# 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