@ancient-wolf-19325 If I want to use JSON for inputs and outputs in my Java tasks and workflows, what is the best datatype to use to encode them?

To use JSON for inputs and outputs in your Java tasks and workflows in Flyte, the best approach is to use the

LiteralType.JSON

datatype. This datatype is designed to handle JSON objects natively, addressing issues with the current JSON handling via protobuf Struct, particularly with integer representation. According to GitHub Issue #5318, Flyte is working on supporting a new

LiteralType.JSON

in FlyteIDL, which will allow users to use any object that can be serialized to JSON using binary/bytearray as the transport layer. This approach will also support custom JSON serializers and deserializers. Would you like more detail on how to implement this feature or any potential challenges? Sources: - GitHub Issue #5318 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

@ancient-wolf-19325 Can you show me an example of using a JSON literal type for my Java tasks and workflows?

Currently, Flyte does not have explicit documentation or examples for using

LiteralType.JSON

in Java tasks and workflows. However, based on the proposed support for

LiteralType.JSON

in FlyteIDL, you can follow a general approach to handle JSON inputs and outputs in your Java tasks. Here is a conceptual example of how you might define and use a JSON literal type in a Java task: 1. Define the JSON Literal Type: Ensure that your FlyteIDL supports

LiteralType.JSON

. This might involve updating your FlyteIDL definitions to include the new JSON type. 2. Implement the Task in Java: Use a JSON library like Jackson or Gson to handle JSON serialization and deserialization in your Java tasks. 3. Register the Task and Workflow: Use Flyte's Java SDK to register your task and workflow, specifying the JSON literal type for inputs and outputs. Here is a simplified example using Jackson for JSON handling in a Java task:

import com.fasterxml.jackson.databind.ObjectMapper;
import flytekit.sdk.tasks.Task;
import flytekit.sdk.tasks.TaskInput;
import flytekit.sdk.tasks.TaskOutput;
import flytekit.sdk.tasks.Workflow;
import flytekit.sdk.tasks.WorkflowInput;
import flytekit.sdk.tasks.WorkflowOutput;

public class JsonTaskExample {

    // Define a simple POJO for JSON data
    public static class MyJsonData {
        public int id;
        public String name;

        // Getters and setters
    }

    // Task to process JSON input and produce JSON output
    public static class ProcessJsonTask extends Task<MyJsonData, MyJsonData> {
        private static final ObjectMapper objectMapper = new ObjectMapper();

        @Override
        public TaskOutput<MyJsonData> run(TaskInput<MyJsonData> input) {
            MyJsonData inputData = input.get();
            // Process the JSON data (example: increment the id)
            inputData.id += 1;
            return TaskOutput.of(inputData);
        }
    }

    // Workflow to use the JSON task
    public static class JsonWorkflow extends Workflow<MyJsonData, MyJsonData> {
        private final ProcessJsonTask processJsonTask = new ProcessJsonTask();

        @Override
        public WorkflowOutput<MyJsonData> run(WorkflowInput<MyJsonData> input) {
            MyJsonData inputData = input.get();
            MyJsonData outputData = processJsonTask.run(TaskInput.of(inputData)).get();
            return WorkflowOutput.of(outputData);
        }
    }

    public static void main(String[] args) {
        // Example JSON input
        String jsonInput = "{\"id\": 1, \"name\": \"example\"}";

        try {
            ObjectMapper objectMapper = new ObjectMapper();
            MyJsonData inputData = objectMapper.readValue(jsonInput, MyJsonData.class);

            // Run the workflow
            JsonWorkflow workflow = new JsonWorkflow();
            MyJsonData result = workflow.run(WorkflowInput.of(inputData)).get();

            // Print the result