Docs: link to object API docs (#29195)

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Enno 2020-06-26 09:07:01 +02:00 committed by GitHub
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6 changed files with 7 additions and 6 deletions

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@ -21,7 +21,7 @@ The restart process is inherently lossy, since there is no coordination between
messages. A termination signal from either end of the wrapped @apidoc[Flow] will cause the other end to be terminated,
and any in transit messages will be lost. During backoff, this @apidoc[Flow] will backpressure.
This uses the same exponential backoff algorithm as @apidoc[Backoff].
This uses the same exponential backoff algorithm as @apidoc[Backoff$].
## Reactive Streams semantics

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@ -19,7 +19,7 @@ The restart process is inherently lossy, since there is no coordination between
messages. A termination signal from either end of the wrapped @apidoc[Flow] will cause the other end to be terminated,
and any in transit messages will be lost. During backoff, this @apidoc[Flow] will backpressure.
This uses the same exponential backoff algorithm as @apidoc[Backoff].
This uses the same exponential backoff algorithm as @apidoc[Backoff$].
## Reactive Streams semantics

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@ -21,4 +21,4 @@ The restart process is inherently lossy, since there is no coordination between
messages. When the wrapped @apidoc[Sink] does cancel, this @apidoc[Sink] will backpressure, however any elements already
sent may have been lost.
This uses the same exponential backoff algorithm as @apidoc[Backoff].
This uses the same exponential backoff algorithm as @apidoc[Backoff$].

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@ -16,7 +16,7 @@ When that happens, the wrapped @apidoc[Source], if currently running will be can
This can be triggered simply by the downstream cancelling, or externally by introducing a @apidoc[KillSwitch] right
after this @apidoc[Source] in the graph.
This uses the same exponential backoff algorithm as @apidoc[Backoff].
This uses the same exponential backoff algorithm as @apidoc[Backoff$].
## Reactive Streams semantics

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@ -14,7 +14,8 @@ Stream the values from a Java 8 `Stream`, requesting the next value when there i
Stream the values from a Java 8 `Stream`, requesting the next value when there is demand. The iterator will be created anew
for each materialization, which is the reason the @scala[`method`] @java[`factory`] takes a @scala[`function`] @java[`Creator`] rather than an `Stream` directly.
You can use [[Source.async]] to create asynchronous boundaries between synchronous java stream and the rest of flow.
You can use `Source.async` to create asynchronous boundaries between synchronous java stream and the rest of flow.
## Example
Scala

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@ -134,7 +134,7 @@ Event storage has the following operations:
* @apidoc[ReadEvents] Read the events from the storage.
* @apidoc[WriteEvents] Write the events to the storage.
* @apidoc[DeleteEvents] Delete the events from the storage.
* @apidoc[ReadSeqNum] Read the highest sequence number for particular persistence id.
* @apidoc[ReadSeqNum$] Read the highest sequence number for particular persistence id.
Snapshot storage has the following operations: