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Spark: java.lang.ClassCastException: org.apache.hadoop.hive.serde2.io.DoubleWritable cannot be cast to org.apache.hadoop.io.Text

By Dinesh

 Reason- 

This occurs because underlying Parquet or ORC file has column with Double Type , whereas Hive reads it as String.

Exception - 

Caused by: java.lang.ClassCastException: org.apache.hadoop.hive.serde2.io.DoubleWritable cannot be cast to org.apache.hadoop.io.Text
	at org.apache.hadoop.hive.serde2.objectinspector.primitive.WritableStringObjectInspector.getPrimitiveWritableObject(WritableStringObjectInspector.java:41)
	at org.apache.spark.sql.hive.HiveInspectors$$anonfun$unwrapperFor$23.apply(HiveInspectors.scala:547)
	at org.apache.spark.sql.hive.HadoopTableReader$$anonfun$14$$anonfun$apply$15.apply(TableReader.scala:426)
	at org.apache.spark.sql.hive.HadoopTableReader$$anonfun$14$$anonfun$apply$15.apply(TableReader.scala:426)
	at org.apache.spark.sql.hive.HadoopTableReader$$anonfun$fillObject$2.apply(TableReader.scala:442)
	at org.apache.spark.sql.hive.HadoopTableReader$$anonfun$fillObject$2.apply(TableReader.scala:433)

Solution - 
One way is to correct Schema, either update Hive Table schema or re-write ORC/ Parquet file with correct data type.

Other way to bypass this error is to set following properties - 
  1. ORC - set spark.sql.hive.convertMetastoreOrc=true; (Note this property works with 1.6 , may not work with Spark 2)
  2. PARQUET - set spark.sql.hive.convertMetastoreParquet=true;

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