Re: multi terabyte fulltext searching

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
>>>
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>>>
>>
>>
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>
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