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https://issues.apache.org/jira/browse/SPARK-19424?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15848634#comment-15848634
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Nira Amit commented on SPARK-19424:
-----------------------------------
[~srowen] So shouldn't this give me a compilation error? I'm confused about how
to load custom data-types from avro, there are many examples in scala but not
in java. I just tried the following:
{code}
JavaPairRDD<AvroKey<MyCustomClass>, NullWritable> records =
sc.newAPIHadoopFile("file:/path/to/datafile.avro",
new AvroKeyInputFormat<MyCustomClass>().getClass(), new
AvroKey<MyCustomClass>().getClass(), NullWritable.class,
sc.hadoopConfiguration());
{code}
And this DOES give a compilation error:
{code}
Error:(253, 36) java: incompatible types: inferred type does not conform to
equality constraint(s)
inferred:
org.apache.avro.mapred.AvroKey<my.package.containing.MyCustomClass>
equality constraints(s):
org.apache.avro.mapred.AvroKey<my.package.containing.MyCustomClass>,capture#1
of ? extends org.apache.avro.mapred.AvroKey
{code}
> Wrong runtime type in RDD when reading from avro with custom serializer
> -----------------------------------------------------------------------
>
> Key: SPARK-19424
> URL: https://issues.apache.org/jira/browse/SPARK-19424
> Project: Spark
> Issue Type: Bug
> Components: Java API
> Affects Versions: 2.0.2
> Environment: Ubuntu, spark 2.0.2 prebuilt for hadoop 2.7
> Reporter: Nira Amit
>
> I am trying to read data from avro files into an RDD using Kryo. My code
> compiles fine, but in runtime I'm getting a ClassCastException. Here is what
> my code does:
> {code}
> SparkConf conf = new SparkConf()...
> conf.set("spark.serializer", KryoSerializer.class.getCanonicalName());
> conf.set("spark.kryo.registrator", MyKryoRegistrator.class.getName());
> JavaSparkContext sc = new JavaSparkContext(conf);
> {code}
> Where MyKryoRegistrator registers a Serializer for MyCustomClass:
> {code}
> public void registerClasses(Kryo kryo) {
> kryo.register(MyCustomClass.class, new MyCustomClassSerializer());
> }
> {code}
> Then, I read my datafile:
> {code}
> JavaPairRDD<MyCustomClass, NullWritable> records =
> sc.newAPIHadoopFile("file:/path/to/datafile.avro",
> AvroKeyInputFormat.class, MyCustomClass.class,
> NullWritable.class,
> sc.hadoopConfiguration());
> Tuple2<MyCustomClass, NullWritable> first = records.first();
> {code}
> This seems to work fine, but using a debugger I can see that while the RDD
> has a kClassTag of my.package.containing.MyCustomClass, the variable first
> contains a Tuple2<AvroKey, NullWritable>, not Tuple2<MyCustomClass,
> NullWritable>! And indeed, when the following line executes:
> {code}
> System.out.println("Got a result, custom field is: " +
> first._1.getSomeCustomField());
> {code}
> I get an exception:
> {code}
> java.lang.ClassCastException: org.apache.avro.mapred.AvroKey cannot be cast
> to my.package.containing.MyCustomClass
> {code}
> Am I doing something wrong? And even so, shouldn't I get a compilation error
> rather than a runtime error?
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