the-other-tim-brown commented on code in PR #17904:
URL: https://github.com/apache/hudi/pull/17904#discussion_r2755769421
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hudi-client/hudi-spark-client/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/SparkBasicSchemaEvolution.scala:
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@@ -20,32 +20,118 @@
package org.apache.spark.sql.execution.datasources.parquet
import org.apache.hudi.SparkAdapterSupport.sparkAdapter
-
+import org.apache.hudi.common.model.HoodieFileFormat
import org.apache.spark.sql.HoodieSchemaUtils
import org.apache.spark.sql.catalyst.expressions.UnsafeProjection
-import org.apache.spark.sql.types.StructType
+import org.apache.spark.sql.execution.datasources.SparkSchemaTransformUtils
+import org.apache.spark.sql.types.{ArrayType, DataType, MapType, StructField,
StructType}
/**
- * Intended to be used just with HoodieSparkParquetReader to avoid any
java/scala issues
+ * Generic schema evolution handler for different file formats.
+ * Supports Parquet (default), and Lance currently.
Review Comment:
Can you summarize why the file formats need to be handled differently? At
this point it should be row to row conversions which will not depend on the
file that the row comes from, right?
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