@Generated(value="com.amazonaws:aws-java-sdk-code-generator") public class AbstractAmazonNeptunedata extends Object implements AmazonNeptunedata
AmazonNeptunedata. Convenient method forms pass through to the corresponding
overload that takes a request object, which throws an UnsupportedOperationException.ENDPOINT_PREFIX| Modifier | Constructor and Description |
|---|---|
protected |
AbstractAmazonNeptunedata() |
public CancelGremlinQueryResult cancelGremlinQuery(CancelGremlinQueryRequest request)
AmazonNeptunedataCancels a Gremlin query. See Gremlin query cancellation for more information.
cancelGremlinQuery in interface AmazonNeptunedatapublic CancelLoaderJobResult cancelLoaderJob(CancelLoaderJobRequest request)
AmazonNeptunedata
Cancels a specified load job. This is an HTTP DELETE request.
See Neptune Loader Get-Status API for more information.
cancelLoaderJob in interface AmazonNeptunedatapublic CancelMLDataProcessingJobResult cancelMLDataProcessingJob(CancelMLDataProcessingJobRequest request)
AmazonNeptunedata
Cancels a Neptune ML data processing job. See The
dataprocessing command.
cancelMLDataProcessingJob in interface AmazonNeptunedatapublic CancelMLModelTrainingJobResult cancelMLModelTrainingJob(CancelMLModelTrainingJobRequest request)
AmazonNeptunedata
Cancels a Neptune ML model training job. See Model
training using the modeltraining command.
cancelMLModelTrainingJob in interface AmazonNeptunedatapublic CancelMLModelTransformJobResult cancelMLModelTransformJob(CancelMLModelTransformJobRequest request)
AmazonNeptunedataCancels a specified model transform job. See Use a trained model to generate new model artifacts.
cancelMLModelTransformJob in interface AmazonNeptunedatapublic CancelOpenCypherQueryResult cancelOpenCypherQuery(CancelOpenCypherQueryRequest request)
AmazonNeptunedataCancels a specified openCypher query. See Neptune openCypher status endpoint for more information.
cancelOpenCypherQuery in interface AmazonNeptunedatapublic CreateMLEndpointResult createMLEndpoint(CreateMLEndpointRequest request)
AmazonNeptunedataCreates a new Neptune ML inference endpoint that lets you query one specific model that the model-training process constructed. See Managing inference endpoints using the endpoints command.
createMLEndpoint in interface AmazonNeptunedatapublic DeleteMLEndpointResult deleteMLEndpoint(DeleteMLEndpointRequest request)
AmazonNeptunedataCancels the creation of a Neptune ML inference endpoint. See Managing inference endpoints using the endpoints command.
deleteMLEndpoint in interface AmazonNeptunedatapublic DeletePropertygraphStatisticsResult deletePropertygraphStatistics(DeletePropertygraphStatisticsRequest request)
AmazonNeptunedataDeletes statistics for Gremlin and openCypher (property graph) data.
deletePropertygraphStatistics in interface AmazonNeptunedatapublic DeleteSparqlStatisticsResult deleteSparqlStatistics(DeleteSparqlStatisticsRequest request)
AmazonNeptunedataDeletes SPARQL statistics
deleteSparqlStatistics in interface AmazonNeptunedatapublic ExecuteFastResetResult executeFastReset(ExecuteFastResetRequest request)
AmazonNeptunedataThe fast reset REST API lets you reset a Neptune graph quicky and easily, removing all of its data.
Neptune fast reset is a two-step process. First you call ExecuteFastReset with action
set to initiateDatabaseReset. This returns a UUID token which you then include when calling
ExecuteFastReset again with action set to performDatabaseReset. See Empty an Amazon
Neptune DB cluster using the fast reset API.
executeFastReset in interface AmazonNeptunedatapublic ExecuteGremlinExplainQueryResult executeGremlinExplainQuery(ExecuteGremlinExplainQueryRequest request)
AmazonNeptunedataExecutes a Gremlin Explain query.
Amazon Neptune has added a Gremlin feature named explain that provides is a self-service tool for
understanding the execution approach being taken by the Neptune engine for the query. You invoke it by adding an
explain parameter to an HTTP call that submits a Gremlin query.
