Intermittent Invalid Metric Type Error in Java Spring Boot App with Mixpanel

I’m seeing an intermittent "Invalid metric type" error in my Java Spring Boot app when sending events to Mixpanel. Here’s the log snippet: time="2024-11-03T23:00:58.328155210Z" level=error msg="invalid metric type for 0263554c5365dd6303716d90826da57990b4dcc0f37dbc8a7263402ced2ac063" error="<nil>" The error occurs inconsistently, and I’m trying to understand the root cause.

2 comments

kapa.ai
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Hi Alex, Please stand by as I search the Mixpanel knowledge base for an AI-powered answer. I normally take about 15 seconds or so. In case AI cannot answer your question, feel free to reach out to Mixpanel support at mixpanel.com/get-support. If you have follow-up questions for this thread, please tag me again with your question: @kapa.ai <follow-up question> 👋
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kapa.ai
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I apologize, but I don't have enough specific information in the provided knowledge sources to directly address the "Invalid metric type" error you're seeing in your Java Spring Boot app when sending events to Mixpanel. The error message you shared is not mentioned in the documents I have access to.However, I can provide some general debugging advice for Mixpanel implementations based on the available information:1. Enable Debug Mode: If you're using Mixpanel's Java SDK, you can enable debug mode to get more detailed logging information. This might help you identify the cause of the error. Mixpanel SDKs: Java documentation might have more details on how to enable debug mode for Java, though it's not explicitly mentioned in the provided sources.2. Check Event Payload: Ensure that the event data you're sending is correctly formatted. The error might be related to an invalid property type in your event payload. Review your event properties and make sure they conform to Mixpanel's expected formats.3. Error Handling: Mixpanel recommends implementing error handling for API calls. As mentioned in the Error Handling documentation, for 429 or 5XX errors, you can implement a retry strategy with exponential backoff. For 400 errors, which indicate malformed payloads, you should not retry but instead queue these messages for later inspection.4. Validate Project Token: Ensure that you're using the correct project token in your implementation. You can check this in your Project Settings.5. Check for Data Discrepancies: If you're comparing data with another analytics system, be aware that there might be differences in how and when events are triggered. Client-Side vs. Server-Side Tracking and Different Triggers to Track Data provide some insights into potential discrepancies.If the issue persists after checking these points, you may need to contact Mixpanel support for more specific assistance with your implementation. They would be better equipped to help with the specific error you're encountering.
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