如何利用Redis和Dart开发分布式文件存储功能

import 'package:redis/redis.dart';

void main() async {
  final client = await RedisClient.connect('redis://localhost:6379');
  
  // 设置键值对
  await client.set('key', 'value');
  
  // 获取键值对
  final value = await client.get('key');

  print(value);  // 输出 'value'
  
  await client.close();
}

import 'package:redis/redis.dart';

void main() async {
  final client = await RedisClient.connect('redis://localhost:6379');
  
  // 读取文件内容
  final fileContent = await readFile('example.jpg');
  
  // 分片存储文件
  final chunkKeys = await storeFile(client, fileContent);
  
  // 根据分片键获取分片内容
  final chunks = await getChunks(client, chunkKeys);
  
  print(chunks);  // 输出文件的所有分片内容
  
  await client.close();
}

Future<List<int>> readFile(String filePath) async {
  // 读取文件内容并返回
}

Future<List<String>> storeFile(RedisClient client, List<int> fileContent) async {
  final chunkSize = 1024; // 每个分片的大小
  final chunkKeys = <String>[]; // 存储分片键的数组
  
  for (var i = 0; i < fileContent.length; i += chunkSize) {
    final chunkData = fileContent.sublist(i, i + chunkSize);
    final chunkKey = 'chunk:$i'; // 分片键的格式为 'chunk:$index'
    
    await client.set(chunkKey, chunkData);
    chunkKeys.add(chunkKey);
  }
  
  return chunkKeys;
}

Future<List<List<int>>> getChunks(RedisClient client, List<String> chunkKeys) async {
  final chunks = <List<int>>[];
  
  for (var chunkKey in chunkKeys) {
    final chunkData = await client.get(chunkKey);
    chunks.add(chunkData);
  }
  
  return chunks;
}