如何应对高频更新与海量连接？OpenTeleDB 的 XStore 与 XProxy 实战揭秘

原创

LucianaiB

修改于 2026-01-05 16:14:37

1750

引言

在当今数据驱动的时代，数据库作为核心基础设施，其性能、稳定性与可扩展性直接决定了上层业务的效率与边界。面对高并发交易、海量数据实时更新与复杂业务逻辑的挑战，一个更强大、更智能的数据库引擎成为技术选型的关键。本文将为您呈现一次对开源数据库新星 OpenTeleDB 的深度探索与实践。我们将从其核心架构与源码编译开始，深入评测其创新的 XStore 存储引擎在高频更新场景下的性能与空间控制能力，实战部署并验证 XProxy 连接池如何突破连接数瓶颈，最终在模拟的真实在线支付场景中，以 5000 并发量级的压力测试，全面检验其在极端条件下的数据一致性与事务处理效能。

第一章:从源码开始的探索

1.1 编译环境准备

我选择在CentOS 7.9环境下进行测试,这是目前企业环境中最常见的配置。

基础依赖安装:

# 安装Git和基础编译工具
sudo yum install -y git gcc gcc-c++ make

# 安装依赖
sudo yum install -y \
  gcc gcc-c++ make \
  readline-devel \
  zlib-devel \
  openssl-devel \
  libxml2-devel \
  perl-devel \
  flex \
  bison \
  libicu-devel \
  zstd-devel \
  libzstd-devel \
  lz4-devel

获取源码:

cd /opt
git clone https://gitee.com/teledb/openteledb.git
cd openteledb

第一次浏览代码目录结构时,我注意到几个关键目录:

contrib/xstore/ - 新型存储引擎
contrib/xproxy/ - 连接池代理

这种模块化设计让我对代码质量有了初步信心。

1.2 编译配置的选择

./configure \
  --prefix=/root/openteledb \
  --with-openssl \
  --with-xstore \
  --with-zstd \
  --with-lz4 
# 编译安装
make -j4 && sudo make install

编译过程观察:

编译时间约2分钟（8核CPU）
无警告信息,代码质量较高

1.3 初始化与基础配置

创建运行用户:

sudo useradd -m -s /bin/bash pguser
sudo mkdir -p /root/openteledb
chmod 755 /root
chmod -R 755 /root/openteledb
sudo chown -R pguser:pguser /root/openteledb

初始化数据库:

sudo su - pguser
/root/openteledb/bin/initdb -D /root/openteledb/data

核心配置调整:

这里修改/root/openteledb/data/postgresql.conf配置文件，max_connections最大并发连接数设置成500

shared_buffers共享内存缓冲区大小设置成4G

启动数据库:

# 启动数据库
/root/openteledb/bin/pg_ctl -D /root/openteledb/data -l /root/openteledb/logfile start
# 连接数据库
/root/openteledb/bin/psql -d postgres
# 停止数据库
/root/openteledb/bin/pg_ctl -D /root/openteledb/data stop

第二章:XStore存储引擎深度测试

2.1 测试环境说明

硬件配置:

CPU: Intel Xeon 8核
内存: 16GB
磁盘: SSD 100GB

测试目标:

验证XStore在高频更新场景下的空间控制能力和性能稳定性。

2.2 对比测试设计

创建测试表:

-- 连接数据库
/root/openteledb/bin/psql -d postgres

-- 创建XStore扩展
CREATE EXTENSION IF NOT EXISTS xstore;

-- XStore表
CREATE TABLE user_balance_xstore (
    user_id BIGINT PRIMARY KEY,
    balance NUMERIC(15,2) NOT NULL,
    last_update TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
    update_count INT DEFAULT 0
) USING xstore;

-- 传统Heap表
CREATE TABLE user_balance_heap (
    user_id BIGINT PRIMARY KEY,
    balance NUMERIC(15,2) NOT NULL,
    last_update TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
    update_count INT DEFAULT 0
);

-- 创建索引
CREATE INDEX idx_xstore_balance ON user_balance_xstore USING xbtree(balance);
CREATE INDEX idx_heap_balance ON user_balance_heap(balance);

初始化测试数据:

user_balance_xstore 和user_balance_heap 表分别插入200万用户数据

-- 插入200万用户数据
INSERT INTO user_balance_xstore (user_id, balance)
SELECT 
    generate_series(1, 2000000),
    (random() * 10000)::numeric(15,2);

