Package-level declarations

Raised in case of an authentication or authorization failure.

Raised when a request is submitted that cannot be processed.

Raised when a specified bulk-load job ID cannot be found.

Raised when a user cancelled a request.

Raised when a request timed out in the client.

Raised when a request attempts to modify data that is concurrently being modified by another process.

Raised when a value in a request field did not satisfy required constraints.

Contains custom model training parameters. See Custom models in Neptune ML.

Contains custom model transform parameters. See Use a trained model to generate new model artifacts.

The payload for DeleteStatistics.

An edge structure.

Raised when a request attempts to access an stream that has expired.

Raised when a request fails.

A structure containing the fast reset token used to initiate a fast reset.

Captures the status of a Gremlin query (see the Gremlin query status API page).

Contains status components of a Gremlin query.

Raised when an argument in a request is not supported.

Raised when the processing of the request failed unexpectedly.

Raised when an argument in a request has an invalid value.

Raised when invalid numerical data is encountered when servicing a request.

Raised when a parameter value is not valid.

Contains a list of load IDs.

Raised when access is denied to a specified load URL.

Raised when a query is submitted that is syntactically incorrect or does not pass additional validation.

Raised when a request fails because of insufficient memory resources. The request can be retried.

Raised when the HTTP method used by a request is not supported by the endpoint being used.

Raised when a required parameter is missing.

Contains a Neptune ML configuration.

Defines a Neptune ML resource.

Raised when a specified machine-learning resource could not be found.

Base class for all service related exceptions thrown by the Neptunedata client

A node structure.

Raised when a parsing issue is encountered.

Raised when a precondition for processing a request is not satisfied.

A Gremlin or openCypher change record.

Structure of a property graph record.

The graph summary API returns a read-only list of node and edge labels and property keys, along with counts of nodes, edges, and properties. See Graph summary response for a property graph (PG).

Payload for the property graph summary response.

Structure to capture query statistics such as how many queries are running, accepted or waiting and their details.

Structure for expressing the query language version.

Raised when the number of active queries exceeds what the server can process. The query in question can be retried when the system is less busy.

Raised when the size of a query exceeds the system limit.

Raised when the body of a query is too large.

The RDF graph summary API returns a read-only list of classes and predicate keys, along with counts of quads, subjects, and predicates.

Payload for an RDF graph summary response.

Raised when a request attempts to write to a read-only resource.

Statistics for REFRESH mode.

Raised when there is a problem accessing Amazon S3.

Raised when the server shuts down while processing a request.

Neptune logs are converted to SPARQL quads in the graph using the Resource Description Framework (RDF) N-QUADS language defined in the W3C RDF 1.1 N-Quads specification

A serialized SPARQL stream record capturing a change-log entry for the RDF graph.

Contains statistics information. The DFE engine uses information about the data in your Neptune graph to make effective trade-offs when planning query execution. This information takes the form of statistics that include so-called characteristic sets and predicate statistics that can guide query planning. See Managing statistics for the Neptune DFE to use.

Raised when statistics needed to satisfy a request are not available.

Information about the characteristic sets generated in the statistics.

Raised when stream records requested by a query cannot be found.

A subject structure.

Raised when the rate of requests exceeds the maximum throughput. Requests can be retried after encountering this exception.

Raised when the an operation exceeds the time limit allowed for it.

Raised when the number of requests being processed exceeds the limit.

Raised when a request attempts to initiate an operation that is not supported.