mirror of https://github.com/apache/druid.git
102 lines
4.7 KiB
Markdown
102 lines
4.7 KiB
Markdown
---
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id: rolling-updates
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title: "Rolling updates"
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---
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~ Licensed to the Apache Software Foundation (ASF) under one
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For rolling Apache Druid cluster updates with no downtime, we recommend updating Druid processes in the
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following order:
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1. Historical
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2. \*Overlord (if any)
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3. \*Middle Manager/Indexers (if any)
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4. Standalone Real-time (if any)
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5. Broker
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6. Coordinator ( or merged Coordinator+Overlord )
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\* In 0.12.0, there are protocol changes between the Kafka supervisor and Kafka Indexing task and also some changes to the metadata formats persisted on disk. Therefore, to support rolling upgrade, all the Middle Managers will need to be upgraded first before the Overlord. Note that this ordering is different from the standard order of upgrade, also note that this ordering is only necessary when using the Kafka Indexing Service. If one is not using Kafka Indexing Service or can handle down time for Kafka Supervisor then one can upgrade in any order.
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## Historical
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Historical processes can be updated one at a time. Each Historical process has a startup time to memory map
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all the segments it was serving before the update. The startup time typically takes a few seconds to
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a few minutes, depending on the hardware of the host. As long as each Historical process is updated
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with a sufficient delay (greater than the time required to start a single process), you can rolling
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update the entire Historical cluster.
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## Overlord
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Overlord processes can be updated one at a time in a rolling fashion.
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## Middle Managers/Indexers
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Middle Managers or Indexer nodes run both batch and real-time indexing tasks. Generally you want to update Middle
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Managers in such a way that real-time indexing tasks do not fail. There are three strategies for
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doing that.
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### Rolling restart (restore-based)
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Middle Managers can be updated one at a time in a rolling fashion when you set
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`druid.indexer.task.restoreTasksOnRestart=true`. In this case, indexing tasks that support restoring
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will restore their state on Middle Manager restart, and will not fail.
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Currently, only realtime tasks support restoring, so non-realtime indexing tasks will fail and will
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need to be resubmitted.
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### Rolling restart (graceful-termination-based)
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Middle Managers can be gracefully terminated using the "disable" API. This works for all task types,
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even tasks that are not restorable.
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To prepare a Middle Manager for update, send a POST request to
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`<MiddleManager_IP:PORT>/druid/worker/v1/disable`. The Overlord will now no longer send tasks to
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this Middle Manager. Tasks that have already started will run to completion. Current state can be checked
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using `<MiddleManager_IP:PORT>/druid/worker/v1/enabled` .
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To view all existing tasks, send a GET request to `<MiddleManager_IP:PORT>/druid/worker/v1/tasks`.
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When this list is empty, you can safely update the Middle Manager. After the Middle Manager starts
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back up, it is automatically enabled again. You can also manually enable Middle Managers by POSTing
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to `<MiddleManager_IP:PORT>/druid/worker/v1/enable`.
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### Autoscaling-based replacement
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If autoscaling is enabled on your Overlord, then Overlord processes can launch new Middle Manager processes
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en masse and then gracefully terminate old ones as their tasks finish. This process is configured by
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setting `druid.indexer.runner.minWorkerVersion=#{VERSION}`. Each time you update your Overlord process,
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the `VERSION` value should be increased, which will trigger a mass launch of new Middle Managers.
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The config `druid.indexer.autoscale.workerVersion=#{VERSION}` also needs to be set.
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## Standalone Real-time
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Standalone real-time processes can be updated one at a time in a rolling fashion.
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## Broker
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Broker processes can be updated one at a time in a rolling fashion. There needs to be some delay between
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updating each process as Brokers must load the entire state of the cluster before they return valid
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results.
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## Coordinator
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Coordinator processes can be updated one at a time in a rolling fashion.
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