/* * Copyright 1999-2015 dangdang.com. * <p> * Licensed 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. * </p> */ package com.dangdang.ddframe.job.cloud.scheduler.context; import com.dangdang.ddframe.job.cloud.scheduler.config.job.CloudJobConfiguration; import com.dangdang.ddframe.job.context.ExecutionType; import lombok.Getter; import lombok.RequiredArgsConstructor; import java.util.ArrayList; import java.util.List; /** * 作业运行上下文. * * @author zhangliang */ @RequiredArgsConstructor @Getter public final class JobContext { private final CloudJobConfiguration jobConfig; private final List<Integer> assignedShardingItems; private final ExecutionType type; /** * 通过作业配置创建作业运行上下文. * * @param jobConfig 作业配置 * @param type 执行类型 * @return 作业运行上下文 */ public static JobContext from(final CloudJobConfiguration jobConfig, final ExecutionType type) { int shardingTotalCount = jobConfig.getTypeConfig().getCoreConfig().getShardingTotalCount(); List<Integer> shardingItems = new ArrayList<>(shardingTotalCount); for (int i = 0; i < shardingTotalCount; i++) { shardingItems.add(i); } return new JobContext(jobConfig, shardingItems, type); } }