Derby
  1. Derby
  2. DERBY-581

Modify SQL to skip N rows of the result and return the next M rows

    Details

    • Type: Improvement Improvement
    • Status: Closed
    • Priority: Minor Minor
    • Resolution: Fixed
    • Affects Version/s: None
    • Fix Version/s: 10.5.1.1
    • Component/s: SQL
    • Labels:
      None
    • Environment:
      All

      Description

      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 <mikem_app@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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            • Assignee:
              Bryan Pendleton
              Reporter:
              Craig L Russell
            • Votes:
              14 Vote for this issue
              Watchers:
              6 Start watching this issue

              Dates

              • Created:
                Updated:
                Resolved:

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