Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Fixed width support. #391

Open
wants to merge 2 commits into
base: master
Choose a base branch
from
Open

Fixed width support. #391

wants to merge 2 commits into from

Conversation

etspaceman
Copy link

Adds Relation, LineReader and BulkReader traits to avoid duplicated code. Largely derived from https://github.com/quartethealth/spark-csv and https://github.com/quartethealth/spark-fixedwidth.

This is in response to the following PR (created by @blrnw3) being closed without a merge:

#259

A fixed-width parser is a very common use case that I think several users would enjoy using. We plan to use this in our current production environment.

@blrnw3
Copy link

blrnw3 commented Oct 27, 2016

Nice job

@HyukjinKwon
Copy link
Member

HyukjinKwon commented Oct 27, 2016

If I understood correctly, this library now avoids to add new features but only accepts critical bug fixes. How about proposing this into Spark?

@etspaceman
Copy link
Author

I hadn't realized that. This is disappointing.

I'll see if I can get this proposed to the spark readers though.

@kurtmaile
Copy link

Hi, Is fixed width csv still not supported in spark / databricks for csv parsing? thanks

@falaki
Copy link
Member

falaki commented Jun 14, 2018

@kurtmaile this repository is on maintenance mode and does not accept new features. All new feature development should be directed to Apache Spark CSV data source implementation.

@kurtmaile
Copy link

kurtmaile commented Jun 14, 2018 via email

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

5 participants