I need to get the most recent record for each device from an 开发者_如何学Cupgrade request log table. A device is unique based on a combination of its hardware ID and its MAC address. I have been attempting to do this with GROUP BY
but I am not convinced this is safe since it looks like it may be simply returning the "top record" (whatever SQLite or MySQL thinks that is).
I had hoped that this "top record" could be hinted at by way of ORDER BY
but that does not seem to be having any impact as both of the following queries returns the same records for each device, just in opposite order:
SELECT extHwId,
mac,
created
FROM upgradeRequest
GROUP BY extHwId, mac
ORDER BY created DESC
SELECT extHwId,
mac,
created
FROM upgradeRequest
GROUP BY extHwId, mac
ORDER BY created ASC
Is there another way to accomplish this? I've seen several somewhat related posts that have all involved sub selects. If possible, I would like to do this without subselects as I would like to learn how to do this without that.
Try:
SELECT extHwId, mac, MAX(created)
FROM upgradeRequest
GROUP BY extHwId, mac
You can't "get the most recent record" using GROUP BY. GROUP BY aggregates many records together so what you end up seeing/extracting are not the actual records from the table but "virtual" records constructed from one or more table records.
If you really want the most recent record for each device you'll need to use a subquery. However, if you only want to know the date of the most recent record for each device, you can use GROUP BY by putting a MAX aggregate around the created field:
SELECT
extHwId,
mac,
MAX(created)
FROM upgradeRequest
GROUP BY extHwId, mac
ORDER BY created ASC
This should do it...
SELECT ur.extHwId,
ur.mac,
ur.created
from upgradeRequest ur
left outer join upgradeRequest ur2
on ur2.extHwId = ur.extHwId
and ur2.mac = ur.mac
and ur2.Created > ur.Created -- Join with all "later" entries
where ur2.Created is null -- Filter out all rows that have any later entries
...but it is awkward, will probably not perform well on large tables (since you're reading and checking pretty much every row), and will produce duplicates if there are multiple entries set with the exact same most recent date. This kind of query can be much more efficient when done with subqueries, such as the following form:
SELECT ur.extHwId,
ur.mac,
ur.created
from upgradeRequest ur
where not exists (select 1
from upgradeRequest ur2
where ur2.extHwId = ur.extHwId
and ur2.mac = ur.mac
and ur2.Created > ur.Created)
The advantage here is the database engine only has to find 1 row in the subquery (as opposed to reading all rows first) to filter out a row.
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