Re: Large dataset performance
- From: "Cimode" <cimode@xxxxxxxxxxx>
- Date: 21 Mar 2007 02:31:24 -0700
On Mar 20, 10:53 pm, "jma" <junkmailav...@xxxxxxxxx> wrote:
Hello Cimode,Then you know what to do. Understand better set operations on SQL and
first let me say that you're right I am far away from being literate
in SQL.
read books about relational model that will help you.
Introduction to database systems - CJ DATE
However, consider that I am simulating the way a clientAny practice or implementation should first be guided by a good grasp
application would be writing data to the database and this cannot
change... I would really love to read directly from a binary stream
into a db table, so that the performance would be adequate. Such a
solution would fit me very well, since my data have a persistent
pattern, for example int,double,double,double. Anyway, thanks for your
remark
of underlying principles. The chances of success in building decent
systems without knowledge is close to NULL (One *may* get lucky
sometimes).
Hope this helps...
BR
jma
Ï/Ç Cimode Ýãñáøå:
On 20 mar, 16:39, "jma" <junkmailav...@xxxxxxxxx> wrote:
<<I would like your opinion and experience on the performance of
writing
large datasets. I am writing in one loop about 3.5 million rows where
each row is an integer and 3 doubles to an Interbase db. All in all
it's about 100MB. My time measurement was 210 seconds. Is this normal?
To me it appears as a veeerryyy long time.... >>
The principle reason I see is the *Looping* algirythmics which is not
what a db does best. I suggest you learn better the power of set
operation through a better mastery of good ol SQL...Hope this helps...
.
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