[GitHub] [spark] gengliangwang commented on a change in pull request #26780: [SPARK-27506][SQL] Allow deserialization of Avro data using compatible schemas

[GitBox <gi...@apache.org>]

gengliangwang commented on a change in pull request #26780: [SPARK-27506][SQL] Allow deserialization of Avro data using compatible schemas 
URL: https://github.com/apache/spark/pull/26780#discussion_r355701376
 
 

 ##########
 File path: external/avro/src/test/scala/org/apache/spark/sql/avro/AvroFunctionsSuite.scala
 ##########
 @@ -153,4 +153,79 @@ class AvroFunctionsSuite extends QueryTest with SharedSparkSession {
       assert(df.collect().map(_.get(0)) === Seq(Row("one"), Row("two"), Row("three"), Row("four")))
     }
   }
+
+  test("SPARK-27506: roundtrip in to_avro and from_avro with different compatible schemas") {
+    val df = spark.range(10).select(
+      struct('id.as("col1"), 'id.cast("string").as("col2")).as("struct")
+    )
+    val avroStructDF = df.select(functions.to_avro('struct).as("avro"))
+    val actualAvroSchema = s"""
+                              |{
+                              |  "type": "record",
+                              |  "name": "struct",
+                              |  "fields": [
+                              |    {"name": "col1", "type": "int"},
+                              |    {"name": "col2", "type": "string"}
+                              |  ]
+                              |}
 
 Review comment:
   +1
   @Fokko Could you address this comment?

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