mirror of https://github.com/dapr/docs.git
updates for scheduler going stable
Signed-off-by: Hannah Hunter <hannahhunter@microsoft.com>
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@ -11,6 +11,8 @@ The diagram below shows how the Scheduler service is used via the jobs API when
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<img src="/images/scheduler/scheduler-architecture.png" alt="Diagram showing the Scheduler control plane service and the jobs API">
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The Scheduler service is deployed by default, including for [Scheduler actor reminders]({{< ref "jobs-overview.md#actor-reminders" >}}) (actor reminders stored in the Scheduler control plane service as opposed to the Placement control plane service actor reminder system) and workflows.
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## Self-hosted mode
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The Scheduler service Docker container is started automatically as part of `dapr init`. It can also be run manually as a process if you are running in [slim-init mode]({{< ref self-hosted-no-docker.md >}}).
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@ -61,7 +61,7 @@ The Scheduler service enables the scheduling of jobs to scale across multiple re
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### Actor reminders
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Actors have actor reminders, but present some limitations involving scalability using the Placement service implementation. You can make reminders more scalable by using [`SchedulerReminders`]({{< ref support-preview-features.md >}}). This is set in the configuration for your actor application.
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Actors have actor reminders, but present some limitations involving scalability using the Placement service implementation. You can make reminders more scalable by using `SchedulerReminders` in the configuration for your actor application. `SchedulerReminders` defaults to `true`. To disable Scheduler actor reminders, change it to `false`.
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## Try out the jobs API
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@ -21,5 +21,4 @@ For CLI there is no explicit opt-in, just the version that this was first made a
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| **Cryptography** | Encrypt or decrypt data without having to manage secrets keys | N/A | [Cryptography concept]({{< ref "components-concept#cryptography" >}})| v1.11 |
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| **Actor State TTL** | Allow actors to save records to state stores with Time To Live (TTL) set to automatically clean up old data. In its current implementation, actor state with TTL may not be reflected correctly by clients, read [Actor State Transactions]({{< ref actors_api.md >}}) for more information. | `ActorStateTTL` | [Actor State Transactions]({{< ref actors_api.md >}}) | v1.11 |
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| **Component Hot Reloading** | Allows for Dapr-loaded components to be "hot reloaded". A component spec is reloaded when it is created/updated/deleted in Kubernetes or on file when running in self-hosted mode. Ignores changes to actor state stores and workflow backends. | `HotReload`| [Hot Reloading]({{< ref components-concept.md >}}) | v1.13 |
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| **Subscription Hot Reloading** | Allows for declarative subscriptions to be "hot reloaded". A subscription is reloaded either when it is created/updated/deleted in Kubernetes, or on file in self-hosted mode. In-flight messages are unaffected when reloading. | `HotReload`| [Hot Reloading]({{< ref "subscription-methods.md#declarative-subscriptions" >}}) | v1.14 |
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| **Scheduler Actor Reminders** | Whilst the [Scheduler service]({{< ref "concepts/dapr-services/scheduler.md" >}}) is deployed by default, Scheduler actor reminders (actor reminders stored in the Scheduler control plane service as opposed to the Placement control plane service actor reminder system) are enabled through a preview feature and needs a feature flag. | `SchedulerReminders`| [Scheduler actor reminders]({{< ref "jobs-overview.md#actor-reminders" >}}) | v1.14 |
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| **Subscription Hot Reloading** | Allows for declarative subscriptions to be "hot reloaded". A subscription is reloaded either when it is created/updated/deleted in Kubernetes, or on file in self-hosted mode. In-flight messages are unaffected when reloading. | `HotReload`| [Hot Reloading]({{< ref "subscription-methods.md#declarative-subscriptions" >}}) | v1.14 |
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