giamo commented on a change in pull request #24405: [SPARK-27506][SQL] Allow 
deserialization of Avro data using compatible schemas
URL: https://github.com/apache/spark/pull/24405#discussion_r314223378
 
 

 ##########
 File path: 
external/avro/src/main/scala/org/apache/spark/sql/avro/AvroDataToCatalyst.scala
 ##########
 @@ -53,7 +54,9 @@ case class AvroDataToCatalyst(
 
   @transient private lazy val avroSchema = new 
Schema.Parser().parse(jsonFormatSchema)
 
-  @transient private lazy val reader = new GenericDatumReader[Any](avroSchema)
 
 Review comment:
   Exactly, to read data you can use a compatible evolved schema, but you also 
need to pass the schema with which the data was originally serialized. Using 
this GenericDatumReader API 
https://avro.apache.org/docs/1.8.2/api/java/org/apache/avro/generic/GenericDatumReader.html#GenericDatumReader(org.apache.avro.Schema,%20org.apache.avro.Schema)

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