Java SDK for Spice.ai

For full documentation visit Spice.ai OSS Docs.

Installation

Maven

Add the following dependency to your Maven project:

<dependency>
  <groupId>ai.spice</groupId>
  <artifactId>spiceai</artifactId>
  <version>0.3.0</version>
  <scope>compile</scope>
</dependency>

Gradle

Add the following dependency to your Gradle project:

implementation 'ai.spice:spiceai:0.3.0'

Manual installation

Pre-built jars are available from a public maven repository. To build a .jar, execute the command below from the repository root:

mvn package -Dmaven.test.skip=true

Supported Java Versions

This library supports the following Java implementations:

• OpenJDK 11
• OpenJDK 17
• OpenJDK 21
• OracleJDK 11
• OracleJDK 17
• OracleJDK 21
• OracleJDK 22

Usage

With locally running Spice.ai OSS

Follow the quickstart guide to install and run Spice locally:

import org.apache.arrow.flight.FlightStream;
import ai.spice.SpiceClient;

public class Example {

    public static void main(String[] args) {
        try (SpiceClient client = SpiceClient.builder()
                .build()) {

            FlightStream stream = client.query("SELECT * FROM taxi_trips LIMIT 10;");

            while (stream.next()) {
                try (VectorSchemaRoot batches = stream.getRoot()) {
                    System.out.println(batches.contentToTSVString());
                }
            }
        } catch (Exception e) {
            System.err.println("An unexpected error occurred: " + e.getMessage());
        }
    }
}

With Spice.ai Cloud

Create a free Spice.ai account to obtain an API_KEY

import org.apache.arrow.flight.FlightStream;
import ai.spice.SpiceClient;

public class Example {
    final static String API_KEY = "api-key";

    public static void main(String[] args) {
        try (SpiceClient client = SpiceClient.builder()
                .withApiKey(API_KEY)
                .withSpiceCloud()
                .build()) {

            FlightStream stream = client.query("SELECT * FROM eth.recent_blocks LIMIT 10;");

            while (stream.next()) {
                try (VectorSchemaRoot batches = stream.getRoot()) {
                    System.out.println(batches.contentToTSVString());
                }
            }
        } catch (Exception e) {
            System.err.println("An unexpected error occurred: " + e.getMessage());
        }
    }
}

Connection retry

The SpiceClient implements a connection retry mechanism with 3 attempts by default. The number of attempts can be configured with withMaxRetries:

SpiceClient client = SpiceClient.builder()
    .withMaxRetries(5) // Setting to 0 will disable retries
    .build();

Retries are performed for connection and system internal errors. It is the SDK user's responsibility to properly handle other errors, for example RESOURCE_EXHAUSTED (HTTP 429).

Spice.ai Runtime commands

Accelerated dataset refresh

Use refresh method to perform Accelerated Dataset refresh. See full dataset refresh example.

SpiceClient client = SpiceClient.builder()
    ..
    .build();

client.refresh("taxi_trips")

🤝 Connect with us

Use issues, [email protected] or Discord to send us feedback, suggestion or if you need help installing or using the library.