Walid Mellouli created SPARK-25333:
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Summary: Ability to add new columns in the beginning of a Dataset
Key: SPARK-25333
URL: https://issues.apache.org/jira/browse/SPARK-25333
Project: Spark
Issue Type: Improvement
Components: SQL
Affects Versions: 2.4.0
Reporter: Walid Mellouli
When we add new columns in a Dataset, they are added automatically at the end
of the Dataset.
{code:java}
val df = sc.parallelize(Seq(1, 2, 3)).toDF
df.printSchema
root
|-- value: integer (nullable = true)
{code}
When we add a new column:
{code:java}
val newDf = df.withColumn("newColumn", col("value") + 1)
newDf.printSchema
root
|-- value: integer (nullable = true)
|-- newColumn: integer (nullable = true)
{code}
Generally users want to add new columns either at the end or in the beginning,
depends on use cases.
In my case for example, we add technical columns in the beginning of a Dataset
and we add business columns at the end.
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