Package-level declarations

The Amazon Neptune data API provides SDK support for more than 40 of Neptune's data operations, including data loading, query execution, data inquiry, and machine learning. It supports the Gremlin and openCypher query languages, and is available in all SDK languages. It automatically signs API requests and greatly simplifies integrating Neptune into your applications.

Cancels a Gremlin query. See Gremlin query cancellation for more information.

Cancels a specified load job. This is an HTTP DELETE request. See Neptune Loader Get-Status API for more information.

Cancels a Neptune ML data processing job. See dataprocessing command.

Cancels a Neptune ML model training job. See modeltraining command.

Cancels a specified model transform job. See Use a trained model to generate new model artifacts.

Cancels a specified openCypher query. See Neptune openCypher status endpoint for more information.

Creates 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.

Cancels the creation of a Neptune ML inference endpoint. See Managing inference endpoints using the endpoints command.

Deletes statistics for Gremlin and openCypher (property graph) data.

Deletes SPARQL statistics

The fast reset REST API lets you reset a Neptune graph quicky and easily, removing all of its data.

Executes a Gremlin Explain query.

Executes 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.

This 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.

Executes an openCypher explain request. See The openCypher explain feature for more information.

Executes an openCypher query. See Accessing the Neptune Graph with openCypher for more information.

Retrieves the status of the graph database on the host.

Gets the status of a specified Gremlin query.

Gets status information about a specified load job. Neptune keeps track of the most recent 1,024 bulk load jobs, and stores the last 10,000 error details per job.

Retrieves information about a specified data processing job. See dataprocessing command.

Retrieves details about an inference endpoint. See Managing inference endpoints using the endpoints command.

Retrieves information about a Neptune ML model training job. See modeltraining command.

Gets information about a specified model transform job. See Use a trained model to generate new model artifacts.

Retrieves the status of a specified openCypher query.

Gets property graph statistics (Gremlin and openCypher).

Gets a stream for a property graph.

Gets a graph summary for a property graph.

Gets a graph summary for an RDF graph.

Gets RDF statistics (SPARQL).

Gets a stream for an RDF graph.

Lists active Gremlin queries. See Gremlin query status API for details about the output.

Retrieves a list of the loadIds for all active loader jobs.

Returns a list of Neptune ML data processing jobs. See Listing active data-processing jobs using the Neptune ML dataprocessing command.

Lists existing inference endpoints. See Managing inference endpoints using the endpoints command.

Lists Neptune ML model-training jobs. See modeltraining command.

Returns a list of model transform job IDs. See Use a trained model to generate new model artifacts.

Lists active openCypher queries. See Neptune openCypher status endpoint for more information.

Manages the generation and use of property graph statistics.

Manages the generation and use of RDF graph statistics.

Starts 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.

Creates a new Neptune ML data processing job for processing the graph data exported from Neptune for training. See dataprocessing command.

Creates a new Neptune ML model training job. See modeltraining command.

Creates a new model transform job. See Use a trained model to generate new model artifacts.

Create a copy of the client with one or more configuration values overridden. This method allows the caller to perform scoped config overrides for one or more client operations.