gengliangwang commented on a change in pull request #29145:
URL: https://github.com/apache/spark/pull/29145#discussion_r462287441



##########
File path: 
external/avro/src/test/scala/org/apache/spark/sql/avro/AvroCatalystDataConversionSuite.scala
##########
@@ -287,30 +309,53 @@ class AvroCatalystDataConversionSuite extends 
SparkFunSuite
         |}
       """.stripMargin
     val avroSchema = new Schema.Parser().parse(jsonFormatSchema)
-    val dataType = SchemaConverters.toSqlType(avroSchema).dataType
-    val deserializer = new AvroDeserializer(avroSchema, dataType)
-
-    def checkDeserialization(data: GenericData.Record, expected: Any): Unit = {
-      assert(checkResult(
-        expected,
-        deserializer.deserialize(data),
-        dataType, exprNullable = false
-      ))
-    }
 
     def validateDeserialization(array: java.util.Collection[Integer]): Unit = {
       val data = new GenericRecordBuilder(avroSchema)
         .set("array", array)
         .build()
       val expected = InternalRow(new GenericArrayData(new 
util.ArrayList[Any](array)))
-      checkDeserialization(data, expected)
+      checkDeserialization(avroSchema, data, Some(expected))
 
       val reEncoded = new BinaryMessageDecoder[GenericData.Record](new 
GenericData(), avroSchema)
         .decode(new BinaryMessageEncoder(new GenericData(), 
avroSchema).encode(data))
-      checkDeserialization(reEncoded, expected)
+      checkDeserialization(avroSchema, reEncoded, Some(expected))
     }
 
     validateDeserialization(Collections.emptySet())
     validateDeserialization(util.Arrays.asList(1, null, 3))
   }
+
+  test("SPARK-32346: filter pushdown to Avro deserializer") {
+    val schema =
+      """
+        |{
+        |  "type" : "record",
+        |  "name" : "test_schema",
+        |  "fields" : [
+        |    {"name": "Age", "type": "int"},
+        |    {"name": "Name", "type": "string"}
+        |  ]
+        |}
+        """.stripMargin
+    val avroSchema = new Schema.Parser().parse(schema)
+    val sqlSchema = new StructType().add("Age", "int").add("Name", "string")
+    val data = new GenericRecordBuilder(avroSchema)
+      .set("Age", 39)

Review comment:
       It would be great to add more rows here.




----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.

For queries about this service, please contact Infrastructure at:
[email protected]



---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]

Reply via email to