Index (java-client 0.3.1 API)

A B C D E F G H I K M N P R S T U V W

A

AbstractGetFeaturesRequest - Class in ai.tecton.client.request: Parent class for GetFeaturesRequest and GetFeaturesBatchRequest and extends AbstractTectonRequest
AbstractTectonRequest - Class in ai.tecton.client.request: An abstract parent class for Tecton FeatureService API Request subclasses
AbstractTectonRequest(String, TectonHttpClient.HttpMethod, String, String) - Constructor for class ai.tecton.client.request.AbstractTectonRequest: Parent class constructor that configures the request endpoint, request method, workspaceName and featureServiceName
addJoinKey(String, String) - Method in class ai.tecton.client.request.GetFeaturesRequestData: Add a String join key value to the joinKeyMap
addJoinKey(String, Long) - Method in class ai.tecton.client.request.GetFeaturesRequestData: Add an int64 join key value to the joinKeyMap
addJoinKeyMap(Map<String, String>) - Method in class ai.tecton.client.request.GetFeaturesRequestData: Setter method for joinKeyMap
addRequestContext(String, String) - Method in class ai.tecton.client.request.GetFeaturesRequestData: Add a String request context value to the requestContextMap
addRequestContext(String, Long) - Method in class ai.tecton.client.request.GetFeaturesRequestData: Add an int64 request context value to the requestContextMap
addRequestContext(String, Double) - Method in class ai.tecton.client.request.GetFeaturesRequestData: Add a Double request context value to the requestContextMap
addRequestContextMap(Map<String, Object>) - Method in class ai.tecton.client.request.GetFeaturesRequestData: Setter method for requestContextMap
addRequestData(GetFeaturesRequestData) - Method in class ai.tecton.client.request.GetFeaturesBatchRequest.Builder: Adds a single GetFeaturesRequestData object to the List
ai.tecton.client - package ai.tecton.client
ai.tecton.client.exceptions - package ai.tecton.client.exceptions: This package contains exception classes with error messages for Tecton Client
ai.tecton.client.model - package ai.tecton.client.model: This package contains classes modeling the various types representing the results from the FeatureService API
ai.tecton.client.request - package ai.tecton.client.request: This package contains classes modeling the different requests to the FeatureService API
ai.tecton.client.response - package ai.tecton.client.response: This package contains classes representing the high-level responses from FeatureService API
ai.tecton.client.transport - package ai.tecton.client.transport: This package contains implementation of an HTTP Client using OkHttp library from Square.
ALL_METADATA_OPTIONS - Static variable in class ai.tecton.client.request.RequestConstants: The set of all MetadataOption for a GetFeaturesRequest and a GetFeaturesBatchRequest

B

booleanValue() - Method in class ai.tecton.client.model.FeatureValue: A Feature Value of type Boolean
build() - Method in class ai.tecton.client.model.SloInformation.Builder
build() - Method in class ai.tecton.client.request.GetFeaturesBatchRequest.Builder: Returns an instance of GetFeaturesBatchRequest created from the fields set on this builder
build() - Method in class ai.tecton.client.TectonClientOptions.Builder
Builder() - Constructor for class ai.tecton.client.model.SloInformation.Builder
Builder() - Constructor for class ai.tecton.client.request.GetFeaturesBatchRequest.Builder: Constructs an empty Builder
Builder() - Constructor for class ai.tecton.client.TectonClientOptions.Builder
buildRequestWithDefaultHeaders(HttpRequest) - Method in class ai.tecton.client.transport.TectonHttpClient

C

CALL_FAILURE - Static variable in class ai.tecton.client.exceptions.TectonErrorMessage
close() - Method in class ai.tecton.client.TectonClient: Releases all resources (connection pool, threads) held by the Tecton Client.
close() - Method in class ai.tecton.client.transport.TectonHttpClient
connectTimeout(Duration) - Method in class ai.tecton.client.TectonClientOptions.Builder: Setter for the connectTimeout value for new connections.

