That makes sense -- I'm getting errors during serialization, though.
I convert my List<String> to Utf8[].
I then do a QueueItem.put() and get "Exception in thread "main"
java.lang.ClassCastException: [Lorg.apache.avro.util.Utf8; cannot be
cast to org.apache.avro.generic.GenericArray"
How do I handle this Java->Avro interop? It seems to me that it should
be a lot simpler...
If I try to create a GenericArray<Utf8> and add items to that, it
complains that my schema doesn't look right...so that doesn't feel
like the right path.
My generated class looks like this:
@SuppressWarnings("all")
public class QueueItem extends
org.apache.avro.specific.SpecificRecordBase implements
org.apache.avro.specific.SpecificRecord {
public static final org.apache.avro.Schema SCHEMA$ =
org.apache.avro.Schema.parse("{\"type\":\"record\",\"name\":\"QueueItem\",\"namespace\":\"com.dts\",\"fields\":[{\"name\":\"Columns\",\"type\":[\"null\",{\"type\":\"array\",\"items\":\"string\"}]}]}");
public org.apache.avro.generic.GenericArray<org.apache.avro.util.Utf8>
Columns;
public org.apache.avro.Schema getSchema() { return SCHEMA$; }
public java.lang.Object get(int field$) {
switch (field$) {
case 0: return Columns;
default: throw new org.apache.avro.AvroRuntimeException("Bad index");
}
}
@SuppressWarnings(value="unchecked")
public void put(int field$, java.lang.Object value$) {
switch (field$) {
case 0: Columns =
(org.apache.avro.generic.GenericArray<org.apache.avro.util.Utf8>)value$;
break;
default: throw new org.apache.avro.AvroRuntimeException("Bad index");
}
}
}
On Tue, Jun 15, 2010 at 8:57 AM, Philip Zeyliger <[email protected]> wrote:
> Hi Bradford,
> I believe you use a SpecificDatumReader. Something like:
>
> final static SpecicificDatumReader<QueueItem> QUEUE_ITEM_READER = new
> SpecificDatumReader<QueueItem>(QueueItem.class);
> QueueItem q = QUEUE_ITEM_READER.read(null, decoder);
> There doesn't seem to be a test that exercises this code path in an
> explanatory way, but java/src/java/org/apache/avro/ipc/Requestor.java uses
> something quite similar.
> -- Philip
>
> On Mon, Jun 14, 2010 at 9:20 PM, Bradford Stephens
> <[email protected]> wrote:
>>
>> Greetings,
>>
>> I've poked around for examples of this, but I can't find any. I
>> imagine it's a fairly common use case.
>>
>> I'm serializing some simple objects into bytes for placement onto
>> RabbitMQ. My java class is pretty simple (but it'll grow in complexity
>> in time).:
>>
>> {
>> String[] Columns;
>> }
>>
>>
>> So, I made a .json schema containing this:
>> {
>> "namespace": "com.dts",
>> "name": "QueueItem",
>> "type": "record",
>> "fields": [
>> {"name": "Columns", "type": ["null", {"type": "array",
>> "items":"string"}]}
>> ]
>> }
>>
>>
>> And generated a java class ...
>>
>> Now, I'm writing a test to serialize and deserialize some items. I can
>> figure out the serialization, but not deserialization back to objects.
>>
>> Schema s = Schema.parse(new File("queuetype.json"));
>>
>> ByteArrayOutputStream bao = new ByteArrayOutputStream();
>> GenericDatumWriter w = new GenericDatumWriter(s);
>> Encoder e = new BinaryEncoder(bao);
>> e.init (bao);
>>
>>
>> QueueItem r = new QueueItem();
>> r.put(0, items);
>> w.write(r, e);
>> e.flush();
>>
>> ByteArrayInputStream is = new
>> ByteArrayInputStream(bao.toByteArray());
>> DecoderFactory df = new DecoderFactory();
>> Decoder d = df.createBinaryDecoder(is, null);
>>
>> QueueItem itemout = (QueueItem) .....
>>
>>
>> And that's what I can't figure out -- how do I use a decoder method to
>> create QueueItems?
>>
>> Cheers,
>> B
>>
>> radford Stephens,
>> Founder, Drawn to Scale
>> drawntoscalehq.com
>> 727.697.7528
>>
>> http://www.drawntoscalehq.com -- The intuitive, cloud-scale data
>> solution. Process, store, query, search, and serve all your data.
>>
>> http://www.roadtofailure.com -- The Fringes of Scalability, Social
>> Media, and Computer Science
>
>
--
Bradford Stephens,
Founder, Drawn to Scale
drawntoscalehq.com
727.697.7528
http://www.drawntoscalehq.com -- The intuitive, cloud-scale data
solution. Process, store, query, search, and serve all your data.
http://www.roadtofailure.com -- The Fringes of Scalability, Social
Media, and Computer Science
