Finding cache candidates
A statement should be considered for caching if it is executed often and has a long run time. Cache candidates are found by creating a list of statements sorted by the product of the number of executions multiplied by the statements run time. The function mysqlnd_qc_get_query_trace_log() returns a query log which help with the task.
Collecting a query trace is a slow operation. Thus, it is disabled by default. The PHP configuration directive mysqlnd_qc.collect_query_trace is used to enable it. The functions trace contains one entry for every query issued before the function is called.
Пример #1 Collecting a query trace
mysqlnd_qc.enable_qc=1 mysqlnd_qc.collect_query_trace=1
<?php
/* connect to MySQL */
$mysqli = new mysqli("host", "user", "password", "schema", "port", "socket");
/* dummy queries to fill the query trace */
for ($i = 0; $i < 2; $i++) {
$res = $mysqli->query("SELECT 1 AS _one FROM DUAL");
$res->free();
}
/* dump trace */
var_dump(mysqlnd_qc_get_query_trace_log());
?>
Результат выполнения данных примеров:
array(2) {
[0]=>
array(8) {
["query"]=>
string(26) "SELECT 1 AS _one FROM DUAL"
["origin"]=>
string(102) "#0 qc.php(7): mysqli->query('SELECT 1 AS _on...')
#1 {main}"
["run_time"]=>
int(0)
["store_time"]=>
int(25)
["eligible_for_caching"]=>
bool(false)
["no_table"]=>
bool(false)
["was_added"]=>
bool(false)
["was_already_in_cache"]=>
bool(false)
}
[1]=>
array(8) {
["query"]=>
string(26) "SELECT 1 AS _one FROM DUAL"
["origin"]=>
string(102) "#0 qc.php(7): mysqli->query('SELECT 1 AS _on...')
#1 {main}"
["run_time"]=>
int(0)
["store_time"]=>
int(8)
["eligible_for_caching"]=>
bool(false)
["no_table"]=>
bool(false)
["was_added"]=>
bool(false)
["was_already_in_cache"]=>
bool(false)
}
}
Assorted information is given in the trace. Among them timings and the origin of the query call. The origin property holds a code backtrace to identify the source of the query. The depth of the backtrace can be limited with the PHP configuration directive mysqlnd_qc.query_trace_bt_depth. The default depth is 3.
Пример #2 Setting the backtrace depth with the mysqlnd_qc.query_trace_bt_depth ini setting
mysqlnd_qc.enable_qc=1 mysqlnd_qc.collect_query_trace=1
<?php
/* connect to MySQL */
$mysqli = new mysqli("host", "user", "password", "schema", "port", "socket");
$mysqli->query("DROP TABLE IF EXISTS test");
$mysqli->query("CREATE TABLE test(id INT)");
$mysqli->query("INSERT INTO test(id) VALUES (1), (2), (3)");
/* dummy queries to fill the query trace */
for ($i = 0; $i < 3; $i++) {
$res = $mysqli->query("SELECT id FROM test WHERE id = " . $mysqli->real_escape_string($i));
$res->free();
}
$trace = mysqlnd_qc_get_query_trace_log();
$summary = array();
foreach ($trace as $entry) {
if (!isset($summary[$entry['query']])) {
$summary[$entry['query']] = array(
"executions" => 1,
"time" => $entry['run_time'] + $entry['store_time'],
);
} else {
$summary[$entry['query']]['executions']++;
$summary[$entry['query']]['time'] += $entry['run_time'] + $entry['store_time'];
}
}
foreach ($summary as $query => $details) {
printf("%45s: %5dms (%dx)\n",
$query, $details['time'], $details['executions']);
}
?>
Результатом выполнения данных примеров будет что-то подобное:
DROP TABLE IF EXISTS test: 0ms (1x)
CREATE TABLE test(id INT): 0ms (1x)
INSERT INTO test(id) VALUES (1), (2), (3): 0ms (1x)
SELECT id FROM test WHERE id = 0: 25ms (1x)
SELECT id FROM test WHERE id = 1: 10ms (1x)
SELECT id FROM test WHERE id = 2: 9ms (1x)
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