dongjoon-hyun commented on code in PR #29: URL: https://github.com/apache/spark-kubernetes-operator/pull/29#discussion_r1700722753
########## spark-operator/src/main/java/org/apache/spark/k8s/operator/SparkOperator.java: ########## @@ -0,0 +1,223 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, + * software distributed under the License is distributed on an + * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY + * KIND, either express or implied. See the License for the + * specific language governing permissions and limitations + * under the License. + */ + +package org.apache.spark.k8s.operator; + +import static org.apache.spark.k8s.operator.utils.Utils.getAppStatusListener; +import static org.apache.spark.k8s.operator.utils.Utils.getWatchedNamespaces; + +import java.util.ArrayList; +import java.util.Collections; +import java.util.HashSet; +import java.util.List; +import java.util.Set; +import java.util.concurrent.ExecutorService; +import java.util.concurrent.Executors; + +import io.fabric8.kubernetes.client.KubernetesClient; +import io.javaoperatorsdk.operator.Operator; +import io.javaoperatorsdk.operator.RegisteredController; +import io.javaoperatorsdk.operator.api.config.ConfigurationServiceOverrider; +import io.javaoperatorsdk.operator.api.config.ControllerConfigurationOverrider; +import lombok.extern.slf4j.Slf4j; +import okhttp3.Interceptor; + +import org.apache.spark.k8s.operator.client.KubernetesClientFactory; +import org.apache.spark.k8s.operator.config.SparkOperatorConf; +import org.apache.spark.k8s.operator.config.SparkOperatorConfigMapReconciler; +import org.apache.spark.k8s.operator.metrics.MetricsService; +import org.apache.spark.k8s.operator.metrics.MetricsSystem; +import org.apache.spark.k8s.operator.metrics.MetricsSystemFactory; +import org.apache.spark.k8s.operator.metrics.healthcheck.SentinelManager; +import org.apache.spark.k8s.operator.metrics.source.KubernetesMetricsInterceptor; +import org.apache.spark.k8s.operator.metrics.source.OperatorJosdkMetrics; +import org.apache.spark.k8s.operator.probe.ProbeService; +import org.apache.spark.k8s.operator.reconciler.SparkAppReconciler; +import org.apache.spark.k8s.operator.utils.SparkAppStatusRecorder; + +/** + * Entry point for Spark Operator. Bootstrap the operator app by starting watch & reconciler for + * SparkApps, starting watch for hot property loading, if enabled, and starting metrics server with + * sentinel monitor if enabled + */ +@Slf4j +public class SparkOperator { + private final List<Operator> registeredOperators; + private final KubernetesClient client; + private final SparkAppSubmissionWorker appSubmissionWorker; + private final SparkAppStatusRecorder sparkAppStatusRecorder; + protected Set<RegisteredController<?>> registeredSparkControllers; + protected Set<String> watchedNamespaces; + private final MetricsSystem metricsSystem; + private final SentinelManager<SparkApplication> sparkApplicationSentinelManager; + private final ProbeService probeService; + private final MetricsService metricsService; + private final ExecutorService metricsResourcesSingleThreadPool; + + public SparkOperator() { + this.metricsSystem = MetricsSystemFactory.createMetricsSystem(); + this.client = + KubernetesClientFactory.buildKubernetesClient(getClientInterceptors(metricsSystem)); + this.appSubmissionWorker = new SparkAppSubmissionWorker(); + this.sparkAppStatusRecorder = new SparkAppStatusRecorder(getAppStatusListener()); + this.registeredSparkControllers = new HashSet<>(); + this.watchedNamespaces = getWatchedNamespaces(); + this.sparkApplicationSentinelManager = new SentinelManager<>(); + this.registeredOperators = new ArrayList<>(); + this.registeredOperators.add(registerSparkOperator()); + if (SparkOperatorConf.DYNAMIC_CONFIG_ENABLED.getValue()) { + this.registeredOperators.add(registerSparkOperatorConfMonitor()); + } + this.metricsResourcesSingleThreadPool = Executors.newSingleThreadExecutor(); + this.probeService = + new ProbeService( + registeredOperators, Collections.singletonList(sparkApplicationSentinelManager), null); + this.metricsService = new MetricsService(metricsSystem, metricsResourcesSingleThreadPool); + } + + protected Operator registerSparkOperator() { + Operator op = new Operator(this::overrideOperatorConfigs); + registeredSparkControllers.add( + op.register( + new SparkAppReconciler( + appSubmissionWorker, sparkAppStatusRecorder, sparkApplicationSentinelManager), + this::overrideControllerConfigs)); + return op; + } + + protected