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• Python Comet Server

  - by HenryL

  I am building a web application that has a real-time feed (similar to Facebook's newsfeed) that I want to update via a long-polling mechanism. I understand that with Python, my choices are pretty much to either use Stackless (building from their Comet wsgi example) or Cometd + Twisted. Unfortunately there is very little documentation regarding these options and I cannot find good information online about production scale users of comet on Python. Has anyone successfully implemented comet on Python in a production system? How did you go about doing it and where can I find resources to implement my own?

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• What is the most efficient procedure for implementing a sortable ajax list on the backend?

  - by HenryL

  The most common method is to assign a sequential order field for each item in the list and do an update that maintains the sequence with every ajax sort operation. Unfortunately, this requires an update to each item of the list every time someone sorts. This is fine for small lists, but what's the best way to implement sorting for larger lists that are constantly updated? I am looking for something that minimizes DB IO.

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• Why does tokyo tyrant slow down exponentially even after adjusting bnum?

  - by HenryL

  Has anyone successfully used Tokyo Cabinet / Tokyo Tyrant with large datasets? I am trying to upload a subgraph of the Wikipedia datasource. After hitting about 30 million records, I get exponential slow down. This occurs with both the HDB and BDB databases. I adjusted bnum to 2-4x the expected number of records for the HDB case with only a slight speed up. I also set xmsiz to 1GB or so but ultimately I still hit a wall. It seems that Tokyo Tyrant is basically an in memory database and after you exceed the xmsiz or your RAM, you get a barely usable database. Has anyone else encountered this problem before? Were you able to solve it?

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