Query loading non-candidate subclasses
Given a class hierarchy as follows:
A
B extends A
C extends A
When I execute a query looking only for B.class Kodo attempts to load C,
even though its not a possible result from the query. Its quite irritating,
is there any way to control this? Is it a bug or a side effect of something
else?
java.lang.ClassNotFoundException: B
INFO - [junit] at
kodo.jdbc.runtime.JDBCStoreManager.loadSubclasses(JDBCStoreManager.java:1211
INFO - [junit] at
kodo.jdbc.runtime.JDBCStoreManager.addClassConditions(JDBCStoreManager.java:
958)
INFO - [junit] at
kodo.jdbc.runtime.JDBCStoreManager.selectMappings(JDBCStoreManager.java:921)
INFO - [junit] at
kodo.jdbc.runtime.JDBCStoreManager.access$300(JDBCStoreManager.java:33)
INFO - [junit] at
kodo.jdbc.runtime.JDBCStoreManager$SelectImpl.selectInternal(JDBCStoreManage
r.java:1332)
INFO - [junit] at
kodo.jdbc.sql.AbstractSelect.select(AbstractSelect.java:308)
INFO - [junit] at
kodo.jdbc.sql.AbstractSelect.select(AbstractSelect.java:299)
INFO - [junit] at
kodo.jdbc.query.JDBCExpressionFactory.select(JDBCExpressionFactory.java:137)
INFO - [junit] at
kodo.jdbc.query.JDBCQuery.executeQuery(JDBCQuery.java:111)
INFO - [junit] at
kodo.query.JDOQLQuery$DataStoreQueryExecutor.executeQuery(JDOQLQuery.java:45
4)
INFO - [junit] at
kodo.query.AbstractQuery.executeWithMap(AbstractQuery.java:725)
Thanks,
Dylan
Are you using Kodo 3.1? It sounds like you'd need to define A to use a
virtual mapping (part of Kodo 3.1's horizontal mapping support), and
then B and C both to use base mappings, B's subclasses to use flat
mappings, and C's subclasses to use vertical.
-Patrick
D. Wilson wrote:
(The inheritance tree is a little more complicated than I indicated)
The side of the tree where B lives are all flat mapped to one table
The side of the tree where C lives is vertically mapped to its own table
therefore B and C are not in the same table.
Dylan
"Patrick Linskey" <[email protected]> wrote in message
news:[email protected]...
What does your mapping info look like? In particular, what are you doing
for a subclass strategy?
-Patrick
D. Wilson wrote:
Given a class hierarchy as follows:
A
B extends A
C extends A
When I execute a query looking only for B.class Kodo attempts to load
C,
even though its not a possible result from the query. Its quiteirritating,
is there any way to control this? Is it a bug or a side effect ofsomething
else?
java.lang.ClassNotFoundException: B
INFO - [junit] at
kodo.jdbc.runtime.JDBCStoreManager.loadSubclasses(JDBCStoreManager.java:1211
INFO - [junit] at
kodo.jdbc.runtime.JDBCStoreManager.addClassConditions(JDBCStoreManager.java:
958)
INFO - [junit] at
kodo.jdbc.runtime.JDBCStoreManager.selectMappings(JDBCStoreManager.java:921)
INFO - [junit] at
kodo.jdbc.runtime.JDBCStoreManager.access$300(JDBCStoreManager.java:33)
INFO - [junit] at
kodo.jdbc.runtime.JDBCStoreManager$SelectImpl.selectInternal(JDBCStoreManage
r.java:1332)
INFO - [junit] at
kodo.jdbc.sql.AbstractSelect.select(AbstractSelect.java:308)
INFO - [junit] at
kodo.jdbc.sql.AbstractSelect.select(AbstractSelect.java:299)
INFO - [junit] at
kodo.jdbc.query.JDBCExpressionFactory.select(JDBCExpressionFactory.java:137)
INFO - [junit] at
kodo.jdbc.query.JDBCQuery.executeQuery(JDBCQuery.java:111)
INFO - [junit] at
kodo.query.JDOQLQuery$DataStoreQueryExecutor.executeQuery(JDOQLQuery.java:45
4)
INFO - [junit] at
kodo.query.AbstractQuery.executeWithMap(AbstractQuery.java:725)
Thanks,
Dylan
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ekoekopur wrote:
i compare query select with non-partition key condition in table partition with 3, 4 and 6 partition.
