use of com.linkedin.restli.client.DefaultScatterGatherStrategy in project rest.li by linkedin.
the class LatencyInstrumentationResource method create.
/**
* This is the "upstream endpoint" which is queried directly by the integration test.
* This endpoint makes a call to {@link #batchPartialUpdate(BatchPatchRequest)} (the "downstream endpoint"),
* then packs all the client-side timing data into the original server-side request context.
*/
@ReturnEntity
@RestMethod.Create
public CreateKVResponse<Long, InstrumentationControl> create(InstrumentationControl control) {
final boolean forceException = control.isForceException();
final boolean useScatterGather = control.isUseScatterGather();
final String uriPrefix = control.getServiceUriPrefix();
// Build the downstream request
final BatchPartialUpdateEntityRequestBuilder<Long, InstrumentationControl> builder = new LatencyInstrumentationBuilders().batchPartialUpdateAndGet();
final PatchRequest<InstrumentationControl> patch = PatchGenerator.diffEmpty(control);
for (long i = 0; i < DOWNSTREAM_BATCH_SIZE; i++) {
builder.input(i, patch);
}
final BatchPartialUpdateEntityRequest<Long, InstrumentationControl> request = builder.build();
// Set up the Rest.li client config
final RestLiClientConfig clientConfig = new RestLiClientConfig();
clientConfig.setUseStreaming(control.isUseStreaming());
if (useScatterGather) {
clientConfig.setScatterGatherStrategy(new DefaultScatterGatherStrategy(new DummyUriMapper()));
}
final TransportClient transportClient = new HttpClientFactory.Builder().build().getClient(Collections.emptyMap());
final RestClient restClient = new ForceScatterGatherRestClient(new TransportClientAdapter(transportClient), uriPrefix, clientConfig);
final RequestContext serverRequestContext = getContext().getRawRequestContext();
final RequestContext clientRequestContext = new RequestContext();
// Load the timing importance threshold from the server context into the client context
clientRequestContext.putLocalAttr(TimingContextUtil.TIMING_IMPORTANCE_THRESHOLD_KEY_NAME, serverRequestContext.getLocalAttr(TimingContextUtil.TIMING_IMPORTANCE_THRESHOLD_KEY_NAME));
try {
// Make the request, then assert that the returned errors (if any) are as expected
BatchKVResponse<Long, UpdateEntityStatus<InstrumentationControl>> response = restClient.sendRequest(request, clientRequestContext).getResponseEntity();
final Map<Long, ErrorResponse> errors = response.getErrors();
if (forceException && errors.isEmpty()) {
throw new RestLiServiceException(HttpStatus.S_500_INTERNAL_SERVER_ERROR, "Expected failures for the downstream batch request, but found none.");
}
if (!forceException && !errors.isEmpty()) {
throw new RestLiServiceException(HttpStatus.S_500_INTERNAL_SERVER_ERROR, "Expected no failures for the downstream batch request, but found some.");
}
for (ErrorResponse errorResponse : errors.values()) {
if (!DOWNSTREAM_ERROR_CODE.equals(errorResponse.getCode())) {
throw new RestLiServiceException(HttpStatus.S_500_INTERNAL_SERVER_ERROR, "Encountered a downstream failure with an unexpected or missing error code.");
}
}
} catch (RemoteInvocationException e) {
throw new RestLiServiceException(HttpStatus.S_500_INTERNAL_SERVER_ERROR, "Downstream failures should be batch entry failures, but encountered a top-level request failure.", e);
}
Map<TimingKey, TimingContextUtil.TimingContext> clientTimingsMap = TimingContextUtil.getTimingsMap(clientRequestContext);
Map<TimingKey, TimingContextUtil.TimingContext> serverTimingsMap = TimingContextUtil.getTimingsMap(serverRequestContext);
// Load all client timings into the server timings map
serverTimingsMap.putAll(clientTimingsMap);
getContext().setResponseHeader(HAS_CLIENT_TIMINGS_HEADER, Boolean.TRUE.toString());
if (forceException) {
throw new RestLiServiceException(HttpStatus.S_400_BAD_REQUEST, "You wanted me to fail, so I failed.").setCode(UPSTREAM_ERROR_CODE);
}
return new CreateKVResponse<>(1L, control);
}
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