Re: Large databases, performance
Nigel J. Andrews <nandrews@investsystems.co.uk>
From: "Nigel J. Andrews" <nandrews@investsystems.co.uk>
To: Shridhar Daithankar <shridhar_daithankar@persistent.co.in>
Cc: pgsql-general <pgsql-general@postgresql.org>
Date: 2002-10-03T12:56:03Z
Lists: pgsql-hackers, pgsql-performance
Shridhar, It's one hell of a DB you're building. I'm sure I'm not the only one interested so to satisfy those of us who are nosey: can you say what the application is? I'm sure we'll all understand if it's not possible for you mention such information. -- Nigel J. Andrews On Thu, 3 Oct 2002, Shridhar Daithankar wrote: > Hi, > > Today we concluded test for database performance. Attached are results and the > schema, for those who have missed earlier discussion on this. > > We have (almost) decided that we will partition the data across machines. The > theme is, after every some short interval a burst of data will be entered in > new table in database, indexed and vacuume. The table(s) will be inherited so > that query on base table will fetch results from all the children. The > application has to consolidate all the data per node basis. If the database is > not postgresql, app. has to consolidate data across partitions as well. > > Now we need to investigate whether selecting on base table to include children > would use indexes created on children table. > > It's estimated that when entire data is gathered, total number of children > tables would be around 1K-1.1K across all machines. > > This is in point of average rate of data insertion i.e. 5K records/sec and > total data size, estimated to be 9 billion rows max i.e. estimated database > size is 900GB. Obviously it's impossible to keep insertion rate on an indexed > table high as data grows. So partitioning/inheritance looks better approach. > > Postgresql is not the final winner as yet. Mysql is in close range. I will keep > you guys posted about the result. > > Let me know about any comments.. > > Bye > Shridhar