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https://issues.apache.org/jira/browse/SPARK-22442?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16239821#comment-16239821
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Mikel San Vicente commented on SPARK-22442:
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yes, that will work but it wont work for the correct schema that will be
inferred if you read directly from json:
spark.read.json(path).as[MyType]
it won't work because the inferred schema will be
[field.1: string, field 2: string]
> Schema generated by Product Encoder doesn't match case class field name when
> using non-standard characters
> ----------------------------------------------------------------------------------------------------------
>
> Key: SPARK-22442
> URL: https://issues.apache.org/jira/browse/SPARK-22442
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.0.2, 2.1.2, 2.2.0
> Reporter: Mikel San Vicente
>
> Product encoder encodes special characters wrongly when field name contains
> certain nonstandard characters.
> For example for:
> {quote}
> case class MyType(`field.1`: String, `field 2`: String)
> {quote}
> we will get the following schema
> {quote}
> root
> |-- field$u002E1: string (nullable = true)
> |-- field$u00202: string (nullable = true)
> {quote}
> As a consequence of this issue a DataFrame with the correct schema can't be
> converted to a Dataset using .as[MyType]
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