Github user liancheng commented on a diff in the pull request:
https://github.com/apache/spark/pull/7971#discussion_r39197650
--- Diff: core/src/test/scala/org/apache/spark/SparkContextSuite.scala ---
@@ -215,6 +224,102 @@ class SparkContextSuite extends SparkFunSuite with
LocalSparkContext {
}
}
+ test("Generic Avro Records as input") {
+ withTempDir { dir =>
+ try {
+ sc = new SparkContext(new
SparkConf().setAppName("test").setMaster("local"))
+ val schemaStr = """
+ |{
+ | "type" : "record",
+ | "name" : "test_schema",
+ | "fields" : [{
+ | "name" : "string",
+ | "type" : "string",
+ | "doc" : "some string of characters"
+ | }, {
+ | "name": "int",
+ | "type": "int",
+ | "doc": "some random integer"
+ | }]
+ |}
+ |
+ """.stripMargin
+ val schema = new Schema.Parser().parse(schemaStr)
+ val outputFile = new
File(s"${dir.getCanonicalPath}/avro_test.avro")
+ val datumWriter = new GenericDatumWriter[GenericRecord](schema)
+ val dataFileWriter = new DataFileWriter[GenericRecord](datumWriter)
+ dataFileWriter.create(schema, outputFile)
+ for (i <- 1 to 10) {
+ val avroRec = new GenericData.Record(schema)
+ avroRec.put("string", Random.nextString(10))
+ avroRec.put("int", 10)
+ dataFileWriter.append(avroRec)
+ }
+ dataFileWriter.close()
+ val sum = sc.avroFile(dir.getCanonicalPath,
schema).map(_.get("int")
+ .asInstanceOf[Int]).sum()
+ assert(sum == 100)
--- End diff --
Would be nice to also check the actual contents of read Avro records.
While trying to add such a test case, I found that string fields in Avro
files are always materialized as Avro `Utf8`, even if I called
```scala
GenericData.setStringType(schema, GenericData.StringType.String)
```
Can we make this behavior configurable?
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