I want to be able to select a bunch of rows from a table of e-mails and group them by the from sender. My query looks like this:
SELECT
`timestamp`, `fromEmail`, `subject`
FROM `incomingEmails`
GROUP BY LOWER(`fromEmail`)
ORDER BY `timestamp` DESC
The query almost works as I want it — it selects records grouped by e-mail. The problem is that the subject and timestamp don't correspond to the most recent record for a particular e-mail address.
For example, it might return:
fromEmail: [email protected], subject: hello
fromEmail: [email protected], subject: welcome
When the records in the database are:
fromEmail: [email protected], subject: hello
fromEmail: [email protected], subject: programming question
fromEmail: [email protected], subject: welcome
If the "programming question" subject is the most recent, how can I get MySQL to select that record when grouping the e-mails?
Both GROUP BY and ORDER BY are clauses (or statements) that serve similar functions; that is to sort query results. However, each of these serve very different purposes; so different in fact, that they can be employed separately or together.
1. Group by statement is used to group the rows that have the same value. Whereas Order by statement sort the result-set either in ascending or in descending order.
GROUP BY and ORDER BY can be used in the same query and it is NOT required that they be the same column. GROUP BY controls the way the data is organized for sumarization. ORDER BY simply sorts the rows of the result.
GROUP BY and ORDER BY are two different things. It is plain wrong that you cannot use them together. GROUP BY is used to tell the DBMS per which group to aggregate the data. In your example you sum gallons per colorComp and colorID .
A simple solution is to wrap the query into a subselect with the ORDER statement first and applying the GROUP BY later:
SELECT * FROM (
SELECT `timestamp`, `fromEmail`, `subject`
FROM `incomingEmails`
ORDER BY `timestamp` DESC
) AS tmp_table GROUP BY LOWER(`fromEmail`)
This is similar to using the join but looks much nicer.
Using non-aggregate columns in a SELECT with a GROUP BY clause is non-standard. MySQL will generally return the values of the first row it finds and discard the rest. Any ORDER BY clauses will only apply to the returned column value, not to the discarded ones.
IMPORTANT UPDATE Selecting non-aggregate columns used to work in practice but should not be relied upon. Per the MySQL documentation "this is useful primarily when all values in each nonaggregated column not named in the GROUP BY are the same for each group. The server is free to choose any value from each group, so unless they are the same, the values chosen are indeterminate."
As of 5.7.5 ONLY_FULL_GROUP_BY is enabled by default so non-aggregate columns cause query errors (ER_WRONG_FIELD_WITH_GROUP)
As @mikep points out below the solution is to use ANY_VALUE() from 5.7 and above
See http://www.cafewebmaster.com/mysql-order-sort-group https://dev.mysql.com/doc/refman/5.6/en/group-by-handling.html https://dev.mysql.com/doc/refman/5.7/en/group-by-handling.html https://dev.mysql.com/doc/refman/5.7/en/miscellaneous-functions.html#function_any-value
As pointed in a reply already, the current answer is wrong, because the GROUP BY arbitrarily selects the record from the window.
If one is using MySQL 5.6, or MySQL 5.7 with ONLY_FULL_GROUP_BY
, the correct (deterministic) query is:
SELECT incomingEmails.*
FROM (
SELECT fromEmail, MAX(timestamp) `timestamp`
FROM incomingEmails
GROUP BY fromEmail
) filtered_incomingEmails
JOIN incomingEmails USING (fromEmail, timestamp)
GROUP BY fromEmail, timestamp
In order for the query to run efficiently, proper indexing is required.
Note that for simplification purposes, I've removed the LOWER()
, which in most cases, won't be used.
Here's one approach:
SELECT cur.textID, cur.fromEmail, cur.subject,
cur.timestamp, cur.read
FROM incomingEmails cur
LEFT JOIN incomingEmails next
on cur.fromEmail = next.fromEmail
and cur.timestamp < next.timestamp
WHERE next.timestamp is null
and cur.toUserID = '$userID'
ORDER BY LOWER(cur.fromEmail)
Basically, you join the table on itself, searching for later rows. In the where clause you state that there cannot be later rows. This gives you only the latest row.
If there can be multiple emails with the same timestamp, this query would need refining. If there's an incremental ID column in the email table, change the JOIN like:
LEFT JOIN incomingEmails next
on cur.fromEmail = next.fromEmail
and cur.id < next.id
Do a GROUP BY after the ORDER BY by wrapping your query with the GROUP BY like this:
SELECT t.* FROM (SELECT * FROM table ORDER BY time DESC) t GROUP BY t.from
According to SQL standard you cannot use non-aggregate columns in select list. MySQL allows such usage (uless ONLY_FULL_GROUP_BY mode used) but result is not predictable.
ONLY_FULL_GROUP_BY
You should first select fromEmail, MIN(read), and then, with second query (or subquery) - Subject.
I struggled with both these approaches for more complex queries than those shown, because the subquery approach was horribly ineficient no matter what indexes I put on, and because I couldn't get the outer self-join through Hibernate
The best (and easiest) way to do this is to group by something which is constructed to contain a concatenation of the fields you require and then to pull them out using expressions in the SELECT clause. If you need to do a MAX() make sure that the field you want to MAX() over is always at the most significant end of the concatenated entity.
The key to understanding this is that the query can only make sense if these other fields are invariant for any entity which satisfies the Max(), so in terms of the sort the other pieces of the concatenation can be ignored. It explains how to do this at the very bottom of this link. http://dev.mysql.com/doc/refman/5.0/en/group-by-hidden-columns.html
If you can get am insert/update event (like a trigger) to pre-compute the concatenation of the fields you can index it and the query will be as fast as if the group by was over just the field you actually wanted to MAX(). You can even use it to get the maximum of multiple fields. I use it to do queries against multi-dimensional trees expresssed as nested sets.
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