D

DEFAULT_METADATA_OPTIONS - Static variable in class ai.tecton.client.request.RequestConstants: The default set of MetadataOptions for a GetFeaturesRequest and a GetFeaturesBatchRequest, includes MetadataOption.NAME and MetadataOption.DATA_TYPE
DEFAULT_MICRO_BATCH_SIZE - Static variable in class ai.tecton.client.request.RequestConstants: The default microBatchSize for a GetFeaturesBatchRequest, set to 1

E

EMPTY_FEATURE_VECTOR - Static variable in class ai.tecton.client.exceptions.TectonErrorMessage
EMPTY_REQUEST_MAPS - Static variable in class ai.tecton.client.exceptions.TectonErrorMessage
EMPTY_RESPONSE - Static variable in class ai.tecton.client.exceptions.TectonErrorMessage
ERROR_RESPONSE - Static variable in class ai.tecton.client.exceptions.TectonErrorMessage

F

FeatureServiceMetadata - Class in ai.tecton.client.model: Class that encapsulates metadata for a FeatureService, including the schema for join keys and request context in GetFeaturesRequestData, as well as the in-order output schema of feature values in GetFeaturesResponse.
FeatureServiceMetadata(List<NameAndType>, List<NameAndType>, List<NameAndType>) - Constructor for class ai.tecton.client.model.FeatureServiceMetadata
featureServiceName(String) - Method in class ai.tecton.client.request.GetFeaturesBatchRequest.Builder: Setter for featureServiceName
FeatureStatus - Enum in ai.tecton.client.model: Enum that represents the different feature statuses that can be returned when requesting feature values.
FeatureValue - Class in ai.tecton.client.model: Class that represents each feature value in the feature vector returned in the GetFeaturesResponse
FeatureValue(Object, String, ValueType, Optional<ValueType>, String, Optional<FeatureStatus>) - Constructor for class ai.tecton.client.model.FeatureValue
float32ArrayValue() - Method in class ai.tecton.client.model.FeatureValue: A Feature Value of type ARRAY with FLOAT32 values
float64ArrayValue() - Method in class ai.tecton.client.model.FeatureValue: A Feature Value of type ARRAY with FLOAT64 values
float64Value() - Method in class ai.tecton.client.model.FeatureValue: A Feature Value of type Float64 (Double)
fromString(String) - Static method in enum ai.tecton.client.model.FeatureStatus: Returns the Status that matches the String representation passed as a parameter
fromString(String) - Static method in enum ai.tecton.client.model.ValueType: Returns the ValueType that matches the String representation passed as a parameter

