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We use the time wheel algorithm to complete the scheduling and triggering of periodic tasks. The implementation of the time wheel algorithm refers to netty's HashedWheelTimer. We will periodically (10 minutes by default) put the events that need to be triggered in the future cycle into the time wheel for periodic scheduling. In order to ensure the efficient triggering of tasks and avoid task blocking and subsequent task scheduling delays, we use Disruptor to implement the production and consumption model. When the task expires and needs to be triggered, the task will be put into the RingBuffer of the Disruptor, and then the consumer thread will consume the task. Consumers need to register for events, and event registration needs to provide event executors. Event executors are a functional interface with only one method for executing events. If it is a single event, the event definition will be deleted after the scheduling is completed; if it is a periodic event, it will be put back into the time wheel according to the periodic scheduling after the scheduling is completed.
# 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. # fe-common This module is used to store some common classes of other modules. # spark-dpp This module is Spark DPP program, used for Spark Load function. Depends: fe-common # fe-core This module is the main process module of FE. Depends: fe-common, spark-dpp