correlated-subquery

I'm working with PostgreSQL 9 and I want to find the nearest neighbor inside table RP for all tuples in RQ , comparing the dates ( t ), but I get this error: ERROR: subquery in FROM cannot refer to other relations of same query level using this query: SELECT * FROM RQ, (SELECT * FROM RP ORDER BY ABS(RP.t - RQ.t) LIMIT 1) AS RA RQ.t in subquery seems to be the problem. How can I avoid this error? How can I get access from subquery to RQ ? Erwin Brandstetter Update: LATERAL joins allow that and were introduced with Postgres 9.3. Details: What is the difference between LATERAL and a subquery in

I have a correlated subquery that will return a list of quantities, but I need the highest quantity, and only the highest. So I tried to introduce an order by and a LIMIT of 1 to achieve this, but MySQL throws an error stating it doesn't yet support limits in subqueries. Any thoughts on how to work around this? SELECT Product.Name, ProductOption.Name, a.Qty, a.Price, SheetSize.UpgradeCost, FinishType.Name, FinishOption.Name, FinishTierPrice.Qty, FinishTierPrice.Price FROM `Product` JOIN `ProductOption` ON Product.idProduct = ProductOption.Product_idProduct JOIN `ProductOptionTier` AS a ON a

I have a table that looks something like this: DataTable +------------+------------+------------+ | Date | DailyData1 | DailyData2 | +------------+------------+------------+ | 2012-01-23 | 146.30 | 212.45 | | 2012-01-20 | 554.62 | 539.11 | | 2012-01-19 | 710.69 | 536.35 | +------------+------------+------------+ I'm trying to create a view (call it AggregateView ) that will, for each date and for each data column, show a few different aggregates. For example, select * from AggregateView where Date = '2012-01-23' might give: +------------+--------------+----------------+--------------+---------

I have a piece of SQL which (you would think) wouldn't compile, but which instead deletes all rows from the target table. Consider this setup: create table TableA (ColumnA varchar(200)); create table TableB (ColumnB varchar(200)); insert TableA values ('A'),('B'),('C'); insert TableB values ('A'); Then the following sql: --Returns all rows from TableA select * from TableA; --Does not error (ColumnA does not exist on TableB) delete TableA where ColumnA in (select ColumnA from TableB) --No Rows are returned select * from TableA; The delete statement above causes all rows to be removed from