How to read list of strings (column header) and associate into a data frame through complex data types?

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Reading a list of Strings through array

val HeadersList = Array("Name","Designation","Company")

And pass this Array type into case class

case class Header(HeadersList: Array[String])

And associate into a CSV dataframe

val schemaHeader = Encoders.product[Header].schema

spark.read.format("csv').option("delimiter",";").schema(schemaHeader).load(path)

But following error it is throwing

java.lang.UnsupportedOperationException: CSV data source does not support array data type

So my questions is that can't we pass atomic types into case classes and attach to CSV file ?

edited Nov 13 at 6:19

asked Nov 8 at 10:55

Suresh G

305

add a comment |

up vote
-1
down vote

favorite

Reading a list of Strings through array

val HeadersList = Array("Name","Designation","Company")

And pass this Array type into case class

case class Header(HeadersList: Array[String])

And associate into a CSV dataframe

val schemaHeader = Encoders.product[Header].schema

spark.read.format("csv').option("delimiter",";").schema(schemaHeader).load(path)

But following error it is throwing

java.lang.UnsupportedOperationException: CSV data source does not support array data type

So my questions is that can't we pass atomic types into case classes and attach to CSV file ?

edited Nov 13 at 6:19

asked Nov 8 at 10:55

Suresh G

305

add a comment |

up vote
-1
down vote

favorite

Reading a list of Strings through array

val HeadersList = Array("Name","Designation","Company")

And pass this Array type into case class

case class Header(HeadersList: Array[String])

And associate into a CSV dataframe

val schemaHeader = Encoders.product[Header].schema

spark.read.format("csv').option("delimiter",";").schema(schemaHeader).load(path)

But following error it is throwing

java.lang.UnsupportedOperationException: CSV data source does not support array data type

So my questions is that can't we pass atomic types into case classes and attach to CSV file ?

edited Nov 13 at 6:19

asked Nov 8 at 10:55

Suresh G

305

Reading a list of Strings through array

val HeadersList = Array("Name","Designation","Company")

And pass this Array type into case class

case class Header(HeadersList: Array[String])

And associate into a CSV dataframe

val schemaHeader = Encoders.product[Header].schema

spark.read.format("csv').option("delimiter",";").schema(schemaHeader).load(path)

But following error it is throwing

java.lang.UnsupportedOperationException: CSV data source does not support array data type

So my questions is that can't we pass atomic types into case classes and attach to CSV file ?

apache-spark apache-spark-sql hadoop2

edited Nov 13 at 6:19

asked Nov 8 at 10:55

Suresh G

305

edited Nov 13 at 6:19

asked Nov 8 at 10:55

Suresh G

305

edited Nov 13 at 6:19

asked Nov 8 at 10:55

Suresh G

305

asked Nov 8 at 10:55

Suresh G

305

asked Nov 8 at 10:55

Suresh G

305

add a comment |

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