MySQL Select last 7 days
The WHERE
clause is misplaced, it has to follow the table references and JOIN operations.
Something like this:
FROM tartikel p1
JOIN tartikelpict p2
ON p1.kArtikel = p2.kArtikel
AND p2.nNr = 1
WHERE p1.dErstellt >= DATE(NOW()) - INTERVAL 7 DAY
ORDER BY p1.kArtikel DESC
EDIT (three plus years later)
The above essentially answers the question "I tried to add a WHERE clause to my query and now the query is returning an error, how do I fix it?"
As to a question about writing a condition that checks a date range of "last 7 days"...
That really depends on interpreting the specification, what the datatype of the column in the table is (DATE or DATETIME) and what data is available... what should be returned.
To summarize: the general approach is to identify a "start" for the date/datetime range, and "end" of that range, and reference those in a query. Let's consider something easier... all rows for "yesterday".
If our column is DATE type. Before we incorporate an expression into a query, we can test it in a simple SELECT
SELECT DATE(NOW()) + INTERVAL -1 DAY
and verify the result returned is what we expect. Then we can use that same expression in a WHERE clause, comparing it to a DATE column like this:
WHERE datecol = DATE(NOW()) + INTERVAL -1 DAY
For a DATETIME or TIMESTAMP column, we can use >=
and <
inequality comparisons to specify a range
WHERE datetimecol >= DATE(NOW()) + INTERVAL -1 DAY
AND datetimecol < DATE(NOW()) + INTERVAL 0 DAY
For "last 7 days" we need to know if that mean from this point right now, back 7 days ... e.g. the last 7*24 hours , including the time component in the comparison, ...
WHERE datetimecol >= NOW() + INTERVAL -7 DAY
AND datetimecol < NOW() + INTERVAL 0 DAY
the last seven complete days, not including today
WHERE datetimecol >= DATE(NOW()) + INTERVAL -7 DAY
AND datetimecol < DATE(NOW()) + INTERVAL 0 DAY
or past six complete days plus so far today ...
WHERE datetimecol >= DATE(NOW()) + INTERVAL -6 DAY
AND datetimecol < NOW() + INTERVAL 0 DAY
I recommend testing the expressions on the right side in a SELECT statement, we can use a user-defined variable in place of NOW() for testing, not being tied to what NOW() returns so we can test borders, across week/month/year boundaries, and so on.
SET @clock = '2017-11-17 11:47:47' ;
SELECT DATE(@clock)
, DATE(@clock) + INTERVAL -7 DAY
, @clock + INTERVAL -6 DAY
Once we have expressions that return values that work for "start" and "end" for our particular use case, what we mean by "last 7 days", we can use those expressions in range comparisons in the WHERE clause.
(Some developers prefer to use the DATE_ADD
and DATE_SUB
functions in place of the + INTERVAL val DAY/HOUR/MINUTE/MONTH/YEAR
syntax.
And MySQL provides some convenient functions for working with DATE, DATETIME and TIMESTAMP datatypes... DATE, LAST_DAY,
Some developers prefer to calculate the start and end in other code, and supply string literals in the SQL query, such that the query submitted to the database is
WHERE datetimecol >= '2017-11-10 00:00'
AND datetimecol < '2017-11-17 00:00'
And that approach works too. (My preference would be to explicitly cast those string literals into DATETIME, either with CAST, CONVERT or just the + INTERVAL trick...
WHERE datetimecol >= '2017-11-10 00:00' + INTERVAL 0 SECOND
AND datetimecol < '2017-11-17 00:00' + INTERVAL 0 SECOND
The above all assumes we are storing "dates" in appropriate DATE, DATETIME and/or TIMESTAMP datatypes, and not storing them as strings in variety of formats e.g. 'dd/mm/yyyy'
, m/d/yyyy
, julian dates, or in sporadically non-canonical formats, or as a number of seconds since the beginning of the epoch, this answer would need to be much longer.
Since you are using an INNER JOIN you can just put the conditions in the WHERE clause, like this:
SELECT
p1.kArtikel,
p1.cName,
p1.cKurzBeschreibung,
p1.dLetzteAktualisierung,
p1.dErstellt,
p1.cSeo,
p2.kartikelpict,
p2.nNr,
p2.cPfad
FROM
tartikel AS p1 INNER JOIN tartikelpict AS p2
ON p1.kArtikel = p2.kArtikel
WHERE
DATE(dErstellt) > (NOW() - INTERVAL 7 DAY)
AND p2.nNr = 1
ORDER BY
p1.kArtikel DESC
LIMIT
100;