Package com.google.cloud.aiplatform.v1

Class DeployedIndex.Builder

java.lang.Object
com.google.protobuf.AbstractMessageLite.Builder
com.google.protobuf.AbstractMessage.Builder<BuilderT>
com.google.protobuf.GeneratedMessage.Builder<DeployedIndex.Builder>
com.google.cloud.aiplatform.v1.DeployedIndex.Builder
All Implemented Interfaces:
DeployedIndexOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable
Enclosing class:
DeployedIndex
public static final class DeployedIndex.Builder extends com.google.protobuf.GeneratedMessage.Builder<DeployedIndex.Builder> implements DeployedIndexOrBuilder
 A deployment of an Index. IndexEndpoints contain one or more DeployedIndexes.
Protobuf type google.cloud.aiplatform.v1.DeployedIndex

  • Method Details

    • getDescriptor

      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()

    • internalGetFieldAccessorTable

      protected com.google.protobuf.GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()
      Specified by:
      internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessage.Builder<DeployedIndex.Builder>

    • clear

      public DeployedIndex.Builder clear()
      Specified by:
      clear in interface com.google.protobuf.Message.Builder
      Specified by:
      clear in interface com.google.protobuf.MessageLite.Builder
      Overrides:
      clear in class com.google.protobuf.GeneratedMessage.Builder<DeployedIndex.Builder>

    • getDescriptorForType

      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
      Specified by:
      getDescriptorForType in interface com.google.protobuf.Message.Builder
      Specified by:
      getDescriptorForType in interface com.google.protobuf.MessageOrBuilder
      Overrides:
      getDescriptorForType in class com.google.protobuf.GeneratedMessage.Builder<DeployedIndex.Builder>

    • getDefaultInstanceForType

      public DeployedIndex getDefaultInstanceForType()
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

    • build

      public DeployedIndex build()
      Specified by:
      build in interface com.google.protobuf.Message.Builder
      Specified by:
      build in interface com.google.protobuf.MessageLite.Builder

    • buildPartial

      public DeployedIndex buildPartial()
      Specified by:
      buildPartial in interface com.google.protobuf.Message.Builder
      Specified by:
      buildPartial in interface com.google.protobuf.MessageLite.Builder

    • mergeFrom

      public DeployedIndex.Builder mergeFrom(com.google.protobuf.Message other)
      Specified by:
      mergeFrom in interface com.google.protobuf.Message.Builder
      Overrides:
      mergeFrom in class com.google.protobuf.AbstractMessage.Builder<DeployedIndex.Builder>

    • mergeFrom

      public DeployedIndex.Builder mergeFrom(DeployedIndex other)

    • isInitialized

      public final boolean isInitialized()
      Specified by:
      isInitialized in interface com.google.protobuf.MessageLiteOrBuilder
      Overrides:
      isInitialized in class com.google.protobuf.GeneratedMessage.Builder<DeployedIndex.Builder>

    • mergeFrom

      public DeployedIndex.Builder mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
      Specified by:
      mergeFrom in interface com.google.protobuf.Message.Builder
      Specified by:
      mergeFrom in interface com.google.protobuf.MessageLite.Builder
      Overrides:
      mergeFrom in class com.google.protobuf.AbstractMessage.Builder<DeployedIndex.Builder>
      Throws:
      IOException

    • getId

      public String getId()
       Required. The user specified ID of the DeployedIndex.
 The ID can be up to 128 characters long and must start with a letter and
 only contain letters, numbers, and underscores.
 The ID must be unique within the project it is created in.
      string id = 1 [(.google.api.field_behavior) = REQUIRED];
      Specified by:
      getId in interface DeployedIndexOrBuilder
      Returns:
      The id.

    • getIdBytes

      public com.google.protobuf.ByteString getIdBytes()
       Required. The user specified ID of the DeployedIndex.
 The ID can be up to 128 characters long and must start with a letter and
 only contain letters, numbers, and underscores.
 The ID must be unique within the project it is created in.
      string id = 1 [(.google.api.field_behavior) = REQUIRED];
      Specified by:
      getIdBytes in interface DeployedIndexOrBuilder
      Returns:
      The bytes for id.

    • setId

      public DeployedIndex.Builder setId(String value)
       Required. The user specified ID of the DeployedIndex.
 The ID can be up to 128 characters long and must start with a letter and
 only contain letters, numbers, and underscores.
 The ID must be unique within the project it is created in.
      string id = 1 [(.google.api.field_behavior) = REQUIRED];
      Parameters:
      value - The id to set.
      Returns:
      This builder for chaining.

    • clearId

      public DeployedIndex.Builder clearId()
       Required. The user specified ID of the DeployedIndex.
 The ID can be up to 128 characters long and must start with a letter and
 only contain letters, numbers, and underscores.
 The ID must be unique within the project it is created in.
      string id = 1 [(.google.api.field_behavior) = REQUIRED];
      Returns:
      This builder for chaining.

    • setIdBytes

      public DeployedIndex.Builder setIdBytes(com.google.protobuf.ByteString value)
       Required. The user specified ID of the DeployedIndex.
 The ID can be up to 128 characters long and must start with a letter and
 only contain letters, numbers, and underscores.
 The ID must be unique within the project it is created in.
      string id = 1 [(.google.api.field_behavior) = REQUIRED];
      Parameters:
      value - The bytes for id to set.
      Returns:
      This builder for chaining.

    • getIndex

      public String getIndex()
       Required. The name of the Index this is the deployment of.
 We may refer to this Index as the DeployedIndex's "original" Index.
      string index = 2 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
      Specified by:
      getIndex in interface DeployedIndexOrBuilder
      Returns:
      The index.

    • getIndexBytes

      public com.google.protobuf.ByteString getIndexBytes()
       Required. The name of the Index this is the deployment of.
 We may refer to this Index as the DeployedIndex's "original" Index.
      string index = 2 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
      Specified by:
      getIndexBytes in interface DeployedIndexOrBuilder
      Returns:
      The bytes for index.

    • setIndex

      public DeployedIndex.Builder setIndex(String value)
       Required. The name of the Index this is the deployment of.
 We may refer to this Index as the DeployedIndex's "original" Index.
      string index = 2 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
      Parameters:
      value - The index to set.
      Returns:
      This builder for chaining.

    • clearIndex

      public DeployedIndex.Builder clearIndex()
       Required. The name of the Index this is the deployment of.
 We may refer to this Index as the DeployedIndex's "original" Index.
      string index = 2 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
      Returns:
      This builder for chaining.

    • setIndexBytes

      public DeployedIndex.Builder setIndexBytes(com.google.protobuf.ByteString value)
       Required. The name of the Index this is the deployment of.
 We may refer to this Index as the DeployedIndex's "original" Index.
      string index = 2 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
      Parameters:
      value - The bytes for index to set.
      Returns:
      This builder for chaining.

    • getDisplayName

      public String getDisplayName()
       The display name of the DeployedIndex. If not provided upon creation,
 the Index's display_name is used.
      string display_name = 3;
      Specified by:
      getDisplayName in interface DeployedIndexOrBuilder
      Returns:
      The displayName.

    • getDisplayNameBytes

      public com.google.protobuf.ByteString getDisplayNameBytes()
       The display name of the DeployedIndex. If not provided upon creation,
 the Index's display_name is used.
      string display_name = 3;
      Specified by:
      getDisplayNameBytes in interface DeployedIndexOrBuilder
      Returns:
      The bytes for displayName.

    • setDisplayName

      public DeployedIndex.Builder setDisplayName(String value)
       The display name of the DeployedIndex. If not provided upon creation,
 the Index's display_name is used.
      string display_name = 3;
      Parameters:
      value - The displayName to set.
      Returns:
      This builder for chaining.

    • clearDisplayName

      public DeployedIndex.Builder clearDisplayName()
       The display name of the DeployedIndex. If not provided upon creation,
 the Index's display_name is used.
      string display_name = 3;
      Returns:
      This builder for chaining.

    • setDisplayNameBytes

      public DeployedIndex.Builder setDisplayNameBytes(com.google.protobuf.ByteString value)
       The display name of the DeployedIndex. If not provided upon creation,
 the Index's display_name is used.
      string display_name = 3;
      Parameters:
      value - The bytes for displayName to set.
      Returns:
      This builder for chaining.

