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Posted to issues@spark.apache.org by "Walid Mellouli (JIRA)" <ji...@apache.org> on 2018/09/04 17:08:00 UTC
[jira] [Updated] (SPARK-25333) Ability to add new columns in the
beginning of a Dataset
[ https://issues.apache.org/jira/browse/SPARK-25333?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Walid Mellouli updated SPARK-25333:
-----------------------------------
External issue URL: https://github.com/apache/spark/pull/22332
Labels: pull-request-available (was: )
> 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
> Priority: Minor
> Labels: pull-request-available
> Original Estimate: 2h
> Remaining Estimate: 2h
>
> 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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