Comments (1)
So here's a summary of what I'm going with for now:
- Binary distribution: Users will primarily consume Flintrock as an "all-in-one" package or binary. They will not need Python installed to use Flintrock.
- Source distribution: Developers wanting to somehow extend or hook into Flintrock will be able to install it via pip. Flintrock will require Python 3.4+ in this case.
I'm closing this in favor of #15, where we'll sort out the details of how to do this.
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Related Issues (20)
- Issues reading S3 data on spark Cluster. HOT 11
- Authentication failure while launching cluster HOT 1
- Gracefully handle interrupted launches: allow flintrock caller to more easily idenify instances HOT 1
- Possible regression? Cluster Launch With More than 20 instances hits AWS Rate Limits HOT 4
- Possible issue in launching large number of instances and then destroying the cluster HOT 5
- New Release HOT 2
- SPARK_PUBLIC_DNS is incorrectly set when launching into a private VPC HOT 8
- get error when running "flintrock configure" command HOT 2
- Update parmaiko dependency to 2.10.1+ HOT 1
- SSH timeout and [Errno None] Unable to connect to port 22 on AWS EC2 HOT 6
- Spark connection issue on EC2 HOT 5
- Locked out at random. Never to recover. HOT 8
- request a new release HOT 1
- AdoptOpenJDK.jfrog.io has been deprecated HOT 6
- Fail to launch flintrock using Adoptuim HOT 14
- Spot instance tags issue HOT 5
- flintrock requires a pretty old version of Click
- Address packaging warnings related to data files included inside the `flintrock` package directory
- Decide on future of standalone packages HOT 1
- Merge setup.cfg into pyproject.toml
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