In SQL, Is There Something Like "In", But for Multiple "And" Conditions

Combining LIKE and IN for SQL Server

Effectively, the IN statement creates a series of OR statements... so

SELECT * FROM table WHERE column IN (1, 2, 3)

Is effectively

SELECT * FROM table WHERE column = 1 OR column = 2 OR column = 3

And sadly, that is the route you'll have to take with your LIKE statements

SELECT * FROM table
WHERE column LIKE 'Text%' OR column LIKE 'Hello%' OR column LIKE 'That%'

Is there a combination of LIKE and IN in SQL?

There is no combination of LIKE & IN in SQL, much less in TSQL (SQL Server) or PLSQL (Oracle). Part of the reason for that is because Full Text Search (FTS) is the recommended alternative.

Both Oracle and SQL Server FTS implementations support the CONTAINS keyword, but the syntax is still slightly different:

Oracle:

WHERE CONTAINS(t.something, 'bla OR foo OR batz', 1) > 0

SQL Server:

WHERE CONTAINS(t.something, '"bla*" OR "foo*" OR "batz*"')

The column you are querying must be full-text indexed.

Reference:

• Building Full-Text Search Applications with Oracle Text
• Understanding SQL Server Full-Text

How can I introduce multiple conditions in LIKE operator?

Here is an alternative way:

select * from tbl where col like 'ABC%'
union
select * from tbl where col like 'XYZ%'
union
select * from tbl where col like 'PQR%';

Here is the test code to verify:

create table tbl (col varchar(255));
insert into tbl (col) values ('ABCDEFG'), ('HIJKLMNO'), ('PQRSTUVW'), ('XYZ');
select * from tbl where col like 'ABC%'
union
select * from tbl where col like 'XYZ%'
union
select * from tbl where col like 'PQR%';
+----------+
| col      |
+----------+
| ABCDEFG  |
| XYZ      |
| PQRSTUVW |
+----------+
3 rows in set (0.00 sec)

SELECTING with multiple WHERE conditions on same column

You can either use GROUP BY and HAVING COUNT(*) = _:

SELECT contact_id
FROM your_table
WHERE flag IN ('Volunteer', 'Uploaded', ...)
GROUP BY contact_id
HAVING COUNT(*) = 2 -- // must match number in the WHERE flag IN (...) list

(assuming contact_id, flag is unique).

Or use joins:

SELECT T1.contact_id
FROM your_table T1
JOIN your_table T2 ON T1.contact_id = T2.contact_id AND T2.flag = 'Uploaded'
-- // more joins if necessary
WHERE T1.flag = 'Volunteer'

If the list of flags is very long and there are lots of matches the first is probably faster. If the list of flags is short and there are few matches, you will probably find that the second is faster. If performance is a concern try testing both on your data to see which works best.

sql query with multiple where statements

You need to consider that GROUP BY happens after the WHERE clause conditions have been evaluated. And the WHERE clause always considers only one row, meaning that in your query, the meta_key conditions will always prevent any records from being selected, since one column cannot have multiple values for one row.

And what about the redundant meta_value checks? If a value is allowed to be both smaller and greater than a given value, then its actual value doesn't matter at all - the check can be omitted.

According to one of your comments you want to check for places less than a certain distance from a given location. To get correct distances, you'd actually have to use some kind of proper distance function (see e.g. this question for details). But this SQL should give you an idea how to start:

SELECT items.* FROM items i, meta_data m1, meta_data m2
    WHERE i.item_id = m1.item_id and i.item_id = m2.item_id
    AND m1.meta_key = 'lat' AND m1.meta_value >= 55 AND m1.meta_value <= 65
    AND m2.meta_key = 'lng' AND m2.meta_value >= 20 AND m2.meta_value <= 30

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