# 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/gyd36xq
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高併發訂單系統設計：每天新增 100w 訂單數據的分庫分表方案**
在電商和在線服務領域，訂單處理系統面臨着巨大的數據壓力。每天新增 100 萬條訂單數據的場景，要求系統具備高併發處理能力和良好的可擴展性。本文將探討如何通過分庫分表的設計來支撐高併發的訂單處理系統。1. 分庫分表的必要性隨着訂單量的激增，單一數據庫的性能瓶頸逐漸顯現。單表數據量過大將導致查詢效率下降，寫入性能受限。因此，合理的分庫分表策略是解決這一問題的關鍵。2. 分庫策略按業務模塊分庫：將不同業 ⌘ Read more