    • hasCreateTime

      public boolean hasCreateTime()
       Output only. Timestamp when the DeployedIndex was created.
      .google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Specified by:
      hasCreateTime in interface DeployedIndexOrBuilder
      Returns:
      Whether the createTime field is set.

    • getCreateTime

      public com.google.protobuf.Timestamp getCreateTime()
       Output only. Timestamp when the DeployedIndex was created.
      .google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Specified by:
      getCreateTime in interface DeployedIndexOrBuilder
      Returns:
      The createTime.

    • setCreateTime

      public DeployedIndex.Builder setCreateTime(com.google.protobuf.Timestamp value)
       Output only. Timestamp when the DeployedIndex was created.
      .google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];

    • setCreateTime

      public DeployedIndex.Builder setCreateTime(com.google.protobuf.Timestamp.Builder builderForValue)
       Output only. Timestamp when the DeployedIndex was created.
      .google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];

    • mergeCreateTime

      public DeployedIndex.Builder mergeCreateTime(com.google.protobuf.Timestamp value)
       Output only. Timestamp when the DeployedIndex was created.
      .google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];

    • clearCreateTime

      public DeployedIndex.Builder clearCreateTime()
       Output only. Timestamp when the DeployedIndex was created.
      .google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];

    • getCreateTimeBuilder

      public com.google.protobuf.Timestamp.Builder getCreateTimeBuilder()
       Output only. Timestamp when the DeployedIndex was created.
      .google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];

    • getCreateTimeOrBuilder

      public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder()
       Output only. Timestamp when the DeployedIndex was created.
      .google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Specified by:
      getCreateTimeOrBuilder in interface DeployedIndexOrBuilder

    • hasPrivateEndpoints

      public boolean hasPrivateEndpoints()
       Output only. Provides paths for users to send requests directly to the
 deployed index services running on Cloud via private services access. This
 field is populated if
 [network][google.cloud.aiplatform.v1.IndexEndpoint.network] is configured.
      .google.cloud.aiplatform.v1.IndexPrivateEndpoints private_endpoints = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Specified by:
      hasPrivateEndpoints in interface DeployedIndexOrBuilder
      Returns:
      Whether the privateEndpoints field is set.

    • getPrivateEndpoints

      public IndexPrivateEndpoints getPrivateEndpoints()
       Output only. Provides paths for users to send requests directly to the
 deployed index services running on Cloud via private services access. This
 field is populated if
 [network][google.cloud.aiplatform.v1.IndexEndpoint.network] is configured.
      .google.cloud.aiplatform.v1.IndexPrivateEndpoints private_endpoints = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Specified by:
      getPrivateEndpoints in interface DeployedIndexOrBuilder
      Returns:
      The privateEndpoints.

    • setPrivateEndpoints

      public DeployedIndex.Builder setPrivateEndpoints(IndexPrivateEndpoints value)
       Output only. Provides paths for users to send requests directly to the
 deployed index services running on Cloud via private services access. This
 field is populated if
 [network][google.cloud.aiplatform.v1.IndexEndpoint.network] is configured.
      .google.cloud.aiplatform.v1.IndexPrivateEndpoints private_endpoints = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];

    • setPrivateEndpoints

      public DeployedIndex.Builder setPrivateEndpoints(IndexPrivateEndpoints.Builder builderForValue)
       Output only. Provides paths for users to send requests directly to the
 deployed index services running on Cloud via private services access. This
 field is populated if
 [network][google.cloud.aiplatform.v1.IndexEndpoint.network] is configured.
      .google.cloud.aiplatform.v1.IndexPrivateEndpoints private_endpoints = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];

    • mergePrivateEndpoints

      public DeployedIndex.Builder mergePrivateEndpoints(IndexPrivateEndpoints value)
       Output only. Provides paths for users to send requests directly to the
 deployed index services running on Cloud via private services access. This
 field is populated if
 [network][google.cloud.aiplatform.v1.IndexEndpoint.network] is configured.
      .google.cloud.aiplatform.v1.IndexPrivateEndpoints private_endpoints = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];

    • clearPrivateEndpoints

      public DeployedIndex.Builder clearPrivateEndpoints()
       Output only. Provides paths for users to send requests directly to the
 deployed index services running on Cloud via private services access. This
 field is populated if
 [network][google.cloud.aiplatform.v1.IndexEndpoint.network] is configured.
      .google.cloud.aiplatform.v1.IndexPrivateEndpoints private_endpoints = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];

    • getPrivateEndpointsBuilder

      public IndexPrivateEndpoints.Builder getPrivateEndpointsBuilder()
       Output only. Provides paths for users to send requests directly to the
 deployed index services running on Cloud via private services access. This
 field is populated if
 [network][google.cloud.aiplatform.v1.IndexEndpoint.network] is configured.
      .google.cloud.aiplatform.v1.IndexPrivateEndpoints private_endpoints = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];

    • getPrivateEndpointsOrBuilder

      public IndexPrivateEndpointsOrBuilder getPrivateEndpointsOrBuilder()
       Output only. Provides paths for users to send requests directly to the
 deployed index services running on Cloud via private services access. This
 field is populated if
 [network][google.cloud.aiplatform.v1.IndexEndpoint.network] is configured.
      .google.cloud.aiplatform.v1.IndexPrivateEndpoints private_endpoints = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Specified by:
      getPrivateEndpointsOrBuilder in interface DeployedIndexOrBuilder

    • hasIndexSyncTime

      public boolean hasIndexSyncTime()
       Output only. The DeployedIndex may depend on various data on its original
 Index. Additionally when certain changes to the original Index are being
 done (e.g. when what the Index contains is being changed) the DeployedIndex
 may be asynchronously updated in the background to reflect these changes.
 If this timestamp's value is at least the
 [Index.update_time][google.cloud.aiplatform.v1.Index.update_time] of the
 original Index, it means that this DeployedIndex and the original Index are
 in sync. If this timestamp is older, then to see which updates this
 DeployedIndex already contains (and which it does not), one must
 [list][google.longrunning.Operations.ListOperations] the operations that
 are running on the original Index. Only the successfully completed
 Operations with
 [update_time][google.cloud.aiplatform.v1.GenericOperationMetadata.update_time]
 equal or before this sync time are contained in this DeployedIndex.
      .google.protobuf.Timestamp index_sync_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Specified by:
      hasIndexSyncTime in interface DeployedIndexOrBuilder
      Returns:
      Whether the indexSyncTime field is set.

    • getIndexSyncTime

      public com.google.protobuf.Timestamp getIndexSyncTime()
       Output only. The DeployedIndex may depend on various data on its original
 Index. Additionally when certain changes to the original Index are being
 done (e.g. when what the Index contains is being changed) the DeployedIndex
 may be asynchronously updated in the background to reflect these changes.
 If this timestamp's value is at least the
 [Index.update_time][google.cloud.aiplatform.v1.Index.update_time] of the
 original Index, it means that this DeployedIndex and the original Index are
 in sync. If this timestamp is older, then to see which updates this
 DeployedIndex already contains (and which it does not), one must
 [list][google.longrunning.Operations.ListOperations] the operations that
 are running on the original Index. Only the successfully completed
 Operations with
 [update_time][google.cloud.aiplatform.v1.GenericOperationMetadata.update_time]
 equal or before this sync time are contained in this DeployedIndex.
      .google.protobuf.Timestamp index_sync_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Specified by:
      getIndexSyncTime in interface DeployedIndexOrBuilder
      Returns:
      The indexSyncTime.

