Welcome to the Revecast Connect Troubleshooting Guide. This page outlines common error messages that you may encounter while using Revecast Connect, along with steps to resolve them. Our goal is to help you quickly identify and fix issues, ensuring smooth and efficient integration processes, integration troubleshooting doesn’t have to be painful!
Common Error Messages and Solutions #
Error Code: P10001 #
Message: Result too large to serialize
Description: This error occurs when dealing with large files (greater than 128MB) due to limitations on how large a JavaScript Buffer can be.
Solution: Reduce the size of your step result if possible. Consider breaking down large files into smaller chunks or optimizing your data processing steps to handle smaller datasets.
Error Code: P10002 #
Message: Result contains non-serializable functions
Description: This error occurs if your step result contains JavaScript functions. Revecast Connect serializes step results using MessagePack, which does not support JavaScript functions.
Solution: As a workaround, you can JSON stringify and JSON parse an object, which will automatically remove any functions.
const myReturnValue = {
foo: 123,
bar: "Hello, World",
baz: () => {
console.log("Hi!");
},
};
const sanitizedResults = JSON.parse(JSON.stringify(myReturnValue));
return { data: sanitizedResults }; // Returns {foo: 123, bar: "Hello, World"}
Error Code: P10003 #
Message: Error serializing step results
Description: An unknown error occurred when serializing your step results. Revecast Connect uses MessagePack to serialize step results, which supports various complex and primitive types (numbers, strings, objects, arrays, Buffers, null, etc.).
Solution: Ensure that the data you are returning conforms to the MessagePack specification. Verify that your step results contain only supported types and structures.
Additional Troubleshooting Tips #
1. Validate Your Data #
- Data Types: Ensure that your data types are compatible with MessagePack serialization. Avoid using unsupported types such as functions, symbols, or undefined.
- Data Size: Check the size of your data. Large datasets may need to be broken down into smaller parts to fit within the serialization limits.
2. Monitor System Performance #
- Resource Utilization: Monitor CPU, memory, and network usage to identify performance bottlenecks. High resource utilization can lead to timeouts and serialization errors.
- Logging: Enable detailed logging to capture error messages and stack traces. This information can help in diagnosing and resolving issues.
3. Optimize Workflows #
- Step Design: Optimize your workflow steps to handle data more efficiently. Use filtering, aggregation, and transformation techniques to minimize the size and complexity of data being processed.
- Error Handling: Implement robust error handling mechanisms to gracefully manage exceptions and retries. This can prevent minor issues from escalating into major disruptions.
If you encounter issues that are not covered in this guide, please search our Success Center or contact our support team at customersuccess@revecast.io for assistance. We are here to help you resolve any problems and ensure your Revecast Connect integrations run smoothly.
