If you have a schema already in place, you should use mysqldump options to create the dump of the data to perform in the inserts only
mysqldump -h... -u... -p... --no-create-info --databases ... > MySQLData.sql
You should also make sure to raise the bulk_insert_buffer_size (default is 8M) on all DB Servers to accommodate large extended inserts. This will also help LOAD DATA INFILE if loading non-empty tables.
You are going to have to also adjust your max_allowed_packet (default is 1M).
Try these settings for starters:
[mysqld]
max_allowed_packet=256M
bulk_insert_buffer_size=256M
UPDATE 2011-10-11 06:53 EDT
Regardless of how beefy the hardware is, how much RAM you have allocated, how well tuned the OS is, and how current the version of MySQL is, MySQL will only perform as well as it is configured.
Example: If you have a swimming pool that can hold 10,000 gallons of water, you have a truck holding 10,000 gallons of water, and the hose on the truck is only as big as a straw, you can only push but so much water through the straw to fill the pool. Getting a bigger truck or getting a faster water pump simply will not improve things. You must exchange the hose for a much bigger hose to accommodate more water, thus, more throughput.
In like fashion, MySQL 5.5 out-of-the-box does not come fully tuned.
Example #1: MySQL 5.5 comes with semisynchronous replication. By default, it is disabled. You must do the two step process of starting mysql, runnning INSTALL PLUGIN on master and slave modules, shutdown mysql, add timing and activation options to my.cnf for the semisych features, then starting up mysql for the second time. Only then will semisync replication work.
Example #2: The bulk insert buffer by default is 8M. The bulk insert buffer will not grow because of the presence of any specific hardware or software. It stays 8M until you increase it. It is possible to increase it by either adding it to my.cnf and restarting mysql or running SET bulk_insert_buffer_size = 268435456; to set it to 256M within a session and then load the mysqldump within that same session.
Example #3: MySQL 5.5 is fully capable of engaging multiple CPUs. By default, the features for engaging multiple CPUs is disabled. They require tuning because although MySQL 5.5 is multicore ready, MySQL 5.5 is only as multithreaded as you configure it.
Conclusion: You must configure MySQL to recognize that it has beefy hardware, more RAM, and a cooperative OS at its disposal.
It may have been a problem with max_allowed_packet not being set high enough on both the client (i.e. mysqldump) and the server (i.e. Amazon RDS). I set this to 500M on both and that seems to have fixed the problem.
Since InnoDB's information schema tables only give row count estimates, it's hard to tell if my snapshot truly includes everything from RDS. All the tables are there, but the row counts differ. I'll update with a more definitive answer when I have some time to script a more thorough analysis.
Best Answer
You should be able to stop mysqldump by pressing control-c... or if it's running in the background, by killing the mysqldump process.
The server will realize almost immediately that the client connection mysqldump was holding has gone away and will release any table locks (held by mysqldump, if any) automatically.
This should be a completely safe operation.