linliu-code commented on code in PR #18126:
URL: https://github.com/apache/hudi/pull/18126#discussion_r2819538883
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hudi-spark-datasource/hudi-spark-common/src/main/scala/org/apache/hudi/SparkHoodieTableFileIndex.scala:
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@@ -134,8 +134,11 @@ class SparkHoodieTableFileIndex(spark: SparkSession,
val partitionFields: Array[StructField] =
partitionColumns.get().map(column => StructField(column, StringType))
StructType(partitionFields)
} else {
+ // Use full partition path (e.g. "nested_record.level") as the
partition column name so that
+ // data schema does not exclude a same-named top-level column (e.g.
"level") when partition
+ // path is a nested field. Otherwise partition value would overwrite
the data column on read.
val partitionFields: Array[StructField] =
partitionColumns.get().filter(column => nameFieldMap.contains(column))
- .map(column => nameFieldMap.apply(column))
+ .map(column => StructField(column,
nameFieldMap.apply(column).dataType))
Review Comment:
generateFieldMap function is only used in this file.
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