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Import BinaryIngestBuffer and SubscriptionListener from sdk.client #112

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Merged
JosteinGj merged 1 commit into from
Oct 5, 2026
Merged

Import BinaryIngestBuffer and SubscriptionListener from sdk.client #112

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2 changes: 1 addition & 1 deletion docs/guides/ingest-timeseries.mdx
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Original file line number Diff line number Diff line change
Expand Up @@ -290,7 +290,7 @@ sends once 10 000 points have accumulated or the oldest is 200 ms old. `add` nev
network, and closing the buffer flushes what is left:

```java
import ai.intellistream.datahub.sdk.ingest.BinaryIngestBuffer;
import ai.intellistream.datahub.sdk.client.BinaryIngestBuffer;

try (BinaryIngestBuffer buffer = client.timeseries().binaryBuffer()) {
buffer.add("engine_temperature", Instant.now(), 92.4);
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2 changes: 1 addition & 1 deletion docs/guides/realtime-subscriptions.mdx
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Expand Up @@ -93,7 +93,7 @@ to the timeout and returns `null` on a quiet interval (it is a blocking queue ha
**not** network polling):

```java
import ai.intellistream.datahub.sdk.subscriptions.SubscriptionListener;
import ai.intellistream.datahub.sdk.client.SubscriptionListener;
import java.time.Duration;

try (SubscriptionListener listener = client.subscriptions().listen(List.of("engine_room"))) {
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2 changes: 1 addition & 1 deletion docs/reference/subscriptions.md
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Expand Up @@ -154,7 +154,7 @@ Or drive `poll` yourself, a blocking queue hand-off (not network polling) that r
to ack on your own schedule:

```java
import ai.intellistream.datahub.sdk.subscriptions.SubscriptionListener;
import ai.intellistream.datahub.sdk.client.SubscriptionListener;
import java.time.Duration;

try (SubscriptionListener listener = client.subscriptions().listen(List.of("engine_temps"))) {
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2 changes: 1 addition & 1 deletion docs/reference/timeseries.md
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Expand Up @@ -720,7 +720,7 @@ never blocks on the network; flushes run on a thread of their own. Python and Ru
binary buffer: collect the readings and call `insert_datapoints_binary` yourself.

```java
import ai.intellistream.datahub.sdk.ingest.BinaryIngestBuffer;
import ai.intellistream.datahub.sdk.client.BinaryIngestBuffer;

try (BinaryIngestBuffer buffer = client.timeseries().binaryBuffer()) { // 10 000 points or 200 ms
buffer.add("engine_temperature", Instant.now(), 92.4);
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