Spark1.6 with databricks 2.0.1 : Exception in thread "main" java.lang.UnsupportedOperationException: This mix of union types is not supported (see README): ArrayBuffer(RECORD) at

[sagarsvp]

For databricks 2.0.1 with spark 1.6, While Reading a Complex AVRO with below Code

**SparkConf conf = new SparkConf().setAppName("SearchAVRO").setMaster("local[*]");
JavaSparkContext sc = new JavaSparkContext(conf);      
SQLContext sqlContext = new SQLContext(sc);

// Creates a DataFrame from a specified file
DataFrame df = sqlContext.read().format("com.databricks.spark.avro").load(inputPath);**

We get an exception:

Exception in thread "main" java.lang.UnsupportedOperationException: This mix of union types is not supported (see README): ArrayBuffer(RECORD) at com.databricks.spark.avro.SchemaConverters$.toSqlType(SchemaConverters.scala:88) at com.databricks.spark.avro.SchemaConverters$.toSqlType(SchemaConverters.scala:63) at com.databricks.spark.avro.SchemaConverters$.toSqlType(SchemaConverters.scala:79) at com.databricks.spark.avro.SchemaConverters$$anonfun$1.apply(SchemaConverters.scala:56)

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Similar code works properly for databricks 4.0.0 with Spark 2.2

Can you please add support for the same in databricks 2.0.1??