meltano | open source convention-over-configuration product

by kressaty Python Version: Current License: MIT License

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | Meltano Summary

Meltano is a Python library. Meltano has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However Meltano build file is not available. You can download it from GitLab.

Meltano (www.meltano.com) is an open source convention-over-configuration product for the whole data lifecycle, all the way from loading data to analyzing it. It is delivered as self-hosted software which can be installed locally or to the cloud. It does data ops, data engineering, analytics, business intelligence, and data science. It leverages open source software and software development best practices including version control, CI, CD, and review apps. Meltano stands for the steps of the data science life-cycle: Model, Extract, Load, Transform, Analyze, Notebook, and Orchestrate.

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Quality

Security

License

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Support

Meltano has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

Meltano has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Meltano is current.

Quality

Meltano has no bugs reported.

Security

Meltano has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Meltano is licensed under the MIT License License. This license is Permissive.

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

Reuse

Meltano releases are not available. You will need to build from source code and install.

Meltano has no build file. You will be need to create the build yourself to build the component from source.

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Meltano Key Features

No Key Features are available at this moment for Meltano.

Meltano Examples and Code Snippets

No Code Snippets are available at this moment for Meltano.

Community Discussions

Trending Discussions on meltano

Using dbt and Meltano, how can I prevent multiple dbt job runs from conflicting with each other?

apache superset query error on datetime with timezone column

Meltano Kafka Monk.io integration

QUESTION

Using dbt and Meltano, how can I prevent multiple dbt job runs from conflicting with each other?

Asked 2021-Dec-28 at 18:34

When running dbt jobs in Meltano, dbt run jobs may collide with each other if run out of a triggered context - for instance, when an on-demand job collides with a scheduled job or a CI-based job.

If dbt run operates on the same tables at the same time, this generally causes a crash and sometimes a data quality issue if the same insert is performed twice on a single target table.

Any way to prevent run collisions, using either Meltano functionality or native dbt functionality?

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ANSWER

Answered 2021-Dec-16 at 18:22

One way is to generate a lock in your target database. Here's an example for MSSQL.

I chose a on-run-start: hook. This hook attempts to grab a lock for dbt that lasts for the duration of the DB session.

dbt_project.yml

Source https://stackoverflow.com/questions/70383118

QUESTION

apache superset query error on datetime with timezone column

Asked 2021-Oct-26 at 21:54

I have a table with a column of type TIMESTAMP WITH TIME ZONE and I try to simply SELECT * FROM table, but I get this message:

postgresql error: '>=' not supported between instances of 'datetime.timedelta' and 'int'`

Am I entering the data incorrectly?

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ANSWER

Answered 2021-Sep-14 at 20:38

turned out I needed a specific version of a python library to be installed

Source https://stackoverflow.com/questions/69124218

QUESTION

Meltano Kafka Monk.io integration

Asked 2021-Feb-09 at 21:23

I'm playing a bit with Monk.io and Kafka - Meltano integration. So, I would like to create a Monk.io Kafka cluster and provision a new connection on Meltano. I'm using https://github.com/lensesio/fast-data-dev for Kafka env. What would be the best approach and have the most sense? I've planed to do it this way: Create runnables of Kafka and Meltano and create Monk actions for Meltano template. Those actions would have custom Meltano loader that would provide pipe to Kafka.

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ANSWER

Answered 2021-Feb-09 at 21:23

I haven't tested the integration with Kafka but should be similar to Postgres in terms of execution in actions i.e to add a loader or extractor if those Kafka plugins exist for Meltano.

Source https://stackoverflow.com/questions/66008377

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

Vulnerabilities

No vulnerabilities reported

Install Meltano

You can download it from GitLab.
You can use Meltano like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitLab. If you have any questions check and ask questions on community page Stack Overflow .

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