用好村史馆，重在融入生活、服务村民。村史馆建在村里，服务的首要对象是村民。不妨将其打造为乡村的多功能客厅：既可以与新时代文明实践结合，举办各类文化活动，也可以打造成当地的旅游地标，推动农文旅融合发展；既可以“化身”非遗传承体验点，邀请手艺人现场展示技艺，也可以在村史馆里开议事会，使其成为村民常来爱来的公共空间。
Git packfiles use delta compression, storing only the diff when a 10MB file changes by one line, while the objects table stores each version in full. A file modified 100 times takes about 1GB in Postgres versus maybe 50MB in a packfile. Postgres does TOAST and compress large values, but that’s compressing individual objects in isolation, not delta-compressing across versions the way packfiles do, so the storage overhead is real. A delta-compression layer that periodically repacks objects within Postgres, or offloads large blobs to S3 the way LFS does, is a natural next step. For most repositories it still won’t matter since the median repo is small and disk is cheap, and GitHub’s Spokes system made a similar trade-off years ago, storing three full uncompressed copies of every repository across data centres because redundancy and operational simplicity beat storage efficiency even at hundreds of exabytes.
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For several years, Finder has been having trouble keeping windows up to date with folder changes. Most commonly seen when a program I'm coding in my day-to-day work writes files to a folder, those files often don't show up at all. Sometimes you can force it to reload by backing out of the folder, using Go To Folder, entering the full path, leaving it for a few seconds and letting the go to panel "autocomplete" the name - for some reason, that seems to clear out the cobwebs momentarily and sync with the current state of the file system. Sometimes, even that workaround doesn't work, and the only cure is to relaunch the Finder. Leaving the entire computer to be for hours on end, then closing all windows, then opening a new window showing the same folder still does not refresh the state of the folder. Creating a new folder in the Finder in the affected folder, that new folder does appear, but things that did not originate from within the Finder - no.
Definitely a victory for Postgres, especially latency-wise. But, each of the two might have something left in the tank; rerunning the case with 60 000 QPS rate wanted: