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 | Finding cache candidatesA 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. 
 Example #1 Collecting a query trace mysqlnd_qc.enable_qc=1 mysqlnd_qc.collect_query_trace=1 
<?phpThe above examples will output: 
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. 
 Example #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 
<?phpThe above examples will output something similar to: 
                    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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