[jira] Updated: (DERBY-581) Modify SQL to skip N rows of the result and return the next M rows

["Andrew McIntyre (JIRA)" <de...@db.apache.org>]

     [ http://issues.apache.org/jira/browse/DERBY-581?page=all ]

Andrew McIntyre updated DERBY-581:
----------------------------------

    Component: SQL
                   (was: Unknown)

> Modify SQL to skip N rows of the result and return the next M rows
> ------------------------------------------------------------------
>
>          Key: DERBY-581
>          URL: http://issues.apache.org/jira/browse/DERBY-581
>      Project: Derby
>         Type: New Feature
>   Components: SQL
>  Environment: All
>     Reporter: Craig Russell
>     Priority: Minor

>
> I agree that the information should be expressed in SQL so that the query optimized and execution strategy can know what the user needs in terms of cardinality.
> I'd also like to ask that when we consider extending the SQL in this manner we consider skipping the first N rows and returning the next M rows.
> Craig
> On Sep 20, 2005, at 10:19 AM, Suavi Ali Demir wrote:
> Another little detail about optimization is that Statement.setMaxRows() kind of functions on the JDBC side may not be sufficient since it is called after SQL statement is prepared and returned as an object (after query plan is built). Therefore, it may be necessary to have language syntax to indicate the intention to fetch first 1000 rows only, so that when the query is prepared, this intention can be taken into account.
> Regards,
> Ali
> Mike Matrigali <mi...@sbcglobal.net> wrote:
> As craig points out it is important in performance testing to say
> exactly what you are measuring. In general Derby will try to
> stream rows to the user before it has finished looking at all rows.
> So often looking at the first row will and stopping will mean that
> many rows have not been processed. BUT when an order by is involved
> and the query plan either has no appropriate matching index, or decides
> to use a different index then all the rows are processed, then they are
> sent to the sorter and finally after all rows are processed they are
> streamed to the client.
> So as you have seen reading the first 1000 rows of a much larger data
> set can happen very quickly.
> As subsequent mail threads have pointed out, returning the top 1000
> sorted rows is an interesting problem which could be costed and executed
> differently if that information was pushed into the optimizer and the
> sorter (and medium level projects were done in those areas).
> > On Sep 16, 2005, at 4:42 PM, Scott Ogden wrote:
> > 
> > 
> > 
> > I have observed some interesting query performance behavior and am
> > hoping someone here can explain. 
> > 
> > In my scenario, it appears that an existing index is not being used for
> > the 'order by' part of the operation and as a result the perfo rmance of
> > certain queries is suffering. Can someone explain if this is supposed
> > to be what is happening and why? Please see below for the specific
> > queries and their performance characteristics. 
> > 
> > Here are the particulars:
> > 
> > ---------------------------------
> > 
> > create table orders(
> > 
> > order_id varchar(50) NOT NULL
> > 
> > CONSTRAINT ORDERS_PK PRIMARY KEY,
> > 
> > amount numeric(31,2),
> > 
> > time date,
> > 
> > inv_num varchar(50),
> > 
> > line_num varchar(50),
> > 
> > phone varchar(50),
> > 
> > prod_num varchar(50));
> > > --Load a large amount of data (720,000 records) into the 'orders' table
> > > 
> > --Create an index on the time column as that will be used i n the 'where'
> > clause.
> > 
> > create index IX_ORDERS_TIME on orders(time);
> > > 
> > --When I run a query against this table returning top 1,000 records,
> > this query returns very quickly, consistently less than .010 seconds.
> >> 
> >>
> >> select * from orders
> >>
> >> where time > '10/01/2002' and time < '11/30/2002'
> >>
> >> order by time;
> >>
> >> --Now run a similarly query against same table, returning the top
> >> 1,000 records.
> >>
> >> --The difference is that the results are now sorted by the primary key
> >> ('order_id') rather than 'time'. 
> >>
> >> --This query returns slowly, approximately 15 seconds. Why??
> >>
> >> select * from orders
> >>
> >> where time > '10/01/2002' and time < '11/30/2002'
> >>
> >> order by order_id;
> >>
> >> --Now run a third query against the same 'orders' table, removing the
> >> where clause
> >>
> >> --This query returns quickly, around .010 seconds. 
> >>
> >> 
> >>
> >> select * from orders
> >>
> >> order by order_id;
> >>

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