Performance of Text tables is relatively slow. This is due to two
things. First, it is relatively slow to read and parse a text
row, compared to binary rows in CACHED tables. Second, the
default amount of allocated cache is small.
You can speed it up a lot by increasing the cache for each text
table according to its size. For example, using cache_scale=16
results in about 185000 rows in the cache for the given table.
Regarding index creation, there is a better way to do it. You
first detach the source from the table by using SET TABLE x
SOURCE OFF, then create all the indexes, which takes no time,
then use SET TABLE x SOURCE ON
Fred
On Mon, 09 Nov 2009 19:10 +0530,
karthick.subbara...@cognizant.com wrote:
Hi,
I wanted to use HSQL DB Text table for querying on flat files. I
had no problem to start using it, documentations were very
helpful.
My files were all huge files and can go upto few million records.
I initially tried with small volumne file and performance was
good.
When I tried with a file sized (100K rows x 50 columns), I
started having huge performance problem and I am writing this to
know if I am doing anything wrong.
My experience with large file (100K x 50 cols)
(1) Aggregate functions on (100K rows x50 cols) file takes about
20 -30 mins.
(2) Tried indexing - Each index creation takes about 30 mins, so
if I have to query all 50 cols (which is what i have to do) then
index creation itself would take about 25 hrs (extrapolated
value).x
(3) When ever I connect to the file with Text table, each time it
takes about 30 mins.
(4) If I have any text table in the database, server start time
will be after 30 - 40 mins.
Question:
Is this the expected performance on (100K x 50 cols) files and my
file contains all Numeric (19,7) data. Just to add, I tried
running the server with memory parameters set to 1GB(Xms & Xmx
values) and that doesnt help as well.
Any help or suggestion on this would be very helpful.
Machine config - 2 GB Ram & Windows Vista OS
Thanks and Regards,
Karthick | Mob: +44 7502233737
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