The explain feature provides information about the logical structure of query execution plans. You can use this information to identify potential evaluation and execution bottlenecks and to tune your query, as explained in Tuning Gremlin queries. You can also use query hints to improve query execution plans.
executeGremlinExplainQuery in interface AmazonNeptunedatapublic ExecuteGremlinProfileQueryResult executeGremlinProfileQuery(ExecuteGremlinProfileQueryRequest request)
AmazonNeptunedataExecutes a Gremlin Profile query, which runs a specified traversal, collects various metrics about the run, and produces a profile report as output. See Gremlin profile API in Neptune for details.
executeGremlinProfileQuery in interface AmazonNeptunedatapublic ExecuteGremlinQueryResult executeGremlinQuery(ExecuteGremlinQueryRequest request)
AmazonNeptunedataThis commands executes a Gremlin query. Amazon Neptune is compatible with Apache TinkerPop3 and Gremlin, so you can use the Gremlin traversal language to query the graph, as described under The Graph in the Apache TinkerPop3 documentation. More details can also be found in Accessing a Neptune graph with Gremlin.
executeGremlinQuery in interface AmazonNeptunedatapublic ExecuteOpenCypherExplainQueryResult executeOpenCypherExplainQuery(ExecuteOpenCypherExplainQueryRequest request)
AmazonNeptunedata
Executes an openCypher explain request. See The openCypher
explain feature for more information.
executeOpenCypherExplainQuery in interface AmazonNeptunedatapublic GetEngineStatusResult getEngineStatus(GetEngineStatusRequest request)
AmazonNeptunedataCheck the status of the graph database on the host.
getEngineStatus in interface AmazonNeptunedatapublic GetGremlinQueryStatusResult getGremlinQueryStatus(GetGremlinQueryStatusRequest request)
AmazonNeptunedataGets the status of a specified Gremlin query.
getGremlinQueryStatus in interface AmazonNeptunedatapublic GetMLDataProcessingJobResult getMLDataProcessingJob(GetMLDataProcessingJobRequest request)
AmazonNeptunedata
Retrieves information about a specified data processing job. See The
dataprocessing command.
getMLDataProcessingJob in interface AmazonNeptunedatapublic GetMLEndpointResult getMLEndpoint(GetMLEndpointRequest request)
AmazonNeptunedataRetrieves details about an inference endpoint. See Managing inference endpoints using the endpoints command.
getMLEndpoint in interface AmazonNeptunedatapublic GetMLModelTrainingJobResult getMLModelTrainingJob(GetMLModelTrainingJobRequest request)
AmazonNeptunedata
Retrieves information about a Neptune ML model training job. See Model
training using the modeltraining command.
getMLModelTrainingJob in interface AmazonNeptunedatapublic GetMLModelTransformJobResult getMLModelTransformJob(GetMLModelTransformJobRequest request)
AmazonNeptunedataGets information about a specified model transform job. See Use a trained model to generate new model artifacts.
getMLModelTransformJob in interface AmazonNeptunedatapublic GetOpenCypherQueryStatusResult getOpenCypherQueryStatus(GetOpenCypherQueryStatusRequest request)
AmazonNeptunedataRetrieves the status of a specified openCypher query.
getOpenCypherQueryStatus in interface AmazonNeptunedatapublic GetPropertygraphStatisticsResult getPropertygraphStatistics(GetPropertygraphStatisticsRequest request)
AmazonNeptunedataGets property graph statistics (Gremlin and openCypher).
getPropertygraphStatistics in interface AmazonNeptunedatapublic GetPropertygraphSummaryResult getPropertygraphSummary(GetPropertygraphSummaryRequest request)
AmazonNeptunedataGets a graph summary for a property graph.
getPropertygraphSummary in interface AmazonNeptunedatapublic GetRDFGraphSummaryResult getRDFGraphSummary(GetRDFGraphSummaryRequest request)
AmazonNeptunedataGets a graph summary for an RDF graph.
getRDFGraphSummary in interface AmazonNeptunedatapublic GetSparqlStatisticsResult getSparqlStatistics(GetSparqlStatisticsRequest request)
AmazonNeptunedataGets RDF statistics (SPARQL).
getSparqlStatistics in interface AmazonNeptunedatapublic GetSparqlStreamResult getSparqlStream(GetSparqlStreamRequest request)
AmazonNeptunedataGets a stream for an RDF graph.
With the Neptune Streams feature, you can generate a complete sequence of change-log entries that record every
change made to your graph data as it happens. GetSparqlStream lets you collect these change-log
entries for an RDF graph.
