Bigtable使用Paxos算法来处理网络分区问题。当网络分区发生时，系统会自动进行一系列的失败转移操作，使得在网络分区后仍可以对数据进行写入和读取。在通过Paxos算法选举出新的主节点后，原主节点的数据将通过数据复制机制进行同步，以保证数据的一致性。下面给出使用Paxos算法实现的代码示例：

public class Paxos {

    private final static int DEFAULT_PORT = 8888;
    private final static int DEFAULT_RETRIES = 3;
    private final static int DEFAULT_TIMEOUT = 2000;

    enum ProposalType {
        NORMAL, PREPARE, PROMISE, ACCEPT, ACCEPTED
    }

    class Proposal {
        ProposalType type;
        String value;
        int ballotNumber;
        int nodeID;

        public Proposal(ProposalType type, String value, int ballotNumber, int nodeID) {
            this.type = type;
            this.value = value;
            this.ballotNumber = ballotNumber;
            this.nodeID = nodeID;
        }
    }

    interface Network {

        void send(int nodeID, String message);

        String receive(int nodeID);
    }

    Network network;

    int nodeID;
    int quorumSize;
    int retries = DEFAULT_RETRIES;
    int timeout = DEFAULT_TIMEOUT;

    int ballotNumber = 0;
    String acceptedValue = null;
    int acceptedBallotNumber = -1;

    public Paxos(int nodeID, int quorumSize, Network network) {
        this.nodeID = nodeID;
        this.quorumSize = quorumSize;
        this.network = network;
    }

    public void run() {
        while (true) {
            int latency = 0;
            Proposal proposal = new Proposal(ProposalType.PREPARE, acceptedValue, ballotNumber + 1, nodeID);
            int promiseCount = 0;
            int maxBallot = -1;
            List promises = new ArrayList();
            for (int i = 0; i < quorumSize; i++) {
                if (i == nodeID) {
                    continue;