spark-avro 2.0.1 generates strange schema (spark-avro 1.0.0 is fine)

[Alex Nastetsky]

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).