Oww ... sorry man ... I make a mistake ... there are 10.000 users and 1.000 from 10.000 try to access at the same time the database. Can you help me again with this condition? Grettings Kilmer Cruz ----- Original Message ----- From: "Joshua D. Drake" <jd@commandprompt.com> To: "Kilmer C. de Souza" <listas@miti.com.br> Cc: <pgsql-general@postgresql.org> Sent: Wednesday, April 28, 2004 3:56 PM Subject: Re: Postgre and Web Request > > > (the manual stated the following: there is a main process > > called postmaster. It starts new processes to each different request and > > each different user ... I dont understand very well ... please correct me > > if I`m wrong) > > If all users try to access, through WEB, at same time the database, > > what happens: > > Well the likelyhood of 10,000 users accessing the website at the EXACT > same time is highly unlikely (exponentially so). Remember the web is > stateless so each full request is processed and then the connection is > terminated. This means that connection to postgresql will also be > dropped (unless you use something like connection pooling or persistent > connections). > > > 1. With the OS? Will it crash? > > See above. And actually if you really did have a situation where 10,000 > users accessed the site at the exact same time you would need a pretty > large cluster to handle it... regardless of PostgreSQL. > > > 2. Will the Postmaster process startup 10.000 diferent processes > > at the same time? > > See above. > > > 3. What about performance? Is there any peformance downgrade? > > Depends on the machine but that would be the case with any database. > > > > 4. What is the best solution for this problem? > > You are asking for a solution to a problem that doesn't really exist at > the database level. You need to spec your hardware requirements overall > and get an firmer understaning of your application requirements. Like I > said, it is highly unlikely that your demands are as high as you mention. > > > > 5. How many simultaneos requests may the Postmaster open > > withouth decreasing perfomance? > > > > Depends on the machine... ram, amount of hard disks (not space, quantity > of disks) etc... > > Sincerely, > > Joshua D. Drake > > > > > > Grettings, > > Kilmer Cruz > > > > > > > > ---------------------------(end of broadcast)--------------------------- > > TIP 8: explain analyze is your friend > > ---------------------------(end of broadcast)--------------------------- TIP 1: subscribe and unsubscribe commands go to majordomo@postgresql.org