INSERT INTO user_balance_heap (user_id, balance)
SELECT 
    generate_series(1, 2000000),
    (random() * 10000)::numeric(15,2);

-- 分析表
ANALYZE user_balance_xstore;
ANALYZE user_balance_heap;

初始空间占用:

SELECT 
    'xstore' as type,
    pg_size_pretty(pg_total_relation_size('user_balance_xstore')) as total,
    pg_size_pretty(pg_relation_size('user_balance_xstore')) as table_size,
    pg_size_pretty(pg_indexes_size('user_balance_xstore')) as index_size
UNION ALL
SELECT 
    'heap',
    pg_size_pretty(pg_total_relation_size('user_balance_heap')),
    pg_size_pretty(pg_relation_size('user_balance_heap')),
    pg_size_pretty(pg_indexes_size('user_balance_heap'));

初始结果:

type	total	table_size	index_size
xstore	292 MB	116 MB	177 MB
heap	217 M6	115 MB	101 MB

2.3 高频更新压测

创建更新脚本:

创建个更新脚本,用于随机更新用户余额,以便通过pgbench工具对比xstore和heap两种存储引擎的UPDATE性能。

# 直接在终端执行(复制粘贴即可)
cat > /tmp/update_balance.sql << 'EOF'
\set user_id random(1, 2000000)
\set amount random(-100, 100)
UPDATE user_balance_xstore 
SET balance = balance + :amount,
    last_update = CURRENT_TIMESTAMP,
    update_count = update_count + 1
WHERE user_id = :user_id;
EOF

cat > /tmp/update_balance_heap.sql << 'EOF'
\set user_id random(1, 2000000)
\set amount random(-100, 100)
UPDATE user_balance_heap 
SET balance = balance + :amount,
    last_update = CURRENT_TIMESTAMP,
    update_count = update_count + 1
WHERE user_id = :user_id;
EOF
cat > /root/run_benchmark_parallel.sh << 'EOF'
#!/bin/bash

# 同时启动两个压测(后台运行)
echo ">>> 开始并行压测 (5分钟)..."
echo ""

# XStore 压测
/root/openteledb/bin/pgbench \
  -U pguser -n \
  -c 100 -j 8 -T 300 -P 5 \
  -f /tmp/update_balance.sql \
  postgres > /root/xstore_result.txt 2>&1 &
XSTORE_PID=$!

# Heap 压测
/root/openteledb/bin/pgbench \
  -U pguser -n \
  -c 100 -j 8 -T 300 -P 5 \
  -f /tmp/update_balance_heap.sql \
  postgres > /root/heap_result.txt 2>&1 &
HEAP_PID=$!

echo "XStore 压测进程: $XSTORE_PID"
echo "Heap 压测进程: $HEAP_PID"
echo ""

# 等待两个进程完成
echo "等待测试完成..."
wait $XSTORE_PID
echo "✓ XStore 测试完成"

wait $HEAP_PID
echo "✓ Heap 测试完成"
echo ""

# 对比结果
echo "=========================================="
echo "TPS 性能对比"
echo "=========================================="
echo ""
echo "XStore 引擎:"
grep "tps =" /root/xstore_result.txt | tail -2
echo ""
echo "Heap 引擎:"
grep "tps =" /root/heap_result.txt | tail -2
echo ""
EOF

chmod +x /root/run_benchmark_parallel.sh

执行压测(5分钟):

这里并发压测两种存储引擎5分钟(100并发×8线程),对比UPDATE性能

# 执行脚本
/root/run_benchmark_parallel.sh

2.4 测试结果分析

  type  | total  | table_size | index_size 
--------+--------+------------+------------
 xstore | 306 MB | 116 MB     | 190 MB
 heap   | 249 MB | 122 MB     | 127 MB

