Yes, I've read the docs. Would you say most Lightbend customers use
Protobuf? I was leaning towards Avro since it seems to be popular in Kafka
land.

On Fri, Dec 9, 2016 at 6:13 AM, Konrad Malawski <
konrad.malaw...@typesafe.com> wrote:

> Hi Richard,
> I fear not that many people use Avro.
> But I can in general answer your question about SerializerWithStringManif
> est - yeah it's usually the right way, since it's the most evolvable (you
> could even remove classes since it's not keyed by classes strictly).
> So that seems fine.
>
> Making sure you've seen: http://doc.akka.io/docs/akka/current/scala/
> persistence-schema-evolution.html
>
> Happy hakking
>
> On Wed, Dec 7, 2016 at 12:53 AM, Richard Rodseth <rrods...@gmail.com>
> wrote:
>
>> Anyone else using Avro and avro4s to serialize persistence events? I was
>> able to get the SerializerWithStringManifest below working (with generic
>> serialize and deserialize methods). Should I be extending something other
>> than SerializerWithStringManifest, given that Avro on its own helps with
>> schema evolution?
>>
>> Note: avro4s seems very promising, although I did run into this limitation
>> https://github.com/sksamuel/avro4s/issues/75
>>
>> class PersistenceEventsAvroSerializer extends
>> SerializerWithStringManifest {
>>
>>   val FooManifest = "Foo"
>>
>>   val BarManifest = "Bar"
>>
>>   def identifier = 1234567
>>
>>  override def manifest(obj: AnyRef): String =
>>
>>     obj match {
>>
>>       case _: Bar => BarManifest
>>
>>       case _: Foo => FooManifest
>>
>>     }
>>
>>  override def toBinary(obj: AnyRef): Array[Byte] = {
>>
>>    obj match {
>>
>>       case foo: Foo => serialize[Foo](foo)
>>
>>       case bsr: Bar => serialize[Bar](bar)
>>
>>     }
>>
>>   }
>>
>>  override def fromBinary(bytes: Array[Byte], manifest: String): AnyRef =
>> {
>>
>>     manifest match {
>>
>>       case FooManifest => deserialize[Foo](bytes)
>>
>>       case BarManifest => deserialize[Bar](bytes)
>>
>>     }
>>
>>   }
>>
>>   private def serialize[T](data: T)(implicit s: SchemaFor[T], r:
>> ToRecord[T]): Array[Byte] = {
>>
>>     val baos = new ByteArrayOutputStream
>>
>>     val output = AvroOutputStream.binary[T](baos)
>>
>>     output.write(data)
>>
>>     output.close()
>>
>>     val result = baos.toByteArray()
>>
>>     result
>>
>>   }
>>
>>
>>   private def deserialize[T](data: Array[Byte])(implicit s:
>> SchemaFor[T], r: FromRecord[T]): T = {
>>
>>
>>     val input = AvroInputStream.binary[T](data)
>>
>>     val result: T = if (input.iterator.isEmpty) {
>>
>>       ??? // TODO Check
>>
>>     } else {
>>
>>       input.iterator.toSeq.head
>>
>>     }
>>
>>     result
>>
>>   }
>>
>>
>> }
>>
>> --
>> >>>>>>>>>> Read the docs: http://akka.io/docs/
>> >>>>>>>>>> Check the FAQ: http://doc.akka.io/docs/akka/c
>> urrent/additional/faq.html
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>
>
>
> --
> Cheers,
> Konrad 'ktoso' Malawski
> Akka <http://akka.io/> @ Typesafe <http://typesafe.com/>
>
> --
> >>>>>>>>>> Read the docs: http://akka.io/docs/
> >>>>>>>>>> Check the FAQ: http://doc.akka.io/docs/akka/
> current/additional/faq.html
> >>>>>>>>>> Search the archives: https://groups.google.com/group/akka-user
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-- 
>>>>>>>>>>      Read the docs: http://akka.io/docs/
>>>>>>>>>>      Check the FAQ: 
>>>>>>>>>> http://doc.akka.io/docs/akka/current/additional/faq.html
>>>>>>>>>>      Search the archives: https://groups.google.com/group/akka-user
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