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'spark_ec2.py' use boto to control ec2. And boto can support '~/.aws/credentials' which is AWS CLI default configuration file. We can check this information from ref of boto. "A boto config file is a text file formatted like an .ini configuration file that specifies values for options that control the behavior of the boto library. In Unix/Linux systems, on startup, the boto library looks for configuration files in the following locations and in the following order: /etc/boto.cfg - for site-wide settings that all users on this machine will use (if profile is given) ~/.aws/credentials - for credentials shared between SDKs (if profile is given) ~/.boto - for user-specific settings ~/.aws/credentials - for credentials shared between SDKs ~/.boto - for user-specific settings" * ref of boto: http://boto.readthedocs.org/en/latest/boto_config_tut.html * ref of aws cli : http://docs.aws.amazon.com/cli/latest/userguide/cli-chap-getting-started.html However 'spark_ec2.py' only check boto config & environment variable even if there is '~/.aws/credentials', and 'spark_ec2.py' is terminated. So I changed to check '~/.aws/credentials'. cc rxin Jira : https://issues.apache.org/jira/browse/SPARK-8863 Author: JPark <JPark@JPark.me> Closes #7252 from JuhongPark/master and squashes the following commits: 23c5792 [JPark] Check aws access key from aws credentials if there is no boto config |
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| .. | ||
| deploy.generic/root/spark-ec2 | ||
| README | ||
| spark-ec2 | ||
| spark_ec2.py | ||
This folder contains a script, spark-ec2, for launching Spark clusters on Amazon EC2. Usage instructions are available online at: http://spark.apache.org/docs/latest/ec2-scripts.html