Class IndexDatapoint (3.54.0)

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public final class IndexDatapoint extends GeneratedMessageV3 implements IndexDatapointOrBuilder

A datapoint of Index.

Protobuf type google.cloud.aiplatform.v1.IndexDatapoint

Inheritance

Object > AbstractMessageLite<MessageType,BuilderType> > AbstractMessage > GeneratedMessageV3 > IndexDatapoint

Implements

IndexDatapointOrBuilder

Inherited Members

AbstractMessage.equals(Object)

AbstractMessage.findInitializationErrors()

AbstractMessage.getInitializationErrorString()

AbstractMessage.hashBoolean(boolean)

AbstractMessage.hashCode()

AbstractMessage.hashEnum(Internal.EnumLite)

AbstractMessage.hashEnumList(List<? extends Internal.EnumLite>)

AbstractMessage.hashFields(int,Map<Descriptors.FieldDescriptor,Object>)

AbstractMessage.hashLong(long)

AbstractMessage.toString()

AbstractMessageLite.<T>addAll(Iterable<T>,Collection<? super T>)

AbstractMessageLite.<T>addAll(Iterable<T>,List<? super T>)

AbstractMessageLite.checkByteStringIsUtf8(ByteString)

AbstractMessageLite.toByteArray()

AbstractMessageLite.toByteString()

AbstractMessageLite.writeDelimitedTo(OutputStream)

AbstractMessageLite.writeTo(OutputStream)

com.google.protobuf.GeneratedMessageV3.<ListT>makeMutableCopy(ListT)

com.google.protobuf.GeneratedMessageV3.<ListT>makeMutableCopy(ListT,int)

GeneratedMessageV3.<M>parseDelimitedWithIOException(Parser<M>,InputStream)

GeneratedMessageV3.<M>parseDelimitedWithIOException(Parser<M>,InputStream,ExtensionRegistryLite)

GeneratedMessageV3.<M>parseWithIOException(Parser<M>,CodedInputStream)

GeneratedMessageV3.<M>parseWithIOException(Parser<M>,CodedInputStream,ExtensionRegistryLite)

GeneratedMessageV3.<M>parseWithIOException(Parser<M>,InputStream)

GeneratedMessageV3.<M>parseWithIOException(Parser<M>,InputStream,ExtensionRegistryLite)

com.google.protobuf.GeneratedMessageV3.<T>emptyList(java.lang.Class<T>)

GeneratedMessageV3.<V>serializeBooleanMapTo(CodedOutputStream,MapField<Boolean,V>,MapEntry<Boolean,V>,int)

GeneratedMessageV3.<V>serializeIntegerMapTo(CodedOutputStream,MapField<Integer,V>,MapEntry<Integer,V>,int)

GeneratedMessageV3.<V>serializeLongMapTo(CodedOutputStream,MapField<Long,V>,MapEntry<Long,V>,int)

GeneratedMessageV3.<V>serializeStringMapTo(CodedOutputStream,MapField<String,V>,MapEntry<String,V>,int)

GeneratedMessageV3.canUseUnsafe()

GeneratedMessageV3.computeStringSize(int,Object)

GeneratedMessageV3.computeStringSizeNoTag(Object)

GeneratedMessageV3.emptyBooleanList()

GeneratedMessageV3.emptyDoubleList()

GeneratedMessageV3.emptyFloatList()

GeneratedMessageV3.emptyIntList()

GeneratedMessageV3.emptyLongList()

GeneratedMessageV3.getAllFields()

GeneratedMessageV3.getDescriptorForType()

GeneratedMessageV3.getField(Descriptors.FieldDescriptor)

GeneratedMessageV3.getOneofFieldDescriptor(Descriptors.OneofDescriptor)

GeneratedMessageV3.getParserForType()

GeneratedMessageV3.getRepeatedField(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.getRepeatedFieldCount(Descriptors.FieldDescriptor)

GeneratedMessageV3.getSerializedSize()

GeneratedMessageV3.getUnknownFields()

GeneratedMessageV3.hasField(Descriptors.FieldDescriptor)

GeneratedMessageV3.hasOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.internalGetFieldAccessorTable()

GeneratedMessageV3.internalGetMapField(int)

com.google.protobuf.GeneratedMessageV3.internalGetMapFieldReflection(int)

