[jira] [Assigned] (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
]
Apache Spark reassigned SPARK-25333:
Assignee: (was: Apache Spark)
> 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
> 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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[jira] [Assigned] (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
]
Apache Spark reassigned SPARK-25333:
Assignee: Apache Spark
> 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
>Assignee: Apache Spark
>Priority: Minor
> 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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