cloud-fan commented on code in PR #41052:
URL: https://github.com/apache/spark/pull/41052#discussion_r1211190855
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connector/avro/src/main/scala/org/apache/spark/sql/avro/AvroDeserializer.scala:
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@@ -117,6 +119,10 @@ private[sql] class AvroDeserializer(
val incompatibleMsg = errorPrefix +
s"schema is incompatible (avroType = $avroType, sqlType =
${catalystType.sql})"
+ val realDataType = SchemaConverters.toSqlType(avroType).dataType
+ val confKey = SQLConf.LEGACY_AVRO_ALLOW_INCOMPATIBLE_SCHEMA
+ val preventReadingIncorrectType = !SQLConf.get.getConf(confKey)
+
(avroType.getType, catalystType) match {
Review Comment:
My preference of the code structure is something like this
```
val logicalDataType = SchemaConverters.toSqlType(avroType).dataType
avroType.getType match {
case INT =>
(logicalDataType, catalystType) match {
case (IntegerType, IntegerType) => ...
// allowed for backward compatibility as Avro didn't have logicla date
type at the beginning
case (IntegerType, DateType) => ...
case (DateType, DateType) => ...
case (YearMonthIntervalType, YearMonthIntervalType) => ...
case _ => fail
}
case ...
}
```
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