Deployment Strategies

I am working in a medium project that have in average 200 CMP entity beans. Actually,
we have a mapping between each data base table with a CMP. Every time that we
develop a new functionality the jar grows up and in fact, the deploying time grows
up. This is a big problem if we think that only we had develop the 5% of all project
and it spent much time making building of the jar. I would like to know if exist
an extrategy to control the growth of the jar, for example do not map every table
to an entity to make modules, and make build in independent form, one module for
one group of functionality. The problem is that in this project exist a group
of entities that are common for every functionality, Country, City, User, etc..
This is the only strategy in which we could think but we do not have a clear judgement
to decide which tables must to be mapped, only the ones that are not catalogs?.
If you can guide me about the better form to organize my project or show me a
knowledge base with similars problems I would thank you , very much.
Thanks in advance,
Monica A.

Which activities are taking a long time? The ejbc/appc step? or the boot of the
server and deployment of all the beans? Makes a difference, because splitting
up a large number of beans in to multiple JAR files might help with the time it
takes to create each JAR file but wouldn't help with deployment time.
I've seen applications with 300+ entity beans, and while it is a little painful
to run ejbc/appc and deploy the resulting ejb file, it wasn't bad enough to invalidate
the approach or require multiple files. How long are steps taking now? How many
beans, and what hardware are you using for the various steps in the process?
-Greg
http://www.amazon.com/exec/obidos/ASIN/047128128X/
"monica" <[email protected]> wrote:
>
I am working in a medium project that have in average 200 CMP entity
beans. Actually,
we have a mapping between each data base table with a CMP. Every time
that we
develop a new functionality the jar grows up and in fact, the deploying
time grows
up. This is a big problem if we think that only we had develop the 5%
of all project
and it spent much time making building of the jar. I would like to know
if exist
an extrategy to control the growth of the jar, for example do not map
every table
to an entity to make modules, and make build in independent form, one
module for
one group of functionality. The problem is that in this project exist
a group
of entities that are common for every functionality, Country, City, User,
etc..
This is the only strategy in which we could think but we do not have
a clear judgement
to decide which tables must to be mapped, only the ones that are not
catalogs?.
If you can guide me about the better form to organize my project or show
me a
knowledge base with similars problems I would thank you , very much.
Thanks in advance,
Monica A.

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    Which activities are taking a long time? The ejbc/appc step? or the boot of the
    server and deployment of all the beans? Makes a difference, because splitting
    up a large number of beans in to multiple JAR files might help with the time it
    takes to create each JAR file but wouldn't help with deployment time.
    I've seen applications with 300+ entity beans, and while it is a little painful
    to run ejbc/appc and deploy the resulting ejb file, it wasn't bad enough to invalidate
    the approach or require multiple files. How long are steps taking now? How many
    beans, and what hardware are you using for the various steps in the process?
    -Greg
    http://www.amazon.com/exec/obidos/ASIN/047128128X/
    "monica" <[email protected]> wrote:
    >
    I am working in a medium project that have in average 200 CMP entity
    beans. Actually,
    we have a mapping between each data base table with a CMP. Every time
    that we
    develop a new functionality the jar grows up and in fact, the deploying
    time grows
    up. This is a big problem if we think that only we had develop the 5%
    of all project
    and it spent much time making building of the jar. I would like to know
    if exist
    an extrategy to control the growth of the jar, for example do not map
    every table
    to an entity to make modules, and make build in independent form, one
    module for
    one group of functionality. The problem is that in this project exist
    a group
    of entities that are common for every functionality, Country, City, User,
    etc..
    This is the only strategy in which we could think but we do not have
    a clear judgement
    to decide which tables must to be mapped, only the ones that are not
    catalogs?.
    If you can guide me about the better form to organize my project or show
    me a
    knowledge base with similars problems I would thank you , very much.
    Thanks in advance,
    Monica A.

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    Dear Team members,
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    Thank you in advance

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    >
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