If was having a lot of storage compared to the typical execution of the algorithm, using multiple computers to run this YouTube graph discovery would make sense. Should then also pay attention to global variables (notably mutexes) to not treat multiple times (one time on different computers) the same channel.
If was having a lot of storage compared to the typical execution of the algorithm, using multiple computers to run this YouTube graph discovery would make sense. Should then also pay attention to global variables (notably mutexes) to not treat multiple times (one time on different computers) the same channel.
_Originally posted by @Benjamin_Loison in https://gitea.lemnoslife.com/Benjamin_Loison/YouTube_captions_search_engine/issues/2#issuecomment-426_
Note that the main problem might be to have multiple YouTube operational API running on multiple IPs cf this Git issue comment.
Note that the main problem might be to have multiple YouTube operational API running on multiple IPs cf [this Git issue comment](https://github.com/Benjamin-Loison/YouTube-operational-API/issues/11#issuecomment-1430484543).
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If was having a lot of storage compared to the typical execution of the algorithm, using multiple computers to run this YouTube graph discovery would make sense. Should then also pay attention to global variables (notably mutexes) to not treat multiple times (one time on different computers) the same channel.
Originally posted by @Benjamin_Loison in #2 (comment)
Note that the main problem might be to have multiple YouTube operational API running on multiple IPs cf this Git issue comment.