gengliangwang commented on a change in pull request #29476:
URL: https://github.com/apache/spark/pull/29476#discussion_r473802656
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File path: project/SparkBuild.scala
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@@ -852,6 +852,7 @@ object Unidoc {
.map(_.filterNot(_.getCanonicalPath.contains("org/apache/spark/sql/hive/test")))
.map(_.filterNot(_.getCanonicalPath.contains("org/apache/spark/sql/catalog/v2/utils")))
.map(_.filterNot(_.getCanonicalPath.contains("org/apache/hive")))
+
.map(_.filterNot(_.getCanonicalPath.contains("org/apache/spark/sql/v2/avro")))
Review comment:
Then we will have to move `org.apache.spark.sql.avro.AvroFileFormat` to
`org.apache.spark.sql.execution.datasources.avro.AvroFileFormat` as well, to
make it consistent with ParquetFileFormat.
Originally the package `org.apache.spark.sql.avro` is created for
consistence with the kafka-sql module, since both of them are external modules.
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