use of io.confluent.ksql.api.server.SlidingWindowRateLimiter in project ksql by confluentinc.
the class QueryMetricsUtil method initializePullTableMetricsCallback.
public static MetricsCallback initializePullTableMetricsCallback(final Optional<PullQueryExecutorMetrics> pullQueryMetrics, final SlidingWindowRateLimiter pullBandRateLimiter, final AtomicReference<PullQueryResult> resultForMetrics) {
final MetricsCallback metricsCallback = (statusCode, requestBytes, responseBytes, startTimeNanos) -> pullQueryMetrics.ifPresent(metrics -> {
metrics.recordStatusCode(statusCode);
metrics.recordRequestSize(requestBytes);
final PullQueryResult r = resultForMetrics.get();
if (r == null) {
recordErrorMetrics(pullQueryMetrics, responseBytes, startTimeNanos);
} else {
final QuerySourceType sourceType = r.getSourceType();
final PullPhysicalPlanType planType = r.getPlanType();
final RoutingNodeType routingNodeType = RoutingNodeType.SOURCE_NODE;
metrics.recordResponseSize(responseBytes, sourceType, planType, routingNodeType);
metrics.recordLatency(startTimeNanos, sourceType, planType, routingNodeType);
metrics.recordRowsReturned(r.getTotalRowsReturned(), sourceType, planType, routingNodeType);
metrics.recordRowsProcessed(r.getTotalRowsProcessed(), sourceType, planType, routingNodeType);
}
pullBandRateLimiter.add(responseBytes);
});
return metricsCallback;
}
use of io.confluent.ksql.api.server.SlidingWindowRateLimiter in project ksql by confluentinc.
the class QueryMetricsUtil method initializePullStreamMetricsCallback.
public static MetricsCallback initializePullStreamMetricsCallback(final Optional<PullQueryExecutorMetrics> pullQueryMetrics, final SlidingWindowRateLimiter pullBandRateLimiter, final ImmutableAnalysis analysis, final AtomicReference<StreamPullQueryMetadata> resultForMetrics, final AtomicReference<Decrementer> refDecrementer) {
final MetricsCallback metricsCallback = (statusCode, requestBytes, responseBytes, startTimeNanos) -> pullQueryMetrics.ifPresent(metrics -> {
metrics.recordStatusCode(statusCode);
metrics.recordRequestSize(requestBytes);
final StreamPullQueryMetadata m = resultForMetrics.get();
final KafkaStreams.State state = m == null ? null : m.getTransientQueryMetadata().getKafkaStreams().state();
if (m == null || state == null || state.equals(State.ERROR) || state.equals(State.PENDING_ERROR)) {
recordErrorMetrics(pullQueryMetrics, responseBytes, startTimeNanos);
} else {
final boolean isWindowed = analysis.getFrom().getDataSource().getKsqlTopic().getKeyFormat().isWindowed();
final QuerySourceType sourceType = isWindowed ? QuerySourceType.WINDOWED_STREAM : QuerySourceType.NON_WINDOWED_STREAM;
// There is no WHERE clause constraint information in the persistent logical plan
final PullPhysicalPlanType planType = PullPhysicalPlanType.UNKNOWN;
final RoutingNodeType routingNodeType = RoutingNodeType.SOURCE_NODE;
metrics.recordResponseSize(responseBytes, sourceType, planType, routingNodeType);
metrics.recordLatency(startTimeNanos, sourceType, planType, routingNodeType);
final TransientQueryQueue rowQueue = (TransientQueryQueue) m.getTransientQueryMetadata().getRowQueue();
// The rows read from the underlying data source equal the rows read by the user
// since the WHERE condition is pushed to the data source
metrics.recordRowsReturned(rowQueue.getTotalRowsQueued(), sourceType, planType, routingNodeType);
metrics.recordRowsProcessed(rowQueue.getTotalRowsQueued(), sourceType, planType, routingNodeType);
}
pullBandRateLimiter.add(responseBytes);
// Decrement on happy or exception path
final Decrementer decrementer = refDecrementer.get();
if (decrementer != null) {
decrementer.decrementAtMostOnce();
}
});
return metricsCallback;
}
use of io.confluent.ksql.api.server.SlidingWindowRateLimiter in project ksql by confluentinc.