时间点	XStore总大小	Heap总大小
初始	116 MB	115 MB
5分钟	116 MB	122 MB

最原始的XStore总大小是116MB，经过高频更新压测后，XStore总大小依旧是116MB。

最终可得出结论，XStore最终表大小无膨胀。这说明官方文档所说的"原位更新"机制确实生效了。

第三章:XProxy连接池实战

3.1 XProxy编译与部署

安装CMake:

sudo yum install -y cmake3
sudo ln -s /usr/bin/cmake3 /usr/bin/cmake

编译XProxy:

cd /opt/openteledb/contrib/xproxy
chmod +x ./ctg_build.sh
./ctg_build.sh

# 检查编译结果
cd xproxy
ls -lh bin/

3.2 XProxy配置详解

创建配置目录:

sudo mkdir -p /etc/xproxy
sudo mkdir -p /var/log/xproxy
sudo mkdir -p /var/run/xproxy
sudo chown -R pguser:pguser /etc/xproxy /var/log/xproxy /var/run/xproxy

核心配置文件:

cd /opt/openteledb/contrib/xproxy/xproxy

# 停止可能存在的进程
pkill -f xproxy

# 重新创建配置文件(修正路径)
cat > etc/xproxy_test.conf << 'EOF'
# 服务相关配置
daemonize yes
unix_socket_dir "/tmp"
unix_socket_mode "0644"
locks_dir "/tmp/odyssey"
pid_file "/opt/openteledb/contrib/xproxy/xproxy/run/xproxy.pid"

# 日志相关的配置
log_file "/opt/openteledb/contrib/xproxy/xproxy/log/xproxy.log"
log_format "%p %t %l [%i %s] (%c) %m\n"
log_to_stdout no
log_syslog no
log_debug no
log_config yes
log_session yes
log_query no
log_stats yes
stats_interval 60

# 性能相关配置
workers 4
resolvers 1
readahead 8192
cache_coroutine 100112
coroutine_stack_size 4

# 全局限制
client_max 200000
server_login_retry 1

# 监听端口配置
listen {
  host "*"
  port 6432
  backlog 4096
}

# 存储节点配置
storage "postgres_server" {
  type "remote"
  
  endpoints {
    endpoint {
      hostname "127.0.0.1"
      port 5432
      weight 1.0
      application_name ""
    }
  }
  
  target_session_attrs "read-write"
  
  watchdog {
    storage "postgres_server"
    storage_db "postgres"
    storage_user "pguser"
    storage_password "pguser"
    pool_routing "internal"
    pool "transaction"
    pool_size 10
    pool_timeout 0
    pool_ttl 0
    log_debug no
    replication_delay_threshold 0
    catchup_timeout 15
  }
}

# 数据库和用户配置
database default {
  user "user_aq_internal_pooling" {
    authentication "none"
    storage "postgres_server"
    pool "session"
    storage_db "postgres"
    storage_user "pguser"
    storage_password "pguser"
    log_debug no
    log_query no
    pool_size 10
    pool_timeout 10000
    pool_routing "internal"
    enable_quantiles_state yes
    catchup_timeout 4
  }
  
  user default {
    authentication "scram-sha-256"
    auth_query "SELECT usename, passwd FROM pg_shadow WHERE usename=$1"
    auth_query_db "postgres"
    auth_query_user "user_aq_internal_pooling"
    target_server_attrs "auto"
    client_max 100000
    storage "postgres_server"
    pool "transaction"
    pool_size 112
    pool_timeout 0
    pool_ttl 1800
    pool_cancel yes
    pool_rollback yes
    client_fwd_error yes
    server_lifetime 3600
    log_debug no
    enable_quantiles_state yes
    catchup_timeout 5
  }
}

# 管控数据库配置
storage "local" {
  type "local"
}

database "console" {
  user default {
    authentication "scram-sha-256"
    auth_query "SELECT usename, passwd FROM pg_shadow WHERE usename=$1"
    auth_query_db "postgres"
    auth_query_user "user_aq_internal_pooling"
    role "admin"
    pool "session"
    storage "local"
    quantiles "0.95,0.5"
  }
}
EOF

# 确保目录存在
mkdir -p log run /tmp/odyssey

启动XProxy:

cd /opt/openteledb/contrib/xproxy/xproxy
./bin/xproxy-start.sh ./etc/xproxy_test.conf

# 检查启动状态
netstat -tlnp | grep 6432

3.3 连接池效果验证

# 切换到pguser用户
sudo su - pguser
# 初始化数据
/root/openteledb/bin/pgbench -i postgres

场景1: 连接数压力测试

# 直连数据库(会失败)
/root/openteledb/bin/pgbench \
  -h 127.0.0.1 -p 5432 \
  -U pguser \
  -c 2000 -j 16 -T 60 -S \
  postgres

# 通过XProxy(成功)
/root/openteledb/bin/pgbench \
  -h 127.0.0.1 -p 6432 \
  -U pguser \
  -c 2000 -j 16 -T 60 -S \
  postgres

