# 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/a6n6onq
yue-fang-readfog
feeds.twtxt.net
View Thread
爲什麼需要向量化執行引擎**
前言--在一些前沿數據庫中，經常可以看到一個很火的詞彙——向量化執行引擎，比如 ClickHouse、DuckDB、Doris 等等，我對這個概念一直還停留在淺顯的理論層面，一直沒有機會深入，藉此機會，好好捋一捋這個高大尚的詞彙，什麼是向量化執行引擎。傳統數據庫執行器--------早期數據庫受限於硬件，內存和 CPU 等都十分昂貴，所以大多數數據庫執行器都採用傳統的火山模型，火山模型又稱 Vol ⌘ Read more