Upload Files Failing After Approximately 35 Files

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Introduction

Uploading multiple files to a table via the API or manually can be a crucial task in various applications. However, when dealing with a large number of files, issues can arise, leading to failed uploads and timeouts. In this article, we will delve into the problem of upload files failing after approximately 35 files and explore possible solutions to resolve this issue.

Describe the Bug

When uploading multiple files (approximately 35 or more) to a table via the API or manually, the upload process starts failing with HTTPConnectionPool(host='127.0.0.1', port=3000): Read timed out. (read timeout=10) errors. This issue occurs consistently after processing around 35 files, regardless of whether the uploads are performed via a script or manually. The server appears to handle the initial uploads successfully but begins timing out on subsequent requests.

Config for the Upload

In this scenario, the upload configuration involves using S3 uploads. The backend code (AttachmentsService) and thresholdConfig do not impose an explicit limit on the number of uploads, only file size limits (maxAttachmentUploadSize and maxOpenapiAttachmentUploadSize, both set to Infinity by default). This suggests that the issue is not related to the file size but rather to the number of uploads.

Screenshots

The following screenshot illustrates the error message received when the upload process fails:

`2025-03-10 05:19:26,471 - ERROR - Failed to upload file for record recbhV4sVwe5zvLAdvO: HTTPConnectionPool(host='127.0.0.1', port=3000): Read timed out. (read timeout=10)`

Temporary Solution

A temporary solution to resolve this issue is to restart the Docker container using the following commands:

docker compose down
docker compose up -d

This will restart the container and potentially resolve the issue. However, this solution is temporary and may not address the underlying problem.

Additional Context

The issue persists even with manual uploads, suggesting a server-side limitation rather than a client-side script problem. Logs indicate successful record creation but fail during attachment upload with a 10-second timeout (set in the script and possibly reflected in server behavior). Server logs or configuration details (e.g., Prisma connection pool, NestJS timeout settings) might provide further insight.

Example Log Snippet

The following log snippet illustrates the error message received when the upload process fails:

`2025-03-10 05:19:26,471 - ERROR - Failed to upload file for record recbhV4sVwe5zvLAdvO: HTTPConnectionPool(host='127.0.0.1', port=3000): Read timed out. (read timeout=10)`

Possible Causes

Based on the information provided, possible causes of this issue include:

  • Server-side timeout: The server may be imposing a timeout on the upload process, causing it to fail after a certain number of files.
  • Connection pool exhaustion: The connection pool may be exhausted after a certain number of uploads, leading to failed connections and timeouts.
  • Configuration issues: Configuration issues, such as incorrect timeout settings or connection pool settings, may be contributing to the problem.

Resolving the Issue

To resolve this issue, it is essential to investigate the server-side configuration and logs to identify the root cause. Possible solutions include:

  • Increasing the timeout: Increasing the timeout value on the server-side may resolve the issue.
  • Configuring the connection pool: Configuring the connection pool to handle a larger number of connections may resolve the issue.
  • Optimizing the upload process: Optimizing the upload process, such as using parallel uploads or chunking large files, may resolve the issue.

Conclusion

Introduction

In our previous article, we explored the problem of upload files failing after approximately 35 files and possible solutions to resolve this issue. In this article, we will provide a Q&A section to address common questions and concerns related to this issue.

Q: What is the root cause of the issue?

A: The root cause of the issue is likely related to the server-side configuration and connection pool settings. Possible causes include server-side timeout, connection pool exhaustion, and configuration issues.

Q: How can I identify the root cause of the issue?

A: To identify the root cause of the issue, you should investigate the server-side configuration and logs. Check the timeout settings, connection pool settings, and any other relevant configuration options. Additionally, review the logs to see if there are any error messages or warnings that may indicate the root cause.

Q: What are some possible solutions to resolve the issue?

A: Possible solutions to resolve the issue include:

  • Increasing the timeout value on the server-side
  • Configuring the connection pool to handle a larger number of connections
  • Optimizing the upload process, such as using parallel uploads or chunking large files

Q: How can I increase the timeout value on the server-side?

A: To increase the timeout value on the server-side, you will need to modify the server configuration. This may involve updating the timeout settings in the application code or modifying the server configuration files. Consult the server documentation for specific instructions on how to modify the timeout settings.

Q: How can I configure the connection pool to handle a larger number of connections?

A: To configure the connection pool to handle a larger number of connections, you will need to modify the connection pool settings. This may involve updating the connection pool configuration files or modifying the application code. Consult the connection pool documentation for specific instructions on how to modify the connection pool settings.

Q: What are some best practices for optimizing the upload process?

A: Some best practices for optimizing the upload process include:

  • Using parallel uploads to upload multiple files simultaneously
  • Chunking large files to reduce the amount of data that needs to be uploaded
  • Using a connection pool to manage the connections between the client and server
  • Implementing a retry mechanism to handle failed uploads

Q: How can I implement a retry mechanism to handle failed uploads?

A: To implement a retry mechanism to handle failed uploads, you can use a library or framework that provides a retry mechanism. Alternatively, you can implement a custom retry mechanism using a loop that retries the upload operation after a specified delay.

Q: What are some common mistakes to avoid when resolving the issue?

A: Some common mistakes to avoid when resolving the issue include:

  • Increasing the timeout value without checking the root cause of the issue
  • Configuring the connection pool without checking the root cause of the issue
  • Optimizing the upload process without checking the root cause of the issue
  • Implementing a retry mechanism without checking the root cause of the issue

Conclusion

In this article, we provided a Q&A section to address common questions and concerns related to the issue of upload files failing after approximately 35 files. By understanding the root cause of the issue and implementing the correct solutions, you can resolve the issue and ensure that your application functions correctly.