Iwud H8u wrote:
Hi Rick,

That is a good suggestion. I had originally envisaged a new row for each
child in the parent_info table. Your schema suggestion looks good expect,
when deleting a child record, I will now have to delete the parent from
parent_info after checking no other child has the same parent!
Hi Jay,

You may be able to get the behavior you want by adding a DELETE trigger to child_info or to progeny. The trigger would fire a Java PROCEDURE to keep your tables in sync. For more information, please see the "CREATE TRIGGER statement" section of the Reference Guide. Alternatively, if the orphaned parent_info rows are harmless cruft, you might get away with garbage-collecting them lazily when your application is idle.
I am still hoping that someone might answer my original memory
usage/computational overhead question on row deletion.... Do you have any
ideas about that?
It sounds as though you have embedded Derby inside a sophisticated UI. Why do you think the memory/cpu burp is in Derby rather than somewhere else in your application?

Regards,
-Rick


Thanks,
Jay


Rick Hillegas-2 wrote:
Hi Jay,

I have a couple comments about your schema:

1) You don't need to create ChildIdIndex. This is because Derby creates backing indexes for UNIQUE, PRIMARY KEY, and FOREIGN KEY constraints. For more information, please see the section titled "CONSTRAINT clause" in the Derby Reference Guide: http://db.apache.org/derby/docs/10.4/ref/

2) I am puzzled by the relationship between child_info and parent_info. Do you really intend a parent to have only one child? Or have you denormalized the parent_info table so that each parent has multiple rows in parent_info, one for each of their children? You may want to consider normalizing this schema as follows:

a) remove the child_id column from parent_info

b) create an additional table to model the many-to-many relationship between parents and children:

create table progeny
(
parent_id int not null foreign key references parent_info( parent_id ) on delete cascade, child_id int not null foreign key references child_info( child_id ) on delete cascade
)

Hope this helps,
-Rick

Iwud H8u wrote:
Michael Segel wrote:
Since you're a bit cryptic..

 Hmm sorry I wasn't intending to be cryptic ... was trying not to be
verbose!
You are right about the column IDs ... lemme post the actual SQL
statements for creating the tables themselves... nothing confidential in
them I guess.... :)

==================== tables  ==========================
 CREATE TABLE Child_info (child_id INTEGER NOT NULL PRIMARY KEY
GENERATED
ALWAYS AS IDENTITY (START WITH 1, INCREMENT BY 1) , first_name VARCHAR(32) NOT NULL, middle_name VARCHAR(32) NOT NULL, last_name VARCHAR(32) NOT NULL)

CREATE TABLE parent_info (parent_id INTEGER NOT NULL PRIMARY KEY
GENERATED
ALWAYS AS IDENTITY (START WITH 1, INCREMENT BY 1) , " +
                        "first_name VARCHAR(32) NOT NULL, middle_name
VARCHAR(32) DEFAULT ' ', " +
                        "last_name VARCHAR(32) NOT NULL,  child_id
INTEGER
NOT NULL ,
FOREIGN KEY(child_id) REFERENCES Child_info (child_id) ON DELETE
CASCADE)

CREATE TABLE attendance_info (attendance_id INTEGER NOT NULL PRIMARY KEY
GENERATED ALWAYS AS IDENTITY (START WITH 1, INCREMENT BY 1) , monday VARCHAR(16),
                        tuesday VARCHAR(16), wednesday VARCHAR(16) ,
thursday VARCHAR(16) ,
                        friday VARCHAR(16) ,
UNIQUE (child_id) , FOREIGN KEY(monday) REFERENCES sessions (session_name) ON DELETE CASCADE, FOREIGN KEY(tuesday) REFERENCES sessions
(session_name) ON DELETE CASCADE, FOREIGN KEY(wednesday) REFERENCES
sessions (session_name) ON DELETE CASCADE, FOREIGN KEY(thursday) REFERENCES sessions (session_name) ON DELETE CASCADE, FOREIGN KEY(friday) REFERENCES sessions (session_name) ON DELETE CASCADE, FOREIGN KEY(room_name) REFERENCES rooms (room_name) ON DELETE CASCADE, FOREIGN KEY(child_id) REFERENCES Child_info
(child_id)  ON DELETE CASCADE )

As you can see the lines in bold declare the primary key and foreign
keys
(with on delete cascade).
I am guessing child_id does not need a separate index to be generated
because it is the primary key in Child_info table and atttendance_info
tables. However child_id cant be either unique or primary in parent_info
table because there will be atleast two parents with the same child_id.

I however created and index on this table using
CREATE INDEX ChildIdIndex ON PARENT_INFO(CHILD_ID)

My query times for something like
DELETE FROM CHILD_INFO WHERE CHILD_ID = 1

is around 6 seconds with only two row entries CHILD_INFO, 6 row entries
in
PARENT_INFO and just one entry in ATTENDANCE_INFO!

Hope this makes sense...
On Table A, you show Col_x_ID, but in your foreign key, you show Col_x.
I'm
going to assume that you meant Col_x_ID.

On Table A, do you have an index on Col_x_ID? Is Col_x_ID a unique ID?
If
so, is this the primary key for the table?

That would be the first thing to look at. If no index exists, my guess
would
be that you're doing a sequential table scan.

HTH

-Mike

_____ From: jay _ [mailto:[EMAIL PROTECTED] Sent: Monday, August 18, 2008 4:16 AM
To: [email protected]
Subject: memory usage for row delete cascade

Hi all,

I have a database with three tables (Table_A, Table_B and Table_C).
There
is
one identity column in Table_A which acts as a foreign key in Tables B
and
C
with an ON DELETE CASCADE.

Here is the table structure .... Table A : Col_x_ID , Coly_Name, .... Table B : Col_p_ID, Col_q_Name, .... Col_x ... FOREIGN KEY(Col_x)
REFERENCES
Table A (Col_x) ON DELETE CASCADE)
Table B : Col_m_ID, Col_n_Name, .... Col_x ... FOREIGN KEY(Col_x)
REFERENCES
Table A (Col_x) ON DELETE CASCADE)

When I now try to delete a row in Table_A, I experience a spike in CPU
usage
to almost 100% and also the memory  usage bumps from 40MB to 100MB. This
remains sustained for a few seconds (like 5 seconds) causing the UI to
almost freeze in my application. Even worse, it causes an Out of Memory
Exception!

I am pretty sure that something isn't quite right with what I am
experiencing. I know row inserts and deletes are computationally
expensive,
but surely it has to be less expensive than what I am experiencing.
I'd appreciate if anyone can tell me how to optimise this or is there a
more
efficient method to delete entries with a cascade effect?

I am running Derby version 10.4.1.3 on MacOSX with JRE 1.5 version 6.

Thanks,
Jay

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