Howdy Andrew, I agree; the subnet idea is a good one... unfortunately, it doesn't really help to secure the network.
You mentioned that the drivers need to talk to the workers. I think it is slightly broader - all of the workers and the driver/shell need to be addressable from/to each other on any dynamic port. I would check out setting the environment variable SPARK_LOCAL_IP [1]. This seems to enable Spark to bind correctly to a private subnet. Jacob [1] http://spark.apache.org/docs/latest/configuration.html Jacob D. Eisinger IBM Emerging Technologies jeis...@us.ibm.com - (512) 286-6075 From: Andrew Lee <alee...@hotmail.com> To: "user@spark.apache.org" <user@spark.apache.org> Date: 05/04/2014 09:57 PM Subject: RE: spark-shell driver interacting with Workers in YARN mode - firewall blocking communication Hi Jacob, Taking both concerns into account, I'm actually thinking about using a separate subnet to isolate the Spark Workers, but need to look into how to bind the process onto the correct interface first. This may require some code change. Separate subnet doesn't limit itself with port range so port exhaustion should rarely happen, and won't impact performance. By opening up all port between 32768-61000 is actually the same as no firewall, this expose some security concerns, but need more information whether that is critical or not. The bottom line is the driver needs to talk to the Workers. The way how user access the Driver should be easier to solve such as launching Spark (shell) driver on a specific interface. Likewise, if you found out any interesting solutions, please let me know. I'll share the solution once I have something up and running. Currently, it is running ok with iptables off, but still need to figure out how to product-ionize the security part. Subject: RE: spark-shell driver interacting with Workers in YARN mode - firewall blocking communication To: user@spark.apache.org From: jeis...@us.ibm.com Date: Fri, 2 May 2014 16:07:50 -0500 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 jeis...@us.ibm.com - (512) 286-6075 Andrew Lee ---05/02/2014 03:15:42 PM---Hi Yana, I did. I configured the the port in spark-env.sh, the problem is not the driver port which From: Andrew Lee <alee...@hotmail.com> To: "user@spark.apache.org" <user@spark.apache.org> 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: yana.kadiy...@gmail.com To: user@spark.apache.org 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 <alee...@hotmail.com> 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?
