redis cohort analysis ideas

The first step in the required information in the queue goods placed in the queue

The second step. Program execution queue

third step. Analyzing the message queue, the length is determined according to whether the task has been completed queue
// a first product inventory stored in the queue.
$ The Redis Redis new new = ();
for (I = $ 1; $ I <= 100; $ I ++) {
redis- $> LPUSH ( 'Good', 'good_id' $ I.);
}
print_r ($ redis-> Lrange ( 'Good', 0, -1)); Exit;

. 2 // program execution queue

header ( " type-Content: text / HTML; charset = UTF-. 8 ");
$ the Redis Redis new new = ();
// data inserted buy
$ userid =" user_id _ "mt_rand (1, 9999) .'_ 'microtime (true.. );
IF (RES = $ $ redis-> lpop ( 'Good')) {
// $ $ redis- left => LLEN ( 'Good'); // remaining "($ left).."
$ redis-> LPUSH ( 'good_res', $ RES);
//file_put_contents('F:\b.txt',$userid "buying success!" $ res "\ n" , FILE_APPEND)...;

//file_put_contents('F:\b.txt ', $ userid "bad luck, then snapped \ n-!", FILE_APPEND to);.
}
Exit;
.. 3 // print the results of
$ the Redis Redis new new = ();
print_r ($ redis-> lrange ( 'good_res ', 0, -1)); exit;

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Origin www.cnblogs.com/kevin-yang123/p/12634842.html