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Added SparkGCE Script for Version 0.9.1 #681
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Can one of the admins verify this patch? |
Did any of the admin had chance to check it out? Let me know if you want me to modify anything in it? |
@sigmoidanalytics sorry for the late reply on this, it looks like this got created during the 1.0 release period and reviewers missed it. Hopefully we can get this in 1.2. The main question I have is whether it's possible to share more code between this and the EC2 scripts. Is there any Python library that abstracts over the cloud provider? |
Mostly https://libcloud.apache.org/ should work to abstract away some Whirr does some cloud level abstraction but would probably not apply here Regards On Mon, Jul 28, 2014 at 8:00 PM, Matei Zaharia notifications@github.com
Regards, |
Libcloud looks good actually, and it's nice that it's another Apache project. Would be worth a try if you guys want to investigate it. It would be awesome if we also get OpenStack as a result of it. |
Can one of the admins verify this patch? |
@sigmoidanalytics Did you ever take a look at libcloud to see if we could abstract out some commonality with the spark_ec2 scripts? |
Oh and also, all GitHub PRs should have a Jira SPARK-XYZ title in the title. I created one for you -- can you please update this PR name to be "SPARK-4400 Added SparkGCE Script"? |
Correction, please use SPARK-1422 |
LibCloud looks decent for launching machine across datacenters providers, On Fri, Nov 14, 2014 at 4:39 PM, Andrew Ash notifications@github.com
Regards, |
This is being maintained in it's own package now, so let's close this issue. |
…ng (apache#681)" (apache#682) This reverts commit 035f4e4.
AL-8879 Fixed bug where the new executor gets expired tokens when the new executor registration time overlaps with the driver delegation token update time
…ng (apache#681)" (apache#682) This reverts commit 035f4e4.
I have added the SparkGCE script in this pull request. Just like the spark_ec2 script, this one also reads certain command-line arguments (See the README.md for more details) like the cluster name and all, then starts the machines in the google cloud, sets up the network, adds a 500GB empty disk to all machines, generate the ssh keys on master and transfer it to all slaves and install java and downloads and configures Spark-v0.9.1/Shark-v0.9.1/Hadoop-v0.9.1. Also it starts the shark server automatically. Currently the version is 0.9.1 but I'm happy to add/support more versions