the class QueryMetricsUtil method initializeScalablePushMetricsCallback.
public static MetricsCallback initializeScalablePushMetricsCallback(final Optional<ScalablePushQueryMetrics> scalablePushQueryMetrics, final SlidingWindowRateLimiter scalablePushBandRateLimiter, final AtomicReference<ScalablePushQueryMetadata> resultForMetrics) {
final MetricsCallback metricsCallback = (statusCode, requestBytes, responseBytes, startTimeNanos) -> scalablePushQueryMetrics.ifPresent(metrics -> {
metrics.recordStatusCode(statusCode);
metrics.recordRequestSize(requestBytes);
final ScalablePushQueryMetadata r = resultForMetrics.get();
if (r == null) {
metrics.recordResponseSizeForError(responseBytes);
metrics.recordConnectionDurationForError(startTimeNanos);
metrics.recordZeroRowsReturnedForError();
metrics.recordZeroRowsProcessedForError();
} else {
final QuerySourceType sourceType = r.getSourceType();
final RoutingNodeType routingNodeType = r.getRoutingNodeType();
metrics.recordResponseSize(responseBytes, sourceType, routingNodeType);
metrics.recordConnectionDuration(startTimeNanos, sourceType, routingNodeType);
metrics.recordRowsReturned(r.getTotalRowsReturned(), sourceType, routingNodeType);
metrics.recordRowsProcessed(r.getTotalRowsProcessed(), sourceType, routingNodeType);
}
scalablePushBandRateLimiter.add(responseBytes);
});
return metricsCallback;
}
use of io.confluent.ksql.api.server.SlidingWindowRateLimiter in project ksql by confluentinc.
the class KsqlRestApplication method buildApplication.
@SuppressWarnings({ "checkstyle:JavaNCSS", "checkstyle:MethodLength", "checkstyle:ParameterNumber" })
static KsqlRestApplication buildApplication(final String metricsPrefix, final KsqlRestConfig restConfig, final Function<Supplier<Boolean>, VersionCheckerAgent> versionCheckerFactory, final int maxStatementRetries, final ServiceContext serviceContext, final Supplier<SchemaRegistryClient> schemaRegistryClientFactory, final ConnectClientFactory connectClientFactory, final Vertx vertx, final KsqlClient sharedClient, final DefaultServiceContextFactory defaultServiceContextFactory, final UserServiceContextFactory userServiceContextFactory, final MetricCollectors metricCollectors) {
final String ksqlInstallDir = restConfig.getString(KsqlRestConfig.INSTALL_DIR_CONFIG);
final KsqlConfig ksqlConfig = new KsqlConfig(restConfig.getKsqlConfigProperties());
final ProcessingLogConfig processingLogConfig = new ProcessingLogConfig(restConfig.getOriginals());
final ProcessingLogContext processingLogContext = ProcessingLogContext.create(processingLogConfig);
final MutableFunctionRegistry functionRegistry = new InternalFunctionRegistry();
if (restConfig.getBoolean(KsqlRestConfig.KSQL_SERVER_ENABLE_UNCAUGHT_EXCEPTION_HANDLER)) {
Thread.setDefaultUncaughtExceptionHandler(new KsqlUncaughtExceptionHandler(LogManager::shutdown));
}
final SpecificQueryIdGenerator specificQueryIdGenerator = new SpecificQueryIdGenerator();
final String stateDir = ksqlConfig.getKsqlStreamConfigProps().getOrDefault(StreamsConfig.STATE_DIR_CONFIG, StreamsConfig.configDef().defaultValues().get(StreamsConfig.STATE_DIR_CONFIG)).toString();