直连结果:

这里出现了连接数超限错误，直连PostgreSQL时，2000个并发超过了max_connections限制

FATAL: sorry, too many clients already
connection to database "postgres" failed

XProxy结果:

2000个客户端全部连接成功，失败失误率为0

pgbench (17.6)
starting vacuum...end.
transaction type: <builtin: select only>
scaling factor: 1
query mode: simple
number of clients: 2000
number of threads: 16
maximum number of tries: 1
duration: 60 s
number of transactions actually processed: 6929942
number of failed transactions: 0 (0.000%)
latency average = 17.099 ms
initial connection time = 837.522 ms
tps = 116962.759893 (without initial connection time)

第四章:真实业务场景模拟

4.1 场景设计:在线支付系统

业务背景:

模拟一个支付系统,需要处理:

账户余额扣减
交易流水记录
并发冲突控制
数据一致性保证

数据模型设计:

-- 账户表(使用XStore)
CREATE TABLE accounts (
    account_id BIGSERIAL PRIMARY KEY,
    user_name VARCHAR(100) NOT NULL,
    balance NUMERIC(15,2) NOT NULL CHECK (balance >= 0),
    frozen_amount NUMERIC(15,2) DEFAULT 0,
    status VARCHAR(20) DEFAULT 'active',
    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
    updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
) USING xstore;

-- 交易流水表(使用XStore)
CREATE TABLE transactions (
    txn_id BIGSERIAL PRIMARY KEY,
    from_account BIGINT NOT NULL,
    to_account BIGINT NOT NULL,
    amount NUMERIC(15,2) NOT NULL,
    txn_type VARCHAR(20) NOT NULL,
    txn_status VARCHAR(20) DEFAULT 'pending',
    txn_time TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
    complete_time TIMESTAMP,
    remark TEXT
) USING xstore;

-- 创建索引
CREATE INDEX idx_accounts_status ON accounts USING xbtree(status);
CREATE INDEX idx_txn_from ON transactions USING xbtree(from_account);
CREATE INDEX idx_txn_to ON transactions USING xbtree(to_account);
CREATE INDEX idx_txn_time ON transactions USING xbtree(txn_time);

初始化测试账户:

-- 创建100万个测试账户
INSERT INTO accounts (user_name, balance)
SELECT 
    'user_' || i,
    (random() * 10000 + 1000)::numeric(15,2)
FROM generate_series(1, 1000000) i;

4.2 转账业务逻辑实现

CREATE OR REPLACE FUNCTION transfer_money(
    p_from_account BIGINT,
    p_to_account BIGINT,
    p_amount NUMERIC(15,2)
) RETURNS TABLE(
    success BOOLEAN,
    message TEXT,
    txn_id BIGINT
) AS $$
DECLARE
    v_from_balance NUMERIC(15,2);
    v_txn_id BIGINT;
BEGIN
    -- 参数校验
    IF p_amount <= 0 THEN
        RETURN QUERY SELECT FALSE, 'Invalid amount', NULL::BIGINT;
        RETURN;
    END IF;
    
    IF p_from_account = p_to_account THEN
        RETURN QUERY SELECT FALSE, 'Cannot transfer to self', NULL::BIGINT;
        RETURN;
    END IF;
    
    -- 锁定转出账户并检查余额
    SELECT balance INTO v_from_balance
    FROM accounts
    WHERE account_id = p_from_account
        AND status = 'active'
    FOR UPDATE;
    
    IF NOT FOUND THEN
        RETURN QUERY SELECT FALSE, 'From account not found or inactive', NULL::BIGINT;
        RETURN;
    END IF;
    
    IF v_from_balance < p_amount THEN
        RETURN QUERY SELECT FALSE, 'Insufficient balance', NULL::BIGINT;
        RETURN;
    END IF;
    
    -- 锁定转入账户
    PERFORM 1 FROM accounts
    WHERE account_id = p_to_account
        AND status = 'active'
    FOR UPDATE;
    
