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 * 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
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 *    http://www.apache.org/licenses/LICENSE-2.0
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package org.apache.kafka.connect.runtime;

import org.apache.kafka.connect.runtime.isolation.Plugins;
import org.apache.kafka.connect.runtime.rest.entities.ConfigInfos;
import org.apache.kafka.connect.runtime.rest.entities.ConnectorInfo;
import org.apache.kafka.connect.runtime.rest.entities.ConnectorStateInfo;
import org.apache.kafka.connect.runtime.rest.entities.TaskInfo;
import org.apache.kafka.connect.util.Callback;
import org.apache.kafka.connect.util.ConnectorTaskId;

import java.util.Collection;
import java.util.List;
import java.util.Map;
import java.util.Objects;

/**
 * 

* The herder interface tracks and manages workers and connectors. It is the main interface for external components * to make changes to the state of the cluster. For example, in distributed mode, an implementation of this class * knows how to accept a connector configuration, may need to route it to the current leader worker for the cluster so * the config can be written to persistent storage, and then ensures the new connector is correctly instantiated on one * of the workers. *

*

* This class must implement all the actions that can be taken on the cluster (add/remove connectors, pause/resume tasks, * get state of connectors and tasks, etc). The non-Java interfaces to the cluster (REST API and CLI) are very simple * wrappers of the functionality provided by this interface. *

*

* In standalone mode, this implementation of this class will be trivial because no coordination is needed. In that case, * the implementation will mainly be delegating tasks directly to other components. For example, when creating a new * connector in standalone mode, there is no need to persist the config and the connector and its tasks must run in the * same process, so the standalone herder implementation can immediately instantiate and start the connector and its * tasks. *

*/ public interface Herder { void start(); void stop(); /** * Get a list of connectors currently running in this cluster. This is a full list of connectors in the cluster gathered * from the current configuration. However, note * * @returns A list of connector names * @throws org.apache.kafka.connect.runtime.distributed.RequestTargetException if this node can not resolve the request * (e.g., because it has not joined the cluster or does not have configs in sync with the group) and it is * not the leader or the task owner (e.g., task restart must be handled by the worker which owns the task) * @throws org.apache.kafka.connect.errors.ConnectException if this node is the leader, but still cannot resolve the * request (e.g., it is not in sync with other worker's config state) */ void connectors(Callback> callback); /** * Get the definition and status of a connector. */ void connectorInfo(String connName, Callback callback); /** * Get the configuration for a connector. * @param connName name of the connector * @param callback callback to invoke with the configuration */ void connectorConfig(String connName, Callback> callback); /** * Set the configuration for a connector. This supports creation and updating. * @param connName name of the connector * @param config the connectors configuration, or null if deleting the connector * @param allowReplace if true, allow overwriting previous configs; if false, throw AlreadyExistsException if a connector * with the same name already exists * @param callback callback to invoke when the configuration has been written */ void putConnectorConfig(String connName, Map config, boolean allowReplace, Callback> callback); /** * Delete a connector and its configuration. * @param connName name of the connector * @param callback callback to invoke when the configuration has been written */ void deleteConnectorConfig(String connName, Callback> callback); /** * Requests reconfiguration of the task. This should only be triggered by * {@link HerderConnectorContext}. * * @param connName name of the connector that should be reconfigured */ void requestTaskReconfiguration(String connName); /** * Get the configurations for the current set of tasks of a connector. * @param connName connector to update * @param callback callback to invoke upon completion */ void taskConfigs(String connName, Callback> callback); /** * Set the configurations for the tasks of a connector. This should always include all tasks in the connector; if * there are existing configurations and fewer are provided, this will reduce the number of tasks, and if more are * provided it will increase the number of tasks. * @param connName connector to update * @param configs list of configurations * @param callback callback to invoke upon completion */ void putTaskConfigs(String connName, List> configs, Callback callback); /** * Get a list of connectors currently running in this cluster. * @returns A list of connector names */ Collection connectors(); /** * Get the definition and status of a connector. * @param connName name of the connector */ ConnectorInfo connectorInfo(String connName); /** * Lookup the current status of a connector. * @param connName name of the connector */ ConnectorStateInfo connectorStatus(String connName); /** * Lookup the status of the a task. * @param id id of the task */ ConnectorStateInfo.TaskState taskStatus(ConnectorTaskId id); /** * Validate the provided connector config values against the configuration definition. * @param connectorConfig the provided connector config values */ ConfigInfos validateConnectorConfig(Map connectorConfig); /** * Restart the task with the given id. * @param id id of the task * @param cb callback to invoke upon completion */ void restartTask(ConnectorTaskId id, Callback cb); /** * Restart the connector. * @param connName name of the connector * @param cb callback to invoke upon completion */ void restartConnector(String connName, Callback cb); /** * Restart the connector. * @param delayMs delay before restart * @param connName name of the connector * @param cb callback to invoke upon completion * @returns The id of the request */ HerderRequest restartConnector(long delayMs, String connName, Callback cb); /** * Pause the connector. This call will asynchronously suspend processing by the connector and all * of its tasks. * @param connector name of the connector */ void pauseConnector(String connector); /** * Resume the connector. This call will asynchronously start the connector and its tasks (if * not started already). * @param connector name of the connector */ void resumeConnector(String connector); /** * Returns a handle to the plugin factory used by this herder and its worker. * * @return a reference to the plugin factory. */ Plugins plugins(); /** * Get the cluster ID of the Kafka cluster backing this Connect cluster. * @return the cluster ID of the Kafka cluster backing this connect cluster */ String kafkaClusterId(); enum ConfigReloadAction { NONE, RESTART } class Created { private final boolean created; private final T result; public Created(boolean created, T result) { this.created = created; this.result = result; } public boolean created() { return created; } public T result() { return result; } @Override public boolean equals(Object o) { if (this == o) return true; if (o == null || getClass() != o.getClass()) return false; Created created1 = (Created) o; return Objects.equals(created, created1.created) && Objects.equals(result, created1.result); } @Override public int hashCode() { return Objects.hash(created, result); } } }




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