COO tiket.com. Advisor bouncity.com. Advisor golfnesia.com. Co-founded urbanesia.com. Initiator #StartupLokal
Hey guys, I need your point of view on this. So I have this query, which can take up to 17 (Seventeen!) tables into one query. I have been using Sphinx a lot for searches, and luckily, since Sphinx 1.10-beta, we have this attribute called sql_attr_string. What this attribute does is store the value for retrieval at Sphinx. So this is what I get (below is a sphinx index):
mysql> select room_date, room_name FROM rooms LIMIT 5; +-----------+--------+-----------+---------------+ | id | weight | room_date | room_name | +-----------+--------+-----------+---------------+ | 120120106 | 1 | 20120106 | Superior Room | | 120120107 | 1 | 20120107 | Superior Room | | 120120108 | 1 | 20120108 | Superior Room | | 120120109 | 1 | 20120109 | Superior Room | | 120120110 | 1 | 20120110 | Superior Room | +-----------+--------+-----------+-------------------+ 5 rows in set (0.01 sec)
So as you can see, I don’t need to query my tables anymore, basically sphinx search is doing the hard work by indexing ALL tables (schedule in background), and updates anything necessarily by using real-time indexing.
Reading the manual, it says that searchd will cache all values in RAM. But I think that’s before 1.10-beta. I need your PoV on this. Is this plausible or is this consuming a lot of Sphinx Search resource?