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https://issues.apache.org/jira/browse/SPARK-3569?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-3569:
---------------------------------
Description:
Want to add a metadata field to StructField that can be used by other
applications like ML to embed more information about the column.
{code}
case class case class StructField(name: String, dataType: DataType, nullable:
Boolean, metadata: Map[String, Any] = Map.empty)
{code}
For ML, we can store feature information like categorical/continuous, number
categories, category-to-index map, etc.
One question is how to carry over the metadata in query execution. For example:
{code}
val features = schemaRDD.select('features)
val featuresDesc = features.schema("features").metadata
{code}
was:
Want to add a metadata field to StructField that can be used by other
applications like ML to embed more information about the column.
{code}
case class case class StructField(name: String, dataType: DataType, nullable:
Boolean, metadata: Map[String, Any] = Map.empty)
{code}
For ML, we can store feature information like categorical/continuous, number
categories, category-to-index map, etc
> Add metadata field to StructField
> ---------------------------------
>
> Key: SPARK-3569
> URL: https://issues.apache.org/jira/browse/SPARK-3569
> Project: Spark
> Issue Type: New Feature
> Components: ML, MLlib, SQL
> Reporter: Xiangrui Meng
>
> Want to add a metadata field to StructField that can be used by other
> applications like ML to embed more information about the column.
> {code}
> case class case class StructField(name: String, dataType: DataType, nullable:
> Boolean, metadata: Map[String, Any] = Map.empty)
> {code}
> For ML, we can store feature information like categorical/continuous, number
> categories, category-to-index map, etc.
> One question is how to carry over the metadata in query execution. For
> example:
> {code}
> val features = schemaRDD.select('features)
> val featuresDesc = features.schema("features").metadata
> {code}
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