Frequently Asked Questions

A curated summary of the top questions asked on our Slack community, often relating to implementation, functionality, and building better products generally.
Statsig FAQs
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What to do when seeing the error `statsigSDK> Event metadata is too large (max 4096). Some attributes may be stripped.` in logs?

When you encounter the error statsigSDK> Event metadata is too large (max 4096). Some attributes may be stripped. in your logs, it indicates that the size of the metadata for a particular event has exceeded the maximum limit of 4096 characters when stringified. This limit is set by Statsig to ensure efficient data handling.

To resolve this issue, you should review the events you're logging and the associated metadata. You might be logging more information than necessary or there could be large data structures being included unintentionally. If you're unsure about what metadata is being sent, you can add debugging statements in your code to print out the metadata before it's sent to Statsig. This will help you identify any unusually large pieces of data. Once you've identified the cause, you can then modify your logging to reduce the size of the metadata. The goal is to log only the information that is necessary for your metrics and analyses.

Event metadata is usually included to filter your Metrics during analysis and define more contextual metrics. The topic of event-metadata and this limit are covered in the Statsig documentation.

This error is likely to be thrown when we log internal used performance logging events. It's not related to events your service logged with log_event. A patch will be released to fix this issue.

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What builders love about us

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At OpenAI, we want to iterate as fast as possible. Statsig enables us to grow, scale, and learn efficiently. Integrating experimentation with product analytics and feature flagging has been crucial for quickly understanding and addressing our users' top priorities.
Dave Cummings
Engineering Manager, ChatGPT
Brex's mission is to help businesses move fast. Statsig is now helping our engineers move fast. It has been a game changer to automate the manual lift typical to running experiments and has helped product teams ship the right features to their users quickly.
Karandeep Anand
At Notion, we're continuously learning what our users value and want every team to run experiments to learn more. It’s also critical to maintain speed as a habit. Statsig's experimentation platform enables both this speed and learning for us.
Mengying Li
Data Science Manager
We evaluated Optimizely, LaunchDarkly, Split, and Eppo, but ultimately selected Statsig due to its comprehensive end-to-end integration. We wanted a complete solution rather than a partial one, including everything from the stats engine to data ingestion.
Don Browning
SVP, Data & Platform Engineering
We only had so many analysts. Statsig provided the necessary tools to remove the bottleneck. I know that we are able to impact our key business metrics in a positive way with Statsig. We are definitely heading in the right direction with Statsig.
Partha Sarathi
Director of Engineering
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