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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 03:59:12 UTC
[jira] [Updated] (SPARK-19322) Allow customizable column name in
ScalaReflection.schemaFor
[ https://issues.apache.org/jira/browse/SPARK-19322?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon updated SPARK-19322:
---------------------------------
Labels: bulk-closed (was: )
> Allow customizable column name in ScalaReflection.schemaFor
> -----------------------------------------------------------
>
> Key: SPARK-19322
> URL: https://issues.apache.org/jira/browse/SPARK-19322
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Affects Versions: 2.1.0
> Reporter: Wei Liu
> Priority: Minor
> Labels: bulk-closed
> Original Estimate: 24h
> Remaining Estimate: 24h
>
> When creating StructType using ScalaRelfection.schemaFor, the column names are defined by scala case class parameter names. This causes minor inconvenience when reading/writing data between Python and Scala which follow different naming conventions. Ideally, we should allow customize column names using Scala annotations in a similar fashion to Jackson serialization libraries.
> For example, we could define schema as :
> case class MySchema(@fieldName("long_field") longField: Long, @fieldName("int_field") intField: Int)
> The field/column names can now be customized.
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