Hi Nayan
Please find the solution of your problem which work on spark 2.
val spark =
SparkSession.builder().appName("practice").enableHiveSupport().getOrCreate()
val sc = spark.sparkContext
val sqlContext = spark.sqlContext
import spark.implicits._
val dataFrame =
sc.parallelize(List("ERN~58XXXXXX7~^EPN~5XXXXX551~|C~MXXX~MSO~^CAxxE~~~~~~3XXX5"))
.map(s=>s.split("\\|")).map(s=>(s(0),s(1)))
.toDF("phone","contact")
dataFrame.show()
val newDataSet= dataFrame.rdd.map(data=>{
val t1 = ArrayBuffer[String] ()
for (i <- 0.to(1)) {
val col = data.get(i).asInstanceOf[String]
val dd= col.split("\\^").toSeq
for(col<-dd){
t1 +=(col)
}
}
Row.fromSeq(t1.seq)
})
val firtRow = dataFrame.select("*").take(1)(0)
dataFrame.schema.fieldNames
var schema =""
for ((colNames,idx) <- dataFrame.schema.fieldNames.zipWithIndex.view) {
val data = firtRow(idx).asInstanceOf[String].split("\\^")
var j = 0
for(d<-data){
schema = schema + colNames + j + ","
j = j+1
}
}
schema=schema.substring(0,schema.length-1)
val sqlSchema =
StructType(schema.split(",").map(s=>StructField(s,StringType,false)))
sqlContext.createDataFrame(newDataSet,sqlSchema).show()
Regards
Pralabh Kumar
On Mon, Jul 17, 2017 at 1:55 PM, nayan sharma <[email protected]>
wrote:
> If I have 2-3 values in a column then I can easily separate it and create
> new columns with withColumn option.
> but I am trying to achieve it in loop and dynamically generate the new
> columns as many times the ^ has occurred in column values
>
> Can it be achieve in this way.
>
> On 17-Jul-2017, at 3:29 AM, ayan guha <[email protected]> wrote:
>
> You are looking for explode function.
>
> On Mon, 17 Jul 2017 at 4:25 am, nayan sharma <[email protected]>
> wrote:
>
>> I’ve a Dataframe where in some columns there are multiple values, always
>> separated by ^
>>
>> phone|contact|
>> ERN~58XXXXXX7~^EPN~5XXXXX551~|C~MXXX~MSO~^CAxxE~~~~~~3XXX5|
>>
>> phone1|phone2|contact1|contact2|
>> ERN~5XXXXXXX7|EPN~58XXXX91551~|C~MXXXH~MSO~|CAxxE~~~~~~3XXX5|
>>
>> How can this be achieved using loop as the separator between column values
>> are not constant.
>> data.withColumn("phone",split($"phone","\\^")).select($"
>> phone".getItem(0).as("phone1"),$"phone".getItem(1).as("phone2”))
>> I though of doing this way but the problem is column are having 100+
>> separator between the column values
>>
>>
>>
>> Thank you,
>> Nayan
>>
> --
> Best Regards,
> Ayan Guha
>
>
>