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Скачать или смотреть How to Set Connection and Request Timeout in GremlinPython Using aiohttp

  • vlogize
  • 2025-03-27
  • 2
How to Set Connection and Request Timeout in GremlinPython Using aiohttp
GremlinPython add connection and request timeout to DriverRemoteConnection with aiohttpaiohttpamazon neptunegremlinpython
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Описание к видео How to Set Connection and Request Timeout in GremlinPython Using aiohttp

A guide on how to manage connection and request timeouts when using the `GremlinPython` library with `aiohttp` for AWS Neptune.
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This video is based on the question https://stackoverflow.com/q/71337856/ asked by the user 'Toussah' ( https://stackoverflow.com/u/2889553/ ) and on the answer https://stackoverflow.com/a/71339402/ provided by the user 'Toussah' ( https://stackoverflow.com/u/2889553/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: GremlinPython add connection and request timeout to DriverRemoteConnection with aiohttp

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
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Managing Connection and Request Timeouts in GremlinPython with aiohttp

When upgrading the GremlinPython package from version 3.4 to 3.5, many users have faced challenges due to the removal of the tornado support. In particular, configuring the connection and request timeouts correctly can be a stumbling block, especially for those migrating their codebase or working with AWS Neptune. In this post, we'll walk you through the process of setting these parameters using the new aiohttp approach.

The Problem

In previous versions of GremlinPython, you could easily establish a DriverRemoteConnection and specify connection and request timeouts using the tornado library as shown in the code snippet below:

[[See Video to Reveal this Text or Code Snippet]]

However, after upgrading to version 3.5, the dependency on tornado is removed and only aiohttp is supported. This makes it challenging for users who simply want to manage timeouts without introducing asynchronous programming, which can complicate existing codebases. Many were left wondering how to replicate the same functionality they had before.

The Solution

After some digging through the source code of gremlinpython and aiohttp, a solid solution emerged for setting connection and request timeouts while adhering to the new library's requirements.

Step-by-Step Implementation

To configure the DriverRemoteConnection with connection and request timeouts, you should leverage the parameters that are now directly passed to AiohttpTransport. Here's how you can do it:

Establish the Connection: Instead of going through tornado, you will directly pass the timeout parameters to DriverRemoteConnection intended for aiohttp.

Modified Code Snippet:

[[See Video to Reveal this Text or Code Snippet]]

Key Points to Note:

Timeout Parameters:

timeout: This represents the connection timeout. It is the maximum amount of time allowed to establish a connection.

read_timeout: This one governs how long the client will wait for a response after a connection has been established before timing out.

This updated approach keeps your code cleaner and allows you to manage timeouts without the complexities associated with asynchronous programming.

Conclusion

The transition from tornado to aiohttp in GremlinPython may initially pose challenges, especially around connection and request timeouts. However, by utilizing the capabilities of AiohttpTransport within DriverRemoteConnection, you can seamlessly adapt your code to the new standards and maintain control over your connection behavior.

By following the steps outlined above, you can ensure that your AWS Neptune connections are efficient and reliable, without spiraling into the complexities of asynchronous programming if it’s not warranted.

Remember, adapting to these changes not only keeps your project up-to-date with the latest library standards but also enhances your application's performance and reliability as you work with Gremlin queries. Happy coding!

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