HyukjinKwon commented on a change in pull request #23735: [SPARK-26801][SQL]
Read avro types other than record
URL: https://github.com/apache/spark/pull/23735#discussion_r253813710
##########
File path:
external/avro/src/main/scala/org/apache/spark/sql/avro/AvroFileFormat.scala
##########
@@ -67,13 +67,18 @@ private[avro] class AvroFileFormat extends FileFormat
spark.sessionState.conf.ignoreCorruptFiles)
}
- SchemaConverters.toSqlType(avroSchema).dataType match {
+ val schemaType = SchemaConverters.toSqlType(avroSchema)
+
+ schemaType.dataType match {
case t: StructType => Some(t)
- case _ => throw new RuntimeException(
- s"""Avro schema cannot be converted to a Spark SQL StructType:
- |
- |${avroSchema.toString(true)}
- |""".stripMargin)
+ case _ => Some(StructType(Seq(StructField("value", schemaType.dataType,
nullable = false))))
Review comment:
Wait, does this PR target to support to read values not the Avro records?
Since Spark assumes rows, I think it's weird to allow values alone. I think
JSON doesn't support this one. How did you generate the Avro files out of
curiosity?
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