    • setIndexSyncTime

      public DeployedIndex.Builder setIndexSyncTime(com.google.protobuf.Timestamp value)
       Output only. The DeployedIndex may depend on various data on its original
 Index. Additionally when certain changes to the original Index are being
 done (e.g. when what the Index contains is being changed) the DeployedIndex
 may be asynchronously updated in the background to reflect these changes.
 If this timestamp's value is at least the
 [Index.update_time][google.cloud.aiplatform.v1.Index.update_time] of the
 original Index, it means that this DeployedIndex and the original Index are
 in sync. If this timestamp is older, then to see which updates this
 DeployedIndex already contains (and which it does not), one must
 [list][google.longrunning.Operations.ListOperations] the operations that
 are running on the original Index. Only the successfully completed
 Operations with
 [update_time][google.cloud.aiplatform.v1.GenericOperationMetadata.update_time]
 equal or before this sync time are contained in this DeployedIndex.
      .google.protobuf.Timestamp index_sync_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

    • setIndexSyncTime

      public DeployedIndex.Builder setIndexSyncTime(com.google.protobuf.Timestamp.Builder builderForValue)
       Output only. The DeployedIndex may depend on various data on its original
 Index. Additionally when certain changes to the original Index are being
 done (e.g. when what the Index contains is being changed) the DeployedIndex
 may be asynchronously updated in the background to reflect these changes.
 If this timestamp's value is at least the
 [Index.update_time][google.cloud.aiplatform.v1.Index.update_time] of the
 original Index, it means that this DeployedIndex and the original Index are
 in sync. If this timestamp is older, then to see which updates this
 DeployedIndex already contains (and which it does not), one must
 [list][google.longrunning.Operations.ListOperations] the operations that
 are running on the original Index. Only the successfully completed
 Operations with
 [update_time][google.cloud.aiplatform.v1.GenericOperationMetadata.update_time]
 equal or before this sync time are contained in this DeployedIndex.
      .google.protobuf.Timestamp index_sync_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

    • mergeIndexSyncTime

      public DeployedIndex.Builder mergeIndexSyncTime(com.google.protobuf.Timestamp value)
       Output only. The DeployedIndex may depend on various data on its original
 Index. Additionally when certain changes to the original Index are being
 done (e.g. when what the Index contains is being changed) the DeployedIndex
 may be asynchronously updated in the background to reflect these changes.
 If this timestamp's value is at least the
 [Index.update_time][google.cloud.aiplatform.v1.Index.update_time] of the
 original Index, it means that this DeployedIndex and the original Index are
 in sync. If this timestamp is older, then to see which updates this
 DeployedIndex already contains (and which it does not), one must
 [list][google.longrunning.Operations.ListOperations] the operations that
 are running on the original Index. Only the successfully completed
 Operations with
 [update_time][google.cloud.aiplatform.v1.GenericOperationMetadata.update_time]
 equal or before this sync time are contained in this DeployedIndex.
      .google.protobuf.Timestamp index_sync_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

    • clearIndexSyncTime

      public DeployedIndex.Builder clearIndexSyncTime()
       Output only. The DeployedIndex may depend on various data on its original
 Index. Additionally when certain changes to the original Index are being
 done (e.g. when what the Index contains is being changed) the DeployedIndex
 may be asynchronously updated in the background to reflect these changes.
 If this timestamp's value is at least the
 [Index.update_time][google.cloud.aiplatform.v1.Index.update_time] of the
 original Index, it means that this DeployedIndex and the original Index are
 in sync. If this timestamp is older, then to see which updates this
 DeployedIndex already contains (and which it does not), one must
 [list][google.longrunning.Operations.ListOperations] the operations that
 are running on the original Index. Only the successfully completed
 Operations with
 [update_time][google.cloud.aiplatform.v1.GenericOperationMetadata.update_time]
 equal or before this sync time are contained in this DeployedIndex.
      .google.protobuf.Timestamp index_sync_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

    • getIndexSyncTimeBuilder

      public com.google.protobuf.Timestamp.Builder getIndexSyncTimeBuilder()
       Output only. The DeployedIndex may depend on various data on its original
 Index. Additionally when certain changes to the original Index are being
 done (e.g. when what the Index contains is being changed) the DeployedIndex
 may be asynchronously updated in the background to reflect these changes.
 If this timestamp's value is at least the
 [Index.update_time][google.cloud.aiplatform.v1.Index.update_time] of the
 original Index, it means that this DeployedIndex and the original Index are
 in sync. If this timestamp is older, then to see which updates this
 DeployedIndex already contains (and which it does not), one must
 [list][google.longrunning.Operations.ListOperations] the operations that
 are running on the original Index. Only the successfully completed
 Operations with
 [update_time][google.cloud.aiplatform.v1.GenericOperationMetadata.update_time]
 equal or before this sync time are contained in this DeployedIndex.
      .google.protobuf.Timestamp index_sync_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

    • getIndexSyncTimeOrBuilder

      public com.google.protobuf.TimestampOrBuilder getIndexSyncTimeOrBuilder()
       Output only. The DeployedIndex may depend on various data on its original
 Index. Additionally when certain changes to the original Index are being
 done (e.g. when what the Index contains is being changed) the DeployedIndex
 may be asynchronously updated in the background to reflect these changes.
 If this timestamp's value is at least the
 [Index.update_time][google.cloud.aiplatform.v1.Index.update_time] of the
 original Index, it means that this DeployedIndex and the original Index are
 in sync. If this timestamp is older, then to see which updates this
 DeployedIndex already contains (and which it does not), one must
 [list][google.longrunning.Operations.ListOperations] the operations that
 are running on the original Index. Only the successfully completed
 Operations with
 [update_time][google.cloud.aiplatform.v1.GenericOperationMetadata.update_time]
 equal or before this sync time are contained in this DeployedIndex.
      .google.protobuf.Timestamp index_sync_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Specified by:
      getIndexSyncTimeOrBuilder in interface DeployedIndexOrBuilder

    • hasAutomaticResources

      public boolean hasAutomaticResources()
       Optional. A description of resources that the DeployedIndex uses, which to
 large degree are decided by Vertex AI, and optionally allows only a modest
 additional configuration.
 If min_replica_count is not set, the default value is 2 (we don't provide
 SLA when min_replica_count=1). If max_replica_count is not set, the
 default value is min_replica_count. The max allowed replica count is
 1000.
      .google.cloud.aiplatform.v1.AutomaticResources automatic_resources = 7 [(.google.api.field_behavior) = OPTIONAL];
      Specified by:
      hasAutomaticResources in interface DeployedIndexOrBuilder
      Returns:
      Whether the automaticResources field is set.

    • getAutomaticResources

      public AutomaticResources getAutomaticResources()
       Optional. A description of resources that the DeployedIndex uses, which to
 large degree are decided by Vertex AI, and optionally allows only a modest
 additional configuration.
 If min_replica_count is not set, the default value is 2 (we don't provide
 SLA when min_replica_count=1). If max_replica_count is not set, the
 default value is min_replica_count. The max allowed replica count is
 1000.
      .google.cloud.aiplatform.v1.AutomaticResources automatic_resources = 7 [(.google.api.field_behavior) = OPTIONAL];
      Specified by:
      getAutomaticResources in interface DeployedIndexOrBuilder
      Returns:
      The automaticResources.

    • setAutomaticResources

      public DeployedIndex.Builder setAutomaticResources(AutomaticResources value)
       Optional. A description of resources that the DeployedIndex uses, which to
 large degree are decided by Vertex AI, and optionally allows only a modest
 additional configuration.
 If min_replica_count is not set, the default value is 2 (we don't provide
 SLA when min_replica_count=1). If max_replica_count is not set, the
 default value is min_replica_count. The max allowed replica count is
 1000.
      .google.cloud.aiplatform.v1.AutomaticResources automatic_resources = 7 [(.google.api.field_behavior) = OPTIONAL];

    • setAutomaticResources

      public DeployedIndex.Builder setAutomaticResources(AutomaticResources.Builder builderForValue)
       Optional. A description of resources that the DeployedIndex uses, which to
 large degree are decided by Vertex AI, and optionally allows only a modest
 additional configuration.
 If min_replica_count is not set, the default value is 2 (we don't provide
 SLA when min_replica_count=1). If max_replica_count is not set, the
 default value is min_replica_count. The max allowed replica count is
 1000.
      .google.cloud.aiplatform.v1.AutomaticResources automatic_resources = 7 [(.google.api.field_behavior) = OPTIONAL];

    • mergeAutomaticResources

      public DeployedIndex.Builder mergeAutomaticResources(AutomaticResources value)
       Optional. A description of resources that the DeployedIndex uses, which to
 large degree are decided by Vertex AI, and optionally allows only a modest
 additional configuration.
 If min_replica_count is not set, the default value is 2 (we don't provide
 SLA when min_replica_count=1). If max_replica_count is not set, the
 default value is min_replica_count. The max allowed replica count is
 1000.
      .google.cloud.aiplatform.v1.AutomaticResources automatic_resources = 7 [(.google.api.field_behavior) = OPTIONAL];

