以下是Java实现的任务分片调度器完整解决方案，包含任务分片、并发执行、分批处理和自动重试机制：

import java.util.*;

import java.util.concurrent.*;

import java.util.function.Function;

public class TaskChunkScheduler<T, R> {

    private final ExecutorService executor;

    private final int batchSize;

    private final int maxRetries;

    private final long retryDelayMs;

    public TaskChunkScheduler(int threadCount, int batchSize, 

                            int maxRetries, long retryDelayMs) {

        this.executor = Executors.newFixedThreadPool(threadCount);

        this.batchSize = batchSize;

        this.maxRetries = maxRetries;

        this.retryDelayMs = retryDelayMs;

    }

    public List<R> execute(List<T> tasks, Function<T, R> processor) 

            throws InterruptedException {

        List<Future<R>> futures = new ArrayList<>();

        List<List<T>> batches = partition(tasks, batchSize);

        for (List<T> batch : batches) {

            for (T task : batch) {

                futures.add(executor.submit(() -> 

                    processWithRetry(task, processor)));

            }

        }

        return getResults(futures);

    }

    private R processWithRetry(T task, Function<T, R> processor) {

        int attempts = 0;

        while (true) {

            try {

                return processor.apply(task);

            } catch (Exception e) {

                if (++attempts > maxRetries) {

                    throw new RuntimeException("Max retries exceeded", e);

                }

                try {

                    Thread.sleep(retryDelayMs);

                } catch (InterruptedException ie) {

                    Thread.currentThread().interrupt();

                    throw new RuntimeException("Retry interrupted", ie);

                }

            }

        }

    }

    private static <T> List<List<T>> partition(List<T> list, int size) {

        List<List<T>> partitions = new ArrayList<>();

        for (int i = 0; i < list.size(); i += size) {

            partitions.add(list.subList(i, Math.min(i + size, list.size())));

        }

        return partitions;

    }

    private List<R> getResults(List<Future<R>> futures) 

            throws InterruptedException {

        List<R> results = new ArrayList<>();

        for (Future<R> future : futures) {

            try {

                results.add(future.get());

            } catch (ExecutionException e) {

                throw new RuntimeException("Task execution failed", e);

            }

        }

        return results;

    }

    public void shutdown() {

        executor.shutdown();

    }

}

@FunctionalInterface

public interface TaskProcessor<T, R> {

    R process(T task) throws Exception;

}

public class SchedulerDemo {

    public static void main(String[] args) throws Exception {

        List<Integer> tasks = Arrays.asList(1, 2, 3, 4, 5, 6, 7, 8, 9, 10);

        TaskChunkScheduler<Integer, String> scheduler = new TaskChunkScheduler<>(

            4,  // 线程数

            3,  // 每批处理数量

            3,  // 最大重试次数

            1000 // 重试间隔(ms)

        );

        List<String> results = scheduler.execute(tasks, task -> {

            // 模拟处理逻辑

            if (task % 3 == 0) {

                throw new RuntimeException("模拟失败");

            }

            return "Processed-" + task;

        });

        System.out.println(results);

        scheduler.shutdown();

    }

}

代码说明：该调度器实现任务分片处理、并发执行和自动重试机制。主类TaskChunkScheduler提供线程池管理，支持自定义批次大小和重试策略。TaskProcessor定义任务处理接口，SchedulerDemo展示完整使用示例。