MySQL Select last 7 days

Question

I read some Posts here and seems like nothing special but I can not still select the entries of the last days.

SELECT 
    p1.kArtikel, 
    p1.cName, 
    p1.cKurzBeschreibung, 
    p1.dLetzteAktualisierung, 
    p1.dErstellt, 
    p1.cSeo,
    p2.kartikelpict,
    p2.nNr,
    p2.cPfad

FROM 
    tartikel AS p1 WHERE DATE(dErstellt) > (NOW() - INTERVAL 7 DAY)

INNER JOIN 
    tartikelpict AS p2 
    ON (p1.kArtikel = p2.kArtikel) WHERE (p2.nNr = 1)

ORDER BY 
    p1.kArtikel DESC

LIMIT
    100;', $connection);

If I add the between today and last 7 days my Code will not output anything.

Answer 1

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.