I have a Fairly large DB containing mostly html documents. I wrote a python script that fetches always 1000 html documents at once from my database
cur.execute("SELECT id,url,html_file FROM html ORDER BY id OFFSET %s LIMIT %s;" % (offset, limit)). Afterwards I do a bit of regular expression on the html documents. Because I have a lot html files to go through I track the time how long each step takes. For the first 4000 times retrieving the html documents from the database took around 3 seconds. Now it is up to 4 Minutes. I'm running a Windows 7 machine and took a look at the Resource Monitor. The Database is on its own HDD with nothing else on it. But in the Resource Monitor i could see that the System Process constantly reads something out of my Postgres Folder
Image PID File Read (B/sec) Write (B/sec) Total (B/sec) I/O Priority Response Time (ms) System 4 E:\PostgreSQL\data\base\10596207\10598404.1 13,855,193 0 13,855,193 Normal 9 System 4 E:\PostgreSQL\data\base\10596207\10598404.1 11,182,442 0 11,182,442 Normal 9
so the question is is this normal or is the system process the culprit here and how do I stop it? (malware and virus scanning are disabled as well as search indexing)
I followed the advice from Reaces and found that superfetch was already disabled. But I also downloaded the process explorer from sysinternals and there I observed something strange. After about the same amount of parsed html documents (about 4,513,000 fetched in package of a 1,000 from the database) the postgres process begins to write a lot of stuff to the HDD up to this point it did read ~3TB from disk and write ~100mb.
But now about 3000 html documents later the process explorer shows me that the postgress proces did write 10GB to the HDD with heavy write access for every
cur.execute("SELECT id,url,html_file FROM html ORDER BY id OFFSET %s LIMIT %s;" % (offset, limit)) command
What is the database doing and how do I stop it? my best guess is that the database orders it self to be more efficient the next time but that does not help me now.