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
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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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