final ServiceInfo serviceInfo = ServiceInfo.create(ksqlConfig, metricsPrefix);
final Map<String, String> metricsTags = ImmutableMap.<String, String>builder().putAll(serviceInfo.customMetricsTags()).put(KsqlConstants.KSQL_SERVICE_ID_METRICS_TAG, serviceInfo.serviceId()).build();
StorageUtilizationMetricsReporter.configureShared(new File(stateDir), metricCollectors.getMetrics(), ksqlConfig.getStringAsMap(KsqlConfig.KSQL_CUSTOM_METRICS_TAGS));
final ScheduledExecutorService executorService = Executors.newScheduledThreadPool(1, new ThreadFactoryBuilder().setNameFormat("ksql-csu-metrics-reporter-%d").build());
final ScheduledExecutorService leakedResourcesReporter = Executors.newScheduledThreadPool(1, new ThreadFactoryBuilder().setNameFormat("ksql-leaked-resources-metrics-reporter-%d").build());
final KsqlEngine ksqlEngine = new KsqlEngine(serviceContext, processingLogContext, functionRegistry, serviceInfo, specificQueryIdGenerator, new KsqlConfig(restConfig.getKsqlConfigProperties()), Collections.emptyList(), metricCollectors);
final PersistentQuerySaturationMetrics saturation = new PersistentQuerySaturationMetrics(ksqlEngine, new JmxDataPointsReporter(metricCollectors.getMetrics(), "ksqldb_utilization", Duration.ofMinutes(1)), Duration.ofMinutes(5), Duration.ofSeconds(30), ksqlConfig.getStringAsMap(KsqlConfig.KSQL_CUSTOM_METRICS_TAGS));
executorService.scheduleAtFixedRate(saturation, 0, Duration.ofMinutes(1).toMillis(), TimeUnit.MILLISECONDS);
final int transientQueryCleanupServicePeriod = ksqlConfig.getInt(KsqlConfig.KSQL_TRANSIENT_QUERY_CLEANUP_SERVICE_PERIOD_SECONDS);
final LeakedResourcesMetrics leaked = new LeakedResourcesMetrics(ksqlEngine, new JmxDataPointsReporter(metricCollectors.getMetrics(), ReservedInternalTopics.KSQL_INTERNAL_TOPIC_PREFIX + ksqlConfig.getString(KsqlConfig.KSQL_SERVICE_ID_CONFIG) + ".leaked_resources_metrics", Duration.ofSeconds(transientQueryCleanupServicePeriod)), ksqlConfig.getStringAsMap(KsqlConfig.KSQL_CUSTOM_METRICS_TAGS));
leakedResourcesReporter.scheduleAtFixedRate(leaked, 0, transientQueryCleanupServicePeriod, TimeUnit.SECONDS);
UserFunctionLoader.newInstance(ksqlConfig, functionRegistry, ksqlInstallDir, metricCollectors.getMetrics()).load();
final String commandTopicName = ReservedInternalTopics.commandTopic(ksqlConfig);
final Admin internalAdmin = createCommandTopicAdminClient(restConfig, ksqlConfig);
final KafkaTopicClient internalTopicClient = new KafkaTopicClientImpl(() -> internalAdmin);
final CommandStore commandStore = CommandStore.Factory.create(ksqlConfig, commandTopicName, Duration.ofMillis(restConfig.getLong(DISTRIBUTED_COMMAND_RESPONSE_TIMEOUT_MS_CONFIG)), ksqlConfig.addConfluentMetricsContextConfigsKafka(restConfig.getCommandConsumerProperties()), ksqlConfig.addConfluentMetricsContextConfigsKafka(restConfig.getCommandProducerProperties()), internalTopicClient);
final InteractiveStatementExecutor statementExecutor = new InteractiveStatementExecutor(serviceContext, ksqlEngine, specificQueryIdGenerator);
