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Distributed Scheduled Job Framework

active 2023-08-162026-05-21 (UTC)

Complete coverage26,381 / 26,381 hourly files (100%) · 2 absent upstream2023-08-152026-08-18 (UTC)
Events
131
Pushes
0
Pull requests
1
Issues
6
Stars
99
Forks
22

Activity over time

Daily event counts in the loaded window

Line chart, 1010 days from 2023-08-16 to 2026-05-21. Pushes: 0 total, peak 0 in a day. Pull requests: 1 total, peak 1 in a day. Issues: 6 total, peak 2 in a day. Comments: 3 total, peak 2 in a day. Stars: 99 total, peak 4 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
Laity4002
smallze3000
sevenDay20141001
xiaomacdut1000
sea-huang1010

Recent activity

Latest issues, pull requests and releases

  • Issue#483xiaomacdut2024-05-10 09:38
    如何判断任务到了执行时间
  • Pull request#448sea-huang2024-02-29 07:18
  • Issue#482Laity2024-01-03 08:50
    不兼容java17的SharedSecrets
  • Issue#482Laity2024-01-02 06:46
    不兼容java17的SharedSecrets
  • Issue comment#481Laity2024-01-02 06:39
    如何确保配置了多线程的taskTracker执行的有序性
  • Issue comment#481Laity2024-01-02 06:32
    如何确保配置了多线程的taskTracker执行的有序性
  • Issue comment#480sevenDay20142023-12-18 05:44
    如何确保配置了多线程的taskTracker执行的有序性
  • Issue#480smallze2023-12-18 05:43
    如何确保配置了多线程的taskTracker执行的有序性
  • Issue#481smallze2023-11-30 07:03
    如何确保配置了多线程的taskTracker执行的有序性
  • Issue#480smallze2023-11-30 06:50
    如何确保配置了多线程的taskTracker执行的有序性

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 99 stars here means stars gained during the window, not the repo's star count.