Operator registerSparkOperatorConfMonitor() { + Operator op = new Operator(this::overrideConfigMonitorConfigs); + String operatorNamespace = SparkOperatorConf.OPERATOR_NAMESPACE.getValue(); + String confSelector = SparkOperatorConf.DYNAMIC_CONFIG_SELECTOR.getValue(); + log.info( + "Starting conf monitor in namespace: {}, with selector: {}", + operatorNamespace, + confSelector); + op.register( + new SparkOperatorConfigMapReconciler( + this::updateWatchingNamespaces, + SparkOperatorConf.OPERATOR_NAMESPACE.getValue(), + unused -> getWatchedNamespaces()), + c -> { + c.withRateLimiter(SparkOperatorConf.getOperatorRateLimiter()); + c.settingNamespaces(operatorNamespace); + c.withLabelSelector(confSelector); + }); + return op; + } + + protected boolean updateWatchingNamespaces(Set<String> namespaces) { + if (watchedNamespaces.equals(namespaces)) { + log.info("No watched namespace change detected"); + return false; + } + if (watchedNamespaces.isEmpty()) { + log.info("Cannot update watch namespaces for operator started at cluster level."); + return false; + } + if (namespaces == null || namespaces.isEmpty()) { + log.error("Cannot updating namespaces to empty"); + return false; + } + registeredSparkControllers.forEach( + c -> { + if (c.allowsNamespaceChanges()) { + log.info("Updating operator namespaces to {}", namespaces); + c.changeNamespaces(namespaces); + } else { + log.error("Controller does not allow namespace change, skipping namespace change."); + } + }); + this.watchedNamespaces = new HashSet<>(namespaces); + return true; + } + + protected void overrideOperatorConfigs(ConfigurationServiceOverrider overrider) { + overrider.withKubernetesClient(client); + overrider.withStopOnInformerErrorDuringStartup( + SparkOperatorConf.TERMINATE_ON_INFORMER_FAILURE_ENABLED.getValue()); + overrider.withTerminationTimeoutSeconds( + SparkOperatorConf.RECONCILER_TERMINATION_TIMEOUT_SECONDS.getValue()); + int parallelism = SparkOperatorConf.RECONCILER_PARALLELISM.getValue(); + if (parallelism > 0) { + log.info("Configuring operator with {} reconciliation threads.", parallelism); + overrider.withConcurrentReconciliationThreads(parallelism); + } else { + log.info("Configuring operator with unbounded reconciliation thread pool."); + overrider.withExecutorService(Executors.newCachedThreadPool()); + } + if (SparkOperatorConf.LEADER_ELECTION_ENABLED.getValue()) { + overrider.withLeaderElectionConfiguration(SparkOperatorConf.getLeaderElectionConfig()); + } + if (SparkOperatorConf.JOSDK_METRICS_ENABLED.getValue()) { + log.info("Adding Operator JosdkMetrics to metrics system."); + OperatorJosdkMetrics operatorJosdkMetrics = new OperatorJosdkMetrics(); + overrider.withMetrics(operatorJosdkMetrics); + metricsSystem.registerSource(operatorJosdkMetrics); + } + } + + protected void overrideConfigMonitorConfigs(ConfigurationServiceOverrider overrider) { + overrider.withKubernetesClient(client); + overrider.withConcurrentReconciliationThreads( + SparkOperatorConf.DYNAMIC_CONFIG_RECONCILER_PARALLELISM.getValue()); + overrider.withStopOnInformerErrorDuringStartup(true); + overrider.withCloseClientOnStop(false); + overrider.withInformerStoppedHandler( + (informer, ex) -> + log.error("Dynamic config informer stopped: operator will not accept config updates.")); + } + + protected void overrideControllerConfigs(ControllerConfigurationOverrider<?> overrider) { + if (watchedNamespaces.isEmpty()) { + log.info("Initializing operator watching at cluster level."); + } else { + log.info("Initializing with watched namespaces {}", watchedNamespaces); + } + overrider.settingNamespaces(watchedNamespaces); + overrider.withRateLimiter(SparkOperatorConf.getOperatorRateLimiter()); + overrider.withRetry(SparkOperatorConf.getOperatorRetry()); + } + + protected List<Interceptor> getClientInterceptors(MetricsSystem metricsSystem) { + List<Interceptor> clientInterceptors = new ArrayList<>(); + if (SparkOperatorConf.KUBERNETES_CLIENT_METRICS_ENABLED.getValue()) { + KubernetesMetricsInterceptor metricsInterceptor = new KubernetesMetricsInterceptor(); + clientInterceptors.add(metricsInterceptor); + metricsSystem.registerSource(metricsInterceptor); + } + return clientInterceptors; + } + + /** + * Bootstrap Spark Operator + * + * @param args not used - operator behavior are configured from SparkOperatorConf Review Comment: Thank you for adding this comment. -- This is an automated message from the Apache Git Service. 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