boundary-layer | Builds Airflow DAGs from configuration files | BPM library

by etsy Python Version: 1.9.18 License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | boundary-layer Summary

boundary-layer is a Python library typically used in Automation, BPM, Amazon S3 applications. boundary-layer has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install boundary-layer' or download it from GitHub, PyPI.

Builds Airflow DAGs from configuration files. Powers all DAGs on the Etsy Data Platform

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Quality

Security

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Support

boundary-layer has a low active ecosystem.

It has 248 star(s) with 57 fork(s). There are 265 watchers for this library.

It had no major release in the last 12 months.

There are 23 open issues and 10 have been closed. On average issues are closed in 34 days. There are 5 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of boundary-layer is 1.9.18

Quality

boundary-layer has 0 bugs and 0 code smells.

Security

boundary-layer has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

boundary-layer code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

boundary-layer is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

boundary-layer releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed boundary-layer and discovered the below as its top functions. This is intended to give you an instant insight into boundary-layer implemented functionality, and help decide if they suit your requirements.

Return a setuptools cmdclass
Return node configuration object
Build a ConfigParser from root
Get the project root directory
Extract the version from the VCS
Validate partitioned properties
Return fixed arguments
Construct property sources and values
Apply preprocessor processors
Prune all nodes in the graph
Build the argument parser
Generate the preamble template
Validate the compatibility_layer
Create a new branch
Insert imports into plugins
Create a versioneer config file
Extract version information from VCS
Attach a destroy_resource node to the graph
Attach a create operation
Validate preprocessor property names
Scans the given setup py py file and checks if it is missing
Build a networkx graph
Validate dags
Create a flow control flow control node
Retrieve imports for the operator
Merge two schemas
Load configs from a list of config files

Get all kandi verified functions for this library.

boundary-layer Key Features

No Key Features are available at this moment for boundary-layer.

boundary-layer Examples and Code Snippets

No Code Snippets are available at this moment for boundary-layer.

Community Discussions

Trending Discussions on boundary-layer

how to create thousands of tasks each day, automatically

Fortran code (.f95) compiles fine in Windows g95 compiler but incorrectly in Ubuntu gfortran

QUESTION

how to create thousands of tasks each day, automatically

Asked 2019-Apr-15 at 16:46

We would like to use Apache Airflow to mostly schedule Scrapy Python Spiders, and some other scripts. We will have thousands of spiders, and the scheduling of them can vary, from day to day so we want to be able to create the Airflow dags and schedule them all of them once a day, automatically from a database. The only examples I have seen for airflow use python scripts to write the DAG files.

How is the best way to create the dag files and scheduling automatically?

EDIT: I Managed to find a solution which should work, using YAML files https://codeascraft.com/2018/11/14/boundary-layer%E2%80%89-declarative-airflow-workflows/

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ANSWER

Answered 2019-Apr-15 at 16:46

Airflow can be used in thousands of dynamic tasks, but it should not. Airflow DAGs are supposed to be pretty constant. You still can use Airflow, for example, to process the whole bunch of scraped data and use this info in your ETL process later.

Large amount of dynamic tasks can lead to DAG runs like it:

Which leads to many garbage info both in GUI and in log files.

But if you really want to use only Airflow, you can read this article (about dynamic DAG generation) and this article (about dynamic tasks generation inside the DAG).

Source https://stackoverflow.com/questions/55666302

QUESTION

Fortran code (.f95) compiles fine in Windows g95 compiler but incorrectly in Ubuntu gfortran

Asked 2018-Mar-08 at 01:24

I am trying to compile an .f95 fortran script so it can run on Ubuntu. The script is available here -> Link to zip file containing .f95 script

It compiles and runs fine when I switch over to Windows and compile using g95 compiler. The .exe file produced also runs fine in Ubuntu through wine.

However if I try to compile to make an Ubuntu file, it does not work properly. I don't get a compile error, but if I run the resultant file, either the program gets stuck in an infinite loop, or the output is all wrong. It's difficult for me to see where it is going wrong because I did not write the original code and only have a shaky understanding of Fortran, but it seems to be something to do with the numbers being calculated wrong leading to very large/small/inappropriately negative output (sorry to be so vague).

I am running 16.04 xenial ubuntu and gfortran 5.4.0.

Any help/thoughts appreciated this is driving me up the wall! Thanks

Code below for quick reference:

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ANSWER

Answered 2018-Mar-08 at 01:24

Compiling your program with gfortran -Wall gives

Source https://stackoverflow.com/questions/49142348

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install boundary-layer

boundary-layer is distributed via PyPI and can be installed using pip. We recommend installing into a virtual environment, but that's up to you.

Support

boundary-layer requires that each operator have a configuration file to define its schema, the python class it corresponds to, etc. These configuration files are stored in the boundary-layer-default-plugin. We currently include configurations for a number of common Airflow operators (sufficient to support our needs at Etsy, plus a few more), but we know that we are missing quite a few operators that may be needed to satisfy common Airflow use cases. We are committed to continuing to add support for more operators, and we also commit to supporting a quick turn-around time for any contributed pull requests that only add support for additional operators. So please, submit a pull request if something is missing, or at least drop an issue to let us know. Furthermore, due to some differences in the operators and sensors between Airflow release versions, there may be incompatibilities between boundary-layer and some Airflow versions. All of our operators are known to work with Airflow release versions 1.9 and 1.10 (although our schemas validate against the operator arguments for 1.10, which is a superset of those for 1.9 --- there could be some parameters that we allow but that 1.9 will not properly use).

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