cloud.aiplatform.v1beta1.IndexDatapoint.CrowdingTag crowding_tag = 5 [(.google.api.field_behavior) = OPTIONAL];
public String getDatapointId ()
Required. Unique identifier of the datapoint.
string datapoint_id = 1 [(.google.api.field_behavior) = REQUIRED];
Returns
Type Description
String The datapointId.
public ByteString getDatapointIdBytes ()
Required. Unique identifier of the datapoint.
string datapoint_id = 1 [(.google.api.field_behavior) = REQUIRED];
Returns
Type Description
ByteString The bytes for datapointId.
public IndexDatapoint getDefaultInstanceForType ()
public float getFeatureVector ( int index )
Required. Feature embedding vector. An array of numbers with the length of
[NearestNeighborSearchConfig.dimensions].
repeated float feature_vector = 2 [(.google.api.field_behavior) = REQUIRED];
Parameter
Name Description
indexint The index of the element to return.
Returns
Type Description
float The featureVector at the given index.
public int getFeatureVectorCount ()
Required. Feature embedding vector. An array of numbers with the length of
[NearestNeighborSearchConfig.dimensions].
repeated float feature_vector = 2 [(.google.api.field_behavior) = REQUIRED];
Returns
Type Description
int The count of featureVector.
public List<Float> getFeatureVectorList ()
Required. Feature embedding vector. An array of numbers with the length of
[NearestNeighborSearchConfig.dimensions].
repeated float feature_vector = 2 [(.google.api.field_behavior) = REQUIRED];
Returns
Type Description
List <Float >A list containing the featureVector.
public Parser<IndexDatapoint> getParserForType ()
Overrides
public IndexDatapoint . Restriction getRestricts ( int index )
Optional. List of Restrict of the datapoint, used to perform "restricted
searches" where boolean rule are used to filter the subset of the database
eligible for matching. See:
https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
repeated .google.cloud.aiplatform.v1beta1.IndexDatapoint.Restriction restricts = 4 [(.google.api.field_behavior) = OPTIONAL];
Parameter
Name Description
indexint
public int getRestrictsCount ()
Optional. List of Restrict of the datapoint, used to perform "restricted
searches" where boolean rule are used to filter the subset of the database
eligible for matching. See:
https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
repeated .google.cloud.aiplatform.v1beta1.IndexDatapoint.Restriction restricts = 4 [(.google.api.field_behavior) = OPTIONAL];
Returns
Type Description
int
public List<IndexDatapoint . Restriction > getRestrictsList ()
Optional. List of Restrict of the datapoint, used to perform "restricted
searches" where boolean rule are used to filter the subset of the database
eligible for matching. See:
https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
repeated .google.cloud.aiplatform.v1beta1.IndexDatapoint.Restriction restricts = 4 [(.google.api.field_behavior) = OPTIONAL];
public IndexDatapoint . RestrictionOrBuilder getRestrictsOrBuilder ( int index )
Optional. List of Restrict of the datapoint, used to perform "restricted
searches" where boolean rule are used to filter the subset of the database
eligible for matching. See:
https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
repeated .google.cloud.aiplatform.v1beta1.IndexDatapoint.Restriction restricts = 4 [(.google.api.field_behavior) = OPTIONAL];
Parameter
Name Description
indexint
public List <? extends IndexDatapoint . RestrictionOrBuilder > getRestrictsOrBuilderList ()
Optional. List of Restrict of the datapoint, used to perform "restricted
searches" where boolean rule are used to filter the subset of the database
eligible for matching. See:
https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
repeated .google.cloud.aiplatform.v1beta1.IndexDatapoint.Restriction restricts = 4 [(.google.api.field_behavior) = OPTIONAL];
Returns
Type Description
List <? extends com.google.cloud.aiplatform.v1beta1.IndexDatapoint.RestrictionOrBuilder >
public int getSerializedSize ()
Returns
Type Description
int
Overrides
public boolean hasCrowdingTag ()
Optional. CrowdingTag of the datapoint, the number of neighbors to return
in each crowding can be configured during query.
.google.cloud.aiplatform.v1beta1.IndexDatapoint.CrowdingTag crowding_tag = 5 [(.google.api.field_behavior) = OPTIONAL];
Returns
Type Description
boolean Whether the crowdingTag field is set.
Returns
Type Description
int
Overrides
protected GeneratedMessageV3 . FieldAccessorTable internalGetFieldAccessorTable ()
Overrides
public final boolean isInitialized ()
Overrides
public IndexDatapoint . Builder newBuilderForType ()
protected IndexDatapoint . Builder newBuilderForType ( GeneratedMessageV3 . BuilderParent parent )
Overrides
protected Object newInstance ( GeneratedMessageV3 . UnusedPrivateParameter unused )
Returns
Type Description
Object
Overrides
public IndexDatapoint . Builder toBuilder ()
public void writeTo ( CodedOutputStream output )
Overrides
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Last updated 2025-10-29 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-10-29 UTC."],[],[]]
