Re: [PERFORM] Partioning tsearch2 a table into chunks and accessing via views

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This kind of disappointing, I was hoping there was more that could be
done.

There has to be another way to do incremental indexing without
loosing that much performance.

Benjamin

On Aug 24, 2007, at 6:29 PM, Joshua D. Drake wrote:

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> Brandon Shalton wrote:
>> Benjamin,
>>
>>
>>>
>>> In order to avoid the re-indexing I was thinking of instead creating
>>> a new
>>> table each month (building its indexes and etc) and accessing
>>> them all
>>> through a view. This way I only have to index the new data each
>>> month.
>>>
>>
>> Take a look at bizgres.org (based on postgres).
>>
>> They have a parent-child structure.
>>
>> The way i use it, is I have about 30M records a day that are inserted
>> into the database.
>>
>> Each day is a "child" table to the "parent".
>>
>> so example:
>>
>> the parent table is called "logfile"
>>
>> each day, is a child, with the structure like "logfile_YYMMDD"
>>
>> the "child" inherits the table structure of the parent, such that you
>> could query the child table name directly, or you run the query
>> against
>> the parent (ie. logfile table) and get all the data.
>>
>> the indexes are done on a per table basis, so new data that comes
>> in, is
>> a lesser amount, and doesn't require re-indexing.
>
>
> PostgreSQL can do all of this too.
>
> Sincerely,
>
> Joshua D. Drake
>
>>
>>
>> example:
>>
>> select * from logfile_070825 where datafield = 'foo'
>>
>> if i knew i wanted to specifically go into that child, or:
>>
>> select * from logfile where datafield = 'foo'
>>
>> and all child tables are searched and results merged. You can
>> perform
>> any kind of sql query and field structures are you normally do.
>>
>> the downside is that the queries are run sequentially.
>>
>> so if you had 100 child tables, each table is queried via indexes,
>> then
>> results are merged.
>>
>> but, this approach does allow me to dump alot of data in, without
>> having
>> the re-indexing issues you are facing.
>>
>> at some point, you could roll up the days, in to weekly child tables,
>> then monthly tables, etc.
>>
>> I believe Bizgres has a new version of their system that does
>> parallel
>> queries which would certainly speed things up.
>>
>> For your documents, you can do it by the day it was checked in, or
>> maybe
>> you have some other way of logically grouping, but the parent/child
>> table structure really helped to solve my problem of adding in
>> millions
>> of records each day.
>>
>> The closest thing in mysql is using merge tables, which is not really
>> practical when it comes time to do the joins to the tables.
>>
>> -brandon
>>
>> http://www.t3report.com - marketing intelligence for online marketing
>> and affiliate programs
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>
>> ---------------------------(end of
>> broadcast)---------------------------
>> TIP 6: explain analyze is your friend
>>
>
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