之前看到的TiDB和MySql的性能对比都是大量短耗时请求下的压测，单机情况下TiDB和MySql的确有些差距，不过笔者最近碰到的场景更多是sql要扫描的行数不小的情况下单sql比较耗时的问题，所以自己做了个简单测试这类型sql的耗时。
TiDB单机环境部署
git clone https://github.com/pingcap/tidb-docker-compose.git # 下载
cd tidb-docker-compose && docker-compose pull # 拉取镜像
docker-compose up -d # 启动
命令行客户端连接方式
mysql -h 127.0.0.1 -P 4000 -u root
测试
表结构
create table testTable (
`id` int(10) unsigned auto_increment primary key,
`uid` int(10) not null default 0,
`day` int(6) not null default 0,
`field1` varchar(16) not null default '',
`field2` tinyint(3) not null default 0,
`field3` tinyint(3) not null default 0,
`field4` tinyint(3) not null default 0,
`field5` varchar(32) not null default '',
`field6` varchar(32) not null default '',
`field7` varchar(32) not null default '',
key `uid_day_idx` (`uid`,`day`,`field1`, `field3`)
) engine=InnoDB default charset=utf8;
插入数据
5000个随机的uid
day 平均分布在20190801~20190830
filed1 随机取'a0' ~ 'a9'
field3 随机取0~10
插入数据脚本
$maxRecordNum = 10000000;
$tableName = 'testTable';
$host = '127.0.0.1';
$port = '4000';
$dbname = 'test';
$username = 'root';
$password = '';
$dsn = "mysql:host={$host};dbname={$dbname};port={$port}";
function getDay($maxRecordNum, $i) {
$item = (int)($maxRecordNum / 30);
$day = 20190801;
$add = (int)($i/ $item);
return $day + $add;
}
function getRandomFieldOne() {
static $fieldsOne = [
"'a0'", "'a1'", "'a2'", "'a3'", "'a4'", "'a5'", "'a6'", "'a7'", "'a8'", "'a9'",
];
return $fieldsOne[rand(0, count($fieldsOne) -1)];
}
function getRandomFieldTwo() {
return rand(0, 1);
}
function getRandomFieldThree() {
return rand(0, 10);
}
function getRandomFieldFour() {
return rand(0, 8);
}
function generateRecordsValue($day) {
$minUid = 200000000;
$maxUid = $minUid + 5000;
$arrRecord = [
'uid' => rand($minUid, $maxUid),
'day' => $day,
'field1' => getRandomFieldOne(),
'field2' => getRandomFieldTwo(),
'field3' => getRandomFieldThree(),
'field4' => getRandomFieldFour(),
'field5' => "'static'",
'field6' => "'static'",
'field7' => "'static'",
];
return $arrRecord;
}
try {
$db = new PDO($dsn, $username, $password);
$db->query("truncate {$tableName};");
$db->query("alter table {$tableName} AUTO_INCREMENT=1;");
$arr = [];
for ($i = 1; $i <= $maxRecordNum; $i++) {
$day = getDay($maxRecordNum, $i);
$arr[] = '(' . implode(',', generateRecordsValue($day)) . ')';
if ($i % 10000 === 0) {
$sql = "INSERT INTO {$tableName} (" . implode(',', array_keys(generateRecordsValue(0))) . ") values" . implode(',', $arr) .';';
$res = $db->query($sql);
$arr = [];
sleep(1);
echo "{$i}\n";
}
}
} catch (Exception $e) {
echo $e->getMessage();
}
测试sql脚本
查询15天范围内, 2000个uid, 附带两个字段条件
$tableName = 'testTable';
$host = '127.0.0.1';
$dbname = 'test';
$username = 'root';
$port = '4000';
$password = '';
//$port = '3306';
//$password = 'guapi123';
$dsn = "mysql:host={$host};dbname={$dbname};port={$port}";
try {
$db = new PDO($dsn, $username, $password);
$arrUid = [];
$minUid = 200000000;
for ($i = 0; $i < 2000; $i++) {
$arrUid[] = $minUid + $i;
}
$total = 0;
for ($i = 0; $i < 15; $i++) {
$startDay = 20190801 + $i;
$endDay = $startDay + 14;
$sql = "select field4 from {$tableName} where uid in (" . implode(',', $arrUid) . ") and day >= {$startDay} and day<={$endDay} and field1 = 'a0' and field3 in (3, 5);";
$startTime = microtime(true);
$res = $db->query($sql);
$endTime = microtime(true);
$cost = (int)(($endTime - $startTime) * 1000);
echo "cost:{$cost}ms\n";
$total += $cost;
}
echo "avg cost:" . (int)($total / 15) . "ms\n";
} catch (Exception $e) {
echo $e->getMessage();
}
测试结果(Mysql和TiDB缓存策略都是默认配置)
TiDB
cost:1744ms
cost:646ms
cost:720ms
cost:614ms
cost:644ms
cost:659ms
cost:662ms
cost:731ms
cost:728ms
cost:669ms
cost:816ms
cost:682ms
cost:778ms
cost:857ms
cost:718ms
avg cost:777ms
Mysql
cost:5256ms
cost:5165ms
cost:5300ms
cost:5461ms
cost:5376ms
cost:5334ms
cost:5435ms
cost:5339ms
cost:5314ms
cost:5278ms
cost:5346ms
cost:5244ms
cost:5387ms
cost:5497ms
cost:5633ms
avg cost:5357ms
)