final StatusResource statusResource = new StatusResource(statementExecutor);
final VersionCheckerAgent versionChecker = versionCheckerFactory.apply(ksqlEngine::hasActiveQueries);
final ServerState serverState = new ServerState();
final KsqlSecurityExtension securityExtension = loadSecurityExtension(ksqlConfig);
final KsqlSecurityContextProvider ksqlSecurityContextProvider = new DefaultKsqlSecurityContextProvider(securityExtension, defaultServiceContextFactory, userServiceContextFactory, ksqlConfig, schemaRegistryClientFactory, connectClientFactory, sharedClient);
final Optional<AuthenticationPlugin> securityHandlerPlugin = loadAuthenticationPlugin(restConfig);
final Optional<KsqlAuthorizationValidator> authorizationValidator = KsqlAuthorizationValidatorFactory.create(ksqlConfig, serviceContext, securityExtension.getAuthorizationProvider());
final Errors errorHandler = new Errors(restConfig.getConfiguredInstance(KsqlRestConfig.KSQL_SERVER_ERROR_MESSAGES, ErrorMessages.class));
final ConnectServerErrors connectErrorHandler = loadConnectErrorHandler(ksqlConfig);
final Optional<LagReportingAgent> lagReportingAgent = initializeLagReportingAgent(restConfig, ksqlEngine, serviceContext);
final Optional<HeartbeatAgent> heartbeatAgent = initializeHeartbeatAgent(restConfig, ksqlEngine, serviceContext, lagReportingAgent);
final RoutingFilterFactory routingFilterFactory = initializeRoutingFilterFactory(ksqlConfig, heartbeatAgent, lagReportingAgent);
final RateLimiter pullQueryRateLimiter = new RateLimiter(ksqlConfig.getInt(KsqlConfig.KSQL_QUERY_PULL_MAX_QPS_CONFIG), "pull", metricCollectors.getMetrics(), metricsTags);
final ConcurrencyLimiter pullQueryConcurrencyLimiter = new ConcurrencyLimiter(ksqlConfig.getInt(KsqlConfig.KSQL_QUERY_PULL_MAX_CONCURRENT_REQUESTS_CONFIG), "pull", metricCollectors.getMetrics(), metricsTags);
final SlidingWindowRateLimiter pullBandRateLimiter = new SlidingWindowRateLimiter(ksqlConfig.getInt(KsqlConfig.KSQL_QUERY_PULL_MAX_HOURLY_BANDWIDTH_MEGABYTES_CONFIG), NUM_MILLISECONDS_IN_HOUR, "pull", metricCollectors.getMetrics(), metricsTags);
final SlidingWindowRateLimiter scalablePushBandRateLimiter = new SlidingWindowRateLimiter(ksqlConfig.getInt(KsqlConfig.KSQL_QUERY_PUSH_V2_MAX_HOURLY_BANDWIDTH_MEGABYTES_CONFIG), NUM_MILLISECONDS_IN_HOUR, "push", metricCollectors.getMetrics(), metricsTags);
final DenyListPropertyValidator denyListPropertyValidator = new DenyListPropertyValidator(ksqlConfig.getList(KsqlConfig.KSQL_PROPERTIES_OVERRIDES_DENYLIST));
final Optional<PullQueryExecutorMetrics> pullQueryMetrics = ksqlConfig.getBoolean(KsqlConfig.KSQL_QUERY_PULL_METRICS_ENABLED) ? Optional.of(new PullQueryExecutorMetrics(ksqlEngine.getServiceId(), ksqlConfig.getStringAsMap(KsqlConfig.KSQL_CUSTOM_METRICS_TAGS), Time.SYSTEM, metricCollectors.getMetrics())) : Optional.empty();
final Optional<ScalablePushQueryMetrics> scalablePushQueryMetrics = ksqlConfig.getBoolean(KsqlConfig.KSQL_QUERY_PUSH_V2_ENABLED) ? Optional.of(new ScalablePushQueryMetrics(ksqlEngine.getServiceId(), ksqlConfig.getStringAsMap(KsqlConfig.KSQL_CUSTOM_METRICS_TAGS), Time.SYSTEM, metricCollectors.getMetrics())) : Optional.empty();
