# 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/qsu4f7q
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一文讀懂分佈式存儲架構背後的存儲引擎原理**
很多應用都屬於數據密集型應用，而非計算密集型；對於這類應用，CPU 往往不是第一限制性因素，關鍵在於數據量 、數據複雜度 和 數據的快速多變性；因此數據庫的選型在應用系統設計中就顯得比較重要。數據庫（數據引擎）最核心的任務就是 “讀到寫入的值”，我們嘗試從 “最簡單的腳本文件數據讀寫” 一步一步擴展討論到 “分佈式鍵值數據庫”，在這個過程中我們會遇到很多 “挑戰”，並嘗試逐步解決。 01單機存儲 ⌘ Read more