Sanjay Dasgupta created SPARK-16347:
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Summary: DataFrame allows duplicate column-names
Key: SPARK-16347
URL: https://issues.apache.org/jira/browse/SPARK-16347
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 2.0.0
Environment: Databricks community edition
Scala notebook in Google-Chrome
Linux (Ubuntu 14.04LTS)
Reporter: Sanjay Dasgupta
Certain DataFrame APIs allow duplicate column-names. The following code
illustrates the problem:
case class Row(integer: Int, string1: String, string2: String)
val rows = spark.sparkContext.parallelize(Seq(Row(1, "one", "one"), Row(2,
"two", "two"), Row(3, "three", "three")))
// DUPLICATED COLUMN-NAMES ...
val df = rows.toDF("integer", "string", "string")
df.printSchema()
Here is the output:
root
|-- integer: integer (nullable = false)
|-- string: string (nullable = true)
|-- string: string (nullable = true)
defined class Row
rows: org.apache.spark.rdd.RDD[Row] = ParallelCollectionRDD[168] at parallelize
at <console>:39
df: org.apache.spark.sql.DataFrame = [integer: int, string: string ... 1 more
field]
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