SQL Query Where Field Does Not Contain $X

SQL Query Where Field DOES NOT Contain $x

What kind of field is this? The IN operator cannot be used with a single field, but is meant to be used in subqueries or with predefined lists:

-- subquery
SELECT a FROM x WHERE x.b NOT IN (SELECT b FROM y);
-- predefined list
SELECT a FROM x WHERE x.b NOT IN (1, 2, 3, 6);

If you are searching a string, go for the LIKE operator (but this will be slow):

-- Finds all rows where a does not contain "text"
SELECT * FROM x WHERE x.a NOT LIKE '%text%';

If you restrict it so that the string you are searching for has to start with the given string, it can use indices (if there is an index on that field) and be reasonably fast:

-- Finds all rows where a does not start with "text"
SELECT * FROM x WHERE x.a NOT LIKE 'text%';

SQL Query Where Field DOES NOT Contain a Digit

This can be done using a regular expression:

select *
from the_table
where address_column !~ '[0-9]'

More details about regular expressions and pattern matching can be found in the manual:

http://www.postgresql.org/docs/current/static/functions-matching.html

SQL Query where a field value does not contain empty spaces

Try

NOT LIKE '% %'

Your current wildcard match only catches trailing spaces.

Also, you're using meta_key twice. Should the column used in your LIKE clause be meta_value (or whatever it is in Wordpress).

This question is probably worth reading if you're concerned about performance - Which is faster — INSTR or LIKE?

query that returns rows that do not contain a word in MySql

If I have understood you correctly you want to find all the rows from the table that do not contain a word'Dolo'.

Well you can use NOT operator for that.

SELECT *
FROM products
WHERE NOT MATCH(title) AGAINST('Dolo');

Here is a DEMO.

Also, you can use it like this(because as the OP has asked: "if the whole word is "dolorem", would this query work?"):

SELECT  title as Title
        , MATCH(title) AGAINST('Dolo*' IN BOOLEAN MODE) as Score
FROM products
WHERE MATCH(title) AGAINST('Dolo*' IN BOOLEAN MODE) = 0;

* is a wildcard.

Other signs are described here: https://dev.mysql.com/doc/refman/8.0/en/fulltext-boolean.html

Here is the DEMO for the second example.

Access Unmatched or similar query where a column does not contain or is not like another column

Similar to the answer I provided here, rather than using a negative selection in which you are testing whether the value held by a record is not like any record in another dataset, the easier approach is to match those which are like the dataset and return those records with no match.

To accomplish this, you can use a left join coupled with an is null condition in the where clause, for example:

select 
    MainData.*
from 
    MainData left join ExclusionData on 
    MainData.TargetField like ExclusionData.Pattern
where 
    ExclusionData.Pattern is null

Or, if the pattern field does not already contain wildcard operators:

select 
    MainData.*
from 
    MainData left join ExclusionData on 
    MainData.TargetField like '*' & ExclusionData.Pattern & '*'
where 
    ExclusionData.Pattern is null

Note that MS Access will not be able to represent such calculated joins in the Query Designer, but the JET database engine used by MS Access will still be able to interpret and execute the valid SQL.

java.sql.SQLException: Column 'max_grade' not Found where sql query do not contain 'max_grade'

If you are using JPA, in your POJOs you use camelCase like maxGrade but JPA translates that to lowercase with underscores for the actual columns in the database so maxGrade would correspond to a DB column called max_grade so the actual query will look for max_grade in the database and not maxGrade. This is convention and you can override it but its better to have database columns as lowercase with underscores if you are joining words and camelCase in code.

Selecting non-unique field from table where data does not contain string

or something like this...

SELECT ch.trans_id
FROM   checkpoint ch
except
SELECT ch.trans_id
FROM   checkpoint ch,
   checkpoint_data chd
WHERE  ch.checkpoint_id = chd.checkpoint_id
 AND Upper(chd.data)LIKE Upper('%Example String%')

---

Related Topics