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Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2019/12/03 18:31:49 UTC
[GitHub] [spark] gengliangwang commented on issue #26524: [SPARK-29898][SQL]
Support Avro Custom Logical Types
gengliangwang commented on issue #26524: [SPARK-29898][SQL] Support Avro Custom Logical Types
URL: https://github.com/apache/spark/pull/26524#issuecomment-561297441
@pradomota @edrevo I think the usage of the custom logical type support is complex.
In your example, even the column for `iso-date` is StringType, we can always use `df.map(...)` to parse it correctly.
Besides, there are too many code changes for this. I am not sure whether this is a frequent user scenario.
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