Using Spark 1.5.1, Parquet 1.7.0.
I'm trying to write Avro/Parquet files. I have this code:
sc.hadoopConfiguration.set(ParquetOutputFormat.WRITE_SUPPORT_CLASS,
classOf[AvroWriteSupport].getName)
AvroWriteSupport.setSchema(sc.hadoopConfiguration, MyClass.SCHEMA$)
myDF.write.parquet(outputPath)
The problem is that the write support class gets overwritten in
org.apache.spark.sql.execution.datasources.parquet.ParquetRelation#prepareJobForWrite:
val writeSupportClass =
if
(dataSchema.map(_.dataType).forall(ParquetTypesConverter.isPrimitiveType)) {
classOf[MutableRowWriteSupport]
} else {
classOf[RowWriteSupport]
}
ParquetOutputFormat.setWriteSupportClass(job, writeSupportClass)
So it doesn't seem to actually write Avro data. When look at the metadata
of the Parquet files it writes, it looks like this:
extra: org.apache.spark.sql.parquet.row.metadata =
{"type":"struct","fields":[{"name":"foo","type":"string","nullable":true,"metadata":{}},{"name":"bar","type":"long","nullable":true,"metadata":{}}]}
I would expect to see something like "extra: avro.schema" instead.
