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

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As stated in the previous email if I use partitioning then queries
will be executed sequentially - i.e., instead of log(n) it would be
(# partitions) * log(n). Right?

Benjamin

On Aug 25, 2007, at 9:18 AM, Joshua D. Drake wrote:

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> Benjamin Arai wrote:
>> 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.
>
> What makes you think you are loosing performance by using
> partitioning?
>
> Joshua D. Drake
>
>>
>> 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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>>>
>
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