数据批处理（队列方式）
public class DataProcessor {private static final int THREAD_COUNT = 4;private static final int QUEUE_SIZE = 10;private LinkedBlockingQueue<Data> queue = new LinkedBlockingQueue<>(QUEUE_SIZE);public DataProcessor() {ExecutorService executor = Executors.newFixedThreadPool(THREAD_COUNT);for (int i = 0; i < THREAD_COUNT; i++) {executor.execute(() -> {try {while (true) {Data data = queue.take();processData(data);}} catch (InterruptedException e) {Thread.currentThread().interrupt();}});}}public void addData(Data data) {try {queue.put(data);} catch (InterruptedException e) {Thread.currentThread().interrupt();}}private void processData(Data data) {// Process data hereSystem.out.println("Processing data: " + data);}public static void main(String[] args) {DataProcessor processor = new DataProcessor();// Add data to be processedfor (int i = 0; i < 20; i++) {Data data = new Data("Data " + i);processor.addData(data);}}static class Data {private String value;public Data(String value) {this.value = value;}@Overridepublic String toString() {return value;}}}
参考网址：
一：https://blog.csdn.net/zhizhengguan/article/details/86551270
二：https://blog.csdn.net/qq_41128049/article/details/134442487
数据批处理入库（线程池方式）
public void reSync() {// 超过半小时状态为1的数据状态重置0Date date = DateUtil.getAddMinuteDate(new Date(), -30);baseMapper.resetTimeoutStatus(date);// 查询推送失败且失败次数小于6次的List<CardRecordSync> list = baseMapper.listFail();if (list.isEmpty()) {return;}log.info("待处理补推记录数size={}", list.size());List<List<CardRecordSync>> partition = Lists.partition(list, 100);for (List<CardRecordSync> syncs : partition) {executor.execute(() -> {List<Long> ids = syncs.stream().map(CardRecordSync::getId).collect(Collectors.toList());// 状态变更为处理中EntityWrapper<CardRecordSync> wrapper = new EntityWrapper<>();wrapper.in("ID", ids);CardRecordSync po = new CardRecordSync();po.setStatus(CardRecordSyncStatus.PUSHING.getStatus());baseMapper.update(po, wrapper);syncs.forEach(record -> {
// boolean flag = thirdService.cardRecordSync(record.getSyncParam());DataSyncResult dataSyncResult = thirdService.cardRecordSync(record.getSyncParam());boolean flag = dataSyncResult.isDataSyncSuc();int status = CardRecordSyncStatus.FAIL.getStatus();if (flag) {status = CardRecordSyncStatus.SUCCESS.getStatus();}baseMapper.updateStatusDescById(dataSyncResult.getDataSyncSucDesc(),status, record.getId());});});}}