G

getBatchResponseList() - Method in class ai.tecton.client.response.GetFeaturesBatchResponse: Returns a list of GetFeaturesResponse objects, each encapsulating a feature vector and its metadata
getBatchSloInformation() - Method in class ai.tecton.client.response.GetFeaturesBatchResponse: Returns an SloInformation object wrapped in Optional if present in the response received from the HTTP API, Optional.empty() otherwise
getConnectTimeout() - Method in class ai.tecton.client.TectonClientOptions: Returns the connectTimeout configuration for the client
getDataType() - Method in class ai.tecton.client.model.NameAndType: Returns the Tecton data type as a ValueType
getEffectiveTime() - Method in class ai.tecton.client.model.FeatureValue: Returns the effective serving time for this feature.
getEndpoint() - Method in class ai.tecton.client.request.AbstractTectonRequest: Returns the endpoint for request type.
getEndpoint() - Method in class ai.tecton.client.request.GetFeaturesBatchRequest
getFeatureName() - Method in class ai.tecton.client.model.FeatureValue: Returns the feature service name
getFeatureNamespace() - Method in class ai.tecton.client.model.FeatureValue: Returns the feature service namespace
getFeatures(GetFeaturesRequest) - Method in class ai.tecton.client.TectonClient: Makes a request to the /get-features endpoint and returns the response in the form of a GetFeaturesResponse object
getFeaturesBatch(GetFeaturesBatchRequest) - Method in class ai.tecton.client.TectonClient: Makes a batch request to retrieve a list of feature vector and metadata for a given workspace and feature service
GetFeaturesBatchRequest - Class in ai.tecton.client.request: A class that represents a batch request to retrieve a list of feature vectors from the feature server, for a given workspaceName and featureServiceName.
GetFeaturesBatchRequest(String, String, List<GetFeaturesRequestData>) - Constructor for class ai.tecton.client.request.GetFeaturesBatchRequest: Constructor that creates a new GetFeaturesBatchRequest with the specified parameters.
GetFeaturesBatchRequest(String, String, List<GetFeaturesRequestData>, Set<MetadataOption>) - Constructor for class ai.tecton.client.request.GetFeaturesBatchRequest: Constructor that creates a new GetFeaturesBatchRequest with the specified parameters.
GetFeaturesBatchRequest(String, String, List<GetFeaturesRequestData>, Set<MetadataOption>, int) - Constructor for class ai.tecton.client.request.GetFeaturesBatchRequest: Constructor that creates a new GetFeaturesBatchRequest with the specified parameters.
GetFeaturesBatchRequest(String, String, List<GetFeaturesRequestData>, Set<MetadataOption>, int, Duration) - Constructor for class ai.tecton.client.request.GetFeaturesBatchRequest: Constructor that creates a new GetFeaturesBatchRequest with the specified parameters
GetFeaturesBatchRequest.Builder - Class in ai.tecton.client.request: A Builder class for building instances of GetFeaturesBatchRequest objects from values configured by setters
GetFeaturesBatchResponse - Class in ai.tecton.client.response: A class that represents the response from the HTTP API for when fetching batch features.
GetFeaturesBatchResponse(List<HttpResponse>, Duration, int) - Constructor for class ai.tecton.client.response.GetFeaturesBatchResponse
getFeatureServiceMetadata() - Method in class ai.tecton.client.response.GetFeatureServiceMetadataResponse: Returns a FeatureServiceMetadata object that represents the metadata returned
getFeatureServiceMetadata(GetFeatureServiceMetadataRequest) - Method in class ai.tecton.client.TectonClient: Makes a request to the /metadata endpoint and returns the response in the form of a GetFeatureServiceMetadataResponse object
GetFeatureServiceMetadataRequest - Class in ai.tecton.client.request: A subclass of AbstractTectonRequest that represents a request to the feature-service/metadata endpoint to retrieve metadata about a FeatureService, including the schema for join keys and request context, and the in-order output schema of returned feature values.
GetFeatureServiceMetadataRequest(String, String) - Constructor for class ai.tecton.client.request.GetFeatureServiceMetadataRequest: Constructor that creates a new GetFeatureServiceMetadataRequest with the specified workspaceName and featureServiceName
GetFeatureServiceMetadataRequest(String) - Constructor for class ai.tecton.client.request.GetFeatureServiceMetadataRequest: Constructor that creates a new GetFeatureServiceMetadataRequest with default workspaceName "prod" and featureServiceName provided.
GetFeatureServiceMetadataResponse - Class in ai.tecton.client.response: A class that represents the response from the HTTP API for a call to the /metadata endpoint.
GetFeatureServiceMetadataResponse(String, Duration) - Constructor for class ai.tecton.client.response.GetFeatureServiceMetadataResponse
getFeatureServiceName() - Method in class ai.tecton.client.request.AbstractTectonRequest: Returns the featureServiceName set for the request
GetFeaturesRequest - Class in ai.tecton.client.request: A subclass of AbstractTectonRequest that represents a request to the /get-features endpoint to retrieve feature values from Tecton's online store
GetFeaturesRequest(String, String, GetFeaturesRequestData) - Constructor for class ai.tecton.client.request.GetFeaturesRequest: Constructor that creates a new GetFeaturesRequest with specified parameters.
GetFeaturesRequest(String, String, GetFeaturesRequestData, Set<MetadataOption>) - Constructor for class ai.tecton.client.request.GetFeaturesRequest: Constructor that creates a new GetFeaturesRequest with the specified parameters
