Ben Brehmer wrote:
Hello All,
I'm in the process of loading a massive amount of data (500 GB). After
some initial timings, I'm looking at 260 hours to load the entire 500GB.
You don't say how you are loading the data, so there's not much to go on. But generally, there are two primary ways to speed things up:
1. Group MANY inserts into a single transaction. If you're doing a row-at-a-time, it will be very slow. The "sweet spot" seems to be somewhere between 100 and 1000 inserts in a single transaction. Below 100, you're still slowing things down, above 1000, it probably won't make much difference.
2. Use the COPY command. This requires you to format your data into the form that COPY uses. But it's VERY fast.
Craig
10 days seems like an awfully long time so I'm searching for ways to
speed this up. The load is happening in the Amazon cloud (EC2), on a
m1.large instance:
-7.5 GB memory
-4 EC2 Compute Units (2 virtual cores with 2 EC2 Compute Units each)
-64-bit platform
So far I have modified my postgresql.conf file (PostgreSQL 8.1.3). The
modifications I have made are as follows:
shared_buffers = 786432
work_mem = 10240
maintenance_work_mem = 6291456
max_fsm_pages = 3000000
wal_buffers = 2048
checkpoint_segments = 200
checkpoint_timeout = 300
checkpoint_warning = 30
autovacuum = off
There are a variety of instance types available in the Amazon cloud
(http://aws.amazon.com/ec2/instance-types/), including high memory and
high CPU. High memory instance types come with 34GB or 68GB of memory.
High CPU instance types have a lot less memory (7GB max) but up to 8
virtual cores. I am more than willing to change to any of the other
instance types.
Also, there is nothing else happening on the loading server. It is
completely dedicated to the load.
Any advice would be greatly appreciated.
Thanks,
Ben
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