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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
*
* 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.
*/
/*
* Licensed under the Apache License, Version 2.0
* See accompanying LICENSE file.
*/
angular.module('dashboard')
/**
* You can override any values below in your application
*/
.constant('i18n', {
terminology: {
master: 'Every cluster has one or more Master node. Master node is responsible to manage global resources of the cluster.',
worker: 'Worker node is responsible to manage local resources on single machine',
workerExecutor: 'Executor JVMs running on current worker node.',
appClock: 'Application clock tracks minimum clock of all message timestamps. Message timestamp is immutable since birth. It denotes the moment when message is generated.',
appExecutor: 'In runtime, every application instance is represented by a single AppMaster and a list of Executors. AppMaster represents the command and controls center of the Application instance. It communicates with user, master, worker, and executor to get the job done. Each executor is a parallel unit for distributed application. Typically AppMaster and Executor will be started as JVM processes on worker nodes.',
processor: 'For streaming application type, each application contains a topology, which is a DAG (directed acyclic graph) to describe the data flow. Each node in the DAG is a processor.',
task: 'For streaming application type, Task is the minimum unit of parallelism. In runtime, each Processor is paralleled to a list of tasks, with different tasks running in different executor.'
}
})
;