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https://issues.apache.org/jira/browse/ARROW-7905?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17319779#comment-17319779
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Matt Topol commented on ARROW-7905:
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Hey [~renato2099] as I put the chunks up for PR, it includes the tests which 
provide various examples that can be used. So far the PRs haven't gotten to the 
top level yet which would have examples of actually full reading/writing 
parquet files yet, but there will be tests and examples in the docs once those 
parts of the code get PRs made for them.

> [Go][Parquet] Port the C++ Parquet implementation to Go
> -------------------------------------------------------
>
>                 Key: ARROW-7905
>                 URL: https://issues.apache.org/jira/browse/ARROW-7905
>             Project: Apache Arrow
>          Issue Type: New Feature
>          Components: Go
>            Reporter: Nick Poorman
>            Assignee: Nick Poorman
>            Priority: Minor
>              Labels: Go, Parquet, golang, pull-request-available
>          Time Spent: 143h 56m
>  Remaining Estimate: 25.55h
>
> I’m currently in the progress of porting the C++ version of Parquet in the 
> Apache Arrow project to Golang. Many projects and companies have been and are 
> building their data lakes and persistence layer using Parquet. Apache Spark 
> uses it heavily for persistence (including Databricks DeltaLake).
> To me this is the missing component for people to truly begin using the Go 
> implementation of Arrow with any existing data architectures.
> If you have any interest in this project, give this issue a watch as it will 
> keep me motivated to finish the port. Also, if you have specific use cases 
> feel free to drop them in here so I can keep them in mind as I continue with 
> the port.
> Things with the code base are rather in flux at the moment as I figure out 
> how to solve various nuances between the features of C++ and Go. As soon as I 
> have a solid chunk of the port working, I’ll create a PR in the Apache Arrow 
> project on Github and let everyone know in here.



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