tfeda opened a new issue #1517: URL: https://github.com/apache/arrow-datafusion/issues/1517
Is your feature request related to a problem or challenge? Please describe what you are trying to do. #1514 points out a secondary goal for the python library to expose the datafusion and arrow-rust versions. I think Spark has a good implementation of this by binding the spark version to SparkContext in the jvm code, then exposing it to the pyspark API. pyspark's version itself is hard-coded. Describe the solution you'd like Add a version field to the ```ExecutionContext``` struct, and expose it to the datafusion-python library. The version could then be retrieved by users by calling ```ExecutionContext.version``` Describe alternatives you've considered Leaving it out of the rust implementation and just putting it in the python version. Additional context I'm not sure how arrow-rust's version would be added, but a similar approach could be taken. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