GetFeaturesRequestData - Class in ai.tecton.client.request: Class that represents the map parameters passed to a GetFeaturesRequest
GetFeaturesRequestData() - Constructor for class ai.tecton.client.request.GetFeaturesRequestData: Constructor that creates a new GetFeaturesRequestData object with an empty joinKeyMap and requestContextMap
GetFeaturesResponse - Class in ai.tecton.client.response: A class that represents the response from the HTTP API for a call to the /get-features endpoint.
GetFeaturesResponse(String, Duration) - Constructor for class ai.tecton.client.response.GetFeaturesResponse
getFeatureStatus() - Method in class ai.tecton.client.model.FeatureValue: Returns the feature status of the feature value.
getFeatureValues() - Method in class ai.tecton.client.model.FeatureServiceMetadata: Get metadata for feature values to be returned in the GetFeaturesResponse.
getFeatureValues() - Method in class ai.tecton.client.response.GetFeaturesResponse: Returns the feature vector as a List of FeatureValue objects
getFeatureValuesAsMap() - Method in class ai.tecton.client.model.FeatureServiceMetadata: Returns the feature metadata as a Map with the (featureNamespace.featureName) as the key
getFeatureValuesAsMap() - Method in class ai.tecton.client.response.GetFeaturesResponse: Returns the feature vector as a Map, with the feature name as the key
getInputJoinKeys() - Method in class ai.tecton.client.model.FeatureServiceMetadata: Get the input join keys that are expected to be passed in the joinKeyMap parameter for a GetFeaturesRequest for the feature service
getInputJoinKeysAsMap() - Method in class ai.tecton.client.model.FeatureServiceMetadata: Returns the input join keys as a Map with the join key name as the key
getInputRequestContextKeys() - Method in class ai.tecton.client.model.FeatureServiceMetadata: Get the request context keys that are expected to be passed in the requestContextMap parameter for a GetFeaturesRequest for the feature service
getInputRequestContextKeysAsMap() - Method in class ai.tecton.client.model.FeatureServiceMetadata: Returns the request context keys as a Map with the request context name as the key
getJsonName() - Method in enum ai.tecton.client.model.MetadataOption
getKeepAliveDuration() - Method in class ai.tecton.client.TectonClientOptions: Returns the keepAliveDuration configuration for the client's ConnectionPool
getListElementType() - Method in class ai.tecton.client.model.FeatureValue: Returns the individual array element type if the feature valueType is ARRAY.
getListElementType() - Method in class ai.tecton.client.model.NameAndType: Returns the array element type if present, Optional.empty() otherwise
getMaxIdleConnections() - Method in class ai.tecton.client.TectonClientOptions: Returns the maxIdleConnections configuration for the client's ConnectionPool
getMaxParallelRequests() - Method in class ai.tecton.client.TectonClientOptions: Returns the maxParallelRequests configuration for the client
getMessage() - Method in class ai.tecton.client.transport.HttpResponse
getMethod() - Method in class ai.tecton.client.request.AbstractTectonRequest: Returns the Http Method used by the request type.
getMethod() - Method in class ai.tecton.client.request.GetFeaturesBatchRequest
getMicroBatchSize() - Method in class ai.tecton.client.request.GetFeaturesBatchRequest: Getter for microBatchSize
getName() - Method in class ai.tecton.client.model.NameAndType: Returns the name
getReadTimeout() - Method in class ai.tecton.client.TectonClientOptions: Returns the readTimeout configuration for the client
getRequestDuration() - Method in class ai.tecton.client.transport.HttpResponse
getRequestLatency() - Method in class ai.tecton.client.response.GetFeaturesBatchResponse: Returns the response time (network latency + online store latency) as provided by the underlying Http Client
getRequestList() - Method in class ai.tecton.client.request.GetFeaturesBatchRequest: Return Batch Request List
getResponseBody() - Method in class ai.tecton.client.transport.HttpResponse
getResponseCode() - Method in class ai.tecton.client.transport.HttpResponse
getServerTimeSeconds() - Method in class ai.tecton.client.model.SloInformation: This includes the total time spent in the feature server including online transforms and store latency
getSloIneligibilityReasons() - Method in class ai.tecton.client.model.SloInformation: Reasons for the response not being eligible for SLO.
getSloInformation() - Method in class ai.tecton.client.response.GetFeaturesResponse: Returns an SloInformation objected wrapped in Optional if present in the response received from the HTTP API, Optional.empty() otherwise
getSloServerTimeSeconds() - Method in class ai.tecton.client.model.SloInformation: The server time minus any time spent waiting on line transforms to finish after all table transforms have finished.
getStoreMaxLatency() - Method in class ai.tecton.client.model.SloInformation: Max latency observed by the request from the store in seconds
getStoreResponseSizeBytes() - Method in class ai.tecton.client.model.SloInformation: Total store response size bytes
getTimeout() - Method in class ai.tecton.client.request.GetFeaturesBatchRequest: Getter for timeout
getValueType() - Method in class ai.tecton.client.model.FeatureValue: Returns the ValueType representing the Tecton data_type for the feature value.
getWorkspaceName() - Method in class ai.tecton.client.request.AbstractTectonRequest: Returns the workspaceName set for the request

