# I am the Watcher. I am your guide through this vast new twtiverse.
#
# Usage:
# https://watcher.sour.is/api/plain/users View list of users and latest twt date.
# https://watcher.sour.is/api/plain/twt View all twts.
# https://watcher.sour.is/api/plain/mentions?uri=:uri View all mentions for uri.
# https://watcher.sour.is/api/plain/conv/:hash View all twts for a conversation subject.
#
# Options:
# uri Filter to show a specific users twts.
# offset Start index for quey.
# limit Count of items to return (going back in time).
#
# twt range = 1 1
# self = https://watcher.sour.is/conv/vfltoea
高併發下的數據一致性保障(圖文全面總結)**
01架構 — 思維背景我們之前介紹過分佈式事務的解決方案,參考作者這篇《五種分佈式事務解決方案(圖文總結) 》。 在那篇文章中我們介紹了分佈式場景下困擾我們的 3 個核心需求(CAP):一致性、可用性、分區容錯性,以及在實際場景中的業務折衷。 1、一致性(Consistency): 再分佈,所有實例節點同一時間看到是相同的數據 2、可用性(Availability): 不管是否成 ⌘ Read more