By Adam T
I’m working with a Python script that saves/updates batches of data to a MySQL database and have observed a strange and dramatic difference in performance.
When I run my Python script from GitPod, it takes about 100 seconds to update 1,000 rows in the database.
When I run the same script on a DO droplet in the same datacenter as my database, it takes <1 second to update 1,000 rows in the database.
I don’t think it’s a bandwidth issue, the gitpod has great connection: Download: 1268.49 Mbit/s Upload: 962.83 Mbit/s
The only idea I’ve come up with is that DO is throttling the performance of queries that come from an external network, but the difference in performance seems pretty extreme.
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