    • clearAutomaticResources

      public DeployedIndex.Builder clearAutomaticResources()
       Optional. A description of resources that the DeployedIndex uses, which to
 large degree are decided by Vertex AI, and optionally allows only a modest
 additional configuration.
 If min_replica_count is not set, the default value is 2 (we don't provide
 SLA when min_replica_count=1). If max_replica_count is not set, the
 default value is min_replica_count. The max allowed replica count is
 1000.
      .google.cloud.aiplatform.v1.AutomaticResources automatic_resources = 7 [(.google.api.field_behavior) = OPTIONAL];

    • getAutomaticResourcesBuilder

      public AutomaticResources.Builder getAutomaticResourcesBuilder()
       Optional. A description of resources that the DeployedIndex uses, which to
 large degree are decided by Vertex AI, and optionally allows only a modest
 additional configuration.
 If min_replica_count is not set, the default value is 2 (we don't provide
 SLA when min_replica_count=1). If max_replica_count is not set, the
 default value is min_replica_count. The max allowed replica count is
 1000.
      .google.cloud.aiplatform.v1.AutomaticResources automatic_resources = 7 [(.google.api.field_behavior) = OPTIONAL];

    • getAutomaticResourcesOrBuilder

      public AutomaticResourcesOrBuilder getAutomaticResourcesOrBuilder()
       Optional. A description of resources that the DeployedIndex uses, which to
 large degree are decided by Vertex AI, and optionally allows only a modest
 additional configuration.
 If min_replica_count is not set, the default value is 2 (we don't provide
 SLA when min_replica_count=1). If max_replica_count is not set, the
 default value is min_replica_count. The max allowed replica count is
 1000.
      .google.cloud.aiplatform.v1.AutomaticResources automatic_resources = 7 [(.google.api.field_behavior) = OPTIONAL];
      Specified by:
      getAutomaticResourcesOrBuilder in interface DeployedIndexOrBuilder

    • hasDedicatedResources

      public boolean hasDedicatedResources()
       Optional. A description of resources that are dedicated to the
 DeployedIndex, and that need a higher degree of manual configuration. The
 field min_replica_count must be set to a value strictly greater than 0, or
 else validation will fail. We don't provide SLA when min_replica_count=1.
 If max_replica_count is not set, the default value is min_replica_count.
 The max allowed replica count is 1000.

 Available machine types for SMALL shard:
 e2-standard-2 and all machine types available for MEDIUM and LARGE shard.

 Available machine types for MEDIUM shard:
 e2-standard-16 and all machine types available for LARGE shard.

 Available machine types for LARGE shard:
 e2-highmem-16, n2d-standard-32.

 n1-standard-16 and n1-standard-32 are still available, but we recommend
 e2-standard-16 and e2-highmem-16 for cost efficiency.
      .google.cloud.aiplatform.v1.DedicatedResources dedicated_resources = 16 [(.google.api.field_behavior) = OPTIONAL];
      Specified by:
      hasDedicatedResources in interface DeployedIndexOrBuilder
      Returns:
      Whether the dedicatedResources field is set.

    • getDedicatedResources

      public DedicatedResources getDedicatedResources()
       Optional. A description of resources that are dedicated to the
 DeployedIndex, and that need a higher degree of manual configuration. The
 field min_replica_count must be set to a value strictly greater than 0, or
 else validation will fail. We don't provide SLA when min_replica_count=1.
 If max_replica_count is not set, the default value is min_replica_count.
 The max allowed replica count is 1000.

 Available machine types for SMALL shard:
 e2-standard-2 and all machine types available for MEDIUM and LARGE shard.

 Available machine types for MEDIUM shard:
 e2-standard-16 and all machine types available for LARGE shard.

 Available machine types for LARGE shard:
 e2-highmem-16, n2d-standard-32.

 n1-standard-16 and n1-standard-32 are still available, but we recommend
 e2-standard-16 and e2-highmem-16 for cost efficiency.
      .google.cloud.aiplatform.v1.DedicatedResources dedicated_resources = 16 [(.google.api.field_behavior) = OPTIONAL];
      Specified by:
      getDedicatedResources in interface DeployedIndexOrBuilder
      Returns:
      The dedicatedResources.

    • setDedicatedResources

      public DeployedIndex.Builder setDedicatedResources(DedicatedResources value)
       Optional. A description of resources that are dedicated to the
 DeployedIndex, and that need a higher degree of manual configuration. The
 field min_replica_count must be set to a value strictly greater than 0, or
 else validation will fail. We don't provide SLA when min_replica_count=1.
 If max_replica_count is not set, the default value is min_replica_count.
 The max allowed replica count is 1000.

 Available machine types for SMALL shard:
 e2-standard-2 and all machine types available for MEDIUM and LARGE shard.

 Available machine types for MEDIUM shard:
 e2-standard-16 and all machine types available for LARGE shard.

 Available machine types for LARGE shard:
 e2-highmem-16, n2d-standard-32.

 n1-standard-16 and n1-standard-32 are still available, but we recommend
 e2-standard-16 and e2-highmem-16 for cost efficiency.
      .google.cloud.aiplatform.v1.DedicatedResources dedicated_resources = 16 [(.google.api.field_behavior) = OPTIONAL];

    • setDedicatedResources

      public DeployedIndex.Builder setDedicatedResources(DedicatedResources.Builder builderForValue)
       Optional. A description of resources that are dedicated to the
 DeployedIndex, and that need a higher degree of manual configuration. The
 field min_replica_count must be set to a value strictly greater than 0, or
 else validation will fail. We don't provide SLA when min_replica_count=1.
 If max_replica_count is not set, the default value is min_replica_count.
 The max allowed replica count is 1000.

 Available machine types for SMALL shard:
 e2-standard-2 and all machine types available for MEDIUM and LARGE shard.

 Available machine types for MEDIUM shard:
 e2-standard-16 and all machine types available for LARGE shard.

 Available machine types for LARGE shard:
 e2-highmem-16, n2d-standard-32.

 n1-standard-16 and n1-standard-32 are still available, but we recommend
 e2-standard-16 and e2-highmem-16 for cost efficiency.
      .google.cloud.aiplatform.v1.DedicatedResources dedicated_resources = 16 [(.google.api.field_behavior) = OPTIONAL];

    • mergeDedicatedResources

      public DeployedIndex.Builder mergeDedicatedResources(DedicatedResources value)
       Optional. A description of resources that are dedicated to the
 DeployedIndex, and that need a higher degree of manual configuration. The
 field min_replica_count must be set to a value strictly greater than 0, or
 else validation will fail. We don't provide SLA when min_replica_count=1.
 If max_replica_count is not set, the default value is min_replica_count.
 The max allowed replica count is 1000.

 Available machine types for SMALL shard:
 e2-standard-2 and all machine types available for MEDIUM and LARGE shard.

 Available machine types for MEDIUM shard:
 e2-standard-16 and all machine types available for LARGE shard.

 Available machine types for LARGE shard:
 e2-highmem-16, n2d-standard-32.

 n1-standard-16 and n1-standard-32 are still available, but we recommend
 e2-standard-16 and e2-highmem-16 for cost efficiency.
      .google.cloud.aiplatform.v1.DedicatedResources dedicated_resources = 16 [(.google.api.field_behavior) = OPTIONAL];

    • clearDedicatedResources

      public DeployedIndex.Builder clearDedicatedResources()
       Optional. A description of resources that are dedicated to the
 DeployedIndex, and that need a higher degree of manual configuration. The
 field min_replica_count must be set to a value strictly greater than 0, or
 else validation will fail. We don't provide SLA when min_replica_count=1.
 If max_replica_count is not set, the default value is min_replica_count.
 The max allowed replica count is 1000.

 Available machine types for SMALL shard:
 e2-standard-2 and all machine types available for MEDIUM and LARGE shard.

 Available machine types for MEDIUM shard:
 e2-standard-16 and all machine types available for LARGE shard.

