use of io.confluent.kafkarest.entities.ProduceResult in project kafka-rest by confluentinc.
the class ProduceActionTest method getProduceResultMock.
private static CompletableFuture<ProduceResult> getProduceResultMock(int offset, int producerId) {
ProduceResult produceResult = mock(ProduceResult.class);
setExpectsForProduceResult(produceResult, offset, producerId);
return CompletableFuture.completedFuture(produceResult);
}
use of io.confluent.kafkarest.entities.ProduceResult in project kafka-rest by confluentinc.
the class ProduceAction method produce.
private CompletableFuture<ProduceResponse> produce(String clusterId, String topicName, ProduceRequest request, ProduceController controller) {
try {
produceRateLimiters.rateLimit(clusterId, request.getOriginalSize());
} catch (RateLimitExceededException e) {
// KREST-4356 Use our own CompletionException that will avoid the costly stack trace fill.
throw new StacklessCompletionException(e);
}
Instant requestInstant = Instant.now();
Optional<RegisteredSchema> keySchema = request.getKey().flatMap(key -> getSchema(topicName, /* isKey= */
true, key));
Optional<EmbeddedFormat> keyFormat = keySchema.map(schema -> Optional.of(schema.getFormat())).orElse(request.getKey().flatMap(ProduceRequestData::getFormat));
Optional<ByteString> serializedKey = serialize(topicName, keyFormat, keySchema, request.getKey(), /* isKey= */
true);
Optional<RegisteredSchema> valueSchema = request.getValue().flatMap(value -> getSchema(topicName, /* isKey= */
false, value));
Optional<EmbeddedFormat> valueFormat = valueSchema.map(schema -> Optional.of(schema.getFormat())).orElse(request.getValue().flatMap(ProduceRequestData::getFormat));
Optional<ByteString> serializedValue = serialize(topicName, valueFormat, valueSchema, request.getValue(), /* isKey= */
false);
recordRequestMetrics(request.getOriginalSize());
CompletableFuture<ProduceResult> produceResult = controller.produce(clusterId, topicName, request.getPartitionId(), request.getHeaders().stream().collect(PRODUCE_REQUEST_HEADER_COLLECTOR), serializedKey, serializedValue, request.getTimestamp().orElse(Instant.now()));
return produceResult.handleAsync((result, error) -> {
if (error != null) {
long latency = Duration.between(requestInstant, Instant.now()).toMillis();
recordErrorMetrics(latency);
throw new StacklessCompletionException(error);
}
return result;
}, executorService).thenApplyAsync(result -> {
ProduceResponse response = toProduceResponse(clusterId, topicName, keyFormat, keySchema, valueFormat, valueSchema, result);
long latency = Duration.between(requestInstant, result.getCompletionTimestamp()).toMillis();
recordResponseMetrics(latency);
return response;
}, executorService);
}
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