How to understand expanded_relationships.dot - puppet

I'm new to puppet. At the moment I try to understand how relationsships between resources work. Because of that I looked at the graphs. Here is an example:
http://www.jansipke.nl/visualizing-puppet-manifest-resources-and-relationships/
At expanded_relationsships.dot I do not understand why there is one edge from Service[ntp] to Class[Ntp] and one edge the other direction. This looks like a cycle ... (And why is there an edge from Class[Settings] to Class[Settings]?)
Can some explain how dot files can be read/understand? Or maybe I missed the documentation for that and someone can post a link?

There is a bug in the current release of Puppet (at the time of writing 3.7.3) whichs causes the expanded relationships graph to not only contain relation edges but also containment edges. See PUP-914 for details.
The issue will be fixed in Puppet 4.0 and there exists a backport of the fix for Puppet 3.x. The easiest way to get a meaningful graph is to manually apply the fix to your local installation, the changes are minimal.
The graph for the linked example will look as follows:

Related

Preventing JHipster import-jdl from overwriting changes when updating entities

With my current workflow I have to check in git and manually read changes like added functions after every import-jdl that touches an entitiy I changed.
Is there a way to add functions to the classes JHipster creates without actually changing the files? Like code generation with anotations or extending JHipster created clasees? I feel like I am missing some important documentation from JHipster, I would be grateful for pointers in the right direction.
Thanks!
I faced this problem in one of my projects and I'm afraid there is no easy way to tell JHipster not to overwrite your changes.
The good news is you have two ways of mitigating this and both will make your life much easier.
Update your entities in a separate branch
The idea is to update your entities (execute the import-jdl command) in a different branch and then, once the whole process is finished merge the changes back to master.
This requires no extra changes to your code. The problem I had with this approach is that sometimes the merges were not trivial and I still had to go through a lot of code just to be sure that everything was still in place and working properly.
Do not change the generated code
This is known as the side-by-side practice. The general idea is that you never change the generated code directly, instead you put your custom code in new files and extend the original ones whenever possible.
This way you can update your entities and JHipster will never remove or modify your custom code.
There are two videos available that will teach you (with examples) how to manage this:
Custom and Generated Code Side by Side by Antonio Goncalves
JHipster side-by-side in practice by David Steiman
In my opinion this is the best approach.
I know this probably isn't the answer you were looking for, but to my knowledge there's no better way.

Managing version conflicts between Kafka-Spark-Scala-Cassandra?

I have been recently working on a project that involves the integration of Kafka, Spark and Cassandra. One of the key things I noticed when trying to get the whole thing setup is that there are a lot of version conflicts that needs to be very carefully matched in order to get these technologies to work together.
In addition, it was important to take note of the Scala version used with Spark when writing your own Spark-Jobs.
A slight change in the version of one of the above technologies breaks the complete flow and requires a proper redo of matching them together.
The task was not very straight forward (at least for me and I guess it's the same for all) and I am wondering how do companies which have these technologies working in sync actually manage this?
As I see it, it is an important problem with new releases and bug fixes being rolled out, to keep these tools working together without a break.
Can someone who has experience with regards to this enlighten me as to how companies actually manage/maintain these conflicts?
Or is it an overstatement to say it's an actual problem?
Thanks in advance

How to iterate over a cucumber feature

I'm writing a feature in cucumber that could be applied to a number of objects that can be programmaticaly determined. Specifically, I'm writing a smoke test for a cloud deployment (though the problem is with cucumber, not the cloud tools, thus stack overflow).
Given a node matching "role:foo"
When I connect to "automatic.eucalyptus.public_ipv4" on port "default.foo.port"
Then I should see "Hello"
The given does a search for nodes with the role foo does and the automatic.eucalyptus... And port come from the node found. This works just fine... for one node.
The search could retun multiple nodes in different environments. Dev will probably return one, test and integration a couple, and prod can vary. The given already finds all of them.
Looping over the nodes in each step doesn't really work. If any one failed in the When, the whole thing would fail. I've looked at scenarios and cucumber-iterate, but both seem to assume that all scenarios are predefined rather than programmatically looked up.
I'm a cuke noob, so I'm probably missing something. Any thoughts?
Edit
I'm "resolving" the problem by flipping the scenario. I'm trying to integrate into a larger cluster definition language to define repeatedly call the feature by passing the info as an environment variable.
I apologize in advance that I can't tell you exactly "how" to do it, but a friend of mine solved a similar problem using a somewhat unorthodox technique. He runs scenarios that write out scenarios to be run later. The gem he wrote to do this is called cukewriter. He describes how to use it in pretty good detail on the github page for the gem. I hope this will work for you, too.

Interactive Graph and Tree visualization for Desktop Application in Haskell

I have seen that there are bindings to graphviz, but it appears to just work with the Dot language and so I'm assuming that it would be more appropriate for static visualization. We have more of a dynamic, often updated, interactive need for automatic laying out and working with graphs and trees. Is there an appropriate library for such a thing in Haskell?
I need something that will work on at least both Linux and Windows
There are bindings to ubigraph, a closed source graph visualization program/library that has a free-ware version available for download. Ubigraph is interactive, fairly fast, and really damned easy to use given the hubigraph bindings - see an old answer of mine for a code example.
This appears to come the closest I was able to find so far:
http://hackage.haskell.org/package/graph-rewriting-layout-0.4.4
I also ran across this:
http://www.haskell.org/pipermail/haskell-cafe/2009-April/060496.html

Is there a typical config or property file format and library in Haskell?

I need a set of key-value pairs for configuration read in from a file. I tried using show on a Data.Map and it doesn't look at all like what I want. It seems this is something many others might have already done so I'm wondering if there is a standard way to do it and what library to use.
Go to hackage.
Click on "packages"
Search for "config".
Notice ConfigFile(TH), EEConfig, and tconfig.
Read the Haddock documentation
Select a couple and implement your task.
Blog about your findings so the rest of us can learn from your new found expertise (thanks!).
EDIT:
I've recently used configurator - which was easy enough. I suggest you try that one!
(Yes, yes. If I took my own advice I would have made a blog for you all)
The configuration category on Hackage should list all relevant libraries:
http://hackage.haskell.org/packages/#cat:Configuration
I have researched the topic myself now, and my conclusion is:
configurator is very good, but it's currently only for user-edited configurations. The application only reads the configuration and cannot modify it. So it's more for server-side applications.
tconfig has a a simple API and looked like it was what I wanted, maybe a bit raw, until I realized it's unmaintained and that some commits which are really important to use the app are applied on github but the hackage package was not updated
Other solutions didn't look like they'd work for me, I didn't like the API, but every application (and tastes) are different.
I think using JSON for instance is not a good solution because at least with Aeson when you add new settings in a new release, the old JSON without the new member from the previous version won't load. Also, i find that solution a bit verbose.
The conclusion of my research is that I wrote my own library, app-settings, which aims to be key-value, read-write, with a as succint and type-safe API as possible. And you'll find it also in the hackage links for the configurations category that I gave.
So to summarize, I think configurator is the standard for read-only configurations (and it's very powerful too, you can split the configuration file with imports for instance). For read-write there are many small libraries, some unmaintained, and no real standard I think.
UPDATE 2018 be sure to look at dhall
I'd also suggest just using Text.JSON or one of the yaml libraries available (I prefer JSON myself, but...).
The configfile package looks like what you want.

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