 Available machine types for LARGE shard:
 e2-highmem-16, n2d-standard-32.

 n1-standard-16 and n1-standard-32 are still available, but we recommend
 e2-standard-16 and e2-highmem-16 for cost efficiency.
      .google.cloud.aiplatform.v1.DedicatedResources dedicated_resources = 16 [(.google.api.field_behavior) = OPTIONAL];

    • getDedicatedResourcesBuilder

      public DedicatedResources.Builder getDedicatedResourcesBuilder()
       Optional. A description of resources that are dedicated to the
 DeployedIndex, and that need a higher degree of manual configuration. The
 field min_replica_count must be set to a value strictly greater than 0, or
 else validation will fail. We don't provide SLA when min_replica_count=1.
 If max_replica_count is not set, the default value is min_replica_count.
 The max allowed replica count is 1000.

 Available machine types for SMALL shard:
 e2-standard-2 and all machine types available for MEDIUM and LARGE shard.

 Available machine types for MEDIUM shard:
 e2-standard-16 and all machine types available for LARGE shard.

 Available machine types for LARGE shard:
 e2-highmem-16, n2d-standard-32.

 n1-standard-16 and n1-standard-32 are still available, but we recommend
 e2-standard-16 and e2-highmem-16 for cost efficiency.
      .google.cloud.aiplatform.v1.DedicatedResources dedicated_resources = 16 [(.google.api.field_behavior) = OPTIONAL];

    • getDedicatedResourcesOrBuilder

      public DedicatedResourcesOrBuilder getDedicatedResourcesOrBuilder()
       Optional. A description of resources that are dedicated to the
 DeployedIndex, and that need a higher degree of manual configuration. The
 field min_replica_count must be set to a value strictly greater than 0, or
 else validation will fail. We don't provide SLA when min_replica_count=1.
 If max_replica_count is not set, the default value is min_replica_count.
 The max allowed replica count is 1000.

 Available machine types for SMALL shard:
 e2-standard-2 and all machine types available for MEDIUM and LARGE shard.

 Available machine types for MEDIUM shard:
 e2-standard-16 and all machine types available for LARGE shard.

 Available machine types for LARGE shard:
 e2-highmem-16, n2d-standard-32.

 n1-standard-16 and n1-standard-32 are still available, but we recommend
 e2-standard-16 and e2-highmem-16 for cost efficiency.
      .google.cloud.aiplatform.v1.DedicatedResources dedicated_resources = 16 [(.google.api.field_behavior) = OPTIONAL];
      Specified by:
      getDedicatedResourcesOrBuilder in interface DeployedIndexOrBuilder

    • getEnableAccessLogging

      public boolean getEnableAccessLogging()
       Optional. If true, private endpoint's access logs are sent to Cloud
 Logging.

 These logs are like standard server access logs, containing
 information like timestamp and latency for each MatchRequest.

 Note that logs may incur a cost, especially if the deployed
 index receives a high queries per second rate (QPS).
 Estimate your costs before enabling this option.
      bool enable_access_logging = 8 [(.google.api.field_behavior) = OPTIONAL];
      Specified by:
      getEnableAccessLogging in interface DeployedIndexOrBuilder
      Returns:
      The enableAccessLogging.

    • setEnableAccessLogging

      public DeployedIndex.Builder setEnableAccessLogging(boolean value)
       Optional. If true, private endpoint's access logs are sent to Cloud
 Logging.

 These logs are like standard server access logs, containing
 information like timestamp and latency for each MatchRequest.

 Note that logs may incur a cost, especially if the deployed
 index receives a high queries per second rate (QPS).
 Estimate your costs before enabling this option.
      bool enable_access_logging = 8 [(.google.api.field_behavior) = OPTIONAL];
      Parameters:
      value - The enableAccessLogging to set.
      Returns:
      This builder for chaining.

    • clearEnableAccessLogging

      public DeployedIndex.Builder clearEnableAccessLogging()
       Optional. If true, private endpoint's access logs are sent to Cloud
 Logging.

 These logs are like standard server access logs, containing
 information like timestamp and latency for each MatchRequest.

 Note that logs may incur a cost, especially if the deployed
 index receives a high queries per second rate (QPS).
 Estimate your costs before enabling this option.
      bool enable_access_logging = 8 [(.google.api.field_behavior) = OPTIONAL];
      Returns:
      This builder for chaining.

    • getEnableDatapointUpsertLogging

      public boolean getEnableDatapointUpsertLogging()
       Optional. If true, logs to Cloud Logging errors relating to datapoint
 upserts.

 Under normal operation conditions, these log entries should be very rare.
 However, if incompatible datapoint updates are being uploaded to an index,
 a high volume of log entries may be generated in a short period of time.

 Note that logs may incur a cost, especially if the deployed index receives
 a high volume of datapoint upserts. Estimate your costs before enabling
 this option.
      bool enable_datapoint_upsert_logging = 20 [(.google.api.field_behavior) = OPTIONAL];
      Specified by:
      getEnableDatapointUpsertLogging in interface DeployedIndexOrBuilder
      Returns:
      The enableDatapointUpsertLogging.

    • setEnableDatapointUpsertLogging

      public DeployedIndex.Builder setEnableDatapointUpsertLogging(boolean value)
       Optional. If true, logs to Cloud Logging errors relating to datapoint
 upserts.

 Under normal operation conditions, these log entries should be very rare.
 However, if incompatible datapoint updates are being uploaded to an index,
 a high volume of log entries may be generated in a short period of time.

 Note that logs may incur a cost, especially if the deployed index receives
 a high volume of datapoint upserts. Estimate your costs before enabling
 this option.
      bool enable_datapoint_upsert_logging = 20 [(.google.api.field_behavior) = OPTIONAL];
      Parameters:
      value - The enableDatapointUpsertLogging to set.
      Returns:
      This builder for chaining.

    • clearEnableDatapointUpsertLogging

      public DeployedIndex.Builder clearEnableDatapointUpsertLogging()
       Optional. If true, logs to Cloud Logging errors relating to datapoint
 upserts.

 Under normal operation conditions, these log entries should be very rare.
 However, if incompatible datapoint updates are being uploaded to an index,
 a high volume of log entries may be generated in a short period of time.

 Note that logs may incur a cost, especially if the deployed index receives
 a high volume of datapoint upserts. Estimate your costs before enabling
 this option.
      bool enable_datapoint_upsert_logging = 20 [(.google.api.field_behavior) = OPTIONAL];
      Returns:
      This builder for chaining.

    • hasDeployedIndexAuthConfig

      public boolean hasDeployedIndexAuthConfig()
       Optional. If set, the authentication is enabled for the private endpoint.
      .google.cloud.aiplatform.v1.DeployedIndexAuthConfig deployed_index_auth_config = 9 [(.google.api.field_behavior) = OPTIONAL];
      Specified by:
      hasDeployedIndexAuthConfig in interface DeployedIndexOrBuilder
      Returns:
      Whether the deployedIndexAuthConfig field is set.

    • getDeployedIndexAuthConfig

      public DeployedIndexAuthConfig getDeployedIndexAuthConfig()
       Optional. If set, the authentication is enabled for the private endpoint.
      .google.cloud.aiplatform.v1.DeployedIndexAuthConfig deployed_index_auth_config = 9 [(.google.api.field_behavior) = OPTIONAL];
      Specified by:
      getDeployedIndexAuthConfig in interface DeployedIndexOrBuilder
      Returns:
      The deployedIndexAuthConfig.

