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yruslan avatar yruslan commented on September 25, 2024

Spark does not have varchar() type, nor integer(6) data types, only string and integer, so the expected output you specified is not possible.

However, it could be possible to retain metadata after schema flattening. How do you flat the schema?

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sree018 avatar sree018 commented on September 25, 2024

SparkUtils.flattenSchema(df,useShortFieldManes=false)

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yruslan avatar yruslan commented on September 25, 2024

I've tested if retaining the metadata is possible, and it is.

This PR makes SparkUtils.flattenSchema() retain metadata: #635

It is already merged into master. Please, test if you can and let me know if it works for you.

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sree018 avatar sree018 commented on September 25, 2024

@yruslan

New feature working.

thanks for feature

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yruslan avatar yruslan commented on September 25, 2024

Awesome! Thanks for letting me know

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