final HARouting pullQueryRouting = new HARouting(routingFilterFactory, pullQueryMetrics, ksqlConfig);
final PushRouting pushQueryRouting = new PushRouting();
final Optional<LocalCommands> localCommands = createLocalCommands(restConfig, ksqlEngine);
final QueryExecutor queryExecutor = new QueryExecutor(ksqlEngine, restConfig, ksqlConfig, pullQueryMetrics, scalablePushQueryMetrics, pullQueryRateLimiter, pullQueryConcurrencyLimiter, pullBandRateLimiter, scalablePushBandRateLimiter, pullQueryRouting, pushQueryRouting, localCommands);
final StreamedQueryResource streamedQueryResource = new StreamedQueryResource(ksqlEngine, restConfig, commandStore, Duration.ofMillis(restConfig.getLong(KsqlRestConfig.STREAMED_QUERY_DISCONNECT_CHECK_MS_CONFIG)), Duration.ofMillis(restConfig.getLong(DISTRIBUTED_COMMAND_RESPONSE_TIMEOUT_MS_CONFIG)), versionChecker::updateLastRequestTime, authorizationValidator, errorHandler, denyListPropertyValidator, queryExecutor);
final List<String> managedTopics = new LinkedList<>();
managedTopics.add(commandTopicName);
if (processingLogConfig.getBoolean(ProcessingLogConfig.TOPIC_AUTO_CREATE)) {
managedTopics.add(ProcessingLogServerUtils.getTopicName(processingLogConfig, ksqlConfig));
}
final CommandRunner commandRunner = new CommandRunner(statementExecutor, commandStore, maxStatementRetries, new ClusterTerminator(ksqlEngine, serviceContext, managedTopics), serverState, ksqlConfig.getString(KsqlConfig.KSQL_SERVICE_ID_CONFIG), Duration.ofMillis(restConfig.getLong(KsqlRestConfig.KSQL_COMMAND_RUNNER_BLOCKED_THRESHHOLD_ERROR_MS)), metricsPrefix, InternalTopicSerdes.deserializer(Command.class), errorHandler, internalTopicClient, commandTopicName, metricCollectors.getMetrics());
final KsqlResource ksqlResource = new KsqlResource(ksqlEngine, commandRunner, Duration.ofMillis(restConfig.getLong(DISTRIBUTED_COMMAND_RESPONSE_TIMEOUT_MS_CONFIG)), versionChecker::updateLastRequestTime, authorizationValidator, errorHandler, connectErrorHandler, denyListPropertyValidator);
final List<KsqlServerPrecondition> preconditions = restConfig.getConfiguredInstances(KsqlRestConfig.KSQL_SERVER_PRECONDITIONS, KsqlServerPrecondition.class);
final List<KsqlConfigurable> configurables = ImmutableList.of(ksqlResource, streamedQueryResource, statementExecutor);
final Consumer<KsqlConfig> rocksDBConfigSetterHandler = RocksDBConfigSetterHandler::maybeConfigureRocksDBConfigSetter;
return new KsqlRestApplication(serviceContext, ksqlEngine, ksqlConfig, restConfig, commandRunner, commandStore, statusResource, streamedQueryResource, ksqlResource, versionChecker, ksqlSecurityContextProvider, securityExtension, securityHandlerPlugin, serverState, processingLogContext, preconditions, configurables, rocksDBConfigSetterHandler, heartbeatAgent, lagReportingAgent, vertx, denyListPropertyValidator, pullQueryMetrics, scalablePushQueryMetrics, localCommands, queryExecutor, metricCollectors, internalTopicClient, internalAdmin);
}
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