    • setDeployedIndexAuthConfig

      public DeployedIndex.Builder setDeployedIndexAuthConfig(DeployedIndexAuthConfig value)
       Optional. If set, the authentication is enabled for the private endpoint.
      .google.cloud.aiplatform.v1.DeployedIndexAuthConfig deployed_index_auth_config = 9 [(.google.api.field_behavior) = OPTIONAL];

    • setDeployedIndexAuthConfig

      public DeployedIndex.Builder setDeployedIndexAuthConfig(DeployedIndexAuthConfig.Builder builderForValue)
       Optional. If set, the authentication is enabled for the private endpoint.
      .google.cloud.aiplatform.v1.DeployedIndexAuthConfig deployed_index_auth_config = 9 [(.google.api.field_behavior) = OPTIONAL];

    • mergeDeployedIndexAuthConfig

      public DeployedIndex.Builder mergeDeployedIndexAuthConfig(DeployedIndexAuthConfig value)
       Optional. If set, the authentication is enabled for the private endpoint.
      .google.cloud.aiplatform.v1.DeployedIndexAuthConfig deployed_index_auth_config = 9 [(.google.api.field_behavior) = OPTIONAL];

    • clearDeployedIndexAuthConfig

      public DeployedIndex.Builder clearDeployedIndexAuthConfig()
       Optional. If set, the authentication is enabled for the private endpoint.
      .google.cloud.aiplatform.v1.DeployedIndexAuthConfig deployed_index_auth_config = 9 [(.google.api.field_behavior) = OPTIONAL];

    • getDeployedIndexAuthConfigBuilder

      public DeployedIndexAuthConfig.Builder getDeployedIndexAuthConfigBuilder()
       Optional. If set, the authentication is enabled for the private endpoint.
      .google.cloud.aiplatform.v1.DeployedIndexAuthConfig deployed_index_auth_config = 9 [(.google.api.field_behavior) = OPTIONAL];

    • getDeployedIndexAuthConfigOrBuilder

      public DeployedIndexAuthConfigOrBuilder getDeployedIndexAuthConfigOrBuilder()
       Optional. If set, the authentication is enabled for the private endpoint.
      .google.cloud.aiplatform.v1.DeployedIndexAuthConfig deployed_index_auth_config = 9 [(.google.api.field_behavior) = OPTIONAL];
      Specified by:
      getDeployedIndexAuthConfigOrBuilder in interface DeployedIndexOrBuilder

    • getReservedIpRangesList

      public com.google.protobuf.ProtocolStringList getReservedIpRangesList()
       Optional. A list of reserved ip ranges under the VPC network that can be
 used for this DeployedIndex.

 If set, we will deploy the index within the provided ip ranges. Otherwise,
 the index might be deployed to any ip ranges under the provided VPC
 network.

 The value should be the name of the address
 (https://cloud.google.com/compute/docs/reference/rest/v1/addresses)
 Example: ['vertex-ai-ip-range'].

 For more information about subnets and network IP ranges, please see
 https://cloud.google.com/vpc/docs/subnets#manually_created_subnet_ip_ranges.
      repeated string reserved_ip_ranges = 10 [(.google.api.field_behavior) = OPTIONAL];
      Specified by:
      getReservedIpRangesList in interface DeployedIndexOrBuilder
      Returns:
      A list containing the reservedIpRanges.

    • getReservedIpRangesCount

      public int getReservedIpRangesCount()
       Optional. A list of reserved ip ranges under the VPC network that can be
 used for this DeployedIndex.

 If set, we will deploy the index within the provided ip ranges. Otherwise,
 the index might be deployed to any ip ranges under the provided VPC
 network.

 The value should be the name of the address
 (https://cloud.google.com/compute/docs/reference/rest/v1/addresses)
 Example: ['vertex-ai-ip-range'].

 For more information about subnets and network IP ranges, please see
 https://cloud.google.com/vpc/docs/subnets#manually_created_subnet_ip_ranges.
      repeated string reserved_ip_ranges = 10 [(.google.api.field_behavior) = OPTIONAL];
      Specified by:
      getReservedIpRangesCount in interface DeployedIndexOrBuilder
      Returns:
      The count of reservedIpRanges.

    • getReservedIpRanges

      public String getReservedIpRanges(int index)
       Optional. A list of reserved ip ranges under the VPC network that can be
 used for this DeployedIndex.

 If set, we will deploy the index within the provided ip ranges. Otherwise,
 the index might be deployed to any ip ranges under the provided VPC
 network.

 The value should be the name of the address
 (https://cloud.google.com/compute/docs/reference/rest/v1/addresses)
 Example: ['vertex-ai-ip-range'].

 For more information about subnets and network IP ranges, please see
 https://cloud.google.com/vpc/docs/subnets#manually_created_subnet_ip_ranges.
      repeated string reserved_ip_ranges = 10 [(.google.api.field_behavior) = OPTIONAL];
      Specified by:
      getReservedIpRanges in interface DeployedIndexOrBuilder
      Parameters:
      index - The index of the element to return.
      Returns:
      The reservedIpRanges at the given index.

    • getReservedIpRangesBytes

      public com.google.protobuf.ByteString getReservedIpRangesBytes(int index)
       Optional. A list of reserved ip ranges under the VPC network that can be
 used for this DeployedIndex.

 If set, we will deploy the index within the provided ip ranges. Otherwise,
 the index might be deployed to any ip ranges under the provided VPC
 network.

 The value should be the name of the address
 (https://cloud.google.com/compute/docs/reference/rest/v1/addresses)
 Example: ['vertex-ai-ip-range'].

 For more information about subnets and network IP ranges, please see
 https://cloud.google.com/vpc/docs/subnets#manually_created_subnet_ip_ranges.
      repeated string reserved_ip_ranges = 10 [(.google.api.field_behavior) = OPTIONAL];
      Specified by:
      getReservedIpRangesBytes in interface DeployedIndexOrBuilder
      Parameters:
      index - The index of the value to return.
      Returns:
      The bytes of the reservedIpRanges at the given index.

    • setReservedIpRanges

      public DeployedIndex.Builder setReservedIpRanges(int index, String value)
       Optional. A list of reserved ip ranges under the VPC network that can be
 used for this DeployedIndex.

 If set, we will deploy the index within the provided ip ranges. Otherwise,
 the index might be deployed to any ip ranges under the provided VPC
 network.

 The value should be the name of the address
 (https://cloud.google.com/compute/docs/reference/rest/v1/addresses)
 Example: ['vertex-ai-ip-range'].

 For more information about subnets and network IP ranges, please see
 https://cloud.google.com/vpc/docs/subnets#manually_created_subnet_ip_ranges.
      repeated string reserved_ip_ranges = 10 [(.google.api.field_behavior) = OPTIONAL];
      Parameters:
      index - The index to set the value at.
      value - The reservedIpRanges to set.
      Returns:
      This builder for chaining.

    • addReservedIpRanges

      public DeployedIndex.Builder addReservedIpRanges(String value)
       Optional. A list of reserved ip ranges under the VPC network that can be
 used for this DeployedIndex.

 If set, we will deploy the index within the provided ip ranges. Otherwise,
 the index might be deployed to any ip ranges under the provided VPC
 network.

 The value should be the name of the address
 (https://cloud.google.com/compute/docs/reference/rest/v1/addresses)
 Example: ['vertex-ai-ip-range'].

 For more information about subnets and network IP ranges, please see
 https://cloud.google.com/vpc/docs/subnets#manually_created_subnet_ip_ranges.
      repeated string reserved_ip_ranges = 10 [(.google.api.field_behavior) = OPTIONAL];
      Parameters:
      value - The reservedIpRanges to add.
      Returns:
      This builder for chaining.

    • addAllReservedIpRanges

      public DeployedIndex.Builder addAllReservedIpRanges(Iterable<String> values)
       Optional. A list of reserved ip ranges under the VPC network that can be
 used for this DeployedIndex.

 If set, we will deploy the index within the provided ip ranges. Otherwise,
 the index might be deployed to any ip ranges under the provided VPC
 network.

 The value should be the name of the address
 (https://cloud.google.com/compute/docs/reference/rest/v1/addresses)
 Example: ['vertex-ai-ip-range'].

 For more information about subnets and network IP ranges, please see
 https://cloud.google.com/vpc/docs/subnets#manually_created_subnet_ip_ranges.
      repeated string reserved_ip_ranges = 10 [(.google.api.field_behavior) = OPTIONAL];
      Parameters:
      values - The reservedIpRanges to add.
      Returns:
      This builder for chaining.

    • clearReservedIpRanges

      public DeployedIndex.Builder clearReservedIpRanges()
       Optional. A list of reserved ip ranges under the VPC network that can be
 used for this DeployedIndex.

 If set, we will deploy the index within the provided ip ranges. Otherwise,
 the index might be deployed to any ip ranges under the provided VPC
 network.

 The value should be the name of the address
 (https://cloud.google.com/compute/docs/reference/rest/v1/addresses)
 Example: ['vertex-ai-ip-range'].

 For more information about subnets and network IP ranges, please see
 https://cloud.google.com/vpc/docs/subnets#manually_created_subnet_ip_ranges.
      repeated string reserved_ip_ranges = 10 [(.google.api.field_behavior) = OPTIONAL];
      Returns:
      This builder for chaining.

    • addReservedIpRangesBytes

      public DeployedIndex.Builder addReservedIpRangesBytes(com.google.protobuf.ByteString value)
       Optional. A list of reserved ip ranges under the VPC network that can be
 used for this DeployedIndex.

