On 12 May 2005, at 15:08, Alex Turner wrote:

Having local sessions is unnesesary, and here is my logic:

Generaly most people have less than 100Mb of bandwidth to the internet.

If you make the assertion that you are transferring equal or less
session data between your session server (lets say an RDBMS) and the
app server than you are between the app server and the client, an out
of band 100Mb network for session information is plenty of bandwidth.
This also represents OLTP style traffic, which postgresql is pretty
good at.  You should easily be able to get over 100Tps.  100 hits per
second is an awful lot of traffic, more than any website I've managed
will ever see.

Why solve the complicated clustered sessions problem, when you don't
really need to?

100 hits a second = 8,640,000 hits a day. I work on a site which does > 100 million dynamic pages a day. In comparison Yahoo probably does > 100,000,000,000 (100 billion) views a day
if I am interpreting Alexa's charts correctly. Which is about 1,150,000 a second.

Now considering the site I work on is not even in the top 1000 on Alexa, theres a lot of sites out there which need to solve this problem I would assume.

There are also only so many hash table lookups a single machine can do, even if its a Quad Opteron behemoth.

Alex Turner

On 5/11/05, PFC <[EMAIL PROTECTED]> wrote:

However, memcached (and for us, pg_memcached) is an excellent way to
horizontal scalability by taking disposable data (like session
out of the database and putting it in protected RAM.

So, what is the advantage of such a system versus, say, a "sticky
sessions" system where each session is assigned to ONE application server
(not PHP then) which keeps it in RAM as native objects instead of
serializing and deserializing it on each request ?
I'd say the sticky sessions should perform a lot better, and if one
machine dies, only the sessions on this one are lost.
But of course you can't do it with PHP as you need an app server which
can manage sessions. Potentially the savings are huge, though.

On Google, their distributed system spans a huge number of PCs and it has
redundancy, ie. individual PC failure is a normal thing and is a part of
the system, it is handled gracefully. I read a paper on this matter, it's
pretty impressive. The google filesystem has nothing to do with databases
though, it's more a massive data store / streaming storage.

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