H

HttpResponse - Class in ai.tecton.client.transport

I

int64ArrayValue() - Method in class ai.tecton.client.model.FeatureValue: A Feature Value of type ARRAY with INT64 values
int64value() - Method in class ai.tecton.client.model.FeatureValue: A Feature Value of type int64 (Long)
INVALID_FEATURESERVICENAME - Static variable in class ai.tecton.client.exceptions.TectonErrorMessage
INVALID_GET_FEATURE_BATCH_REQUEST - Static variable in class ai.tecton.client.exceptions.TectonErrorMessage
INVALID_GET_FEATURE_REQUEST - Static variable in class ai.tecton.client.exceptions.TectonErrorMessage
INVALID_GET_SERVICE_METADATA_REQUEST - Static variable in class ai.tecton.client.exceptions.TectonErrorMessage
INVALID_KEY - Static variable in class ai.tecton.client.exceptions.TectonErrorMessage
INVALID_KEY_VALUE - Static variable in class ai.tecton.client.exceptions.TectonErrorMessage
INVALID_MICRO_BATCH_SIZE - Static variable in class ai.tecton.client.exceptions.TectonErrorMessage
INVALID_REQUEST_DATA_LIST - Static variable in class ai.tecton.client.exceptions.TectonErrorMessage
INVALID_RESPONSE_FORMAT - Static variable in class ai.tecton.client.exceptions.TectonErrorMessage
INVALID_URL - Static variable in class ai.tecton.client.exceptions.TectonErrorMessage
INVALID_WORKSPACENAME - Static variable in class ai.tecton.client.exceptions.TectonErrorMessage
isClosed() - Method in class ai.tecton.client.TectonClient: Returns true if the Tecton Client has been closed, false otherwise
isClosed() - Method in class ai.tecton.client.transport.TectonHttpClient
isSloEligible(boolean) - Method in class ai.tecton.client.model.SloInformation.Builder
isSloEligible() - Method in class ai.tecton.client.model.SloInformation: Returns true if the response was eligible for SLO, false otherwise.
isSuccessful() - Method in class ai.tecton.client.transport.HttpResponse

K

keepAliveDuration(Duration) - Method in class ai.tecton.client.TectonClientOptions.Builder: Setter for the time to keep an idle connection alive in the pool before closing it

