DPark
DPark is a Python clone of Spark, MapReduce(R) alike computing framework supporting iterative computation.
Example for word counting (wc.py
):
import dpark
file = dpark.textFile("/tmp/words.txt")
words = file.flatMap(lambda x:x.split()).map(lambda x:(x,1))
wc = words.reduceByKey(lambda x,y:x+y).collectAsMap()
print wc
This script can run locally or on a Mesos cluster without any modification, just using different command-line arguments:
$ python wc.py
$ python wc.py -m process
$ python wc.py -m host[:port]
See examples/ for more use cases.
Some more docs (in Chinese): https://github.com/jackfengji/test_pro/wiki
DPark can run with Mesos 0.9 or higher.
If a $MESOS_MASTER
environment variable is set, you can use a
shortcut and run DPark with Mesos just by typing
$ python wc.py -m mesos
$MESOS_MASTER
can be any scheme of Mesos master, such as
$ export MESOS_MASTER=zk://zk1:2181,zk2:2181,zk3:2181/mesos_master
In order to speed up shuffling, you should deploy Nginx at port 5055 for
accessing data in DPARK_WORK_DIR
(default is /tmp/dpark
), such
as:
server {
listen 5055;
server_name localhost;
root /tmp/dpark/;
}
Mailing list: dpark-users@googlegroups.com (http://groups.google.com/group/dpark-users)