time execution for 3 partition faster then 4 partition, time execution for 4 partition faster than 6 partition.
i know processing query select is selection all partition, but i don't know what make time execution different between 3, 4 and 6 partition??
whether the transfer from one partition to another partition takes time?
this example sql trace query select for 3,4 and 6 partition
3 partition
SELECT *
FROM
EQU_PARAM_MONITORINGHASH WHERE TO_CHAR(time_stamp,'mm/yy')=('02/09')
call cpu elapsed disk rows
Parse 0.00 0.00 0 0
Execute 0.00 0.00 0 0
Fetch 5.70 7.57 25291 1157583
total 5.70 7.57 25291 1157583
Parsing user id: 61 (SKENARIO1)
Rows Execution Plan
0 SELECT STATEMENT MODE: ALL_ROWS
0 PARTITION HASH (ALL) PARTITION: START=1 STOP=3
0 TABLE ACCESS MODE: ANALYZED (FULL) OF
'EQU_PARAM_MONITORINGHASH' (TABLE) PARTITION: START=1 STOP=34 partition
SELECT *
FROM
EQU_PARAM_MONITORINGHASH WHERE TO_CHAR(time_stamp,'mm/yy')=('02/09')
call cpu elapsed disk rows
Parse 0.00 0.00 0 0
Execute 0.00 0.00 0 0
Fetch 5.46 8.03 25126 1157583
total 5.46 8.03 25126 1157583
Parsing user id: 62 (SKENARIO2)
Rows Execution Plan
0 SELECT STATEMENT MODE: ALL_ROWS
0 PARTITION HASH (ALL) PARTITION: START=1 STOP=4
0 TABLE ACCESS MODE: ANALYZED (FULL) OF
'EQU_PARAM_MONITORINGHASH' (TABLE) PARTITION: START=1 STOP=46 partition
SELECT *
FROM
EQU_PARAM_MONITORINGHASH WHERE TO_CHAR(time_stamp,'mm/yy')=('02/09')
call cpu elapsed disk rows
Parse 0.00 0.00 0 0
Execute 0.00 0.00 0 0
Fetch 5.73 9.13 25190 1157583
total 5.73 9.13 25190 1157583
Parsing user id: 63 (SKENARIO3)
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0 SELECT STATEMENT MODE: ALL_ROWS
0 PARTITION HASH (ALL) PARTITION: START=1 STOP=6
0 TABLE ACCESS MODE: ANALYZED (FULL) OF
'EQU_PARAM_MONITORINGHASH' (TABLE) PARTITION: START=1 STOP=6
I'm assuming you recreated the table a couple of times with different numbers of hash partitions. (Tip: always use a power of two for the number of hash partitions - it keeps them all around the same size if you are using the feature on an appropriate data set.)
There isn't really enough difference in time within the database to make any sensible comment about the difference in times. I note that you have also edited out the fetch count for the 1.1 million rows fetched, and have not captured (or perhaps just not printed) the wait times, so we don't know where you spent the time inside and outside the database.
For all we can tell, the difference you are worried about might simply be network time on the fetch calls, and have nothing to do with the extract you've published.
Regards
Jonathan Lewis -
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Now the problem is that i want to perform execute-query for all the blocks.
If the cursor is on the non-database item of 1st block and i clicks on the "Enter-query" then i am getting message " This function can not be performed here".
If i click on the item of the database block and then clicks on the "Enter-query" and then "execute-query" it's working fine.
But i don't want to do in this way.
My cursor will be on the First block only and then it should perform execute-query.
I am using this non-database item to copy value of this item to the item of the database block item.
I think i make you understand about my problem.
I am using forms 10g on Window xp.
Please help me.Hi!
Simply create a enter-query trigger on the non-database-block:
begin
go_block ( 'database_block' );
enter_query;
end;If your search criteria is in the non-database-item in the first block,
you actually do not need the enter_query build-in.
Just create a execute-query trigger on the first block like:
begin
go_block ( 'database_block' );
execute_query;
go_item ( :System.trigger_item );
end;And in a pre-query trigger on the database-block copy the
value of your seach item into the item you want to search for.
Regards
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