But Kai, using that approach, you will get an inconsistent view of the records. Some child records will be missing.
the way that ORMs do this is with two queries... select distinct P.ID from PERSON P, DEPARTMENT D .... LIMIT 100 select * from PERSON P, DEPARTMENT D ..... and P.ID in (23, 45, 63, .... 104) iBATIS cannot do that automatically. It's a limitation of not generating the SQL. You can achieve the same thing by writing both queries yourself though. Clinton On Wed, Sep 3, 2008 at 8:31 AM, Kai Grabfelder <[EMAIL PROTECTED]> wrote: > Hi Reuben, > > regarding your first problem: Have you tried to give a comma separated list > for the groupBy criteria? Just an idea, until now I was only grouping for > one element not multiple ones as it can get quite expensive to do n+1 joins > on several tables on the database level. > > regarding your second problem: I've used subselects in such cases that limit > the number record returned. This may be not the fastest solution for all > usescases but it works. In your case it could look like this: > > select * from book_table, other_join_tables where book_table.id = > other_join_tables.book_id and > book_table.id in (select id from book_table order by sort_crit desc limit > 100 offset 10) > > Regards > > Kai > > --- Original Nachricht --- > Absender: Clinton Begin > Datum: 03.09.2008 16:20 >> >> The second problem is a limitation that we cannot do anything about, >> which makes the rest of the conversation somewhat FYI only. >> >> The first problem does sound like a bug, but strangely I have unit >> tests confirming that this works. I'll try writing a few more to see >> if I can reproduce the problem. It very well might be the combination >> of keys being used in the groupBy attribute or something, but I'll >> check it out to see. >> >> Clinton >> >> On Wed, Sep 3, 2008 at 7:32 AM, Reuben Firmin <[EMAIL PROTECTED]> >> wrote: >>> >>> Anybody have any feedback on this? >>> >>> Thanks >>> Reuben >>> >>> ---------- Forwarded message ---------- >>> From: Reuben Firmin <[EMAIL PROTECTED]> >>> Date: Tue, Sep 2, 2008 at 11:26 AM >>> Subject: GroupBy issues (multiple child lists, Postgres limit/offset) >>> To: [email protected] >>> >>> >>> We are trying to resolve some N+1 query situations in our application, >>> and >>> are finding a couple of features of our appliation that seem to limit our >>> ability to use the "groupBy" solution. I'm wondering if there are aspects >>> of >>> the issues we aren't seeing. >>> >>> The problems are these: >>> 1. In places where we have an object structure that has a parent with >>> multiple child lists, it appears that we can't use groupBy to get all of >>> the >>> results with one query. For example, >>> class Book { >>> ... >>> List<Author> authors; >>> List<Comment> comments; >>> List<Subject> subjects; >>> ... >>> For this type of situation, it seems like our choices are to (a) use >>> groupBy >>> for one of the child lists, and selects in the resultMap for the other >>> children (doesn't completely solve N+1 problem, just reduces it), or (b) >>> using a cross-product join of all tables and a custom RowHandler to >>> manage >>> it all with one query. >>> >>> 2. We are using Postgresql, and taking advantage of the "limit" and >>> "offset" >>> keywords to help implement paging of the results we display - the "limit" >>> and "offset" values correspond to the "Results (offset) - (offset + >>> limit) >>> of (n)" message we can display to users. It seems that these aren't going >>> to >>> be compatible with a "groupBy" approach since "limit" and "offset" work >>> at >>> the resultSet level, and "groupBy" works by having a resultSet that's a >>> cross product of at least a couple of tables. That is, we want to rely on >>> the limit and offset ability at the database level (makes queries and >>> resultset handling simpler), but the values refer to domain entities and >>> not >>> resultset rows. We can use the keywords if we aren't worried about N+1 >>> selects, but the values will lose their domain entity meaning if we do >>> cross >>> product queries with groupBy. Is there any way that people have found >>> around >>> this? >>> >>> Thanks for any advice, >>> Reuben >>> >>> >> > >