The Neptune streams feature needs to be enabled on your Neptune DBcluster. To enable streams, set the neptune_streams DB cluster parameter to 1.
See Capturing graph changes in real time using Neptune streams.
getSparqlStream in interface AmazonNeptunedatapublic ListGremlinQueriesResult listGremlinQueries(ListGremlinQueriesRequest request)
AmazonNeptunedataLists active Gremlin queries. See Gremlin query status API for details about the output.
listGremlinQueries in interface AmazonNeptunedatapublic ListLoaderJobsResult listLoaderJobs(ListLoaderJobsRequest request)
AmazonNeptunedata
Retrieves a list of the loadIds for all active loader jobs.
listLoaderJobs in interface AmazonNeptunedatapublic ListMLDataProcessingJobsResult listMLDataProcessingJobs(ListMLDataProcessingJobsRequest request)
AmazonNeptunedataReturns a list of Neptune ML data processing jobs. See Listing active data-processing jobs using the Neptune ML dataprocessing command.
listMLDataProcessingJobs in interface AmazonNeptunedatapublic ListMLEndpointsResult listMLEndpoints(ListMLEndpointsRequest request)
AmazonNeptunedataLists existing inference endpoints. See Managing inference endpoints using the endpoints command.
listMLEndpoints in interface AmazonNeptunedatapublic ListMLModelTrainingJobsResult listMLModelTrainingJobs(ListMLModelTrainingJobsRequest request)
AmazonNeptunedata
Lists Neptune ML model-training jobs. See Model
training using the modeltraining command.
listMLModelTrainingJobs in interface AmazonNeptunedatapublic ListMLModelTransformJobsResult listMLModelTransformJobs(ListMLModelTransformJobsRequest request)
AmazonNeptunedataReturns a list of model transform job IDs. See Use a trained model to generate new model artifacts.
listMLModelTransformJobs in interface AmazonNeptunedatapublic ListOpenCypherQueriesResult listOpenCypherQueries(ListOpenCypherQueriesRequest request)
AmazonNeptunedataLists active openCypher queries. See Neptune openCypher status endpoint for more information.
listOpenCypherQueries in interface AmazonNeptunedatapublic ManagePropertygraphStatisticsResult managePropertygraphStatistics(ManagePropertygraphStatisticsRequest request)
AmazonNeptunedataManages the generation and use of property graph statistics.
managePropertygraphStatistics in interface AmazonNeptunedatapublic ManageSparqlStatisticsResult manageSparqlStatistics(ManageSparqlStatisticsRequest request)
AmazonNeptunedataManages the generation and use of RDF graph statistics.
manageSparqlStatistics in interface AmazonNeptunedatapublic StartLoaderJobResult startLoaderJob(StartLoaderJobRequest request)
AmazonNeptunedataStarts a Neptune bulk loader job to load data from an Amazon S3 bucket into a Neptune DB instance. See Using the Amazon Neptune Bulk Loader to Ingest Data.
startLoaderJob in interface AmazonNeptunedatapublic StartMLDataProcessingJobResult startMLDataProcessingJob(StartMLDataProcessingJobRequest request)
AmazonNeptunedata
Creates a new Neptune ML data processing job for processing the graph data exported from Neptune for training.
See The
dataprocessing command.
startMLDataProcessingJob in interface AmazonNeptunedatapublic StartMLModelTrainingJobResult startMLModelTrainingJob(StartMLModelTrainingJobRequest request)
AmazonNeptunedata
Creates a new Neptune ML model training job. See Model
training using the modeltraining command.
startMLModelTrainingJob in interface AmazonNeptunedatapublic StartMLModelTransformJobResult startMLModelTransformJob(StartMLModelTransformJobRequest request)
AmazonNeptunedataCreates a new model transform job. See Use a trained model to generate new model artifacts.
startMLModelTransformJob in interface AmazonNeptunedatapublic void shutdown()
AmazonNeptunedatashutdown in interface AmazonNeptunedatapublic ResponseMetadata getCachedResponseMetadata(AmazonWebServiceRequest request)
AmazonNeptunedataResponse metadata is only cached for a limited period of time, so if you need to access this extra diagnostic information for an executed request, you should use this method to retrieve it as soon as possible after executing a request.
getCachedResponseMetadata in interface AmazonNeptunedatarequest - The originally executed request.Copyright © 2023. All rights reserved.