cloud-fan commented on code in PR #41052:
URL: https://github.com/apache/spark/pull/41052#discussion_r1201989986
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connector/avro/src/main/scala/org/apache/spark/sql/avro/AvroDeserializer.scala:
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@@ -117,6 +119,19 @@ 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_READING_WITH_INCOMPATIBLE_SCHEMA
+ val preventReadingIncorrectType = !SQLConf.get.getConf(confKey)
+ def isNotExactType: Boolean = {
+ preventReadingIncorrectType && !DataTypeUtils.sameType(realDataType,
catalystType)
Review Comment:
I see. Since there are so many special cases, it's better to use the
original code style and only check the data type for certain cases.
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