Creating a new Neptune Analytics graph using the AWS Management Console - Neptune Analytics

Creating a new Neptune Analytics graph using the AWS Management Console

You can use the Neptune console to create a new Neptune Analytics graph.

Note

If you are working with a large dataset (on the order of 50 GiB or larger) that you intend to load at the same time the new graph is created, be sure to create an IAM role that grants permissions to load the dataset from the location where it resides.

To use the Neptune console to create a graph

  1. Sign in to the AWS Management Console, and open the Amazon Neptune console at https://console.aws.amazon.com/neptune/.

  2. In the navigation pane, select Graphs under Analytics.

  3. Select Create graph.

  4. Enter a name for the new graph.

  5. The next steps depend on whether you are creating an empty graph or one preloaded with data.

    • If you choose Create empty graph, choose the number of memory-optimized Neptune Capacity Units (m-NCUs) to allocate to the new Neptune Analytics graph, between 128 and 1024. Each m-NCU has around one GiB of memory capacity and corresponding compute and networking.

    • If you choose Create Graph from existing source, Neptune Analytics will bulk-load data for you when the graph is created. Choose this option if you want to import a large dataset, on the order of 50 GiB or larger. See Bulk import for details.

      1. Set values for the minimum and maximum m-NCUs, or just leave them at their default values (128 m-NCUs). The units are memory-optimized Neptune Capacity Units (m-NCUs), each of which is roughly equivalent to 1 GiB of memory and corresponding compute and networking. Neptune Analytics evaluates the data that you want to load and estimates the resources needed to handle it, within the range of m-NCUs that you specify.

      2. Under Load role ARN, select an IAM role that you have created to provide the necessary permissions for the data import. See Create an IAM role with permissions to export from Neptune to Neptune Analytics for instructions about how to create the role.

      3. The next steps depend on what source you're loading data from:

        • If you choose Neptune cluster as the type of source, select the DB cluster that you want to load from under Neptune cluster.

        • If you choose Neptune cluster snapshot as the type of source, select one of your manual DB snapshots that you want to load from under Neptune DB snapshot.

        • If you choose S3 as the type of source, enter the URL of the Amazon S3 location where the data file(s) to be loaded are located, under Resource URI. The path to the folder location must end in a slash rather than specify to a particular file.

  6. Under Availability settings, choose how many failover replicas you want to create for the new graph. The default is one, but if you select Use custom number of replicas you can choose from zero to two failover replicas.

    Important

    Additional charges equivalent to the m-NCUs selected for the graph apply for each replica.

  7. Under Network and security, check Allow from public to create a public endpoint for your new Neptune Analytics graph to make it accessible over the internet. If you want to use your own KMS key to encrypt your data, check Customize encryption settings a specify a KMS key of your choosing.

  8. Under Vector search settings, if you want to set up a vector index for the graph, choose Use vector dimension and then specify the number of dimensions for the vectors in the index.

  9. Under Advanced settings, you can make it easier to delete your new graph by selecting Turn off deletion protection. Deletion protection is turned on by default.

  10. Finally, under Tags, you can associate tags with your new Neptune Analytics graph.

  11. When everything is configured as you want it to be, choose Create Graph.