Hello,
On 11/15/11 10:09 PM, Javier Gallart wrote:
Hello
coming back to the topic related to mtree, to be able to set
values via
mi/rpc -- it won't be that difficult to add such functionality.
Usually
with a tree is mainly reading, due to fast matching on tree indexing.
The question is how many times/often do you need to change values and
how many of them at the same time (more or less).
I was also thinking about that: our application works in such a way
that the full tree is recalculated every 15 minutes. Currently we have
aound 60 branches with 150000 entries each.
I assume many times the changes will be somewhere down the tree, since
the first part of the number is usually the same (e.g., country
code and
operator prefix). To update the tree at runtime, while there are reads
on it, there must be used a lock to be safe an consistent. If you
do lot
of writes and very often, then you keep the tree structure locked
a lot,
slowing the search.
That's the case, tname is rarely updated, it's tvalue the column that
we normally update.
I guess you meant actually tprefix is not updated -- tname is table
name, tprefix is the prefix used to build the tree. What would be the
percentage of tvalue updates, do you have add/remove of tprefix-es?
Can you estimate the number of writes and how often they would be on a
daily basis? There might be other solutions to look at, if writes are
very often.
From the numbers above, let's say that we need to update around 8M
records every 15 minutes (we expect this number will keep steadily
increasing...)
But not all of them change the value, right?
As a side note, I've looked at how to implement the mt_match
equivalent in redis and it does't look that hard using kamailio
s.prefixed transformation (as you suggested) and redis sorted sets.
I'll need to make more tests to check the performance, I'll share the
results.
I have used this solution with mysql (using a table structure in memory
of mysql server), since the changes could have been done in mysql in
normal way, in one update query, which is a sync operation. Does redis
do any caching or is using always the disk file db?
Cheers,
Daniel
Thanks!
Javi
Cheers,
Daniel
Regards
Javi
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