M

MAX_MICRO_BATCH_SIZE - Static variable in class ai.tecton.client.request.RequestConstants: The maximum microBatchSize supported by Tecton for a GetFeaturesBatchRequest, set to 5
maxIdleConnections(int) - Method in class ai.tecton.client.TectonClientOptions.Builder: Setter for the maximum number of idle connections to keep in the pool.
maxParallelRequests(int) - Method in class ai.tecton.client.TectonClientOptions.Builder: Setter for the maximum number of requests to execute concurrently.
MetadataOption - Enum in ai.tecton.client.model: Enum representing options for different metadata information that can be requested from the FeatureService API
metadataOptions(Set<MetadataOption>) - Method in class ai.tecton.client.request.GetFeaturesBatchRequest.Builder: Setter for MetadataOption
microBatchSize(int) - Method in class ai.tecton.client.request.GetFeaturesBatchRequest.Builder: Setter for microBatchSize
MISMATCHED_TYPE - Static variable in class ai.tecton.client.exceptions.TectonErrorMessage
MISSING_EXPECTED_METADATA - Static variable in class ai.tecton.client.exceptions.TectonErrorMessage

N

NameAndType - Class in ai.tecton.client.model: Class that represents the return types for parameters of FeatureServiceMetadata
NameAndType(String, ValueType) - Constructor for class ai.tecton.client.model.NameAndType: Constructor that creates a NameAndType with specified name and dataType
NameAndType(String, ValueType, ValueType) - Constructor for class ai.tecton.client.model.NameAndType: Constructor that creates a NameAndType with specified name, dataType and listElementType
NONE_METADATA_OPTIONS - Static variable in class ai.tecton.client.request.RequestConstants: An empty set representing None MetadataOptions for a GetFeaturesRequest and a GetFeaturesBatchRequest
NONE_TIMEOUT - Static variable in class ai.tecton.client.request.RequestConstants: The default parameter for None timeout for a GetFeaturesBatchRequest

P

performParallelRequests(String, TectonHttpClient.HttpMethod, List<String>, Duration) - Method in class ai.tecton.client.transport.TectonHttpClient
performRequest(String, TectonHttpClient.HttpMethod, String) - Method in class ai.tecton.client.transport.TectonHttpClient

R

readTimeout(Duration) - Method in class ai.tecton.client.TectonClientOptions.Builder: Setter for the readTimeout value for new connections.
RequestConstants - Class in ai.tecton.client.request: Class that provides static constants that can be used as default parameters to various Request objects
RequestConstants() - Constructor for class ai.tecton.client.request.RequestConstants
requestDataList(List<GetFeaturesRequestData>) - Method in class ai.tecton.client.request.GetFeaturesBatchRequest.Builder: Setter for a List of GetFeaturesRequestData
requestToJson() - Method in class ai.tecton.client.request.AbstractTectonRequest
requestToJson() - Method in class ai.tecton.client.request.GetFeatureServiceMetadataRequest
requestToJson() - Method in class ai.tecton.client.request.GetFeaturesRequest

S

serverTimeSeconds(Double) - Method in class ai.tecton.client.model.SloInformation.Builder
sloIneligibilityReasons(Set<SloInformation.SloIneligibilityReason>) - Method in class ai.tecton.client.model.SloInformation.Builder
SloInformation - Class in ai.tecton.client.model: Class that represents SLO Info provided by Tecton when serving feature values.
SloInformation(Boolean, Double, Double, Integer, Set<SloInformation.SloIneligibilityReason>, Double) - Constructor for class ai.tecton.client.model.SloInformation
SloInformation.Builder - Class in ai.tecton.client.model
SloInformation.SloIneligibilityReason - Enum in ai.tecton.client.model: Reasons due to which the Feature Serving Response can be ineligible for SLO
sloServerTimeSeconds(Double) - Method in class ai.tecton.client.model.SloInformation.Builder
storeMaxLatency(Double) - Method in class ai.tecton.client.model.SloInformation.Builder
storeResponseSizeBytes(Integer) - Method in class ai.tecton.client.model.SloInformation.Builder
stringArrayValue() - Method in class ai.tecton.client.model.FeatureValue: A Feature Value of type ARRAY with String values
stringValue() - Method in class ai.tecton.client.model.FeatureValue: A Feature Value of type String