 If set, we will deploy the index within the provided ip ranges. Otherwise,
 the index might be deployed to any ip ranges under the provided VPC
 network.

 The value should be the name of the address
 (https://cloud.google.com/compute/docs/reference/rest/v1/addresses)
 Example: ['vertex-ai-ip-range'].

 For more information about subnets and network IP ranges, please see
 https://cloud.google.com/vpc/docs/subnets#manually_created_subnet_ip_ranges.
      repeated string reserved_ip_ranges = 10 [(.google.api.field_behavior) = OPTIONAL];
      Parameters:
      value - The bytes of the reservedIpRanges to add.
      Returns:
      This builder for chaining.

    • getDeploymentGroup

      public String getDeploymentGroup()
       Optional. The deployment group can be no longer than 64 characters (eg:
 'test', 'prod'). If not set, we will use the 'default' deployment group.

 Creating `deployment_groups` with `reserved_ip_ranges` is a recommended
 practice when the peered network has multiple peering ranges. This creates
 your deployments from predictable IP spaces for easier traffic
 administration. Also, one deployment_group (except 'default') can only be
 used with the same reserved_ip_ranges which means if the deployment_group
 has been used with reserved_ip_ranges: [a, b, c], using it with [a, b] or
 [d, e] is disallowed.

 Note: we only support up to 5 deployment groups(not including 'default').
      string deployment_group = 11 [(.google.api.field_behavior) = OPTIONAL];
      Specified by:
      getDeploymentGroup in interface DeployedIndexOrBuilder
      Returns:
      The deploymentGroup.

    • getDeploymentGroupBytes

      public com.google.protobuf.ByteString getDeploymentGroupBytes()
       Optional. The deployment group can be no longer than 64 characters (eg:
 'test', 'prod'). If not set, we will use the 'default' deployment group.

 Creating `deployment_groups` with `reserved_ip_ranges` is a recommended
 practice when the peered network has multiple peering ranges. This creates
 your deployments from predictable IP spaces for easier traffic
 administration. Also, one deployment_group (except 'default') can only be
 used with the same reserved_ip_ranges which means if the deployment_group
 has been used with reserved_ip_ranges: [a, b, c], using it with [a, b] or
 [d, e] is disallowed.

 Note: we only support up to 5 deployment groups(not including 'default').
      string deployment_group = 11 [(.google.api.field_behavior) = OPTIONAL];
      Specified by:
      getDeploymentGroupBytes in interface DeployedIndexOrBuilder
      Returns:
      The bytes for deploymentGroup.

    • setDeploymentGroup

      public DeployedIndex.Builder setDeploymentGroup(String value)
       Optional. The deployment group can be no longer than 64 characters (eg:
 'test', 'prod'). If not set, we will use the 'default' deployment group.

 Creating `deployment_groups` with `reserved_ip_ranges` is a recommended
 practice when the peered network has multiple peering ranges. This creates
 your deployments from predictable IP spaces for easier traffic
 administration. Also, one deployment_group (except 'default') can only be
 used with the same reserved_ip_ranges which means if the deployment_group
 has been used with reserved_ip_ranges: [a, b, c], using it with [a, b] or
 [d, e] is disallowed.

 Note: we only support up to 5 deployment groups(not including 'default').
      string deployment_group = 11 [(.google.api.field_behavior) = OPTIONAL];
      Parameters:
      value - The deploymentGroup to set.
      Returns:
      This builder for chaining.

    • clearDeploymentGroup

      public DeployedIndex.Builder clearDeploymentGroup()
       Optional. The deployment group can be no longer than 64 characters (eg:
 'test', 'prod'). If not set, we will use the 'default' deployment group.

 Creating `deployment_groups` with `reserved_ip_ranges` is a recommended
 practice when the peered network has multiple peering ranges. This creates
 your deployments from predictable IP spaces for easier traffic
 administration. Also, one deployment_group (except 'default') can only be
 used with the same reserved_ip_ranges which means if the deployment_group
 has been used with reserved_ip_ranges: [a, b, c], using it with [a, b] or
 [d, e] is disallowed.

 Note: we only support up to 5 deployment groups(not including 'default').
      string deployment_group = 11 [(.google.api.field_behavior) = OPTIONAL];
      Returns:
      This builder for chaining.

    • setDeploymentGroupBytes

      public DeployedIndex.Builder setDeploymentGroupBytes(com.google.protobuf.ByteString value)
       Optional. The deployment group can be no longer than 64 characters (eg:
 'test', 'prod'). If not set, we will use the 'default' deployment group.

 Creating `deployment_groups` with `reserved_ip_ranges` is a recommended
 practice when the peered network has multiple peering ranges. This creates
 your deployments from predictable IP spaces for easier traffic
 administration. Also, one deployment_group (except 'default') can only be
 used with the same reserved_ip_ranges which means if the deployment_group
 has been used with reserved_ip_ranges: [a, b, c], using it with [a, b] or
 [d, e] is disallowed.

 Note: we only support up to 5 deployment groups(not including 'default').
      string deployment_group = 11 [(.google.api.field_behavior) = OPTIONAL];
      Parameters:
      value - The bytes for deploymentGroup to set.
      Returns:
      This builder for chaining.

    • getDeploymentTierValue

      public int getDeploymentTierValue()
       Optional. The deployment tier that the index is deployed to.
 DEPLOYMENT_TIER_UNSPECIFIED will use a system-chosen default tier.
      .google.cloud.aiplatform.v1.DeployedIndex.DeploymentTier deployment_tier = 18 [(.google.api.field_behavior) = OPTIONAL];
      Specified by:
      getDeploymentTierValue in interface DeployedIndexOrBuilder
      Returns:
      The enum numeric value on the wire for deploymentTier.

    • setDeploymentTierValue

      public DeployedIndex.Builder setDeploymentTierValue(int value)
       Optional. The deployment tier that the index is deployed to.
 DEPLOYMENT_TIER_UNSPECIFIED will use a system-chosen default tier.
      .google.cloud.aiplatform.v1.DeployedIndex.DeploymentTier deployment_tier = 18 [(.google.api.field_behavior) = OPTIONAL];
      Parameters:
      value - The enum numeric value on the wire for deploymentTier to set.
      Returns:
      This builder for chaining.

    • getDeploymentTier

      public DeployedIndex.DeploymentTier getDeploymentTier()
       Optional. The deployment tier that the index is deployed to.
 DEPLOYMENT_TIER_UNSPECIFIED will use a system-chosen default tier.
      .google.cloud.aiplatform.v1.DeployedIndex.DeploymentTier deployment_tier = 18 [(.google.api.field_behavior) = OPTIONAL];
      Specified by:
      getDeploymentTier in interface DeployedIndexOrBuilder
      Returns:
      The deploymentTier.

    • setDeploymentTier

      public DeployedIndex.Builder setDeploymentTier(DeployedIndex.DeploymentTier value)
       Optional. The deployment tier that the index is deployed to.
 DEPLOYMENT_TIER_UNSPECIFIED will use a system-chosen default tier.
      .google.cloud.aiplatform.v1.DeployedIndex.DeploymentTier deployment_tier = 18 [(.google.api.field_behavior) = OPTIONAL];
      Parameters:
      value - The deploymentTier to set.
      Returns:
      This builder for chaining.

    • clearDeploymentTier

      public DeployedIndex.Builder clearDeploymentTier()
       Optional. The deployment tier that the index is deployed to.
 DEPLOYMENT_TIER_UNSPECIFIED will use a system-chosen default tier.
      .google.cloud.aiplatform.v1.DeployedIndex.DeploymentTier deployment_tier = 18 [(.google.api.field_behavior) = OPTIONAL];
      Returns:
      This builder for chaining.

