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Articles related to "schedule"


Django 3.1 Released

  • The web framework for perfectionists with deadlines.
  • The Django team is happy to announce the release of Django 3.1.
  • You can get Django 3.1 from our downloads page or from the Python Package Index.
  • The PGP key ID used for this release is Mariusz Felisiak: 2EF56372BA48CD1B.
  • With the release of Django 3.1, Django 3.0 has reached the end of mainstream support.
  • The final minor bug fix release, 3.0.9, was issued yesterday.
  • Django 3.0 will receive security and data loss fixes until April 2021.
  • All users are encouraged to upgrade before then to continue receiving fixes for security issues.
  • See the downloads page for a table of supported versions and the future release schedule.
  • Want your event listed here?

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Airflow State 101

  • SUCCESS (In both dagrun and task level | finished State): a success state shows that Airflow didn’t face any error while running the job and finished successfully.
  • RUNNING (In both dagrun and task level | unfinished StateState): a running state determines the Airflow scheduler already has assigned those dag or task to the executor.
  • FAILED (In both dagrun and task level | finished state): a failed state points to the users that something goes wrong during the execution period, and Airflow cannot schedule and execute it to the end.
  • On the other hand, at the task level, Airflow marks the exact failed tasks, and all the downstream of that tasks are marked as UPSTREAM_FAILED (if trigger_rule default to all_success), which is nice to help users find out the initial cause of failures immediately.

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Airflow State 101

  • SUCCESS (In both dagrun and task level | finished State): a success state shows that Airflow didn’t face any error while running the job and finished successfully.
  • RUNNING (In both dagrun and task level | unfinished StateState): a running state determines the Airflow scheduler already has assigned those dag or task to the executor.
  • FAILED (In both dagrun and task level | finished state): a failed state points to the users that something goes wrong during the execution period, and Airflow cannot schedule and execute it to the end.
  • On the other hand, at the task level, Airflow marks the exact failed tasks, and all the downstream of that tasks are marked as UPSTREAM_FAILED (if trigger_rule default to all_success), which is nice to help users find out the initial cause of failures immediately.

save | comments | report | share on


Airflow State 101

  • SUCCESS (In both dagrun and task level | finished State): a success state shows that Airflow didn’t face any error while running the job and finished successfully.
  • RUNNING (In both dagrun and task level | unfinished StateState): a running state determines the Airflow scheduler already has assigned those dag or task to the executor.
  • FAILED (In both dagrun and task level | finished state): a failed state points to the users that something goes wrong during the execution period, and Airflow cannot schedule and execute it to the end.
  • On the other hand, at the task level, Airflow marks the exact failed tasks, and all the downstream of that tasks are marked as UPSTREAM_FAILED (if trigger_rule default to all_success), which is nice to help users find out the initial cause of failures immediately.

save | comments | report | share on


Airflow State 101

  • SUCCESS (In both dagrun and task level | finished State): a success state shows that Airflow didn’t face any error while running the job and finished successfully.
  • RUNNING (In both dagrun and task level | unfinished StateState): a running state determines the Airflow scheduler already has assigned those dag or task to the executor.
  • FAILED (In both dagrun and task level | finished state): a failed state points to the users that something goes wrong during the execution period, and Airflow cannot schedule and execute it to the end.
  • On the other hand, at the task level, Airflow marks the exact failed tasks, and all the downstream of that tasks are marked as UPSTREAM_FAILED (if trigger_rule default to all_success), which is nice to help users find out the initial cause of failures immediately.

save | comments | report | share on


Airflow State 101

  • SUCCESS (In both dagrun and task level | finished State): a success state shows that Airflow didn’t face any error while running the job and finished successfully.
  • RUNNING (In both dagrun and task level | unfinished StateState): a running state determines the Airflow scheduler already has assigned those dag or task to the executor.
  • FAILED (In both dagrun and task level | finished state): a failed state points to the users that something goes wrong during the execution period, and Airflow cannot schedule and execute it to the end.
  • On the other hand, at the task level, Airflow marks the exact failed tasks, and all the downstream of that tasks are marked as UPSTREAM_FAILED (if trigger_rule default to all_success), which is nice to help users find out the initial cause of failures immediately.

save | comments | report | share on


Airflow State 101

  • SUCCESS (In both dagrun and task level | finished State): a success state shows that Airflow didn’t face any error while running the job and finished successfully.
  • RUNNING (In both dagrun and task level | unfinished StateState): a running state determines the Airflow scheduler already has assigned those dag or task to the executor.
  • FAILED (In both dagrun and task level | finished state): a failed state points to the users that something goes wrong during the execution period, and Airflow cannot schedule and execute it to the end.
  • On the other hand, at the task level, Airflow marks the exact failed tasks, and all the downstream of that tasks are marked as UPSTREAM_FAILED (if trigger_rule default to all_success), which is nice to help users find out the initial cause of failures immediately.

save | comments | report | share on


Oil-rich UAE opens the Arab world's first nuclear power plant. Experts question why

  • Unit 1 of the Barakah plant in the Al Dhafrah region of Abu Dhabi started producing heat on Saturday, the Emirates Nuclear Energy Corporation said in a statement.
  • The corporation said the construction of Unit 2 has finished recently, while the other two reactors are still being built -- even though the original schedule called for the plant to become operational by 2017.
  • Once completed, the four reactors, which are using South Korean technology, should produce 5.6 gigawatts of electricity and supply up to 25% of the UAE's electricity needs, the corporation said.
  • The new plant is part of the UAE's plan to become less reliant on oil and gas, the current source of the vast majority of its energy.
  • However, some experts have questioned the need for the nuclear power plant given the country's potential to develop solar energy and the tensions surrounding nuclear power in the Middle East.

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Star Citizen dev offers roadmap for development of new development roadmap

  • So RSI promised it was "going back to the proverbial drawing board to explore different [roadmap] approaches for Squadron 42." That included potential options that would "utilize our internal sprint-tracking process to visualize our progress," tying in directly with RSI's internal project scheduling software.
  • We’ll approach them in the order above, and we’ll likely need a few weeks between steps, so I don’t want to create the impression that this is happening overnight.
  • After waiting nearly eight years and counting for Star Citizen, we here at Ars can't wait for this exciting new development to "drastically change how [we] follow the development progress." Failing that, though, we eagerly await an update that offers more details on the development of the new development roadmap, which we expect could be coming in a few months' time.

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