alexeykudinkin commented on code in PR #5427:
URL: https://github.com/apache/hudi/pull/5427#discussion_r858121011
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hudi-client/hudi-spark-client/src/main/scala/org/apache/hudi/HoodieSparkUtils.scala:
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@@ -324,7 +326,14 @@ object HoodieSparkUtils extends SparkAdapterSupport {
val name2Fields = tableAvroSchema.getFields.asScala.map(f => f.name() ->
f).toMap
// Here have to create a new Schema.Field object
// to prevent throwing exceptions like
"org.apache.avro.AvroRuntimeException: Field already used".
- val requiredFields = requiredColumns.map(c => name2Fields(c))
+ val requiredFields = requiredColumns.filter(c => {
Review Comment:
We should not relax this here actually, b/c `requiredColumns` will contain
also query columns.
Instead we should provide `HoodieMergeOnReadRDD` 2 parquet readers:
1. Primed for merging (ie for schema containing record-key, precombine-key)
2. Primed for NO merging (ie whose schema could be essentially empty)
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