GeneratedMessageV3.isInitialized()

GeneratedMessageV3.isStringEmpty(Object)

GeneratedMessageV3.makeExtensionsImmutable()

GeneratedMessageV3.mergeFromAndMakeImmutableInternal(CodedInputStream,ExtensionRegistryLite)

GeneratedMessageV3.mutableCopy(Internal.BooleanList)

GeneratedMessageV3.mutableCopy(Internal.DoubleList)

GeneratedMessageV3.mutableCopy(Internal.FloatList)

GeneratedMessageV3.mutableCopy(Internal.IntList)

GeneratedMessageV3.mutableCopy(Internal.LongList)

GeneratedMessageV3.newBooleanList()

GeneratedMessageV3.newBuilderForType(AbstractMessage.BuilderParent)

GeneratedMessageV3.newBuilderForType(GeneratedMessageV3.BuilderParent)

GeneratedMessageV3.newDoubleList()

GeneratedMessageV3.newFloatList()

GeneratedMessageV3.newInstance(GeneratedMessageV3.UnusedPrivateParameter)

GeneratedMessageV3.newIntList()

GeneratedMessageV3.newLongList()

GeneratedMessageV3.parseUnknownField(CodedInputStream,UnknownFieldSet.Builder,ExtensionRegistryLite,int)

GeneratedMessageV3.parseUnknownFieldProto3(CodedInputStream,UnknownFieldSet.Builder,ExtensionRegistryLite,int)

GeneratedMessageV3.writeReplace()

GeneratedMessageV3.writeString(CodedOutputStream,int,Object)

GeneratedMessageV3.writeStringNoTag(CodedOutputStream,Object)

GeneratedMessageV3.writeTo(CodedOutputStream)

Object.clone()

Object.finalize()

Object.getClass()

Object.notify()

Object.notifyAll()

Object.wait()

Object.wait(long)

Object.wait(long,int)

Static Fields

CROWDING_TAG_FIELD_NUMBER

public static final int CROWDING_TAG_FIELD_NUMBER

Field Value
Type	Description
int

DATAPOINT_ID_FIELD_NUMBER

public static final int DATAPOINT_ID_FIELD_NUMBER

Field Value
Type	Description
int

FEATURE_VECTOR_FIELD_NUMBER

public static final int FEATURE_VECTOR_FIELD_NUMBER

Field Value
Type	Description
int

NUMERIC_RESTRICTS_FIELD_NUMBER

public static final int NUMERIC_RESTRICTS_FIELD_NUMBER

Field Value
Type	Description
int

RESTRICTS_FIELD_NUMBER

public static final int RESTRICTS_FIELD_NUMBER

Field Value
Type	Description
int

SPARSE_EMBEDDING_FIELD_NUMBER

public static final int SPARSE_EMBEDDING_FIELD_NUMBER

Field Value
Type	Description
int

Static Methods

getDefaultInstance()

public static IndexDatapoint getDefaultInstance()

Returns
Type	Description
IndexDatapoint

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()

Returns
Type	Description
Descriptor

newBuilder()

public static IndexDatapoint.Builder newBuilder()

Returns
Type	Description
IndexDatapoint.Builder

newBuilder(IndexDatapoint prototype)

public static IndexDatapoint.Builder newBuilder(IndexDatapoint prototype)

Parameter
Name	Description
prototype	IndexDatapoint

Returns
Type	Description
IndexDatapoint.Builder

parseDelimitedFrom(InputStream input)

public static IndexDatapoint parseDelimitedFrom(InputStream input)

Parameter
Name	Description
input	InputStream

Returns
Type	Description
IndexDatapoint

Exceptions
Type	Description
IOException

parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static IndexDatapoint parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
input	InputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
IndexDatapoint

Exceptions
Type	Description
IOException

parseFrom(byte[] data)

public static IndexDatapoint parseFrom(byte[] data)

Parameter
Name	Description
data	byte[]

Returns
Type	Description
IndexDatapoint

Exceptions
Type	Description
InvalidProtocolBufferException

parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

public static IndexDatapoint parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
data	byte[]
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
IndexDatapoint

Exceptions
Type	Description
InvalidProtocolBufferException

parseFrom(ByteString data)

public static IndexDatapoint parseFrom(ByteString data)

