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.
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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