import hashlib

# 散列表实现
class HashTable:
    def __init__(self, size=1024):
        self.size = size
        self.table = [None] * self.size

    def _hash(self, key):
        return hash(key) % self.size

    def set(self, key, value):
        key_hash = self._hash(key)
        if self.table[key_hash] is None:
            self.table[key_hash] = []
        self.table[key_hash].append((key, value))

    def get(self, key):
        key_hash = self._hash(key)
        for item in self.table[key_hash]:
            if item[0] == key:
                return item[1]
        return None

# 布隆过滤器实现
class BloomFilter:
    def __init__(self, size=1024, hash_count=5):
        self.size = size
        self.hash_count = hash_count
        self.bit_array = [False] * self.size

    def _hash(self, key):
        return hash(key) % self.size

    def add(self, key):
        for seed in range(self.hash_count):
            index = self._hash(f"{key}-{seed}")
            self.bit_array[index] = True

    def check(self, key):
        exists = True
        for seed in range(self.hash_count):
            index = self._hash(f"{key}-{seed}")
            exists = exists and self.bit_array[index]
        return exists

# 散列表示例
ht = HashTable()
ht.set('apple', 'iPhone')
print(ht.get('apple'))  # 输出: iPhone

# 布隆过滤器示例
bf = BloomFilter()
bf.add('apple')
print('apple' in bf)  # 输出: True
print('android' in bf)  # 输出: False

-- 假设我们有两个数据库，一个是本地数据库 LocalDB，一个是远程数据库 RemoteDB
-- 我们想要查询远程数据库中的某个表，并将结果合并到本地数据库的查询中

-- 首先，配置分布式查询
EXEC sp_addlinkedserver
    @server = 'RemoteDB', -- 远程数据库服务器名称或IP
    @srvproduct = '';

EXEC sp_addlinkedsrvlogin
    @rmtsrvname = 'RemoteDB',
    @useself = 'FALSE',
    @locallogin = NULL,
    @rmtuser = 'RemoteUser', -- 远程数据库用户名
    @rmtpassword = 'RemotePassword'; -- 远程数据库用户密码

-- 查询远程数据库的表，并联合本地数据库的数据
SELECT L.*, R.*
FROM LocalDB.dbo.LocalTable L
LEFT JOIN RemoteDB.dbo.RemoteTable R ON L.JoinKey = R.JoinKey;

-- 查询完成后，可以删除配置的分布式查询链接
EXEC sp_dropserver 'RemoteDB', 'droplogins';

<dependencies>
    <!-- Spring Cloud Sleuth -->
    <dependency>
        <groupId>org.springframework.cloud</groupId>
        <artifactId>spring-cloud-starter-sleuth</artifactId>
    </dependency>

    <!-- 其他依赖... -->
</dependencies>

java -jar zipkin.jar

# application.properties
spring.zipkin.base-url=http://localhost:9411
spring.sleuth.sampler.probability=1.0 # 记录所有请求，可以根据需要调整采样率

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.cloud.sleuth.Tracer;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RestController;

@RestController
public class TraceController {

    private static final Logger log = LoggerFactory.getLogger(TraceController.class);

    @Autowired
    private Tracer tracer;

    @GetMapping("/trace")
    public String trace() {
        log.info("Trace information: {}", tracer.getCurrentSpan());
        return "Trace information: " + tracer.getCurrentSpan();
    }
}

# 假设使用Redis作为分布式消息队列
import redis
from websocket_server import WebsocketServer

# 连接Redis
r = redis.Redis(host='localhost', port=6379, db=0)

# 订阅Redis频道
def subscribe_to_redis_channel(channel):
    pubsub = r.pubsub()
    pubsub.subscribe(channel)
    for message in pubsub.listen():
        if message['type'] == 'message':
            on_message(message['data'])

# 当收到消息时，处理并发送给所有WebSocket客户端
def on_message(message):
    server.send_message_to_all(message)

# 创建WebSocket服务器
server = WebsocketServer('', 8000)
server.set_fn_message_received(lambda ws, message: r.publish('websockets', message))

# 在另一个线程中订阅Redis频道
subscribe_thread = threading.Thread(target=subscribe_to_redis_channel, args=('websockets',))
subscribe_thread.daemon = True
subscribe_thread.start()

# 启动WebSocket服务器
server.run_forever()

# 使用基础镜像
FROM ubuntu:18.04

# 安装依赖
RUN apt-get update && apt-get install -y \
    rsync \
    python3-pip \
    && rm -rf /var/lib/apt/lists/*

# 安装并升级 dbox 客户端
RUN pip3 install --upgrade dboxcli

# 创建 dbox 配置目录
RUN mkdir -p /root/.dboxcli

# 设置工作目录
WORKDIR /data

# 设置环境变量
ENV DBOX_DIR /root/.dboxcli

# 将同步配置文件复制到容器内
COPY dbox.cfg $DBOX_DIR/dbox.cfg

# 设置入口点
ENTRYPOINT ["dboxsync"]

// Apache Flink 示例
import org.apache.flink.streaming.api.scala._

object FlinkExample {
  def main(args: Array[String]): Unit = {
    val env = StreamExecutionEnvironment.getExecutionEnvironment
    val dataStream = env.fromElements(1, 2, 3, 4, 5)
    dataStream.map(_ * 2).print()
    env.execute("Flink Example")
  }
}

// Apache Spark Streaming 示例
import org.apache.spark.SparkConf
import org.apache.spark.streaming.{Seconds, StreamingContext}

object SparkStreamingExample {
  def main(args: Array[String]): Unit = {
    val conf = new SparkConf().setAppName("Spark Streaming Example")
    val ssc = new StreamingContext(conf, Seconds(1))
    val dataDStream = ssc.queueStream(ssc.sparkContext.makeRDD(List(1, 2, 3, 4, 5)))
    dataDStream.map(_ * 2).print()
    ssc.start()
    ssc.awaitTermination()
  }
}

version: '3'
services:
  elasticsearch:
    image: docker.elastic.co/elasticsearch/elasticsearch:7.10.0
    environment:
      - discovery.type=single-node
    volumes:
      - esdata1:/usr/share/elasticsearch/data
    ports:
      - "9200:9200"
    networks:
      - efk-net

  fluentd:
    image: fluent/fluentd:latest
    volumes:
      - ./fluentd/conf:/fluentd/etc
    links:
      - elasticsearch
    depends_on:
      - elasticsearch
    networks:
      - efk-net

  kibana:
    image: docker.elastic.co/kibana/kibana:7.10.0
    environment:
      - ELASTICSEARCH_URL=http://elasticsearch:9200
    ports:
      - "5601:5601"
    depends_on:
      - elasticsearch
    networks:
      - efk-net

volumes:
  esdata1:
    driver: local

networks:
  efk-net:
    driver: bridge

from authlib.integrations.flask_client import OAuth
from flask import Flask, redirect, url_for, session

app = Flask(__name__)
app.secret_key = '!'

oauth = OAuth(app)

@app.route('/')
def index():
    if 'user' in session:
        return 'Logged in as %s' % session['user']
    return redirect(url_for('login'))

@app.route('/login')
def login():
    # 触发OAuth认证流程
    return oauth.openid.authorize_redirect(redirect_uri='/authorized')

@app.route('/authorized')
def authorized():
    # 用户同意授权后，获取令牌
    token = oauth.openid.authorize_access_token()
    # 获取用户信息
    user_info = oauth.openid.parse_id_token(token)
    session['user'] = user_info
    return redirect(url_for('index'))

if __name__ == '__main__':
    app.run()