dify - 💡(How to fix) Fix Failed to execute code, which is likely a network issue, please check if the sandbox service is running. ( Error: timed out )

This is my workflow. It can run normally when testing a small amount of data. However, when I uploaded an excel file with approximately 16M of data and 11,344 rows, it failed to run the next time: "Failed to execute code. This is likely a network issue. Please check if the sandbox service is running." (Error: timed out) Failed to execute code, which is likely a network issue, please check if the sandbox service is running. ( Error: timed out )

TL;DR

Increase the timeout or optimize the Python code to handle large datasets to resolve the "Failed to execute code" error due to a timeout.

Guidance

• Verify that the sandbox service is running and properly configured, as the error message suggests a potential network issue.
• Check the Python code for any performance bottlenecks or inefficient operations that could be causing the timeout when processing large datasets.
• Consider increasing the timeout value for the code execution, if possible, to allow for longer processing times.
• Optimize the workflow to handle large datasets, such as by processing the data in chunks or using more efficient data processing algorithms.

Example

No code snippet is provided as the issue does not include the specific Python code being executed.

Notes

The issue may be related to the large size of the dataset being processed, and increasing the timeout or optimizing the code may not be sufficient to resolve the issue. Further investigation into the code and workflow may be necessary.

Recommendation

Apply a workaround by optimizing the Python code to handle large datasets, as increasing the timeout may not be a scalable solution.