Hi,

> I keep getting emails from this thread

Well, this is a mailing list, and you have subscribed to it.

No problem, I will unsubscribe you. Anyway it will be easier for you to use
StackOverflow and not this mailing list.

Regards,
Thomas


On Sat, Sep 21, 2013 at 9:53 PM, Gmail - Josh <[email protected]>wrote:

> Hi Thomas,
>
> I keep getting emails from this thread, so I assumed it was the one I
> posted, I did not mean to hijack any thread. Just the topic is a matter of
> urgency as it is my grade 11 final project due next week friday and I
> cannot get the database working.
>
> I have answered on the thread.
>
> Thanks for your replies,
> Josh
>
> Sent from my BlackBerry 10 smartphone.
>   *From: *Thomas Mueller
> *Sent: *Saturday 21 September 2013 9:50 PM
> *To: *H2 Google Group
> *Reply To: *[email protected]
> *Subject: *Re: [h2] lots of schemes vs lot of tables?
>
> Hi Josh,
>
> Your question is not related to the subject of this thread, which is "lots
> of schemes vs lot of tables?". Please don't try to hijack other threads.
>
> Also, it seems to me you have asked this question here:
> http://stackoverflow.com/questions/18924873/h2-embedded-database-loses-tables-data-on-deploymen
>  - and you got questions and comments, but didn't answer any of them.
>
> Regards,
> Thomas
>
>
>
> On Sat, Sep 21, 2013 at 9:39 PM, Gecko Inked <[email protected]>wrote:
>
>> Hi guys,
>>
>> so I have only 1 table called table1 in the database, but when I transfer
>> the h2.jar file over to another pc (exported as a file along with all the
>> other .jars in the project) and then the table is gone on the new pc.
>>
>> How do I get it to stay?
>>
>> Thanks,
>> Josh
>>
>>
>> On Sat, Sep 21, 2013 at 9:34 PM, Pablo Beltran <[email protected]>wrote:
>>
>>> Hi,
>>>
>>> schema and table metadata is kept fully in memory
>>>
>>>
>>> I see the problem. For instance, how much memory would require
>>> (approximately) 10.000 schemes x 10 tables = 110.000 object medata? Would
>>> that magnitude order be of Megas or Gigas? Megas might be acceptable.
>>> Gigas, hmm...
>>>
>>> Regards,
>>> Pablo.
>>>
>>> 2013/9/21 Thomas Mueller <[email protected]>
>>>
>>>> Hi,
>>>>
>>>> You are right of course. The problem I see is that you might end up
>>>> with a lot of schemas and a lot of tables, if you try to keep all data in
>>>> one database. For H2, schema and table metadata is kept fully in memory,
>>>> I'm not sure about other database engines. And at some point you might want
>>>> to keep some data that applies to all users.
>>>>
>>>> Regards,
>>>> Thomas
>>>>
>>>>
>>>> On Sat, Sep 21, 2013 at 9:19 AM, Pablo Beltran <[email protected]>wrote:
>>>>
>>>>> Hi Thomas,
>>>>>
>>>>> You are right, many schemas implies many tables.
>>>>>
>>>>> What I like of the may schemas approach (one per user) is that I can
>>>>> partition the data very neatly and resolve the data isolation simply with
>>>>> the connection:
>>>>>
>>>>> public Connection getConnection(String userId){
>>>>>     Connection conn = pool.getConnection();
>>>>>    * conn.createStatement().execute("set schema USER_"+userId);*
>>>>>     return conn;
>>>>> }
>>>>>
>>>>> The code above ensures that the user views only his tables (and data)
>>>>> by default.
>>>>>
>>>>> I'm not expert and you know much better the database internals, how it
>>>>> scales and how to prevent future problems... I'll change my current model
>>>>> (many schemas) to a single schema.
>>>>>
>>>>> Regards,
>>>>> Pablo
>>>>>
>>>>> 2013/9/21 Thomas Mueller <[email protected]>
>>>>>
>>>>>> Hi
>>>>>>
>>>>>> You could do both, but I would use one schema. (the title of the mail
>>>>>> is incorrect: many schemas is many tables, which is what I would avoid).
>>>>>>
>>>>>> Regards, Thomas
>>>>>> Am 12.09.2013 17:54 schrieb "Pablo Beltran" <[email protected]>:
>>>>>>
>>>>>>>  Hi,
>>>>>>>
>>>>>>> I need to store lot of data (even millions of records) on an small
>>>>>>> bunch of tables for many users (thousands). What would be would be the 
>>>>>>> best
>>>>>>> approach?
>>>>>>>
>>>>>>> 1. Create one schema per user, so each user would have its own
>>>>>>> private table:  select * from USER_N.TABLE_X
>>>>>>>
>>>>>>> 2. Create one table shared by all the users and add a new column to
>>>>>>> identify the data by user: select * from PUBLIC.TABLE_X where user=N;
>>>>>>>
>>>>>>> Thanks!
>>>>>>> Pablo.
>>>>>>>
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