Howdy Andrew,
I think I am running into the same issue [1] as you. It appears that Spark
opens up dynamic / ephemera [2] ports for each job on the shell and the
workers. As you are finding out, this makes securing and managing the
network for Spark very difficult.
> Any idea how to restrict the 'Workers' port range?
The port range can be found by running:
$ sysctl net.ipv4.ip_local_port_range
net.ipv4.ip_local_port_range = 32768 61000
With that being said, a couple avenues you may try:
Limit the dynamic ports [3] to a more reasonable number and open all
of these ports on your firewall; obviously, this might have
unintended consequences like port exhaustion.
Secure the network another way like through a private VPN; this may
reduce Spark's performance.
If you have other workarounds, I am all ears --- please let me know!
Jacob
[1]
http://apache-spark-user-list.1001560.n3.nabble.com/Securing-Spark-s-Network-tp4832p4984.html
[2] http://en.wikipedia.org/wiki/Ephemeral_port
[3]
http://www.cyberciti.biz/tips/linux-increase-outgoing-network-sockets-range.html
Jacob D. Eisinger
IBM Emerging Technologies
[email protected] - (512) 286-6075
From: Andrew Lee <[email protected]>
To: "[email protected]" <[email protected]>
Date: 05/02/2014 03:15 PM
Subject: RE: spark-shell driver interacting with Workers in YARN mode -
firewall blocking communication
Hi Yana,
I did. I configured the the port in spark-env.sh, the problem is not the
driver port which is fixed.
it's the Workers port that are dynamic every time when they are launched in
the YARN container. :-(
Any idea how to restrict the 'Workers' port range?
Date: Fri, 2 May 2014 14:49:23 -0400
Subject: Re: spark-shell driver interacting with Workers in YARN mode -
firewall blocking communication
From: [email protected]
To: [email protected]
I think what you want to do is set spark.driver.port to a fixed port.
On Fri, May 2, 2014 at 1:52 PM, Andrew Lee <[email protected]> wrote:
Hi All,
I encountered this problem when the firewall is enabled between the
spark-shell and the Workers.
When I launch spark-shell in yarn-client mode, I notice that Workers
on the YARN containers are trying to talk to the driver
(spark-shell), however, the firewall is not opened and caused
timeout.
For the Workers, it tries to open listening ports on 54xxx for each
Worker? Is the port random in such case?
What will be the better way to predict the ports so I can configure
the firewall correctly between the driver (spark-shell) and the
Workers? Is there a range of ports we can specify in the
firewall/iptables?
Any ideas?
