# 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/i4ums5q
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常見分佈式任務框架在高併發下的性能分析**
前言當大量定時任務需要在同一時刻運行時，任務平臺的任務延遲會顯著增大，這是因爲任務平臺負載過高，導致任務運行延遲增大。本文對常見的分佈式框架進行壓力測試以及性能分析，從源碼層面找到性能差異的原因，同時希望通過測試與分析，可以開發出在高併發場景下，實現更低延遲的任務平臺。壓力測試測試方法----每個任務平臺都創建 5000 個 cron 表達式（/30 \* ?）任務，這些任務會在 0 秒和 3 ⌘ Read more*