Re: multi terabyte fulltext searching - Mailing list pgsql-general

From Joshua D. Drake
Subject Re: multi terabyte fulltext searching
Date
Msg-id 460158D1.1030509@commandprompt.com
Whole thread Raw
In response to Re: multi terabyte fulltext searching  (Benjamin Arai <benjamin@araisoft.com>)
Responses Re: multi terabyte fulltext searching  (Benjamin Arai <benjamin@araisoft.com>)
List pgsql-general
Benjamin Arai wrote:
> True, but what happens when my database reaches 100 terabytes? Is 5
> seconds ok? How about 10?  My problem is that I do not believe the
> performance loss I am experiencing as the data becomes large is (log the
> # of records).  This worries me because I could be doing something
> wrong.  Or I might be able to do something better.

Well a couple of things you could do, especially if you have the ability
to throw hardware at it.

How many spindles do you have?

J


>
> Benjamin
>
> On Mar 21, 2007, at 8:49 AM, Joshua D. Drake wrote:
>
>> Benjamin Arai wrote:
>>> Hi,
>>>
>>> I have been struggling with getting fulltext searching for very large
>>> databases.  I can fulltext index 10s if gigs without any problem but
>>> when I start geting to hundreds of gigs it becomes slow.  My current
>>> system is a quad core with 8GB of memory.  I have the resource to throw
>>> more hardware at it but realistically it is not cost effective to buy a
>>> system with 128GB of memory.  Is there any solutions that people have
>>> come up with for indexing very large text databases?
>>
>> GIST indexes are very large.
>>
>>> Essentially I have several terabytes of text that I need to index.  Each
>>> record is about 5 paragraphs of text.  I am currently using TSearch2
>>> (stemming and etc) and getting sub-optimal results.  Queries take more
>>> than a second to execute.
>>
>> you are complaining about more than a second with a terabyte of text?
>>
>>
>>>  Has anybody implemented such a database using
>>> multiple systems or some special add-on to TSearch2 to make things
>>> faster?  I want to do something like partitioning the data into multiple
>>> systems and merging the ranked results at some master node.  Is
>>> something like this possible for PostgreSQL or must it be a software
>>> solution?
>>>
>>> Benjamin
>>>
>>> ---------------------------(end of broadcast)---------------------------
>>> TIP 9: In versions below 8.0, the planner will ignore your desire to
>>>       choose an index scan if your joining column's datatypes do not
>>>       match
>>>
>>
>>
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>
>
> ---------------------------(end of broadcast)---------------------------
> TIP 5: don't forget to increase your free space map settings
>


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