pipelinewise | Data Pipeline Framework using the singer.io spec

by transferwise Python Version: v0.53.3 License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | pipelinewise Summary

pipelinewise is a Python library. pipelinewise has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

PipelineWise is a Data Pipeline Framework using the Singer.io specification to ingest and replicate data from various sources to various destinations. Documentation is available at

Support

Quality

Security

License

Reuse

Support

pipelinewise has a low active ecosystem.

It has 541 star(s) with 107 fork(s). There are 85 watchers for this library.

It had no major release in the last 12 months.

There are 47 open issues and 85 have been closed. On average issues are closed in 134 days. There are 25 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of pipelinewise is v0.53.3

Quality

pipelinewise has 0 bugs and 0 code smells.

Security

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

pipelinewise code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pipelinewise 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

pipelinewise releases are available to install and integrate.

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

Installation instructions are not available. Examples and code snippets are available.

It has 16248 lines of code, 846 functions and 100 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Performs partial sync
Check if tap configuration is complete
Check if the state file exists
Check if tap is enabled
Sync a table
Exports a MongoDB collection
Close the connection to the database
Copy a table to a temp directory
Test the tap connection
Return the pool size
Grant a select on a table
Grant to a given schema
Fetch the latest key position in a table
Fetch the current key position
Validate command specific arguments
Saves the state file for the given table
Get a list of grantees for a table
Grant a table to a group
Check if a file exists
Check if given path is a JSON file
Validate a JSON file
Fetch the current log position
Return a list of paths to sample files
Parse command line arguments
Fetch the current replication position
Main function for sync

Get all kandi verified functions for this library.

pipelinewise Key Features

No Key Features are available at this moment for pipelinewise.

pipelinewise Examples and Code Snippets

No Code Snippets are available at this moment for pipelinewise.

Community Discussions

Trending Discussions on pipelinewise

Snowflake DB Transfer to Postgres

QUESTION

Snowflake DB Transfer to Postgres

Asked 2021-Jun-14 at 19:29

I'm trying to make a complete copy of a Snowflake DB into PostgreSQL DB (every table/view, every row). I don't know the best way to go about accomplishing this. I've tried using a package called pipelinewise , but I could not get the access needed to convert a snowflake view to a postgreSQL table (it needs a unique id). Long story short it just would not work for me.

I've now moved on to using the snowflake-sqlalchemy package. So, I'm wondering what is the best way to just make a complete copy of the entire DB. Is it necessary to make a model for each table, because this is a big DB? I'm new to SQL alchemy in general, so I don't know exactly where to start. My guess is with reflections , but when I try the example below I'm not getting any results.

...

ANSWER

Answered 2021-Jun-14 at 19:29

Try this: I got it working on mine, but I have a few functions that I use for my sqlalchemy engine, so might not work as is:

Source https://stackoverflow.com/questions/67973310

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

Vulnerabilities

No vulnerabilities reported

Install pipelinewise

You can download it from GitHub.
You can use pipelinewise 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.