CODEWITHSUNDEEP
scalaapache-sparkrddlinux-disk-free
Vin
Vin

Reputation: 177

Spark: Split is not a member of org.apache.spark.sql.Row

Below is my code from Spark 1.6. I am trying to convert it to Spark 2.3 but I am getting error for using split.

Spark 1.6 code:

val file = spark.textFile(args(0))
val mapping = file.map(_.split('/t')).map(a => a(1))
mapping.saveAsTextFile(args(1))

Spark 2.3 code:

val file = spark.read.text(args(0))
val mapping = file.map(_.split('/t')).map(a => a(1)) //Getting Error Here
mapping.write.text(args(1))

Error Message:

value split is not a member of org.apache.spark.sql.Row

Upvotes: 4

Views: 7432

Answers (1)

Leo C
Leo C

Reputation: 22449

Unlike spark.textFile which returns a RDD, spark.read.text returns a DataFrame which is essentially a RDD[Row]. You could perform map with a partial function as shown in the following example:

// /path/to/textfile:
// a    b   c
// d    e   f

import org.apache.spark.sql.Row

val df = spark.read.text("/path/to/textfile")

df.map{ case Row(s: String) => s.split("\\t") }.map(_(1)).show
// +-----+
// |value|
// +-----+
// |    b|
// |    e|
// +-----+

Upvotes: 5

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