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We released an new version of summary pages implemented in F#.
use the cache pre-population solution implemented in our ETL
Towards the end of the week, a few people reached out to me saying that they were encountering an increasing number of failed requests when using APIv2. They were peculiarly saying that they couldn't download new data from the API after the release. My first action in such cases is to check the API service, and our PGBouncer instances to ensure that they are healthy. Then I usually clear the storage cache for APIv2, which usually solves the problem.
Number of grievances directed to me in Twitter increased. People were now reporting increased latency in our Generic API. This concerned me because unlike APIv2, which is aggressively throttled and is designed to download very large payloads, the Generic API has been implemented in the Go programming language using highly optimised queries for rapid response. Whilst a download from APIv2 may take 3 or 4 minutes to complete, the average latency for our Generic API is ~50 milliseconds.
Based on discussions in the issue ticket, it appears that the problem is associated with a setting entitled Just-in-time Compilation (JIT) that is turned on by default in Postgres 14 when it is compiled using LLVM.
Simple query runs long when DB schema contains thousands of tables #186
The UK coronavirus dashboard is the primary data reporting service for the COVID-19 pandemic in the United Kingdom. It sustains on average 45 to 50 million hits a day, and is regarded as a critical service.
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