Amazon Redshift will no longer support the creation of new Python UDFs starting November 1, 2025.
If you would like to use Python UDFs, create the UDFs prior to that date.
Existing Python UDFs will continue to function as normal. For more information, see the
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WHERE clause
The WHERE clause contains conditions that either join tables or apply predicates to columns in tables. Tables can be inner-joined by using appropriate syntax in either the WHERE clause or the FROM clause. Outer join criteria must be specified in the FROM clause.
Syntax
[ WHERE condition ]
condition
Any search condition with a Boolean result, such as a join condition or a predicate on a table column. The following examples are valid join conditions:
sales.listid=listing.listid sales.listid<>listing.listid
The following examples are valid conditions on columns in tables:
catgroup like 'S%' venueseats between 20000 and 50000 eventname in('Jersey Boys','Spamalot') year=2008 length(catdesc)>25 date_part(month, caldate)=6
Conditions can be simple or complex; for complex conditions, you can use parentheses to isolate logical units. In the following example, the join condition is enclosed by parentheses.
where (category.catid=event.catid) and category.catid in(6,7,8)
Usage notes
You can use aliases in the WHERE clause to reference select list expressions.
You can't restrict the results of aggregate functions in the WHERE clause; use the HAVING clause for this purpose.
Columns that are restricted in the WHERE clause must derive from table references in the FROM clause.
Example
The following query uses a combination of different WHERE clause restrictions, including a join condition for the SALES and EVENT tables, a predicate on the EVENTNAME column, and two predicates on the STARTTIME column.
select eventname, starttime, pricepaid/qtysold as costperticket, qtysold from sales, event where sales.eventid = event.eventid and eventname='Hannah Montana' and date_part(quarter, starttime) in(1,2) and date_part(year, starttime) = 2008 order by 3 desc, 4, 2, 1 limit 10; eventname | starttime | costperticket | qtysold ----------------+---------------------+-------------------+--------- Hannah Montana | 2008-06-07 14:00:00 | 1706.00000000 | 2 Hannah Montana | 2008-05-01 19:00:00 | 1658.00000000 | 2 Hannah Montana | 2008-06-07 14:00:00 | 1479.00000000 | 1 Hannah Montana | 2008-06-07 14:00:00 | 1479.00000000 | 3 Hannah Montana | 2008-06-07 14:00:00 | 1163.00000000 | 1 Hannah Montana | 2008-06-07 14:00:00 | 1163.00000000 | 2 Hannah Montana | 2008-06-07 14:00:00 | 1163.00000000 | 4 Hannah Montana | 2008-05-01 19:00:00 | 497.00000000 | 1 Hannah Montana | 2008-05-01 19:00:00 | 497.00000000 | 2 Hannah Montana | 2008-05-01 19:00:00 | 497.00000000 | 4 (10 rows)