Simple ILM Task Batching Implementation #78547
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A simple implementation for ILM task batching that resolves the issue of ILM creating endless queues of tasks at `NORMAL` priority in most cases. A follow-up to this should make this more efficient by not using outright cluster state updates as batching tasks to avoid creating a series of concrete cluster states for each task which can become somewhat expensive if a larger number of tasks is batched together.
original-brownbear
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:Data Management/ILM+SLM
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Pinging @elastic/es-data-management (Team:Data Management) |
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Thanks @martijnvg ! |
original-brownbear
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Oct 1, 2021
A simple implementation for ILM task batching that resolves the issue of ILM creating endless queues of tasks at `NORMAL` priority in most cases. A follow-up to this should make this more efficient by not using outright cluster state updates as batching tasks to avoid creating a series of concrete cluster states for each task which can become somewhat expensive if a larger number of tasks is batched together.
original-brownbear
added a commit
that referenced
this pull request
Oct 1, 2021
A simple implementation for ILM task batching that resolves the issue of ILM creating endless queues of tasks at `NORMAL` priority in most cases. A follow-up to this should make this more efficient by not using outright cluster state updates as batching tasks to avoid creating a series of concrete cluster states for each task which can become somewhat expensive if a larger number of tasks is batched together.
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This was referenced Oct 11, 2021
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A simple implementation for ILM task batching that resolves the issue of ILM
creating endless queues of tasks at
NORMALpriority in most cases.A follow-up to this should make this more efficient by not using outright
cluster state updates as batching tasks to avoid creating a series of concrete
cluster states for each task which can become somewhat expensive if a larger
number of tasks is batched together.