I have a large table named 'roomlogs' which has nearly 1 million entries. The structure of the table:
id --> PK
roomId --> varchar FK to rooms table
userId --> varchar FK to users table
enterTime --> Date and Time
exitTime --> Date and Time
status --> bool
I have the previous indexing on roomID, I recently added an index on the userId column.
So, When I run a stored procedure with following code it is taking more time like on average 50 seconds. WHich it should not take.
DELIMITER ;;
CREATE DEFINER=`root`@`%` PROCEDURE `enter_room`(IN pRoomId varchar(200), IN puserId varchar(50), IN ptime datetime, IN phidden int, pcheckid int, pexit datetime)
begin
update roomlogs set
roomlogs.exitTime = ptime,
roomlogs.`status` = 1
where
roomlogs.userId = puserId
and roomlogs.`status` = 0
and DATEDIFF(ptime,roomlogs.enterTime) = 0;
INSERT into roomlogs
( roomlogs.roomId,
roomlogs.userId,
roomlogs.enterTime,
roomlogs.exitTime,
roomlogs.hidden,
roomlogs.checkinId )
value
( pRoomId,
userId,
ptime,
pexit,
phidden,
pcheckid);
select *
from
roomlogs
where
roomlogs.id= LAST_INSERT_ID();
end ;;
DELIMITER ;
What Can be the reason for it to take this much time:
- I added an index recently so previous rows are not indexed.
- There is no selection on storage type for any indexes right now. Should I change it to B-tree?
- On my website, I get 20-30 simultaneous call on other procedures also while this procedure has 10-20 simultaneous calls, does the update query in the procedure make a lock? But in MySQL.slow_logs table for each query the lock _time shows 0.
- Is there any other reason for this behaviour?
Edit: Here is the SHOW TABLE:
CREATE TABLE `roomlogs` (
`roomId` varchar(200) CHARACTER SET latin1 DEFAULT NULL,
`userID` varchar(50) CHARACTER SET latin1 DEFAULT NULL,
`enterTime` datetime DEFAULT NULL,
`exitTime` datetime DEFAULT NULL,
`id` int(11) NOT NULL AUTO_INCREMENT,
`status` int(11) DEFAULT '0',
`hidden` int(11) DEFAULT '0',
`checkinId` int(11) DEFAULT '-1',
PRIMARY KEY (`id`),
KEY `RoomLogIndex` (`roomId`),
KEY `RoomLogIDIndex` (`id`),
KEY `USERID` (`userID`)
) ENGINE=InnoDB AUTO_INCREMENT=1064216 DEFAULT CHARSET=utf8
I can also see that this query is running more number of times like 100000 times per day (nearly continuously).
SELECT count(*) from roomlogs where roomId=proomId and status='0';
Because of this query reads from the same table, does InnoDB block or create a lock on update query because I can see that when the above-stored procedure is running more number of times then this query is taking more time.
Here is the link for MySQL variables: https://docs.google.com/document/d/17_MVaU4yvpQfVDT83yhSjkLHsgYd-z2mg6X7GwvYZGE/edit?usp=sharing