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Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2019/05/28 05:00:52 UTC
[GitHub] [spark] dongjoon-hyun commented on issue #24724: User friendly
dataset, dataframe generation for csv datasources without explicit StructType
definitions.
dongjoon-hyun commented on issue #24724: User friendly dataset, dataframe generation for csv datasources without explicit StructType definitions.
URL: https://github.com/apache/spark/pull/24724#issuecomment-496365550
Hi, @swapnilushinde . Thank you for making a PR, but do you the following? It's one-liner.
```scala
scala> spark.version
res0: String = 2.4.3
scala> spark.read.schema("id int, name string, subject string, marks int, result boolean").load("/tmp/csv").printSchema
root
|-- id: integer (nullable = true)
|-- name: string (nullable = true)
|-- subject: string (nullable = true)
|-- marks: integer (nullable = true)
|-- result: boolean (nullable = true)
```
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