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dagster | orchestration platform for the development production | BPM library

 by   dagster-io Python Version: 1.1.9 License: Apache-2.0

 by   dagster-io Python Version: 1.1.9 License: Apache-2.0

kandi X-RAY | dagster Summary

dagster is a Python library typically used in Automation, BPM applications. dagster has no bugs, it has no vulnerabilities, it has a Permissive License and it has high support. However dagster build file is not available. You can install using 'pip install dagster' or download it from GitHub, PyPI.
An orchestration platform for the development, production, and observation of data assets. Dagster lets you define jobs in terms of the data flow between reusable, logical components, then test locally and run anywhere. With a unified view of jobs and the assets they produce, Dagster can schedule and orchestrate Pandas, Spark, SQL, or anything else that Python can invoke. Dagster is designed for data platform engineers, data engineers, and full-stack data scientists. Building a data platform with Dagster makes your stakeholders more independent and your systems more robust. Developing data pipelines with Dagster makes testing easier and deploying faster.
Support
Support
Quality
Quality
Security
Security
License
License
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kandi-support Support

  • dagster has a highly active ecosystem.
  • It has 6375 star(s) with 806 fork(s). There are 91 watchers for this library.
  • There were 10 major release(s) in the last 6 months.
  • There are 1247 open issues and 3607 have been closed. On average issues are closed in 87 days. There are 287 open pull requests and 0 closed requests.
  • It has a positive sentiment in the developer community.
  • The latest version of dagster is 1.1.9
dagster Support
Best in #BPM
Average in #BPM
dagster Support
Best in #BPM
Average in #BPM

quality kandi Quality

  • dagster has 0 bugs and 0 code smells.
dagster Quality
Best in #BPM
Average in #BPM
dagster Quality
Best in #BPM
Average in #BPM

securitySecurity

  • dagster has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • dagster code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
dagster Security
Best in #BPM
Average in #BPM
dagster Security
Best in #BPM
Average in #BPM

license License

  • dagster 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.
dagster License
Best in #BPM
Average in #BPM
dagster License
Best in #BPM
Average in #BPM

buildReuse

  • dagster releases are available to install and integrate.
  • Deployable package is available in PyPI.
  • dagster has no build file. You will be need to create the build yourself to build the component from source.
  • Installation instructions, examples and code snippets are available.
  • It has 314705 lines of code, 17864 functions and 3098 files.
  • It has medium code complexity. Code complexity directly impacts maintainability of the code.
dagster Reuse
Best in #BPM
Average in #BPM
dagster Reuse
Best in #BPM
Average in #BPM
Top functions reviewed by kandi - BETA

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

  • Config field for Spark .
    • Define the Dataproc cluster config field .
      • Define Cloud Dataproc job config .
        • Create a config field for an EMR run job flow .
          • Creates a task execution task .
            • Create a default scaling policy .
              • Creates a Graphene EventRecord from a Dagster event record .
                • Construct a DagsterK job .
                  • Define the definition of the instance fleet .
                    • Returns a sequence of DagsterEvent objects .

                      Get all kandi verified functions for this library.

                      Get all kandi verified functions for this library.

                      dagster Key Features

                      An orchestration platform for the development, production, and observation of data assets.

                      dagster Examples and Code Snippets

                      See all related Code Snippets

                      Community Discussions

                      Trending Discussions on dagster
                      • Is it possible to generate jobs in Dagster dynamically using configuration from database
                      • Using an AuthorizationPolicy causes a 503 error
                      • How to rewrite python script to dagster friendly code
                      • What is proper Partition configs for Dagster job?
                      • poetry run worker.py | FileNotFound [Errno 2] No such file or directory: b'/snap/bin/worker.py'
                      • Is it possible to create dynamic jobs with Dagster?
                      • DagsterUnmetExecutorRequirementsError with dagster CLI during tutorial
                      • How to run tasks in parallel in dagster?
                      • Dagster chaining resources
                      • Azure DevOps | E265 block comment should start with '# ' (linting)
                      Trending Discussions on dagster

                      QUESTION

                      Is it possible to generate jobs in Dagster dynamically using configuration from database

                      Asked 2022-Mar-28 at 20:31

                      Currently, my database has multi departments. I need to apply a data pipeline to all of these departments with different configurations.

                      I want to load configurations for each department from a database. Then use these configuration to generate a list of Jobs in Dagster.

                      For example, I have 3 tenants:

                      Department1: Configuration1

                      Department2: Configuration2

                      Department3: Configuration3

                      These information is stored in my database.

                      How can I load these information and dynamically create 3 jobs (pipelines):

                      Pipeline1 for Department1 with Configuration1

                      Pipeline2 for Department2 with Configuration2

                      Pipeline3 for Department3 with Configuration3

                      Is it possible to do it on Dagster? I can do it with Airflow (dynamically generating DAGs) but not sure how to do this in Dagster. I cannot load database configuration outside of op/job in Dagster.

                      ANSWER

                      Answered 2022-Mar-28 at 20:31

                      In Dagster, your @repository function is just a regular function, so you can run arbitrary code in there to query your database and generate jobs dynamically:

                      @repository
                      def my_repo():
                          configs = # some query to your database
                          jobs = []
                          for config in configs:
                               jobs.append(get_job_for_my_config(config))
                          return jobs
                      

                      If you expect that the database call might be somewhat expensive in terms of time, you can look into making your repository lazy-loaded, which the Dagster RepositoryDefinition docs detail how to do.

                      Source https://stackoverflow.com/questions/71615796

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

                      Vulnerabilities

                      No vulnerabilities reported

                      Install dagster

                      Dagster helps platform teams build systems for data practitioners. Jobs are built from shared, reusable, configurable data processing and infrastructure components. Dagit, Dagster’s web interface, lets anyone inspect these objects and discover how to use them.
                      Dagster is available on PyPI, and officially supports Python 3.6+.
                      Dagster: the core programming model and abstraction stack; stateless, single-node, single-process and multi-process execution engines; and a CLI tool for driving those engines.
                      Dagit: the UI for developing and operating Dagster pipelines, including a DAG browser, a type-aware config editor, and a live execution interface.

                      Support

                      For details on contributing or running the project for development, check out our contributing guide.

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                      Install
                      • pip install dagster

                      Clone
                      • https://github.com/dagster-io/dagster.git

                      • gh repo clone dagster-io/dagster

                      • git@github.com:dagster-io/dagster.git

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