On 10/30/2010 4:48 PM, Viktor BojoviÄ wrote:
Hi, i have very big XML documment which is larger than 50GB and want to import it into databse, and transform it to relational schema. When splitting this documment to smaller independent xml documments i get ~11.1mil XML documents. I have spent lots of time trying to get fastest way to transform all this data but every time i give up because it takes too much time. Sometimes more than month it would take if not stopped. I have tried to insert each line as varchar into database and parse it using plperl regex.. also i have tried to store every documment as XML and parse it, but it is also to slow. i have tried to store every documment as varchar but it is also slow when using regex to get data. many tries have failed because 8GB of ram and 10gb of swap were not enough. also sometimes i get that more than 2^32 operations were performed, and functions stopped to work. i wanted just to ask if someone knows how to speed this up. thanx in advance -- --------------------------------------- Viktor BojoviÄ --------------------------------------- Wherever I go, Murphy goes with me
It might help a little to know a few more detail. Like what is in the xml doc. When you say convert to relational, do you mean multiple tables (and no more xml tags), or do you mean a table with a blob column that contains some xml fragment?
I have imported millions of rows and never run out of memory. The database will take care of itself unless you are doing something really bad. I'd guess its the xml parser running out of ram and not the database. Are you using dom or sax?
You say it took too much time. What did? The xml parsing? The database inserts? Were you cpu bound or io bound?
What tools are you using to write this in? What OS are you on? What version of PG? You know... just a "few" more details :-)
-Andy -- Sent via pgsql-general mailing list (pgsql-general@xxxxxxxxxxxxxx) To make changes to your subscription: http://www.postgresql.org/mailpref/pgsql-general
