Can you report this as an issue at
https://github.com/databricks/spark-avro/issues so that it's easier to
track? Thanks!
On Wed, Oct 14, 2015 at 1:38 PM, Alex Nastetsky <
alex.nastet...@vervemobile.com> wrote:
> I save my dataframe to avro with spark-avro 1.0.0 and it looks like this
> (using avro-tools tojson):
>
> {"field1":"value1","field2":976200}
> {"field1":"value2","field2":976200}
> {"field1":"value3","field2":614100}
>
> But when I use spark-avro 2.0.1, it looks like this:
>
> {"field1":{"string":"value1"},"field2":{"long":976200}}
> {"field1":{"string":"value2"},"field2":{"long":976200}}
> {"field1":{"string":"value3"},"field2":{"long":614100}}
>
> At this point I'd be happy to use spark-avro 1.0.0, except that it doesn't
> seem to support specifying a compression codec (I want deflate).
>
