- Mar 16, 2022
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- Mar 11, 2022
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Andrew Kapuscinski authored
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Charlotte Hausman authored
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Nathan Bockisch authored
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- Mar 09, 2022
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Daniel Lyons authored
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- Mar 08, 2022
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Nathan Bockisch authored
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Nathan Bockisch authored
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- Feb 04, 2022
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Janet Goldstein authored
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- Jan 20, 2022
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Nathan Hertz authored
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- Jan 13, 2022
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Andrew Kapuscinski authored
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- Jan 10, 2022
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Nathan Hertz authored
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- Dec 17, 2021
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Janet Goldstein authored
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- Dec 13, 2021
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Andrew Kapuscinski authored
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- Dec 09, 2021
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Janet Goldstein authored
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- Dec 08, 2021
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Charlotte Hausman authored
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- Nov 18, 2021
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Janet Goldstein authored
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- Nov 12, 2021
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Charlotte Hausman authored
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Nathan Hertz authored
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Charlotte Hausman authored
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- Nov 01, 2021
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Janet Goldstein authored
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- Oct 29, 2021
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Andrew Kapuscinski authored
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- Oct 28, 2021
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Andrew Kapuscinski authored
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- Oct 20, 2021
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Andrew Kapuscinski authored
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Andrew Kapuscinski authored
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- Oct 12, 2021
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Andrew Kapuscinski authored
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Daniel Lyons authored
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- Oct 05, 2021
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Janet Goldstein authored
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- Sep 30, 2021
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Charlotte Hausman authored
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- Sep 28, 2021
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Charlotte Hausman authored
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- Sep 27, 2021
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Charlotte Hausman authored
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- Sep 15, 2021
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Janet Goldstein authored
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- Sep 07, 2021
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Daniel Lyons authored
This is two lines of thought combined into one merge: 1. AMQP clients should either receive messages or send messages 2. Capability queues are based on a database-backed queue manager rather than keeping state in-memory Most of the work relating to the first idea comes in refactoring the Router to not be a message sender. Many places in the code now either instantiate a MessageSender instead, or use both a Router and a MessageSender if they truly needed both functionalities. The previous implementation appears to have caused messages to arrive out of order because facilities like `wf_monitor` that only send messages were also trying to receive messages, and either not handling them at all or putting them into a buffer of some kind to be dropped on the floor when the process ended. The work relating to the second idea changes the way that steps are processed in the capability service and eliminates the capability engine concept. Now when PrepareAndRunWorkflow steps are reached, the capability is simply moved into the Waiting state and the queue manager is signaled. Whenever the queue manager is awakened, it checks to see if any queues have slots available and requests waiting. If they do, the number of available slots are used to get requests and start executing them. When an execution exits the cluster, the queue manager is signaled again, so the process continues until all the jobs are processed. As a stability benefit, we check this on startup as well.
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- Sep 02, 2021
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Charlotte Hausman authored
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Janet Goldstein authored
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- Sep 01, 2021
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Nathan Hertz authored
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- Aug 30, 2021
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Nathan Hertz authored
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request
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- Aug 20, 2021
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Daniel Lyons authored
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- Aug 16, 2021
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Nathan Hertz authored
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