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package com.github.wangchenning.springbootelaticjob.job;

import com.dangdang.ddframe.job.api.ShardingContext;
import com.dangdang.ddframe.job.api.dataflow.DataflowJob;
import com.github.wangchenning.autoconfig.ElasticDataflowJob;
import lombok.extern.slf4j.Slf4j;

import java.util.ArrayList;
import java.util.List;

@Slf4j
@ElasticDataflowJob(jobName = "myDataflowJob",
        corn = "0/10 * * * * ?", shardingTotalCount = 2, overwrite = true, streamingProcess = true)
public class MyDataflowJob implements DataflowJob {
    private List list = new ArrayList<>();

    {
        list.add(0);
        list.add(1);
        list.add(2);
        list.add(3);
        list.add(4);
        list.add(5);
        list.add(6);
        list.add(7);
        list.add(8);
        list.add(9);
    }

    @Override
    public List fetchData(ShardingContext shardingContext) {
        List returnList = new ArrayList<>();
        for (Integer index :
                list) {
            if (index % shardingContext.getShardingTotalCount() == shardingContext.getShardingItem()) {
                returnList.add(index);
                break;
            }
        }
        try {
            Thread.sleep(3000);
        } catch (InterruptedException e) {

        }
        log.info("我是分片项：" + shardingContext.getShardingItem() + ",我获取的数据是：" + returnList);
        return returnList;
    }

    @Override
    public void processData(ShardingContext shardingContext, List list1) {
        list.removeAll(list1);
        try {
            Thread.sleep(5000);
        } catch (InterruptedException e) {
            e.printStackTrace();
        }
        log.info("我是分片项：" + shardingContext.getShardingItem() + ",我处理的数据是" + list1);
    }
}