Parameter
Name	Description
data	ByteString

Returns
Type	Description
IndexDatapoint

Exceptions
Type	Description
InvalidProtocolBufferException

parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

public static IndexDatapoint parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
data	ByteString
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
IndexDatapoint

Exceptions
Type	Description
InvalidProtocolBufferException

parseFrom(CodedInputStream input)

public static IndexDatapoint parseFrom(CodedInputStream input)

Parameter
Name	Description
input	CodedInputStream

Returns
Type	Description
IndexDatapoint

Exceptions
Type	Description
IOException

parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public static IndexDatapoint parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
IndexDatapoint

Exceptions
Type	Description
IOException

parseFrom(InputStream input)

public static IndexDatapoint parseFrom(InputStream input)

Parameter
Name	Description
input	InputStream

Returns
Type	Description
IndexDatapoint

Exceptions
Type	Description
IOException

parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static IndexDatapoint parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
input	InputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
IndexDatapoint

Exceptions
Type	Description
IOException

parseFrom(ByteBuffer data)

public static IndexDatapoint parseFrom(ByteBuffer data)

Parameter
Name	Description
data	ByteBuffer

Returns
Type	Description
IndexDatapoint

Exceptions
Type	Description
InvalidProtocolBufferException

parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

public static IndexDatapoint parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
data	ByteBuffer
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
IndexDatapoint

Exceptions
Type	Description
InvalidProtocolBufferException

parser()

public static Parser<IndexDatapoint> parser()

Returns
Type	Description
Parser<IndexDatapoint>

Methods

equals(Object obj)

public boolean equals(Object obj)

Parameter
Name	Description
obj	Object

Returns
Type	Description
boolean

Overrides

AbstractMessage.equals(Object other)

getCrowdingTag()

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.v1.IndexDatapoint.CrowdingTag crowding_tag = 5 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
IndexDatapoint.CrowdingTag	The crowdingTag.

getCrowdingTagOrBuilder()

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.v1.IndexDatapoint.CrowdingTag crowding_tag = 5 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
IndexDatapoint.CrowdingTagOrBuilder

getDatapointId()

public String getDatapointId()

Required. Unique identifier of the datapoint.

string datapoint_id = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
String	The datapointId.

getDatapointIdBytes()

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.

getDefaultInstanceForType()

public IndexDatapoint getDefaultInstanceForType()

Returns
Type	Description
IndexDatapoint

getFeatureVector(int index)

public float getFeatureVector(int index)

Required. Feature embedding vector for dense index. An array of numbers with the length of [NearestNeighborSearchConfig.dimensions].

repeated float feature_vector = 2 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
index	int The index of the element to return.

Returns
Type	Description
float	The featureVector at the given index.

getFeatureVectorCount()

public int getFeatureVectorCount()

Required. Feature embedding vector for dense index. 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.

getFeatureVectorList()

public List<Float> getFeatureVectorList()

Required. Feature embedding vector for dense index. 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.

getNumericRestricts(int index)

public IndexDatapoint.NumericRestriction getNumericRestricts(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. This uses numeric comparisons.

repeated .google.cloud.aiplatform.v1.IndexDatapoint.NumericRestriction numeric_restricts = 6 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
index	int

Returns
Type	Description
IndexDatapoint.NumericRestriction

getNumericRestrictsCount()

public int getNumericRestrictsCount()

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. This uses numeric comparisons.

repeated .google.cloud.aiplatform.v1.IndexDatapoint.NumericRestriction numeric_restricts = 6 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
int

getNumericRestrictsList()

public List<IndexDatapoint.NumericRestriction> getNumericRestrictsList()

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. This uses numeric comparisons.

repeated .google.cloud.aiplatform.v1.IndexDatapoint.NumericRestriction numeric_restricts = 6 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
List<NumericRestriction>

getNumericRestrictsOrBuilder(int index)

public IndexDatapoint.NumericRestrictionOrBuilder getNumericRestrictsOrBuilder(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. This uses numeric comparisons.

repeated .google.cloud.aiplatform.v1.IndexDatapoint.NumericRestriction numeric_restricts = 6 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
index	int

Returns
Type	Description
IndexDatapoint.NumericRestrictionOrBuilder

getNumericRestrictsOrBuilderList()

public List<? extends IndexDatapoint.NumericRestrictionOrBuilder> getNumericRestrictsOrBuilderList()

