sparkR-Mongo connector query to subdocument - mongodb

Question

I am using Mongo-Spark connector all examples in documentation (https://docs.mongodb.com/spark-connector/sparkR/) are fine, but if I test query in a document which has subdocuments it fails, obviously SQL is not ready for this query:
result <- sql(sqlContext, "SELECT DOCUMENT.SUBDOCUMENT FROM TABLE")
ERROR:
com.mongodb.spark.exceptions.MongoTypeConversionException: Cannot cast INT32 into a ConflictType (value: BsonInt32{value=171609012})
at com.mongodb.spark.sql.MapFunctions$.com$mongodb$spark$sql$MapFunctions$$convertToDataType(MapFunctions.scala:79)
at com.mongodb.spark.sql.MapFunctions$$anonfun$3.apply(MapFunctions.scala:38)
at com.mongodb.spark.sql.MapFunctions$$anonfun$3.apply(MapFunctions.scala:36)
at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:108)
at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:108)
at com.mongodb.spark.sql.MapFunctions$.documentToRow(MapFunctions.scala:36)
at com.mongodb.spark.sql.MapFunctions$.castToStructType(MapFunctions.scala:108)
at com.mongodb.spark.sql.MapFunctions$.com$mongodb$spark$sql$MapFunctions$$convertToDataType(MapFunctions.scala:74)
Previously I have registered the table as follow:
registerTempTable(schema, "TABLE")
I guess that the key problem is how to register an mongo-subdocument as table.
Someone has the solution?

Answer 1

Solution: All fields must follow the same type, I had fields in String type and others in Double type for this reason table is registered but it can´t be process.