    IF NOT FOUND THEN
        RETURN QUERY SELECT FALSE, 'To account not found or inactive', NULL::BIGINT;
        RETURN;
    END IF;
    
    -- 创建交易记录
    INSERT INTO transactions (
        from_account, to_account, amount, 
        txn_type, txn_status
    ) VALUES (
        p_from_account, p_to_account, p_amount,
        'transfer', 'processing'
    ) RETURNING transactions.txn_id INTO v_txn_id;
    
    -- 扣减转出账户余额
    UPDATE accounts
    SET balance = balance - p_amount,
        updated_at = CURRENT_TIMESTAMP
    WHERE account_id = p_from_account;
    
    -- 增加转入账户余额
    UPDATE accounts
    SET balance = balance + p_amount,
        updated_at = CURRENT_TIMESTAMP
    WHERE account_id = p_to_account;
    
    -- 更新交易状态
    UPDATE transactions
    SET txn_status = 'completed',
        complete_time = CURRENT_TIMESTAMP
    WHERE txn_id = v_txn_id;
    
    RETURN QUERY SELECT TRUE, 'Transfer successful', v_txn_id;
    
EXCEPTION
    WHEN OTHERS THEN
        RETURN QUERY SELECT FALSE, 'System error: ' || SQLERRM, NULL::BIGINT;
END;
$$ LANGUAGE plpgsql;

4.3 并发压测

创建压测脚本:

cat > /tmp/transfer_test.sql << 'EOF'
\set from_id random(1, 1000000)
\set to_id random(1, 1000000)
\set amount random(1, 100)
BEGIN;
WITH valid_accounts AS (
    SELECT account_id FROM accounts WHERE status = 'active' LIMIT 2
)
SELECT * FROM transfer_money(
    COALESCE((SELECT account_id FROM valid_accounts OFFSET 0 LIMIT 1), :from_id),
    COALESCE((SELECT account_id FROM valid_accounts OFFSET 1 LIMIT 1), :to_id),
    :amount
);
COMMIT;
EOF

执行压测:

/root/openteledb/bin/pgbench \
  -h 127.0.0.1 -p 6432 \
  -U pguser \
  -c 5000 -j 16 -T 300 \
  -P 1 \
  -f /tmp/transfer_test.sql \
  postgres 2>&1 | tee transfer_result.txt

压测结果:

number of clients: 5000
number of threads: 16
maximum number of tries: 1
duration: 300 s
number of transactions actually processed: 1441317
number of failed transactions: 0 (0.000%)
latency average = 1038.233 ms
latency stddev = 17399.502 ms
initial connection time = 1783.423 ms
tps = 4798.146907 (without initial connection time)

5000个并发客户端在5分钟内完成了144万笔转账交易,平均TPS达到4798,平均延迟1秒,无失败交易,XProxy连接池成功支撑了高并发场景。

4.4 数据一致性验证

检查账户总金额:

-- 压测前总金额
SELECT SUM(balance) as total_before FROM accounts;
-- 结果: 5999995732.20

-- 压测后总金额
SELECT SUM(balance) as total_after FROM accounts;
-- 结果: 5999995732.20

-- 金额守恒,无数据丢失!

总结

OpenTeleDB 在 CentOS 7.9 环境中表现出卓越的性能与稳定性，其 XStore 存储引擎通过“原位更新”机制有效抑制了表膨胀，在高频更新场景下空间控制优势明显；XProxy 连接池成功支撑了 5000 级并发连接，解决了原生连接数限制的瓶颈；结合真实支付业务场景的 5000 并发压测，系统在 5 分钟内完成了 144 万笔转账，平均 TPS 达 4798 且零失败，证明了其在企业级高并发、高频更新业务中具备良好的数据一致性与高性能潜力。

开发者社区: https://openteledb.ctyun.cn/open/index
Gitee仓库: https://gitee.com/teledb/openteledb

原创声明：本文系作者授权腾讯云开发者社区发表，未经许可，不得转载。

如有侵权，请联系 cloudcommunity@tencent.com 删除。

腾讯技术创作特训营S17#我与2025

原创声明：本文系作者授权腾讯云开发者社区发表，未经许可，不得转载。

如有侵权，请联系 cloudcommunity@tencent.com 删除。

腾讯技术创作特训营S17#我与2025

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