Reputation: 43
I have a table tb
:
ApplyID, ApplyDate,
=================================
John, 2008-01-23 12:00:01
Joe, 2008-01-23 12:00:02
Mary, 2008-01-23 12:00:02
Snoopy, 2008-01-23 12:00:06
Snoopy, 2008-01-23 12:00:07
Snoopy, 2008-01-23 12:00:11
John, 2008-01-23 12:00:21
I want to count how many rows in next 5 seconds for each row.
Output like:
ApplyID, ApplyDate, Sessions
=================================
John, 2008-01-23 12:00:01, 3
Joe, 2008-01-23 12:00:02, 4
Mary, 2008-01-23 12:00:02, 4
Snoopy, 2008-01-23 12:00:06, 3
Snoopy, 2008-01-23 12:00:07, 2
Snoopy, 2008-01-23 12:00:11, 1
John, 2008-01-23 12:00:21, 1
The query I use:
SELECT p1.ApplyID,
p1.ApplyDate,
(
SELECT COUNT(*)
FROM tb p2
WHERE p2.ApplyDate >= p1.ApplyDate
AND UNIX_TIMESTAMP(p2.ApplyDate)- UNIX_TIMESTAMP(p1.ApplyDate) <= 5
) AS sessions
FROM tb p1
ORDER BY ApplyDate
It works but will take a long time to show result. Any better way to increase query performance?
Upvotes: 4
Views: 243
Reputation: 238126
Sometimes a join
outperforms a subquery. You could try:
select p1.ApplyID
, p1.ApplyDate,
, count(*)
from tb p1
join tb p2
on p2.ApplyDate between p1.ApplyDate and p1.ApplyDate + interval 5 second
group by
p1.ApplyID
, p1.ApplyDate
order by
p1.ApplyDate
Creating an index on ApplyDate
might help:
create index IX_TB_ApplyDate on tb (ApplyDate, ApplyID)
Two notes. Because you only select ApplyID
and ApplyDate
, this index is even covering for your query. And make sure your query doesn't use UNIX_TIMESTAMP
, which may prevent MySQL from using the index.
Upvotes: 4
Reputation: 1883
SELECT p1.ApplyID, p1.ApplyDate, COUNT(*) as SESSIONS
FROM tb p1, tb p2
WHERE p2.ApplyDate >= p1.ApplyDate
AND UNIX_TIMESTAMP(p2.ApplyDate)- UNIX_TIMESTAMP(p1.ApplyDate) <= 5
ORDER BY p1.ApplyDate
Upvotes: 0