dongjoon-hyun commented on a change in pull request #25419: [SPARK-28698][SQL]
Support user-specified output schema in `to_avro`
URL: https://github.com/apache/spark/pull/25419#discussion_r313211129
##########
File path:
external/avro/src/test/scala/org/apache/spark/sql/avro/AvroCatalystDataConversionSuite.scala
##########
@@ -209,4 +209,32 @@ class AvroCatalystDataConversionSuite extends
SparkFunSuite
checkUnsupportedRead(input, avroSchema)
}
}
+
+ test("user-specified schema") {
+ val data = Literal("SPADES")
+ val jsonFormatSchema =
+ """
+ |{ "type": "enum",
+ | "name": "Suit",
+ | "symbols" : ["SPADES", "HEARTS", "DIAMONDS", "CLUBS"]
+ |}
+ """.stripMargin
+ checkEvaluation(
+ AvroDataToCatalyst(
+ CatalystDataToAvro(
+ data,
+ Some(jsonFormatSchema)),
+ jsonFormatSchema,
+ options = Map.empty),
+ data.eval())
+ val message = intercept[SparkException] {
+ AvroDataToCatalyst(
+ CatalystDataToAvro(
+ data,
+ None),
+ jsonFormatSchema,
+ options = Map.empty).eval()
+ }.getMessage
+ assert(message.contains("Malformed records are detected in record
parsing."))
Review comment:
+1. Thanks, @gengliangwang .
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