A microframework for simple ETL solutions
Project description
# Bert A microframework for simple ETL solutions
## Begin with
` $ virtualenv -p $(which python3) env $ source env/bin/activate $ pip install bert-etl $ pip install librosa # for demo project $ docker run -p 6379:6379 -d redis # bert-etl runs on redis to share data across CPUs $ bert-runner.py -n demo $ PYTHONPATH='.' bert-runner.py -m demo -j sync_sounds -f `
## Release Notes
### 0.3.0
Added Error Management. When an error occurs, bert-runner will log the error and re-run the job. If the same error happens often enough, the job will be aborted
### 0.2.1
Added Release Notes
### 0.2.0
Added Redis Service auto run. Using docker, redis will be pulled and started in the background
Added Redis Service channels, sometimes you’ll want to run to etl-jobs on the same machine
## Fund Bounty Target Upgrades
Bert provides a boiler plate framework that’ll allow one to write concurrent ETL code using Pythons’ microprocessing module. One function starts the process, piping data into a Redis backend that’ll then be consumed by the next function. The queues are respectfully named for the scope of the function: Work(start) and Done(end) queue. Please consider contributing to Bert Bounty Targets to improve this documentation
https://www.patreon.com/jbcurtin
## More to come Documentation is being worked on
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