Gateway Time-out failure by using high amount of world city data

Dear geodirectory Developers,

I am running with geodirectory into the almost same data consumption problem that I had with geotheme. That is why I migrated to geodirectory with your latest developments and in hope you have solved these problems, but is seems not.

Referring to a former thread where I stated a problem of not being able to use the multi-city drop-down when it comes to a huge amount of world multi-city files within database existing.

Problem description:
After implementing these data and again re-sured from world city data file seller that the files are proper and should be usable I am getting the failure message by using the multi city drop-down.

Gateway Time-out failure – The gateway did not receive a timely response from the upstream server or application. Additionally, a 504 Gateway Time-out error was encountered while trying to use an ErrorDocument to handle the request.

According to the advice within the thread stated above I truncated the table wp_1geodir_post_locations and started again with no data. And renamed the older table into wp_1geodir_post_locations-KT-files.

CONCLUSION:
So it seems to me that, when it comes through a high amount of world city in combination with a huge amount of listings then geodirectory will not work proper any more?

I/we need now clarification from the geodirectory developers.

1. Are you aware about this increasing data volume problem?
2. Will you develop an update to solve this problem, to enable and assure a stable usage even with high data amount existing?

MISSION:
A proper, easy to use, fast and stable system even with huge amount of data are the most important criteria to use and run geodirectory not only for me, even for all customers itself.

I am looking forward to your reply and leave you with my best regards,
Alex

P.S. Please do not misunderstand my intention within this thread, I love your system and want to make sure that this will still stay in nearer future.

P.P.S. All other readers and customers are invited to add your statements and suggestions for future development to enable a stable high data usability.