group( get_entities(), group( get_meta_a(), # A chorded group of tasks get_meta_b.s(), get_meta_c.s() ) | merge_metadatas.s(),) | match_metadata_to_entity.s() | group( get_metrics.s(start=i, end=i+slice_size) | send_to_graphite.s() for i in range(0, count_entities(), slice_size))
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I would suggest to switch RabbitMQ for Redis as a backend. It is much more stable.Ignoring results will break workflows because celery uses results to keep tabs on how a workflow is e executed.I don't think there's such granularity in result expiration. One thing you could do is to implement your own error handler and store the errors somewhere else. You have to remember that Celery results are ephemeral and should be treated that way instead of a proper stored value.
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O Lu for the results. When using more.complocated workflows, like chords, results shouldn't be informed. In the case of chords results are mainly used by Celery internally.Broker is always better to have a proper AMQP implementation like RabbitMQ.
On Mon, Sep 2, 2019, 03:25 Giovanni Santini <itachi.sa...@gmail.com> wrote:
Hi Josue,Thanks for the suggestion!Regarding the backend switch, is it for the results or also for the broker?I stopped ignoring the results except for a few tasks where I know I can.I will consider this approach (a proper handler ) in case it's necessary in the future :)Thanks a lot again!Giovanni
Il giorno domenica 1 settembre 2019 00:58:17 UTC+2, Ing. Josue Balandrano Coronel ha scritto:I would suggest to switch RabbitMQ for Redis as a backend. It is much more stable.Ignoring results will break workflows because celery uses results to keep tabs on how a workflow is e executed.I don't think there's such granularity in result expiration. One thing you could do is to implement your own error handler and store the errors somewhere else. You have to remember that Celery results are ephemeral and should be treated that way instead of a proper stored value.
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