Github user yhuai commented on a diff in the pull request:
https://github.com/apache/spark/pull/4562#discussion_r24791802
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/parquet/newParquet.scala ---
@@ -287,7 +287,11 @@ case class ParquetRelation2(
}
}
- parquetSchema = maybeSchema.getOrElse(readSchema())
+ try {
+ parquetSchema = readSchema().getOrElse(maybeSchema.get)
+ } catch {
+ case e => throw new SparkException(s"Failed to find schema for
${paths.mkString(",")}", e)
+ }
--- End diff --
How about this
```
parquetSchema = {
if (maybeSchema.isDefined) {
maybeSchema.get
} else {
(readSchema(), maybeMetastoreSchema) match {
case (Some(dataSchema), _) => dataSchema
case (None, Some(metastoreSchema)) => metastoreSchema
case (None, None) =>
throw new SparkException("Failed to get the schema.")
}
}
}
```
We first check if maybeSchema is defined. If not, we read the schema from
existing data. If existing data does not exist, we are dealing with a newly
created empty table and we will use maybeMetastoreSchema defined in the options.
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