gengliangwang commented on a change in pull request #26907: [SPARK-30267][SQL]
Avro arrays can be of any List
URL: https://github.com/apache/spark/pull/26907#discussion_r362583781
##########
File path:
external/avro/src/test/scala/org/apache/spark/sql/avro/AvroCatalystDataConversionSuite.scala
##########
@@ -246,4 +271,45 @@ class AvroCatalystDataConversionSuite extends
SparkFunSuite
}.getMessage
assert(message == "Cannot convert Catalyst type StringType to Avro type
\"long\".")
}
+
+ test("avro array can be generic java collection") {
+ val jsonFormatSchema =
+ """
+ |{ "type": "record",
+ | "name": "record",
+ | "fields" : [{
+ | "name": "array",
+ | "type": {
+ | "type": "array",
+ | "items": ["null", "int"]
+ | }
+ | }]
+ |}
+ """.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): Unit = {
+ checkResult(
Review comment:
The method `checkResult` returns a `Boolean` and won't fail if the result
doesn't match the expected answer.
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