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. This uses numeric comparisons.

repeated .google.cloud.aiplatform.v1.IndexDatapoint.NumericRestriction numeric_restricts = 6 [(.google.api.field_behavior) = OPTIONAL];

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

getParserForType()

public Parser<IndexDatapoint> getParserForType()

Returns
Type	Description
Parser<IndexDatapoint>

Overrides

GeneratedMessageV3.getParserForType()

getRestricts(int index)

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. This uses categorical tokens. See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering

repeated .google.cloud.aiplatform.v1.IndexDatapoint.Restriction restricts = 4 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
index	int

Returns
Type	Description
IndexDatapoint.Restriction

getRestrictsCount()

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. This uses categorical tokens. See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering

repeated .google.cloud.aiplatform.v1.IndexDatapoint.Restriction restricts = 4 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
int

getRestrictsList()

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. This uses categorical tokens. See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering

repeated .google.cloud.aiplatform.v1.IndexDatapoint.Restriction restricts = 4 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
List<Restriction>

getRestrictsOrBuilder(int index)

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. This uses categorical tokens. See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering

repeated .google.cloud.aiplatform.v1.IndexDatapoint.Restriction restricts = 4 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
index	int

Returns
Type	Description
IndexDatapoint.RestrictionOrBuilder

getRestrictsOrBuilderList()

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. This uses categorical tokens. See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering

repeated .google.cloud.aiplatform.v1.IndexDatapoint.Restriction restricts = 4 [(.google.api.field_behavior) = OPTIONAL];

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

getSerializedSize()

public int getSerializedSize()

Returns
Type	Description
int

Overrides

GeneratedMessageV3.getSerializedSize()

getSparseEmbedding()

public IndexDatapoint.SparseEmbedding getSparseEmbedding()

Optional. Feature embedding vector for sparse index.

.google.cloud.aiplatform.v1.IndexDatapoint.SparseEmbedding sparse_embedding = 7 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
IndexDatapoint.SparseEmbedding	The sparseEmbedding.

getSparseEmbeddingOrBuilder()

public IndexDatapoint.SparseEmbeddingOrBuilder getSparseEmbeddingOrBuilder()

Optional. Feature embedding vector for sparse index.

.google.cloud.aiplatform.v1.IndexDatapoint.SparseEmbedding sparse_embedding = 7 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
IndexDatapoint.SparseEmbeddingOrBuilder

hasCrowdingTag()

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.v1.IndexDatapoint.CrowdingTag crowding_tag = 5 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
boolean	Whether the crowdingTag field is set.

hasSparseEmbedding()

public boolean hasSparseEmbedding()

Optional. Feature embedding vector for sparse index.

.google.cloud.aiplatform.v1.IndexDatapoint.SparseEmbedding sparse_embedding = 7 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
boolean	Whether the sparseEmbedding field is set.

hashCode()

public int hashCode()

Returns
Type	Description
int

Overrides

AbstractMessage.hashCode()

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Returns
Type	Description
FieldAccessorTable

Overrides

GeneratedMessageV3.internalGetFieldAccessorTable()

isInitialized()

public final boolean isInitialized()

Returns
Type	Description
boolean

Overrides

GeneratedMessageV3.isInitialized()

newBuilderForType()

public IndexDatapoint.Builder newBuilderForType()

Returns
Type	Description
IndexDatapoint.Builder

newBuilderForType(GeneratedMessageV3.BuilderParent parent)

protected IndexDatapoint.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)

Parameter
Name	Description
parent	BuilderParent

Returns
Type	Description
IndexDatapoint.Builder

Overrides

GeneratedMessageV3.newBuilderForType(GeneratedMessageV3.BuilderParent parent)

newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

Parameter
Name	Description
unused	UnusedPrivateParameter

Returns
Type	Description
Object

Overrides

GeneratedMessageV3.newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

toBuilder()

public IndexDatapoint.Builder toBuilder()

Returns
Type	Description
IndexDatapoint.Builder

writeTo(CodedOutputStream output)

public void writeTo(CodedOutputStream output)

Parameter
Name	Description
output	CodedOutputStream

Overrides

GeneratedMessageV3.writeTo(CodedOutputStream output)

Exceptions
Type	Description
IOException