T

TectonClient - Class in ai.tecton.client: A client for interacting with the Tecton FeatureService API.
TectonClient(String, String) - Constructor for class ai.tecton.client.TectonClient: Constructor for a simple Tecton Client
TectonClient(String, String, TectonClientOptions) - Constructor for class ai.tecton.client.TectonClient: Constructor for a Tecton Client with custom configurations
TectonClientException - Exception in ai.tecton.client.exceptions: Exception class that is used to represent various errors encountered by the client.
TectonClientException(String) - Constructor for exception ai.tecton.client.exceptions.TectonClientException
TectonClientException(String, Throwable) - Constructor for exception ai.tecton.client.exceptions.TectonClientException
TectonClientException(Throwable) - Constructor for exception ai.tecton.client.exceptions.TectonClientException
TectonClientOptions - Class in ai.tecton.client: A class that provides custom configuration options for the underlying Http Client.
TectonClientOptions() - Constructor for class ai.tecton.client.TectonClientOptions: Constructor that instantiates a TectonClientOptions with default configurations
TectonClientOptions(Duration, Duration, int, Duration, int) - Constructor for class ai.tecton.client.TectonClientOptions: Constructor that configures the TectonClientOptions with specified configurations
TectonClientOptions.Builder - Class in ai.tecton.client: A Builder class for creating an instance of TectonClientOptions object with specific configurations
TectonErrorMessage - Class in ai.tecton.client.exceptions: Class that declares all the different error messages included in the TectonClientException
TectonErrorMessage() - Constructor for class ai.tecton.client.exceptions.TectonErrorMessage
TectonHttpClient - Class in ai.tecton.client.transport
TectonHttpClient(String, String, TectonClientOptions) - Constructor for class ai.tecton.client.transport.TectonHttpClient
TectonHttpClient.HttpMethod - Enum in ai.tecton.client.transport
TectonServiceException - Exception in ai.tecton.client.exceptions: Exception class that is used to represent an error response received from the FeatureService API.
TectonServiceException(String) - Constructor for exception ai.tecton.client.exceptions.TectonServiceException
TectonServiceException(String, Throwable) - Constructor for exception ai.tecton.client.exceptions.TectonServiceException
TectonServiceException(Throwable) - Constructor for exception ai.tecton.client.exceptions.TectonServiceException
timeout(Duration) - Method in class ai.tecton.client.request.GetFeaturesBatchRequest.Builder

U

UNKNOWN_DATA_TYPE - Static variable in class ai.tecton.client.exceptions.TectonErrorMessage
UNKNOWN_DATETIME_FORMAT - Static variable in class ai.tecton.client.exceptions.TectonErrorMessage
UNSUPPORTED_LIST_DATA_TYPE - Static variable in class ai.tecton.client.exceptions.TectonErrorMessage

V

valueOf(String) - Static method in enum ai.tecton.client.model.FeatureStatus: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum ai.tecton.client.model.MetadataOption: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum ai.tecton.client.model.SloInformation.SloIneligibilityReason: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum ai.tecton.client.model.ValueType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum ai.tecton.client.transport.TectonHttpClient.HttpMethod: Returns the enum constant of this type with the specified name.
values() - Static method in enum ai.tecton.client.model.FeatureStatus: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum ai.tecton.client.model.MetadataOption: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum ai.tecton.client.model.SloInformation.SloIneligibilityReason: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum ai.tecton.client.model.ValueType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum ai.tecton.client.transport.TectonHttpClient.HttpMethod: Returns an array containing the constants of this enum type, in the order they are declared.
ValueType - Enum in ai.tecton.client.model: Enum that represents the different data types (primitive or custom) of feature values

W

workspaceName(String) - Method in class ai.tecton.client.request.GetFeaturesBatchRequest.Builder: Setter for workspaceName

A B C D E F G H I K M N P R S T U V W