    • getPscAutomationConfigsList

      public List<PSCAutomationConfig> getPscAutomationConfigsList()
       Optional. If set for PSC deployed index, PSC connection will be
 automatically created after deployment is done and the endpoint information
 is populated in private_endpoints.psc_automated_endpoints.
      repeated .google.cloud.aiplatform.v1.PSCAutomationConfig psc_automation_configs = 19 [(.google.api.field_behavior) = OPTIONAL];
      Specified by:
      getPscAutomationConfigsList in interface DeployedIndexOrBuilder

    • getPscAutomationConfigsCount

      public int getPscAutomationConfigsCount()
       Optional. If set for PSC deployed index, PSC connection will be
 automatically created after deployment is done and the endpoint information
 is populated in private_endpoints.psc_automated_endpoints.
      repeated .google.cloud.aiplatform.v1.PSCAutomationConfig psc_automation_configs = 19 [(.google.api.field_behavior) = OPTIONAL];
      Specified by:
      getPscAutomationConfigsCount in interface DeployedIndexOrBuilder

    • getPscAutomationConfigs

      public PSCAutomationConfig getPscAutomationConfigs(int index)
       Optional. If set for PSC deployed index, PSC connection will be
 automatically created after deployment is done and the endpoint information
 is populated in private_endpoints.psc_automated_endpoints.
      repeated .google.cloud.aiplatform.v1.PSCAutomationConfig psc_automation_configs = 19 [(.google.api.field_behavior) = OPTIONAL];
      Specified by:
      getPscAutomationConfigs in interface DeployedIndexOrBuilder

    • setPscAutomationConfigs

      public DeployedIndex.Builder setPscAutomationConfigs(int index, PSCAutomationConfig value)
       Optional. If set for PSC deployed index, PSC connection will be
 automatically created after deployment is done and the endpoint information
 is populated in private_endpoints.psc_automated_endpoints.
      repeated .google.cloud.aiplatform.v1.PSCAutomationConfig psc_automation_configs = 19 [(.google.api.field_behavior) = OPTIONAL];

    • setPscAutomationConfigs

      public DeployedIndex.Builder setPscAutomationConfigs(int index, PSCAutomationConfig.Builder builderForValue)
       Optional. If set for PSC deployed index, PSC connection will be
 automatically created after deployment is done and the endpoint information
 is populated in private_endpoints.psc_automated_endpoints.
      repeated .google.cloud.aiplatform.v1.PSCAutomationConfig psc_automation_configs = 19 [(.google.api.field_behavior) = OPTIONAL];

    • addPscAutomationConfigs

      public DeployedIndex.Builder addPscAutomationConfigs(PSCAutomationConfig value)
       Optional. If set for PSC deployed index, PSC connection will be
 automatically created after deployment is done and the endpoint information
 is populated in private_endpoints.psc_automated_endpoints.
      repeated .google.cloud.aiplatform.v1.PSCAutomationConfig psc_automation_configs = 19 [(.google.api.field_behavior) = OPTIONAL];

    • addPscAutomationConfigs

      public DeployedIndex.Builder addPscAutomationConfigs(int index, PSCAutomationConfig value)
       Optional. If set for PSC deployed index, PSC connection will be
 automatically created after deployment is done and the endpoint information
 is populated in private_endpoints.psc_automated_endpoints.
      repeated .google.cloud.aiplatform.v1.PSCAutomationConfig psc_automation_configs = 19 [(.google.api.field_behavior) = OPTIONAL];

    • addPscAutomationConfigs

      public DeployedIndex.Builder addPscAutomationConfigs(PSCAutomationConfig.Builder builderForValue)
       Optional. If set for PSC deployed index, PSC connection will be
 automatically created after deployment is done and the endpoint information
 is populated in private_endpoints.psc_automated_endpoints.
      repeated .google.cloud.aiplatform.v1.PSCAutomationConfig psc_automation_configs = 19 [(.google.api.field_behavior) = OPTIONAL];

    • addPscAutomationConfigs

      public DeployedIndex.Builder addPscAutomationConfigs(int index, PSCAutomationConfig.Builder builderForValue)
       Optional. If set for PSC deployed index, PSC connection will be
 automatically created after deployment is done and the endpoint information
 is populated in private_endpoints.psc_automated_endpoints.
      repeated .google.cloud.aiplatform.v1.PSCAutomationConfig psc_automation_configs = 19 [(.google.api.field_behavior) = OPTIONAL];

    • addAllPscAutomationConfigs

      public DeployedIndex.Builder addAllPscAutomationConfigs(Iterable<? extends PSCAutomationConfig> values)
       Optional. If set for PSC deployed index, PSC connection will be
 automatically created after deployment is done and the endpoint information
 is populated in private_endpoints.psc_automated_endpoints.
      repeated .google.cloud.aiplatform.v1.PSCAutomationConfig psc_automation_configs = 19 [(.google.api.field_behavior) = OPTIONAL];

    • clearPscAutomationConfigs

      public DeployedIndex.Builder clearPscAutomationConfigs()
       Optional. If set for PSC deployed index, PSC connection will be
 automatically created after deployment is done and the endpoint information
 is populated in private_endpoints.psc_automated_endpoints.
      repeated .google.cloud.aiplatform.v1.PSCAutomationConfig psc_automation_configs = 19 [(.google.api.field_behavior) = OPTIONAL];

    • removePscAutomationConfigs

      public DeployedIndex.Builder removePscAutomationConfigs(int index)
       Optional. If set for PSC deployed index, PSC connection will be
 automatically created after deployment is done and the endpoint information
 is populated in private_endpoints.psc_automated_endpoints.
      repeated .google.cloud.aiplatform.v1.PSCAutomationConfig psc_automation_configs = 19 [(.google.api.field_behavior) = OPTIONAL];

    • getPscAutomationConfigsBuilder

      public PSCAutomationConfig.Builder getPscAutomationConfigsBuilder(int index)
       Optional. If set for PSC deployed index, PSC connection will be
 automatically created after deployment is done and the endpoint information
 is populated in private_endpoints.psc_automated_endpoints.
      repeated .google.cloud.aiplatform.v1.PSCAutomationConfig psc_automation_configs = 19 [(.google.api.field_behavior) = OPTIONAL];

    • getPscAutomationConfigsOrBuilder

      public PSCAutomationConfigOrBuilder getPscAutomationConfigsOrBuilder(int index)
       Optional. If set for PSC deployed index, PSC connection will be
 automatically created after deployment is done and the endpoint information
 is populated in private_endpoints.psc_automated_endpoints.
      repeated .google.cloud.aiplatform.v1.PSCAutomationConfig psc_automation_configs = 19 [(.google.api.field_behavior) = OPTIONAL];
      Specified by:
      getPscAutomationConfigsOrBuilder in interface DeployedIndexOrBuilder

    • getPscAutomationConfigsOrBuilderList

      public List<? extends PSCAutomationConfigOrBuilder> getPscAutomationConfigsOrBuilderList()
       Optional. If set for PSC deployed index, PSC connection will be
 automatically created after deployment is done and the endpoint information
 is populated in private_endpoints.psc_automated_endpoints.
      repeated .google.cloud.aiplatform.v1.PSCAutomationConfig psc_automation_configs = 19 [(.google.api.field_behavior) = OPTIONAL];
      Specified by:
      getPscAutomationConfigsOrBuilderList in interface DeployedIndexOrBuilder

    • addPscAutomationConfigsBuilder

      public PSCAutomationConfig.Builder addPscAutomationConfigsBuilder()
       Optional. If set for PSC deployed index, PSC connection will be
 automatically created after deployment is done and the endpoint information
 is populated in private_endpoints.psc_automated_endpoints.
      repeated .google.cloud.aiplatform.v1.PSCAutomationConfig psc_automation_configs = 19 [(.google.api.field_behavior) = OPTIONAL];

    • addPscAutomationConfigsBuilder

      public PSCAutomationConfig.Builder addPscAutomationConfigsBuilder(int index)
       Optional. If set for PSC deployed index, PSC connection will be
 automatically created after deployment is done and the endpoint information
 is populated in private_endpoints.psc_automated_endpoints.
      repeated .google.cloud.aiplatform.v1.PSCAutomationConfig psc_automation_configs = 19 [(.google.api.field_behavior) = OPTIONAL];

    • getPscAutomationConfigsBuilderList

      public List<PSCAutomationConfig.Builder> getPscAutomationConfigsBuilderList()
       Optional. If set for PSC deployed index, PSC connection will be
 automatically created after deployment is done and the endpoint information
 is populated in private_endpoints.psc_automated_endpoints.
      repeated .google.cloud.aiplatform.v1.PSCAutomationConfig psc_automation_configs = 19 [(.google.api.field_behavior) = OPTIONAL];